diff --git a/README.md.md b/README.md.md new file mode 100644 index 00000000..3f029ac1 --- /dev/null +++ b/README.md.md @@ -0,0 +1,90 @@ + +# ๐ŸŽฌ Data-Driven Movie Studio Strategy + +This project explores which types of films perform best at the box office and translates these insights into actionable recommendations for a new movie studio. Our analysis combines data from multiple movie industry sources to guide decisions around genre selection, budgeting, casting, and production planning. + +--- + +## ๐Ÿ“Œ Project Objective + +To help a new movie studio make informed decisions by analyzing historical movie data and identifying: +- What genres perform best? +- Which budget ranges yield the highest return? +- Who are the top-performing directors and writers? +- What runtime leads to better ratings? +- How can we balance critical acclaim and popularity? + +--- + +## ๐Ÿ“‚ Datasets Used + +We integrated four key datasets: + +- **Box Office Mojo:** Domestic and international gross earnings +- **IMDB (via SQLite):** Ratings, genres, directors, writers +- **The Numbers:** Production budgets and profitability +- **TMDB:** Popularity metrics, vote counts, and language + +--- + +## ๐Ÿง  Methodology + +Following the CRISP-DM process: +1. **Business Understanding** +2. **Data Understanding** +3. **Data Preparation** +4. **Exploratory Data Analysis (EDA)** +5. **Visualization & Insight Generation** +6. **Strategic Recommendation Development** + +--- + +## ๐Ÿ“Š Key Findings + +- ๐ŸŽญ **Top Genres:** War, Musicals, and Animation deliver high ratings and wide appeal +- ๐ŸŽฌ **Bankable Talent:** Directors like *Amitabh Reza Chowdhury* and *Mahesh Manjrekar* consistently receive strong audience ratings +- ๐Ÿ•’ **Ideal Runtime:** 90โ€“150 minutes yields higher ratings and better viewer engagement +- ๐Ÿ’ฐ **Best ROI:** Mid-range budgets ($5Mโ€“$50M) balance risk and profitability + +--- + +## โœ… Final Recommendations + +- Focus on genres with strong critical and global appeal +- Partner with high-performing, reputable directors and writers +- Standardize runtimes between 90โ€“150 mins +- Target mid-range budgets for optimal return + +--- + +## ๐Ÿ’ผ Contributors + +Beth Nyambura, Benson Ouma, Harrison Karime, Rahab Gachie + +--- + +## ๐Ÿ“Ž Note + +This project uses a zipped SQLite database (`im.db.zip`) that is **excluded from the repository** due to size limits. +Please place the zip file in the project root folder before running the notebook. + +--- + +## ๐Ÿ“ Repository Structure + +``` +. +โ”œโ”€โ”€ notebooks/ +โ”‚ โ””โ”€โ”€ final_analysis.ipynb +โ”œโ”€โ”€ data/ +โ”‚ โ””โ”€โ”€ im.db.zip (excluded from Git) +โ”œโ”€โ”€ README.md +โ”œโ”€โ”€ .gitignore +โ””โ”€โ”€ Data_Driven_Movie_Strategy_Presentation.pptx +``` + +--- + +## ๐Ÿ“Š License + +This project is for educational purposes under the Data Science Curriculum (DSC Phase 2). diff --git a/exploratory.ipynb b/exploratory.ipynb new file mode 100644 index 00000000..c73a0c9b --- /dev/null +++ b/exploratory.ipynb @@ -0,0 +1,3548 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploratory Notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import sqlite3 \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Business Question\n", + "1. What are the currrent trends by genres in the Box Office\n", + " What genres perform best? - \n", + "2. What budget ranges for movies are the most profitable - to avoid spending too much, and increase ROI\n", + "3. Which actors and directors/ pull in more audiences\n", + "4. What are the average lengths of films that perform well\n", + "5. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ๐ŸŽฌ Exploratory Data Analysis (EDA): Box Office Movie Insights\n", + "\n", + "## ๐Ÿ“Œ Objective\n", + "Our goal is to explore what types of films are currently performing best at the box office, in order to guide our companyโ€™s new movie studio toward data-driven content creation.\n", + "\n", + "---\n", + "\n", + "## 1. ๐Ÿ—‚๏ธ Data Overview\n", + "\n", + "- Load the dataset\n", + "- Preview the first few rows\n", + "- Check shape, column names, and data types\n", + "- Identify missing values and duplicates\n", + "\n", + "```python\n", + "df.shape\n", + "df.columns\n", + "df.info()\n", + "df.head()\n", + "df.isnull().sum()\n", + "df.duplicated().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "> I will start workin the two data sets that i have already and pick relevant data within that i can start my analysis with " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### BOM Dataset EDA\n", + "Lets us start by first having a look into the Box Office Movies Dataset and see what it looks like. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3387 entries, 0 to 3386\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 title 3387 non-null object \n", + " 1 studio 3382 non-null object \n", + " 2 domestic_gross 3359 non-null float64\n", + " 3 foreign_gross 2037 non-null object \n", + " 4 year 3387 non-null int64 \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 132.4+ KB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " title studio domestic_gross \\\n", + " 0 Toy Story 3 BV 415000000.0 \n", + " 1 Alice in Wonderland (2010) BV 334200000.0 \n", + " 2 Harry Potter and the Deathly Hallows Part 1 WB 296000000.0 \n", + " 3 Inception WB 292600000.0 \n", + " 4 Shrek Forever After P/DW 238700000.0 \n", + " \n", + " foreign_gross year \n", + " 0 652000000 2010 \n", + " 1 691300000 2010 \n", + " 2 664300000 2010 \n", + " 3 535700000 2010 \n", + " 4 513900000 2010 )" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1 = pd.read_csv('zippedData/bom.movie_gross.csv.gz')\n", + "df1.info(), df1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3387 entries, 0 to 3386\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 title 3387 non-null object \n", + " 1 studio 3382 non-null object \n", + " 2 domestic_gross 3359 non-null float64\n", + " 3 foreign_gross 2037 non-null object \n", + " 4 year 3387 non-null int64 \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 132.4+ KB\n", + "None\n", + "Shape of the dataset\n", + "(3387, 5)\n", + "\n", + "The columns on the dataset:\n", + " Index(['title', 'studio', 'domestic_gross', 'foreign_gross', 'year'], dtype='object')\n", + "\n", + "The sum of missing values title 0\n", + "studio 5\n", + "domestic_gross 28\n", + "foreign_gross 1350\n", + "year 0\n", + "dtype: int64\n", + "\n" + ] + } + ], + "source": [ + "# looking into df1\n", + "print(df1.info())\n", + "print(\"Shape of the dataset\")\n", + "print(df1.shape)\n", + "print()\n", + "print(\"The columns on the dataset:\\n\", df1.columns)\n", + "print()\n", + "print(\"The sum of missing values\", df1.isnull().sum())\n", + "print()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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titlestudiodomestic_grossforeign_grossyear
0Toy Story 3BV415000000.06520000002010
1Alice in Wonderland (2010)BV334200000.06913000002010
2Harry Potter and the Deathly Hallows Part 1WB296000000.06643000002010
3InceptionWB292600000.05357000002010
4Shrek Forever AfterP/DW238700000.05139000002010
5The Twilight Saga: EclipseSum.300500000.03980000002010
6Iron Man 2Par.312400000.03115000002010
7TangledBV200800000.03910000002010
8Despicable MeUni.251500000.02916000002010
9How to Train Your DragonP/DW217600000.02773000002010
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" + ], + "text/plain": [ + " title studio domestic_gross \\\n", + "0 Toy Story 3 BV 415000000.0 \n", + "1 Alice in Wonderland (2010) BV 334200000.0 \n", + "2 Harry Potter and the Deathly Hallows Part 1 WB 296000000.0 \n", + "3 Inception WB 292600000.0 \n", + "4 Shrek Forever After P/DW 238700000.0 \n", + "5 The Twilight Saga: Eclipse Sum. 300500000.0 \n", + "6 Iron Man 2 Par. 312400000.0 \n", + "7 Tangled BV 200800000.0 \n", + "8 Despicable Me Uni. 251500000.0 \n", + "9 How to Train Your Dragon P/DW 217600000.0 \n", + "\n", + " foreign_gross year \n", + "0 652000000 2010 \n", + "1 691300000 2010 \n", + "2 664300000 2010 \n", + "3 535700000 2010 \n", + "4 513900000 2010 \n", + "5 398000000 2010 \n", + "6 311500000 2010 \n", + "7 391000000 2010 \n", + "8 291600000 2010 \n", + "9 277300000 2010 " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1.head(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Cleaning: Box Office Movies (BOM)\n", + "\n", + "Before analysis, we first explore and clean the dataset to ensure it's ready for univariate, bivariate, and multivariate analyses.\n", + "\n", + "---\n", + "\n", + "#### Missing Values Summary\n", + "\n", + "| Column | Missing Values |\n", + "|-----------------|----------------|\n", + "| `title` | 0 |\n", + "| `studio` | 5 |\n", + "| `domestic_gross`| 28 |\n", + "| `foreign_gross` | 1350 |\n", + "| `year` | 0 |\n", + "\n", + "---\n", + "#### Cleaning Steps\n", + "\n", + "- `studio`: Fill missing values with `\"Unknown\"` \n", + "- `domestic_gross`: Drop rows with missing values (only 28 rows) \n", + "- `foreign_gross`: Convert from string to numeric (remove commas), then handle missing as needed \n", + "- Add new columns:\n", + " - `worldwide_gross` = domestic + foreign\n", + " - `proportion_foreign` = foreign / worldwide\n", + "- Drop duplicates if any\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Toy Story 3\n", + "1 Alice in Wonderland (2010)\n", + "2 Harry Potter and the Deathly Hallows Part 1\n", + "3 Inception\n", + "4 Shrek Forever After\n", + " ... \n", + "3382 The Quake\n", + "3383 Edward II (2018 re-release)\n", + "3384 El Pacto\n", + "3385 The Swan\n", + "3386 An Actor Prepares\n", + "Name: title, Length: 3387, dtype: object" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df1['title']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ๐ŸŽฌ IMDB Database Analysis\n", + "\n", + "We have an ERD (Entity Relationship Diagram) that shows the schema of our IMDB movie database. This gives us a birdโ€™s eye view of how the data tables are related, helping us make sense of what we are working with and which parts of the database will be most useful in answering business questions.\n", + "\n", + "Below is the ERD for the IMDB dataset:\n", + "\n", + "![IMDB ERD Diagram](movie_data_erd.jpeg) \n", + "\n", + "---\n", + "\n", + "### ๐Ÿงญ Next Steps for Analysis\n", + "\n", + "We will follow a structured process to explore and extract value from the database:\n", + "\n", + "#### ๐Ÿ” 1. **Explore the Tables**\n", + "- Load all tables into Pandas DataFrames\n", + "- Inspect the shape, columns, and sample data from each\n", + "\n", + "#### ๐Ÿงน 2. **Clean the Data**\n", + "- Handle missing values\n", + "- Standardize data types (e.g., dates, numeric fields)\n", + "- Remove duplicates\n", + "- Engineer new features where helpful (e.g., gross revenue, genre flags)\n", + "\n", + "#### ๐Ÿงฑ 3. **Understand Relationships**\n", + "- Identify primary and foreign keys\n", + "- Decide which joins will allow us to combine useful information (e.g., `movie_basics` + `movie_ratings`)\n", + "\n", + "#### ๐Ÿ“Š 4. **Perform EDA**\n", + "- Univariate: Analyze individual features like genres, years, ratings\n", + "- Bivariate: Study relationships like genre vs rating, year vs vote count\n", + "- Multivariate: Combine features to reveal deeper patterns (e.g., genre + year + rating)\n", + "\n", + "#### ๐Ÿ“ˆ 5. **Visualize Insights**\n", + "- Use bar plots, histograms, heatmaps, and scatter plots\n", + "- Highlight patterns and trends that are directly relevant to decision-making\n", + "\n", + "#### ๐Ÿง  6. **Make Business Recommendations**\n", + "- Based on data, suggest what kind of content the company should invest in\n", + "- Consider genre performance, ideal release years, director patterns, etc.\n", + "\n", + "---\n", + "\n", + "Letโ€™s begin by exploring and loading all tables from the database!\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('movie_basics',),\n", + " ('directors',),\n", + " ('known_for',),\n", + " ('movie_akas',),\n", + " ('movie_ratings',),\n", + " ('persons',),\n", + " ('principals',),\n", + " ('writers',)]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# opening im.db file \n", + "\n", + "conn = sqlite3.connect('zippedData/im.db/im.db')\n", + "cursor = conn.cursor()\n", + "\n", + "cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n", + "tables = cursor.fetchall()\n", + "tables" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titleoriginal_titlestart_yearruntime_minutesgenres
121437tt7320786For Our Eyes Only: John GlenFor Our Eyes Only: John Glen2018115.0Documentary
89059tt5149976The Red Rain on the EquatorThe Red Rain on the Equator2010132.0Documentary
54527tt3205010Dragon GuardiansEl corazรณn del roble201373.0Animation
142584tt9389852Prementha Panichese NarayanaPrementha Panichese Narayana2019122.0Drama
139723tt9042328Love is LifeLove is Life2013NaNDrama
34404tt2275505Altered RealityAltered Reality201686.0Comedy,Documentary
90705tt5246780Flight from a ParadiseFlight from a Paradise2012NaNDrama
58131tt3390600Being PoirotBeing Poirot201348.0Documentary
96889tt5652740Doddmane HudgaDoddmane Hudga2016136.0Action,Drama,Family
138971tt8970208Kattu Paya Sir Intha KaaliKattu Paya Sir Intha Kaali2018NaNAction,Crime,Drama
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" + ], + "text/plain": [ + " movie_id primary_title original_title \\\n", + "121437 tt7320786 For Our Eyes Only: John Glen For Our Eyes Only: John Glen \n", + "89059 tt5149976 The Red Rain on the Equator The Red Rain on the Equator \n", + "54527 tt3205010 Dragon Guardians El corazรณn del roble \n", + "142584 tt9389852 Prementha Panichese Narayana Prementha Panichese Narayana \n", + "139723 tt9042328 Love is Life Love is Life \n", + "34404 tt2275505 Altered Reality Altered Reality \n", + "90705 tt5246780 Flight from a Paradise Flight from a Paradise \n", + "58131 tt3390600 Being Poirot Being Poirot \n", + "96889 tt5652740 Doddmane Hudga Doddmane Hudga \n", + "138971 tt8970208 Kattu Paya Sir Intha Kaali Kattu Paya Sir Intha Kaali \n", + "\n", + " start_year runtime_minutes genres \n", + "121437 2018 115.0 Documentary \n", + "89059 2010 132.0 Documentary \n", + "54527 2013 73.0 Animation \n", + "142584 2019 122.0 Drama \n", + "139723 2013 NaN Drama \n", + "34404 2016 86.0 Comedy,Documentary \n", + "90705 2012 NaN Drama \n", + "58131 2013 48.0 Documentary \n", + "96889 2016 136.0 Action,Drama,Family \n", + "138971 2018 NaN Action,Crime,Drama " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Loading movie_basics\n", + "q1 = \"\"\"\n", + "SELECT * \n", + "FROM movie_basics\n", + "\"\"\"\n", + "df_movie_basics = pd.read_sql(q1, conn)\n", + "df_movie_basics.sample(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titleoriginal_titlestart_yearruntime_minutesgenres
0tt0063540SunghurshSunghursh2013175.0Action,Crime,Drama
1tt0066787One Day Before the Rainy SeasonAshad Ka Ek Din2019114.0Biography,Drama
2tt0069049The Other Side of the WindThe Other Side of the Wind2018122.0Drama
3tt0069204Sabse Bada SukhSabse Bada Sukh2018NaNComedy,Drama
4tt0100275The Wandering Soap OperaLa Telenovela Errante201780.0Comedy,Drama,Fantasy
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" + ], + "text/plain": [ + " movie_id primary_title original_title \\\n", + "0 tt0063540 Sunghursh Sunghursh \n", + "1 tt0066787 One Day Before the Rainy Season Ashad Ka Ek Din \n", + "2 tt0069049 The Other Side of the Wind The Other Side of the Wind \n", + "3 tt0069204 Sabse Bada Sukh Sabse Bada Sukh \n", + "4 tt0100275 The Wandering Soap Opera La Telenovela Errante \n", + "\n", + " start_year runtime_minutes genres \n", + "0 2013 175.0 Action,Crime,Drama \n", + "1 2019 114.0 Biography,Drama \n", + "2 2018 122.0 Drama \n", + "3 2018 NaN Comedy,Drama \n", + "4 2017 80.0 Comedy,Drama,Fantasy " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# viewing into the movie_basics dataFrame\n", + "df_movie_basics.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 606648 entries, 0 to 606647\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 person_id 606648 non-null object \n", + " 1 primary_name 606648 non-null object \n", + " 2 birth_year 82736 non-null float64\n", + " 3 death_year 6783 non-null float64\n", + " 4 primary_profession 555308 non-null object \n", + "dtypes: float64(2), object(3)\n", + "memory usage: 23.1+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " person_id primary_name birth_year death_year \\\n", + " 0 nm0061671 Mary Ellen Bauder NaN NaN \n", + " 1 nm0061865 Joseph Bauer NaN NaN \n", + " 2 nm0062070 Bruce Baum NaN NaN \n", + " 3 nm0062195 Axel Baumann NaN NaN \n", + " 4 nm0062798 Pete Baxter NaN NaN \n", + " \n", + " primary_profession \n", + " 0 miscellaneous,production_manager,producer \n", + " 1 composer,music_department,sound_department \n", + " 2 miscellaneous,actor,writer \n", + " 3 camera_department,cinematographer,art_department \n", + " 4 production_designer,art_department,set_decorator )" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Loading the directors tables\n", + "q2 = \"\"\"\n", + "SELECT * \n", + "FROM persons\n", + "\"\"\"\n", + "df_directors = pd.read_sql(q2, conn)\n", + "df_directors.info(), df_directors.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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person_idprimary_namebirth_yeardeath_yearprimary_profession
0nm0061671Mary Ellen BauderNaNNaNmiscellaneous,production_manager,producer
1nm0061865Joseph BauerNaNNaNcomposer,music_department,sound_department
2nm0062070Bruce BaumNaNNaNmiscellaneous,actor,writer
3nm0062195Axel BaumannNaNNaNcamera_department,cinematographer,art_department
4nm0062798Pete BaxterNaNNaNproduction_designer,art_department,set_decorator
\n", + "
" + ], + "text/plain": [ + " person_id primary_name birth_year death_year \\\n", + "0 nm0061671 Mary Ellen Bauder NaN NaN \n", + "1 nm0061865 Joseph Bauer NaN NaN \n", + "2 nm0062070 Bruce Baum NaN NaN \n", + "3 nm0062195 Axel Baumann NaN NaN \n", + "4 nm0062798 Pete Baxter NaN NaN \n", + "\n", + " primary_profession \n", + "0 miscellaneous,production_manager,producer \n", + "1 composer,music_department,sound_department \n", + "2 miscellaneous,actor,writer \n", + "3 camera_department,cinematographer,art_department \n", + "4 production_designer,art_department,set_decorator " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_directors.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1638260 entries, 0 to 1638259\n", + "Data columns (total 2 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 person_id 1638260 non-null object\n", + " 1 movie_id 1638260 non-null object\n", + "dtypes: object(2)\n", + "memory usage: 25.0+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " person_id movie_id\n", + " 0 nm0061671 tt0837562\n", + " 1 nm0061671 tt2398241\n", + " 2 nm0061671 tt0844471\n", + " 3 nm0061671 tt0118553\n", + " 4 nm0061865 tt0896534)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q3 = \"\"\"\n", + "SELECT * \n", + "FROM known_for\n", + "\"\"\"\n", + "df_4 = pd.read_sql(q3, conn)\n", + "df_4.info(), df_4.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 73856 entries, 0 to 73855\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 movie_id 73856 non-null object \n", + " 1 averagerating 73856 non-null float64\n", + " 2 numvotes 73856 non-null int64 \n", + "dtypes: float64(1), int64(1), object(1)\n", + "memory usage: 1.7+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " averagerating numvotes\n", + " count 73856.000000 7.385600e+04\n", + " mean 6.332729 3.523662e+03\n", + " std 1.474978 3.029402e+04\n", + " min 1.000000 5.000000e+00\n", + " 25% 5.500000 1.400000e+01\n", + " 50% 6.500000 4.900000e+01\n", + " 75% 7.400000 2.820000e+02\n", + " max 10.000000 1.841066e+06)" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q4 = \"\"\"\n", + "SELECT * \n", + "FROM movie_ratings\n", + "\"\"\"\n", + "df_5 = pd.read_sql(q4, conn)\n", + "df_5.info(), df_5.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 331703 entries, 0 to 331702\n", + "Data columns (total 8 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 movie_id 331703 non-null object \n", + " 1 ordering 331703 non-null int64 \n", + " 2 title 331703 non-null object \n", + " 3 region 278410 non-null object \n", + " 4 language 41715 non-null object \n", + " 5 types 168447 non-null object \n", + " 6 attributes 14925 non-null object \n", + " 7 is_original_title 331678 non-null float64\n", + "dtypes: float64(1), int64(1), object(6)\n", + "memory usage: 20.2+ MB\n" + ] + } + ], + "source": [ + "q5 = \"\"\"\n", + "SELECT *\n", + "FROM movie_akas\n", + "\"\"\"\n", + "\n", + "df_akas = pd.read_sql(q5, conn)\n", + "\n", + "df_akas.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 73856 entries, 0 to 73855\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 movie_id 73856 non-null object \n", + " 1 averagerating 73856 non-null float64\n", + " 2 numvotes 73856 non-null int64 \n", + "dtypes: float64(1), int64(1), object(1)\n", + "memory usage: 1.7+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "( movie_id averagerating numvotes\n", + " 14933 tt5051322 5.2 6\n", + " 5717 tt7550576 7.6 54\n", + " 20048 tt1935179 7.4 156786\n", + " 26837 tt4714428 7.5 13\n", + " 51454 tt2268016 5.6 48497\n", + " 16626 tt4234744 5.8 76\n", + " 34905 tt1964899 5.4 5\n", + " 46346 tt3037632 3.2 234\n", + " 40109 tt3466816 2.4 271\n", + " 36718 tt2262289 7.9 25,\n", + " None)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q6 = \"\"\"\n", + "SELECT *\n", + "FROM movie_ratings\n", + "\"\"\"\n", + "\n", + "df_ratings = pd.read_sql(q6, conn)\n", + "\n", + "df_ratings.sample(10), df_ratings.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idorderingperson_idcategoryjobcharacters
698750tt60179427nm0143403writerscreenplay byNone
557616tt35423825nm3981229directorNoneNone
610947tt60532683nm8320107directorNoneNone
850453tt64705123nm1208074selfNone[\"Himself\"]
690505tt67307789nm8325523actressNone[\"Virginia\"]
673903tt51259406nm5667794composerNoneNone
444621tt29460505nm4158052directorNoneNone
504059tt25441122nm5390781selfNone[\"Herself\"]
148431tt23008362nm3779250actressNone[\"Chelsea Ray\"]
860498tt66666482nm1466093actorNone[\"Jacek Sokolski\"]
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" + ], + "text/plain": [ + " movie_id ordering person_id category job \\\n", + "698750 tt6017942 7 nm0143403 writer screenplay by \n", + "557616 tt3542382 5 nm3981229 director None \n", + "610947 tt6053268 3 nm8320107 director None \n", + "850453 tt6470512 3 nm1208074 self None \n", + "690505 tt6730778 9 nm8325523 actress None \n", + "673903 tt5125940 6 nm5667794 composer None \n", + "444621 tt2946050 5 nm4158052 director None \n", + "504059 tt2544112 2 nm5390781 self None \n", + "148431 tt2300836 2 nm3779250 actress None \n", + "860498 tt6666648 2 nm1466093 actor None \n", + "\n", + " characters \n", + "698750 None \n", + "557616 None \n", + "610947 None \n", + "850453 [\"Himself\"] \n", + "690505 [\"Virginia\"] \n", + "673903 None \n", + "444621 None \n", + "504059 [\"Herself\"] \n", + "148431 [\"Chelsea Ray\"] \n", + "860498 [\"Jacek Sokolski\"] " + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# principals table \n", + "q7 = \"\"\"\n", + "SELECT *\n", + "FROM principals\n", + "\"\"\"\n", + "\n", + "df_principals = pd.read_sql(q7, conn)\n", + "\n", + "df_principals.sample(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_name
292375tt9531810Sheng di er ji na2010NaNDramaNaNNaNMailisi
237822tt6576200Talent2017NaNComedy6.411.0Lucas Frison
160136tt4231508April Fools2015118.0Comedy6.4311.0Jun'ichi Ishikawa
290111tt9331436Kollontai, apuntes de resistencia2018NaNDocumentaryNaNNaNNicolรกs Mรฉndez Casariego
278409tt8528332The Russian Path201898.0DocumentaryNaNNaNDmitriy Pavlov
31198tt1753433American Ghost Hunter201096.0Documentary4.4255.0Chad Calek
228103tt6243596Celebrity Homeless201769.0DramaNaNNaNGarnel Ambroise
247785tt7059682Grindsploitation 4: Meltsploitation2018146.0Action,Comedy,Horror4.1187.0Katherine King
108033tt3091166Our Footloose Remake201198.0Comedy,Drama,Music7.024.0Sean Lynch
295645tt9834318Ethumai Methumai2011NaNComedyNaNNaNNishantha Weerasingha
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" + ], + "text/plain": [ + " movie_id primary_title start_year \\\n", + "292375 tt9531810 Sheng di er ji na 2010 \n", + "237822 tt6576200 Talent 2017 \n", + "160136 tt4231508 April Fools 2015 \n", + "290111 tt9331436 Kollontai, apuntes de resistencia 2018 \n", + "278409 tt8528332 The Russian Path 2018 \n", + "31198 tt1753433 American Ghost Hunter 2010 \n", + "228103 tt6243596 Celebrity Homeless 2017 \n", + "247785 tt7059682 Grindsploitation 4: Meltsploitation 2018 \n", + "108033 tt3091166 Our Footloose Remake 2011 \n", + "295645 tt9834318 Ethumai Methumai 2011 \n", + "\n", + " runtime_minutes genres averagerating numvotes \\\n", + "292375 NaN Drama NaN NaN \n", + "237822 NaN Comedy 6.4 11.0 \n", + "160136 118.0 Comedy 6.4 311.0 \n", + "290111 NaN Documentary NaN NaN \n", + "278409 98.0 Documentary NaN NaN \n", + "31198 96.0 Documentary 4.4 255.0 \n", + "228103 69.0 Drama NaN NaN \n", + "247785 146.0 Action,Comedy,Horror 4.1 187.0 \n", + "108033 98.0 Comedy,Drama,Music 7.0 24.0 \n", + "295645 NaN Comedy NaN NaN \n", + "\n", + " director_name \n", + "292375 Mailisi \n", + "237822 Lucas Frison \n", + "160136 Jun'ichi Ishikawa \n", + "290111 Nicolรกs Mรฉndez Casariego \n", + "278409 Dmitriy Pavlov \n", + "31198 Chad Calek \n", + "228103 Garnel Ambroise \n", + "247785 Katherine King \n", + "108033 Sean Lynch \n", + "295645 Nishantha Weerasingha " + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# SQL querry to get a meaninful df\n", + "\n", + "# [('movie_basics',),\n", + " # ('directors',),\n", + " # ('known_for',),\n", + " # ('movie_akas',),\n", + " # ('movie_ratings',),\n", + " # ('persons',),\n", + " # ('principals',),\n", + " # ('writers',)]\n", + "\n", + "querry_imdb_1 = \"\"\"\n", + "SELECT\n", + " mb.movie_id,\n", + " mb.primary_title,\n", + " mb.start_year,\n", + " mb.runtime_minutes,\n", + " mb.genres,\n", + " mr.averagerating,\n", + " mr.numvotes,\n", + " p.primary_name AS director_name\n", + "FROM movie_basics mb\n", + "LEFT JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "LEFT JOIN directors d ON mb.movie_id = d.movie_id\n", + "LEFT JOIN persons p ON d.person_id = p.person_id\n", + "\n", + "\"\"\"\n", + "\n", + "# load into main IMDB_df\n", + "\n", + "imdb_df = pd.read_sql(querry_imdb_1, conn)\n", + "\n", + "imdb_df.sample(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 296901 entries, 0 to 296900\n", + "Data columns (total 8 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 movie_id 296901 non-null object \n", + " 1 primary_title 296901 non-null object \n", + " 2 start_year 296901 non-null int64 \n", + " 3 runtime_minutes 241134 non-null float64\n", + " 4 genres 288111 non-null object \n", + " 5 averagerating 182141 non-null float64\n", + " 6 numvotes 182141 non-null float64\n", + " 7 director_name 291171 non-null object \n", + "dtypes: float64(3), int64(1), object(4)\n", + "memory usage: 18.1+ MB\n", + "None\n", + "Shape of the dataset\n", + "(296901, 8)\n", + "\n", + "The columns on the dataset:\n", + " Index(['movie_id', 'primary_title', 'start_year', 'runtime_minutes', 'genres',\n", + " 'averagerating', 'numvotes', 'director_name'],\n", + " dtype='object')\n", + "\n", + "The sum of missing values movie_id 0\n", + "primary_title 0\n", + "start_year 0\n", + "runtime_minutes 55767\n", + "genres 8790\n", + "averagerating 114760\n", + "numvotes 114760\n", + "director_name 5730\n", + "dtype: int64\n", + "\n" + ] + } + ], + "source": [ + "# looking into imdb_df\n", + "print(imdb_df.info())\n", + "print(\"Shape of the dataset\")\n", + "print(imdb_df.shape)\n", + "print()\n", + "print(\"The columns on the dataset:\\n\", imdb_df.columns)\n", + "print()\n", + "print(\"The sum of missing values\", imdb_df.isnull().sum())\n", + "print()" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_namegenre_maindecade
5tt0069049The Other Side of the Wind2018122.0Drama6.94517.0Orson WellesDrama2010
6tt0069049The Other Side of the Wind2018122.0Drama6.94517.0Orson WellesDrama2010
35tt0249516Foodfight!201291.0Action,Animation,Comedy1.98248.0Lawrence KasanoffAction2010
36tt0249516Foodfight!201291.0Action,Animation,Comedy1.98248.0Lawrence KasanoffAction2010
37tt0249516Foodfight!201291.0Action,Animation,Comedy1.98248.0Lawrence KasanoffAction2010
\n", + "
" + ], + "text/plain": [ + " movie_id primary_title start_year runtime_minutes \\\n", + "5 tt0069049 The Other Side of the Wind 2018 122.0 \n", + "6 tt0069049 The Other Side of the Wind 2018 122.0 \n", + "35 tt0249516 Foodfight! 2012 91.0 \n", + "36 tt0249516 Foodfight! 2012 91.0 \n", + "37 tt0249516 Foodfight! 2012 91.0 \n", + "\n", + " genres averagerating numvotes director_name \\\n", + "5 Drama 6.9 4517.0 Orson Welles \n", + "6 Drama 6.9 4517.0 Orson Welles \n", + "35 Action,Animation,Comedy 1.9 8248.0 Lawrence Kasanoff \n", + "36 Action,Animation,Comedy 1.9 8248.0 Lawrence Kasanoff \n", + "37 Action,Animation,Comedy 1.9 8248.0 Lawrence Kasanoff \n", + "\n", + " genre_main decade \n", + "5 Drama 2010 \n", + "6 Drama 2010 \n", + "35 Action 2010 \n", + "36 Action 2010 \n", + "37 Action 2010 " + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# drop rows missing values\n", + "imdb_df_clean = imdb_df.dropna(subset=['runtime_minutes', 'genres', 'director_name'])\n", + "\n", + "# keep movies with votes > 1000\n", + "imdb_df_clean = imdb_df_clean[imdb_df_clean['numvotes'] >= 1000]\n", + "\n", + "# filter out extreme runtimes\n", + "imdb_df_clean = imdb_df_clean[(imdb_df_clean['runtime_minutes'] >= 30) & (imdb_df_clean['runtime_minutes'] <= 240)]\n", + "\n", + "# extract main genre\n", + "imdb_df_clean['genre_main'] = imdb_df_clean['genres'].apply(lambda x: x.split(',')[0] if isinstance(x, str) else x)\n", + "\n", + "# Create a decade column\n", + "imdb_df_clean['decade'] = (imdb_df_clean['start_year'] // 10) * 10\n", + "\n", + "imdb_df_clean.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Univariate Analysis - Distribution based on genre**" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Count')" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Distribution of genres\n", + "imdb_df_clean['genre_main'].value_counts().plot(kind='bar', figsize=(10,5), title='Genre Distribution')\n", + "\n", + "# Histogram of ratings\n", + "imdb_df_clean['averagerating'].hist(bins=20, figsize=(8,5), color='skyblue')\n", + "plt.title('Distribution of IMDB Ratings')\n", + "plt.xlabel('Rating')\n", + "plt.ylabel('Count')\n", + "\n", + "# Runtime distribution\n", + "imdb_df_clean['runtime_minutes'].hist(bins=30, figsize=(8,5))\n", + "plt.title('Distribution of Movie Runtimes')\n", + "plt.xlabel('Runtime (minutes)')\n", + "plt.ylabel('Count')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Count plot\n", + "plt.figure(figsize=(12,5))\n", + "sns.countplot(data=imdb_df_clean, y='genre_main', order=imdb_df_clean['genre_main'].value_counts().index)\n", + "plt.title('Distribution of Main Movie Genres')\n", + "plt.xlabel('Count')\n", + "plt.ylabel('Genre')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_namewriter_name
0tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny Harlin
1tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinDaniel Giat
2tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinSean Hood
3tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinGiulio Steve
4tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny Harlin
..............................
1794474tt9558612PM Narendra Modi2019136.0Biography,Drama3.74057Omung KumarHarsh Limbachiyaa
1794475tt9558612PM Narendra Modi2019136.0Biography,Drama3.74057Omung KumarVivek Oberoi
1794476tt9558612PM Narendra Modi2019136.0Biography,Drama3.74057Omung KumarSsandeep Singh
1794477tt9558612PM Narendra Modi2019136.0Biography,Drama3.74057Omung KumarAnirudh Chawla
1794478tt9558612PM Narendra Modi2019136.0Biography,Drama3.74057Omung KumarHarsh Limbachiyaa
\n", + "

1793979 rows ร— 9 columns

\n", + "
" + ], + "text/plain": [ + " movie_id primary_title start_year runtime_minutes \\\n", + "0 tt1043726 The Legend of Hercules 2014 99.0 \n", + "1 tt1043726 The Legend of Hercules 2014 99.0 \n", + "2 tt1043726 The Legend of Hercules 2014 99.0 \n", + "3 tt1043726 The Legend of Hercules 2014 99.0 \n", + "4 tt1043726 The Legend of Hercules 2014 99.0 \n", + "... ... ... ... ... \n", + "1794474 tt9558612 PM Narendra Modi 2019 136.0 \n", + "1794475 tt9558612 PM Narendra Modi 2019 136.0 \n", + "1794476 tt9558612 PM Narendra Modi 2019 136.0 \n", + "1794477 tt9558612 PM Narendra Modi 2019 136.0 \n", + "1794478 tt9558612 PM Narendra Modi 2019 136.0 \n", + "\n", + " genres averagerating numvotes director_name \\\n", + "0 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "1 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "2 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "3 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "4 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "... ... ... ... ... \n", + "1794474 Biography,Drama 3.7 4057 Omung Kumar \n", + "1794475 Biography,Drama 3.7 4057 Omung Kumar \n", + "1794476 Biography,Drama 3.7 4057 Omung Kumar \n", + "1794477 Biography,Drama 3.7 4057 Omung Kumar \n", + "1794478 Biography,Drama 3.7 4057 Omung Kumar \n", + "\n", + " writer_name \n", + "0 Renny Harlin \n", + "1 Daniel Giat \n", + "2 Sean Hood \n", + "3 Giulio Steve \n", + "4 Renny Harlin \n", + "... ... \n", + "1794474 Harsh Limbachiyaa \n", + "1794475 Vivek Oberoi \n", + "1794476 Ssandeep Singh \n", + "1794477 Anirudh Chawla \n", + "1794478 Harsh Limbachiyaa \n", + "\n", + "[1793979 rows x 9 columns]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "querry_imdb_2 = \"\"\"\n", + "SELECT\n", + " mb.movie_id,\n", + " mb.primary_title,\n", + " mb.start_year,\n", + " mb.runtime_minutes,\n", + " mb.genres,\n", + " mr.averagerating,\n", + " mr.numvotes,\n", + " p_dir.primary_name AS director_name,\n", + " p_writer.primary_name AS writer_name\n", + "FROM movie_basics mb\n", + "LEFT JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "LEFT JOIN directors d ON mb.movie_id = d.movie_id\n", + "LEFT JOIN persons p_dir ON d.person_id = p_dir.person_id\n", + "LEFT JOIN writers AS w ON mb.movie_id = w.movie_id\n", + "LEFT JOIN persons AS p_writer ON w.person_id = p_writer.person_id\n", + "WHERE numvotes >= 1000\n", + "\n", + "\"\"\"\n", + "\n", + "imdb_df2 = pd.read_sql(querry_imdb_2, conn)\n", + "\n", + "imdb_df2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1794479 entries, 0 to 1794478\n", + "Data columns (total 9 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 movie_id object \n", + " 1 primary_title object \n", + " 2 start_year int64 \n", + " 3 runtime_minutes float64\n", + " 4 genres object \n", + " 5 averagerating float64\n", + " 6 numvotes int64 \n", + " 7 director_name object \n", + " 8 writer_name object \n", + "dtypes: float64(2), int64(2), object(5)\n", + "memory usage: 123.2+ MB\n", + "None\n", + "Shape of the dataset\n", + "(1794479, 9)\n", + "\n", + "The columns on the dataset:\n", + " Index(['movie_id', 'primary_title', 'start_year', 'runtime_minutes', 'genres',\n", + " 'averagerating', 'numvotes', 'director_name', 'writer_name'],\n", + " dtype='object')\n", + "\n", + "The sum of missing values movie_id 0\n", + "primary_title 0\n", + "start_year 0\n", + "runtime_minutes 17\n", + "genres 37\n", + "averagerating 0\n", + "numvotes 0\n", + "director_name 2\n", + "writer_name 448\n", + "dtype: int64\n", + "\n" + ] + } + ], + "source": [ + "# looking into imdb_df2\n", + "\n", + "print(imdb_df2.info())\n", + "print(\"Shape of the dataset\")\n", + "print(imdb_df2.shape)\n", + "print()\n", + "print(\"The columns on the dataset:\\n\", imdb_df2.columns)\n", + "print()\n", + "print(\"The sum of missing values\", imdb_df2.isnull().sum())\n", + "print()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_namewriter_namegenre_maindecade
0tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny HarlinAction2010
1tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinDaniel GiatAction2010
2tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinSean HoodAction2010
3tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinGiulio SteveAction2010
4tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny HarlinAction2010
\n", + "
" + ], + "text/plain": [ + " movie_id primary_title start_year runtime_minutes \\\n", + "0 tt1043726 The Legend of Hercules 2014 99.0 \n", + "1 tt1043726 The Legend of Hercules 2014 99.0 \n", + "2 tt1043726 The Legend of Hercules 2014 99.0 \n", + "3 tt1043726 The Legend of Hercules 2014 99.0 \n", + "4 tt1043726 The Legend of Hercules 2014 99.0 \n", + "\n", + " genres averagerating numvotes director_name \\\n", + "0 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "1 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "2 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "3 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "4 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "\n", + " writer_name genre_main decade \n", + "0 Renny Harlin Action 2010 \n", + "1 Daniel Giat Action 2010 \n", + "2 Sean Hood Action 2010 \n", + "3 Giulio Steve Action 2010 \n", + "4 Renny Harlin Action 2010 " + ] + }, + "execution_count": 176, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#CLeaning the imdb_2 df\n", + "\n", + "# drop rows missing values\n", + "imdb_df_clean2 = imdb_df2.dropna(subset=['runtime_minutes', 'genres', 'director_name', 'writer_name'])\n", + "\n", + "# keep movies with votes > 1000\n", + "imdb_df_clean2 = imdb_df_clean2[imdb_df_clean2['numvotes'] >= 1000]\n", + "\n", + "# filter out extreme runtimes\n", + "imdb_df_clean2 = imdb_df_clean2[(imdb_df_clean2['runtime_minutes'] >= 30) & (imdb_df_clean2['runtime_minutes'] <= 240)]\n", + "\n", + "# extract main genre\n", + "imdb_df_clean2['genre_main'] = imdb_df_clean2['genres'].apply(lambda x: x.split(',')[0] if isinstance(x, str) else x)\n", + "\n", + "# Create a decade column\n", + "imdb_df_clean2['decade'] = (imdb_df_clean2['start_year'] // 10) * 10\n", + "\n", + "imdb_df_clean2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 1793938 entries, 0 to 1794478\n", + "Data columns (total 11 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 movie_id object \n", + " 1 primary_title object \n", + " 2 start_year int64 \n", + " 3 runtime_minutes float64\n", + " 4 genres object \n", + " 5 averagerating float64\n", + " 6 numvotes int64 \n", + " 7 director_name object \n", + " 8 writer_name object \n", + " 9 genre_main object \n", + " 10 decade int64 \n", + "dtypes: float64(2), int64(3), object(6)\n", + "memory usage: 164.2+ MB\n", + "None\n", + "Shape of the dataset\n", + "(1793938, 11)\n", + "\n", + "The columns on the dataset:\n", + " Index(['movie_id', 'primary_title', 'start_year', 'runtime_minutes', 'genres',\n", + " 'averagerating', 'numvotes', 'director_name', 'writer_name',\n", + " 'genre_main', 'decade'],\n", + " dtype='object')\n", + "\n", + "The sum of missing values movie_id 0\n", + "primary_title 0\n", + "start_year 0\n", + "runtime_minutes 0\n", + "genres 0\n", + "averagerating 0\n", + "numvotes 0\n", + "director_name 0\n", + "writer_name 0\n", + "genre_main 0\n", + "decade 0\n", + "dtype: int64\n", + "\n" + ] + } + ], + "source": [ + "# Looking into our cleaned imd_df2\n", + "\n", + "\n", + "print(imdb_df_clean2.info())\n", + "print(\"Shape of the dataset\")\n", + "print(imdb_df_clean2.shape)\n", + "print()\n", + "print(\"The columns on the dataset:\\n\", imdb_df_clean2.columns)\n", + "print()\n", + "print(\"The sum of missing values\", imdb_df_clean2.isnull().sum())\n", + "print()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# univariate analysis\n", + "plt.figure(figsize=(12,5))\n", + "sns.countplot(data=imdb_df_clean2, y='genre_main', order=imdb_df_clean2['genre_main'].value_counts().index)\n", + "plt.title('Distribution of Main Movie Genres')\n", + "plt.xlabel('Count')\n", + "plt.ylabel('Genre')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Bivariate Analysis\n", + "\n", + "We examine the relationships between pairs of variables to identify patterns such as:\n", + "\n", + "- Which genres have the highest average ratings?\n", + "- Do longer movies perform better?\n", + "- Does vote count correlate with ratings?" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ploting avaerage rating by genre\n", + "imdb_df_clean2.groupby('genre_main')['averagerating'].mean().sort_values(ascending=False).plot(kind='bar', figsize=(10,5), title='Average Rating by Genre')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 205, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Movie Runtime vs IMDB Rating')" + ] + }, + "execution_count": 205, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Runtime vs Rating\n", + "sns.scatterplot(data=imdb_df_clean2, x='runtime_minutes', y='averagerating')\n", + "plt.title('Movie Runtime vs IMDB Rating')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Multivariate Analysis\n", + "\n", + "Now we bring in multiple variables to see how they interact. For example:\n", + "\n", + "- Do certain genres perform better in specific decades?\n", + "- Are longer dramas rated better than shorter action films?" + ] + }, + { + "cell_type": "code", + "execution_count": 228, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'IMDB Ratings by Genre')" + ] + }, + "execution_count": 228, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Boxplot of ratings by genre\n", + "plt.figure(figsize=(12,6))\n", + "sns.boxplot(data=imdb_df_clean2, x='genre_main', y='averagerating')\n", + "plt.xticks(rotation=45)\n", + "plt.title('IMDB Ratings by Genre')" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Correlation Between Numeric Features')" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Heatmap of correlations\n", + "numeric_cols = imdb_df_clean2[['runtime_minutes', 'averagerating', 'numvotes']]\n", + "sns.heatmap(numeric_cols.corr(), annot=True, cmap='coolwarm')\n", + "plt.title('Correlation Between Numeric Features')" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Average Rating by Genre and Decade')" + ] + }, + "execution_count": 222, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Qqf1Ztb06FZSWFGswoP2RNaDQTJwGb2H7dlvbr3RqJA2WNTCxTr0WXVG5Jk+j5b9azaADxen0Tno+vf567exp2b+2+bvvvjPt1+nmIkMHDtNjdIA3zcjrgGB67bSPsLZVv3Nakq3zhFuDOw0M9XprJl3bpRlyvcb6uep11sAvpjzP90W7Y2jbdXAxrYDQoFBvymhFid64iA6d515vdOm/iW7dutmmDNPMsP2/iWfRYFbLrvU667XTf4/a/1y7iFins4vq9dZKDx1kUKs+rNME6vvU8+nUgTpPut7Y0ynm9Dw6qKBWhOhnrAPn2dNrrd8LraDYvn27qazR962DqdmL7e8DACQoYUYzBwA4UaNGjUKTJ09upuSJiE41lTRpUtvUSTo9T7Zs2cz0PcOGDQv3GJ3e6/PPPw8tVKiQmRIobdq0oaVKlQodPHhwaGBgoG2/8KbbspowYYKZEkiPz58/f+ikSZNs0x7Z07brOdKlSxeaKlWq0CZNmoQePnzY7DdixAiHfS9dumT21fbre/L19Q2tUaNG6I8//vjMa6VTOzVo0CDc5yZPnmxeT9uoDhw4EFqzZk3TngwZMoS++eabtmmyrPuohw8fhr733nuhPj4+Zjox+/cW0ZRhYad80vOFnTIqKtckoinDfvnll9B+/fqFZsyYMTRFihTmvdtPd2Zvy5Yt5hidUi2qdu7caaacyp49e6iHh0eop6dnaNGiRc10WceOHQt3/2bNmpmpv/S7oZ9L8+bNQ1etWhWta/W07+DzfF8WLFhg3of++/L39zf/HiZOnPjE60f0vapSpYpZ7O3Zs8ds03PqlG5Dhw41/06iMmWYddFz6LSADRs2NO3SKb3CE5nrrfS7oZ+jfpd1P50aTa+ddco3Pb9+pjoNm36fKlWqFLpp06Zw36ee66WXXgpNmTKl+fejUxcuW7Ys3KnoIts+AMB/LPp/rg78AQDxm454rn2Lp0+fHmNTKsV3zrwm2odfB7PSknStdAAAAHEXfboBAFGi/cTD0lJoLT/Vgd8So9i+Jlo6rSXLzZo1i/FzAwCAmEWfbgBAlHzxxRem76eOjKzTTOl0Zrpo39Kw05MlFrF1TbTP7IEDB0zfYh10zzowHAAAiLsoLwcARIlOxTV48GAT/OmAVTpFk5Y461RmYed6Tixi65r4+/ubQdZ0EDgd7Eqn2QIAAHEbQTcAAAAAAE5Cn24AAAAAAJyEoBsAAAAAACch6AYAAAAAwEkS54g3AAAAAACnS5G9pVPPf+/MLxLXEXQjQq+vWevqJgAAAAAQkRlVq7i6CYgmgm4AAAAAgFNYLPRoJugGAAAAADiFhWHEuAIAAAAAADgLQXccNnnyZEmTJo2rmwEAAAAA0S4vtzhxiQ/iRyvjkU2bNom7u7s0aNAgSsf5+/vLqFGjHLa1aNFCjhw5EsMtBAAkFCE3bsjJCRNkV88esuPdrrJ/8CC5c+pUpI4NOnZMtr/TWQ4MHeL0dgIAkJjRpzuGTZgwQd577z3z8/z585IlS5ZonytFihRmAQAgrId37sjhL78Qr7z5JM9770sSLy8JvnxJknimfPaxd+/KyUkTxTt/fnlw61astBcAkDhZ4kk22pm4AjEoKChIZs2aJe+8847JdGt5uL2FCxdKmTJlJHny5JIhQwZp2rSp2V61alU5ffq09OjRQywWi1kiKi8fN26c5MqVSzw8PCRfvnwybdo0h+f12PHjx5tzp0yZUvLkySMLFixw+nsHAMSui8uXi0fatOLfrp145swpyTJkEO+ChSSZT8ZnHnvm5+mSrmw58QwIiJW2AgCQmBF0x6DZs2dL/vz5TTDcunVrmThxooSGhprnFi9ebALh+vXry86dO2XVqlVStmxZ89zcuXPFz89PhgwZIhcuXDBLeObNmyfdunWTXr16yb59++Ttt9+W9u3by+rVqx32Gzx4sDRv3lz27NljXq9Vq1Zy/fr1WLgCAIDYErhnt6TMkUOO//C97O7dSw4MGypX1q175nFXN2yQ4KtXJUvDhrHSTgBA4mb5/6Sis5b4gPLyGKQl5Rpsq7p160pgYKCsXbvWZLI//fRTee2110xAbFWsWDHzM126dKYfuJeXl/j6+kZ4/pEjR0q7du2kS5cuZr1nz56yefNms71atWq2/XSfli1bmsefffaZjBkzRrZs2WLaFJ7g4GCz2EuWLNlzXQsAgHMFX7kiV9aulUw1a0nmevVNX+5/Zs0UtyTukr5CxXCPuX/pkpybN1fyffChWNzdY73NAAAkRmS6Y8jhw4dNYGsNdpMkSWIGQtNAXO3atUtq1KjxXK9x8OBBqVSpksM2Xdft9ooWLWp77OnpKd7e3nL58uUIzzt8+HBJnTq1w6LbAABxWGiopMyeXbJqd6Ls2cWncmXJ8MKLcmXtX+Hv/vixnJwwXrI0ekmSZ8oU680FACTmkNPNiUvcR6Y7hmhw/fDhQ4eB07S0XDPG3333XawOiJY0aVKHdS27ePz4cYT79+vXz2TN7Wm722/a7LQ2AgCeT9LUqSV5ZsfBOlNk9pWbO3eEu/+j+/fl7unTcuaff+TMzF/+3ahdoEJDzSjmebp1NwOrAQAQkywMpEbQHRM02J46dap89dVXUrt2bYfnmjRpIr/88ovJPms/bu2DHR4dGO3Ro0dPfZ0CBQrIhg0bpG3btrZtul6wYMHnar8G2JSTA0D84pkrtwRfuvhE+bhHunTh7u+ePLkUHDDQYduVtWvk1qFDkuvtzuKRIYNT2wsAQGJF0B0DFi1aJDdu3JCOHTua0mx7L7/8ssmCf/nll6a8XEce177dGqgvWbJE+vTpY5un+6+//jLPaQCso5uH9cEHH5gB0kqUKCE1a9Y0o6HrIGwrV66MtfcKAIgbMtWsKYc+HyEXliyRtKVLy91TJ+XqunWSvfUbtn20/3bIzZuSs30Hsbi5SYqsWR3OodOMuSVN+sR2AABiioVMdzwpgo/jNKjWIDhswG0Nurdt22YGS/v111/N9F3FixeX6tWrmz7gVjpy+alTp0xQ7uPjE+7raNZ89OjRZuC0QoUKyQ8//CCTJk0yA7UBABIXT39/yfVOF7m+dYscGDxILixeLH7NW0j6cuVs+zwIDJQQZq8AAMClLKHWOa2AMF5fs9bVTQAAAAAgIjOqVpH4KG3uf2decpYbx8ZKXEemGwAAAAAAJ6FPNwAAAADAKSz06SbTDQAAAACAs5DpBgAAAAA4hYVMN0E3AAAAAMA5LATdlJcDAAAAAOAsZLqR4KYlAAAAABA3WMQiiR1BNyJUad56VzcBAAAAgIhsaPqCq5sQrz169EgGDRok06dPl4sXL0qWLFmkXbt20r9/f7FYIr4xsGbNGunZs6fs379fsmXLZvbX46KCoBsAAAAAkKD7dH/++ecybtw4mTJlihQqVEi2bdsm7du3l9SpU8v7778f7jEnT56UBg0aSOfOneXnn3+WVatWSadOnSRz5sxSp06dSL82QTcAAAAAIEHbuHGjNG7c2ATRyt/fX3755RfZsmVLhMd8//33kjNnTvnqq6/MeoECBWT9+vXyzTffRCnojhu3HQAAAAAACTLTbXHiEhwcLLdu3XJYdFtYFStWNJnqI0eOmPXdu3ebALpevXoRtn3Tpk1Ss2ZNh20abOv2qCDo/n9a31+8eHFXNwMAAAAAEEnDhw83JeL2i24Lq2/fvvLaa69J/vz5JWnSpFKiRAnp3r27tGrVKsJza9/vTJkyOWzTdQ3s7927F9kmJuzycr0D8cILL0jdunVl8eLFEtecOnXKlCvs3LmTgB8AEGUZkntIl0L+Ut43rSR3d5OzQfflsx1H5dDNoAiPSepmkfb5s0udbD6SLpmHXLsfIpMO/yOLT1+K1bYDABIHi5P7dPfr188MdGYvWbJkT+w3e/Zs0y97xowZpk/3rl27TNCtA6q1bdvWqW1M0EH3hAkT5L333jM/z58/by5oQhUSEiIeHh6ubgYAIJZ4JXWX7ysXlR1XA6XXxv1yM/iBZEuVQm4/ePjU44aWzS/pkiWV4TuOytk79yV9cg/K3gAATuTm1LNrgB1ekB3WBx98YMt2qyJFisjp06dNVjyioNvX11cuXXK8Ka3r3t7ekiJFiki3McH+ng0KCpJZs2bJO++8YzrLT5482eH5ESNGmNIALy8v6dixo9y/f9/23B9//CHJkyeXmzdvOhzTrVs3qV69um1d+wC8+OKL5oLr8PE66t2dO3dsz2vn/M8++0w6dOhgXid79uzy448/2p7XLLfS0gYdpr5q1apmXX/qXRd7TZo0cRiaXs89dOhQadOmjfnQ33rrrUi1CQCQMLTK6yeX7wWbzPbBG0Fy4W6wbLl8U87d+e/3WVjlMqaR4ulTS6+NB2TblUC5eDdY9l+/LXuv347VtgMAENvu3r0rbm6O4a+7u7s8fvw4wmMqVKhg+oHbW7FihdkeFQk26NbyAa3Xz5cvn7Ru3VomTpwooaGhtue0D7cGxDpUvA75PnbsWNuxNWrUkDRp0sicOXMc5nXTIN5a83/8+HFTtv7yyy/Lnj17zHMa8L777rsO7dCR7kqXLm1KyLt06WJuAhw+fNg8Zx0pb+XKlXLhwgWZO3dulN7jyJEjpVixYubcn3zySaTbBACI/17wTW/KyDVzvah+WZlUrbg08s/09GMy/3tMq7xZZX7dMvJLrVLStbC/eIT5IwQAgPgykFpkNWrUSD799FPT7Vi7+c6bN0++/vpradq0qUOpuiY1rXSqsBMnTsiHH34ohw4dMjGjxpI9evSQqEiwv2W1pFyDbaWBaGBgoKxdu9asjxo1ymS3ddGgfNiwYVKwYEGHOx5adqD1/lZ6h0Mz3xrQKi1D0ABcM9J58uQxo+GNGTNGpk6d6pA1r1+/vgm2c+fOLX369JEMGTLI6tWrzXM+Pj7mZ/r06U3pQrp06aL0HjXr3qtXL8mVK5dZItumsCI74h8AIO7I4plcmuTMLGeD7kmPDftl3skL0qNogNTLnvGpxxRN7y0B3p7S7++DMmbPCamWJYP0Lp4rVtsOAEBs+/bbb+WVV14xsZlO/dW7d295++23TfWwlSZCz5w541CZrEG6Zrc12akJ1fHjx0dpurAE26dbM8maRda7FypJkiTSokULE4hr6fbBgwfNXQt7WiJgDYaVBq/ly5e39QXXTvdapq4ZcOsQ85pN1u1WmknX8gSdRF0/SFW0aFHb81pCrsH15cuXY+R9agbdXmTbFJYG64MHD3bYNnDgQJFijsPjAwDiDjeLyKEbQfLDgdNm/WjgHRNMN8npK0vPXH7KnfZQGbz1sNx5+MisfbvvpAwrm19G7jouIU8psQMAIC4OpBZZ2t1Xk6+6RCRsl2Sl8aNWFj+PBBl0a3D98OFDh4HTNPjUDvbfffddpM5RpkwZkz2eOXOmKQnXAN7+Q9A+43pnRPtMh6V9t610OHp7Gng/rd+A0r4G1lJ4qwcPHjyxn6enp8N6ZNsU2RH/VizZ+tR2AgBcR0cdP3X7rsM2Xa+aJX3ExwSHyJV7IbaA23qMm8UiGVN4mIHVAABAzEpwQbcG21pOran/2rVrPzEY2S+//GIyvn///bdDvf7mzZufOJdmuzVr7OfnZwJhzXRblSxZUg4cOGDKxqPLOtq49he3p2XnWtpgpc/v27dPqlWr9tTzRbdNkR3xDwAQd+y5dkuyp3IcOVXXdXC0px2j5eQp3N3k3qN/bwDriOePQkPl8r0Qp7cZAJD4WBJuj+ZIS3BXYNGiRXLjxg3TX7tw4cIOi/bH1iy4jkKuA6tNmjRJjhw5Ykqp9+/fH27QvWPHDtPhXuv/7QNT7Z+9ceNGM0iZzvF29OhR+f3336M0aFnGjBnNKOPLli0zQ89rv3NrX23tO6CLdtjXTHvYkdTDExNtAgDED7OOnZdC6bykTV4/yeqZXGr5+chL/r4y98R/N207F8wh/Uvlta2v+OeKBIY8lI9K5RV/rxRSLL23dC2c08zRTWk5AADOkeCCbg2qa9asKalTp37iOQ26dbRyzXTraN86Cl2pUqXM/Gwa2IalGeOyZcuaftLWUcuttK+2DsymQbtO0aXTfg0YMCBKc4FrX3Md6OyHH34wxzVu3Nhs1ynGdK44zcRXqVJFAgICnpnljqk2AQDiBx2FXAdDq+nnI9NqlJR2+bPJ6L0n5I+zV2z76BzcmVL8d8NYs9vdN+wzc3xPqFpcBpbOJxsuXJdvdp9w0bsAACR0ljgyerkrWULDdh4G/l+leetd3QQAAAAAIrKh6QsSH2UrOsSp5/9nzwCJ6+LHrQEAAAAAAOKhBDeQGgAAAAAgbrDEkxJwZ+IKAAAAAADgJGS6AQAAAABOYSHPyxUAAAAAAMBZyHQDAAAAAJzCQp9ugm4kvGkJAAAAACCuIOhGhLKPXuvqJgAAAAAQkTPdqkh8ZCHTTdANAAAAAHAOC8OIcQUAAAAAAHAWMt0AAAAAAOewkOflCjzFoEGDpHjx4i57fYvFIvPnz3fZ6wMAAAAAnk+Cz3Rv2rRJXnjhBalbt64sXrw4Ssf27t1b3nvvPYmN4F6D6127djlsv3DhgqRNm9bprw8ASFg2tC8n2byTP7F9yu5z8smaYy5pEwAgcbKQ6U74QfeECRNM4Kw/z58/L1myZIn0salSpTKLq/j6+rrstQEA8VejmTvE3fLfer70njKjWTFZfPSKK5sFAECilKBvOwQFBcmsWbPknXfekQYNGsjkyZNtz61Zs8aUb69atUpKly4tKVOmlIoVK8rhw4cjLC9v166dNGnSRD777DPJlCmTpEmTRoYMGSIPHz6UDz74QNKlSyd+fn4yadIkh3b06dNH8ubNa14jICBAPvnkE3nw4IF5Tts0ePBg2b17t2mPLtZ2hi0v37t3r1SvXl1SpEgh6dOnl7feesu8x7DtGzlypGTOnNns07VrV9trAQASh+v3HsiVu/8tNXKml1M378nmc4GubhoAIJGx/H+M46wlPkjQQffs2bMlf/78ki9fPmndurVMnDhRQkNDHfb5+OOP5auvvpJt27ZJkiRJpEOHDk89559//mky5n/99Zd8/fXXMnDgQGnYsKEpA//777+lc+fO8vbbb8vZs2dtx3h5eZlA+sCBAzJ69Gj56aef5JtvvjHPtWjRQnr16iWFChUy5eS66Law7ty5I3Xq1DGvs3XrVvn1119l5cqV8u677zrst3r1ajl+/Lj5OWXKFPO69jcbAACJS1I3izTNn0lmHbjo6qYAAJAoJeigW0vKNdhW2qc7MDBQ1q5d67DPp59+KlWqVJGCBQtK3759ZePGjXL//v0Iz6nZ7DFjxphAXgN0/Xn37l356KOPJE+ePNKvXz/x8PCQ9evX247p37+/yaL7+/tLo0aNTF9xvSGgNGutJewa8Gs5uS66LawZM2aYdk2dOlUKFy5sMt7fffedTJs2TS5dumTbT4Ny3a43G/RmgGb4NZv/NMHBwXLr1i2HRbcBAOK/OrkyiHeyJPIbQTcAwEXzdFucuMQH8aOV0aBl4lu2bJGWLVuadQ1qNYOsgbi9okWL2h5rSba6fPlyhOfVjLSb23+XTcvMixQpYlt3d3c3Zd3259AS90qVKpmAWgNsDcLPnDkTpfdz8OBBKVasmHh6etq26TkfP37sUBKv7dM22L+np70fNXz4cEmdOrXDotsAAPFfi0K+subUdbl0J8TVTQEAJNKB1CxOXOKD+NHKaNDgWvta68BpGnDrMm7cOJkzZ47JeFslTZrU9tjaJ0AD2YjY7289Jrxt1nPo6OmtWrWS+vXry6JFi2Tnzp2mpD0kxDl//DytLRHR7LxeE/tFtwEA4resXsnkhWxp5Zf9F1zdFAAAEq0EOXq5Bttahq19tWvXru3wnA409ssvv5jy69ig5eo5cuQwgbbV6dOnHfbRcvRHjx499TwFChQwfbO1b7c1271hwwaTddcS9+eRLFkyswAAEpbmBX3l2r0Q+fPkNVc3BQCQWFnix2BnzpQgM92aUb5x44Z07NjR9H+2X15++eUnSsydSft5ayn5zJkzzQBn2h983rx5DvtoX++TJ0+aebqvXr0abn9qzZYnT55c2rZtK/v27TMDpelUaG+88YYpcQcAwJ7+ifNqQV/57eAleeQ4higAAIhFCTLo1qC6Zs2apm9yWBp060jle/bsiZW2vPTSS9KjRw8zyrhOP6aZb50yLGybdKC3atWqiY+Pj8nEh6XTjS1fvlyuX78uZcqUkVdeeUVq1KhhBk0DACCsF7KnFT/v5DJrPwOoAQBcHHG6OXGJByyhYefQAv5f9tGOI70DAAAAcI0z3apIfJS3/Finnv/I5i4S1yXIPt0AAAAAgDjAQp/ueJKQBwAAAAAg/iHTDQAAAABwDguZboJuAAAAAIBzuLm6Aa7HJQAAAAAAwEnIdAMAAAAAnCKU8nKCbiS8aQkAAAAAIK4g6MZTHHF1AwAAAAAYeSVesri6Aa5Hn24AAAAAAJyETDcAAAAAwDncSHWT6QYAAAAAwEkSbdB96tQpsVgssmvXLokv2rVrJ02aNHF1MwAAAAAgciwW5y7xQIINujVA1aDauqRPn17q1q0re/bsMc9ny5ZNLly4IIULF3Z1UwEAeG4//vir5MvXSD799KcI93nw4KF8990vUrPmm1KkSDN56aX35K+/tsdqOwEASGwSbNCtNMjWwFqXVatWSZIkSaRhw4bmOXd3d/H19TXbnCkkJMSp5wcAYM+eIzJz5jLJl8//qfuNGjVdZs1aJp988rYsWTJWXnutnrz77mdy4MDxWGsrACCRsTh5iQcSdNCdLFkyE1jrUrx4cenbt6/8888/cuXKlXDLy9euXStly5Y1x2XOnNns//DhQ9vzt2/fllatWomnp6d5/ptvvpGqVatK9+7dbfv4+/vL0KFDpU2bNuLt7S1vvfWW2d6nTx/JmzevpEyZUgICAuSTTz6RBw8e2I4bNGiQaeMPP/xgsvC6X/PmzSUwMPCJ9zVy5Ejz+pq979q1q+08Q4YMCTdzr+fV1wMAJDx37tyTDz74SoYNe09Sp0711H1//321dO7cXKpUKS3ZsvnK66/XlypVSsnEifNjrb0AgEQ4kJqbE5d4IEEH3faCgoJk+vTpkjt3bhOshnXu3DmpX7++lClTRnbv3i3jxo2TCRMmyLBhw2z79OzZUzZs2CALFiyQFStWyLp162THjh3hBsXFihWTnTt32oJdLy8vmTx5shw4cEBGjx4tP/30kwna7R07dkxmz54tCxculGXLlpnju3Tp4rDP6tWr5fjx4+bnlClTzDl1UR06dJCDBw/K1q1bbfvrObSkvn379jFwFQEAcc2QId+bILpixeLP3Fdv0np4JHXYpjead+w44MQWAgCQuCXoKcMWLVokqVL9e9f/zp07Jjus29zcnrzXMHbsWJNh/u6770wGPH/+/HL+/HmToR4wYIA5XoPcGTNmSI0aNcwxkyZNkixZsjxxrurVq0uvXr0ctvXv398hG967d2+ZOXOmfPjhh7bt9+/fl6lTp0rWrFnN+rfffisNGjSQr776ymTrVdq0aU0btTxe26jPa+n8m2++KX5+flKnTh3TLr15YG1jlSpVTHYdAJCwLF78lykN/+23ryO1/wsvlJDJk+dLmTKFJXt2X9m0abesWLFRHj167PS2AgASKUv8yEY7U4LOdFerVs2Uj+uyZcsWE5DWq1dPTp8+/cS+miGuUKGCCbitKlWqZDLkZ8+elRMnTpgMgZafW6VOnVry5cv3xLlKly79xLZZs2aZ82nwrDcCNAg/c+aMwz7Zs2e3BdxK2/P48WM5fPiwbVuhQoVMwG2lNxIuX75sW9fg+5dffjEBvPYn15sEmgF/muDgYLl165bDotsAAHHXhQtXzKBpX37ZS5Il84jUMR9//JbkyJFF6tV7RwoXbipDhvwgzZrVDPdmNAAAiBkJ+res9r3WcnJdNPM7fvx4k7HW0m5nv669TZs2mb7gWr6umXYt+f7444+jNcha0qSOZYF6k0ADc6tGjRqZUsF58+aZMnW9UfDKK6889ZzDhw83NxDsF90GAIi79u8/Jteu3ZRmzbpLwYKNzbJlyz6ZNm2hefzo0aMnjkmXLrWMHdtfdu36VVavnijLlo2TlClTSLZsmVzyHgAAiYCFgdQSdHl5WBqg6t38e/fuPfFcgQIFZM6cORIaGmrLdmv/be2LrWXbWtatAa/2l9aMtNJBzo4cOSKVK1d+6utu3LhRcuTIYQJtq/Cy7Zr51pJ2a8n65s2bTXvDy6ZHREdjb9u2rSkr9/DwkNdee01SpEjx1GP69etn+qvb08Bd5Mk2AgDihvLli8nChd85bOvXb5QEBPjJm2++4lAVFZZmxjNlSm+mEPvjj41Sr94LsdBiAAASpwQddGuJ9MWLF83jGzdumL7QWi6u2eCwdMCyUaNGyXvvvSfvvvuuKekeOHCgCUY18NXgW4PZDz74QNKlSycZM2Y0z+tz9iXp4cmTJ48JqLUPt2bcFy9ebDLRYSVPnty8hg7EpiXe77//vhnB3NqfO7I6depkbiJYbxw8iwbY/wbZAID4IlWqlJI3bw6HbSlTJpc0abxt2z/88GsTXPfq1das7959WC5duiYFCgSYn99+O8NUS3Xq1Mwl7wEAkAi4xZN0tBMl6KBbRwDXPs9Kg2YdeOzXX38103zplGH2tC/1kiVLTFCtI49rYN2xY0eHAdC+/vpr6dy5s5nrW6cD00HQdAoyDZaf5qWXXpIePXqYYF5vBOjgZzqquU4TZk/L4Js1a2bK0K9fv25eRwd4iyoN8itWrGjOUa5cuSgfDwBIOP2+3ez+2AkODjFzdf/zz0UToOuo51980VO8vZ8+1RgAAIg+S6jWUyNatH+4Bus6urgG6M9DA/D58+c7zBseXfqRauCt2fuwZeNRc+S52wIAAAAgJuSV+ChPvYlOPf/RpU8fNDouSNCZ7pimA6AdOnTIjGCu/bmHDBlitjdu3FjiiitXrpgydi2rZ25uAAAAAK4UypRhBN1Rpf2ttb+3DlJWqlQpWbdunWTIkEHiCu1rru358ccfzeBvAAAAAADXobwcT0F5OQAAABA3xM/y8twNJzv1/McWtZO4LkHP0w0AAAAAgCtRXg4AAAAAcA6LqxvgemS6AQAAAABwEjLdSHD9RgAAAADEERZS3QTdiFBgyHJXNwEAAACAiKT2qOPqJiCaKC8HAAAAADiHm8W5SyT5+/uLxWJ5YunatWu4+0+ePPmJfZMnTx6tS0CmGwAAAADgHBaJE7Zu3SqPHj2yre/bt09q1aolr776aoTHeHt7y+HDh23rGnhHB0E3AAAAACBeCg4ONou9ZMmSmcWej4+Pw/qIESMkV65cUqVKlQjPrUG2r6/vc7eR8vIEYNCgQVK8eHFXNwMAAAAAHFksTl2GDx8uqVOndlh029OEhITI9OnTpUOHDk/NXgcFBUmOHDkkW7Zs0rhxY9m/f3+0LgGZ7ghcvHhRPv30U1m8eLGcO3dOMmbMaALb7t27S40aNVzdPABAIvfj2CUyftwyh205/DPKrwv7h7v//N82yuKFW+TE0QtmPX/BbNKlWyMpVCRHrLQXAABn6Nevn/Ts2dNhW9gsd1jz58+XmzdvSrt27SLcJ1++fDJx4kQpWrSoBAYGysiRI6VixYom8Pbz84tSGwm6w3Hq1CmpVKmSpEmTRr788kspUqSIPHjwQJYvX2462h86dMjVTQQAQAJyZ5bvfvpvAJgk7hEXsG3felTq1CslRfvlFA+PpDJ14kp57+2xMnNeP8mYKU0stRgAkOhYnNupO7xS8meZMGGC1KtXT7JkyRLhPhUqVDCLlQbcBQoUkB9++EGGDh0apdejvDwcXbp0MWUGW7ZskZdfflny5s0rhQoVMndQNm/ebPY5c+aMKTFIlSqV6WDfvHlzuXTp0hMl33p3JHv27GY/Pa923v/iiy9M3wDNnms23Z7ecenUqZPpc6DnrV69uuzevfuJ/geZMmUSLy8v6dixo9y/f9/23F9//SVJkyY1mXp7mqF/8cUXnXTFAACu4O7uJhkyeNuWNGlTRbjv0M/byiuvvSh58/uJf0Am+XhwSwl9/Fi2/n0kVtsMAIArnT59WlauXGlirqjQGKtEiRJy7NixKL8mQXcY169fl2XLlpmMtqen5xPPa/b78ePHJuDWfdeuXSsrVqyQEydOSIsWLRz2PX78uCxdutSc75dffjF3VBo0aCBnz541x33++efSv39/+fvvv23H6Oh5ly9fNsdt375dSpYsacrZ9bXU7NmzTUD/2WefybZt2yRz5swyduxY2/GVK1eWgIAAmTZtmm2bZul//vln02cBAJBw/HPmitSv3l+a1B0sn/SZIhcv/Pu7IjLu3w+Rhw8fi3fqlE5tIwAgkXNz8hJFkyZNMslPjcuiQpOne/fuNfFXVFFeHobeuQgNDZX8+fNHuM+qVavMBT958qTpVK+mTp1qsuE6FH2ZMmXMNg3ONdOtGemCBQtKtWrVzJDzS5YsETc3N9NPQAPv1atXS7ly5WT9+vUmu65Bt7VEQvsOaJ+D3377Td566y0ZNWqUyW7rooYNG2bu1Nhnu/U5/TJ98MEHZn3hwoXmec3GAwAShsJF/GXA0FamH/fVq7dk/Lil8lbb0fLLvH7i6fnseUS/+2aBZPDxlrLl88VKewEAcDWNzzROatu2rSRJ4hgKt2nTRrJmzWobhG3IkCFSvnx5yZ07t6lG1m7HmiWPaoZckekOQwPuZzl48KAJtq0Bt9KgWrPg+pz9BOwacFtpSbjupwG3/TYNspWWkesIeenTpzfl6NZFg3vNmltfWwN0e/Z9DZQOCKA3D6yl8Dqxuwbc4WXulQ6xf+vWLYcl7LD7AIC4peKLBaVmnRKSJ19WqVCpgIwa21lu374nK5fvfOaxU8avkBVLd8gXozpJsmRJY6W9AIBEyuLc0cujQpOV2k04vApg3X7hwr+DjaobN27Im2++afpx169f38RIGzduNPFcVJHpDiNPnjymP3dMDJamdf/29LzhbdM7LkoDbi1XWLNmzRPn0oA+srRcolGjRuYuTs6cOU2penjntNK7OYMHD3bYNnDgQOnxkWMwDwCIu7y8U0r2HBnl7JkrT91v+uRVMmXiSjMAmwbsAAA4lUXijNq1a0eYZA0bL33zzTdmiQlkusNIly6d1KlTR/73v//JnTt3nnheSwv0bsc///xjFqsDBw6Y56Jz58NK+2/rAGha6qBlDPZLhgwZzD762vZ9wJU1o21Pyx5mzZolP/74o5n0XUdjf9ow+zoMvv2i2wAA8cfdu8Fy7p+rksEndYT76IjlE35YLqPHdZaChbLHavsAAEisCLrDoQG3dpQvW7aszJkzR44ePWrKuseMGWNKuWvWrGmmEWvVqpXs2LHD9MPWPgBVqlSR0qVLR/t19bx6/iZNmsgff/xhpi7TEoaPP/7YDJqmunXrZvqJaxb7yJEjJiMd3iTteuNARz/XPt/t27d/6utq/3Hd136J6rD7AIDYNXrkfNmx9aicP3dN9uw6IR92Gy9u7hapXa+keX7gR9Pkf6MW2PafMmGF/PDdYvlkyOuSOWt60w9cFw3WAQBwllA3i1OX+IDy8nDo6N8aTOt0Xr169TK1/TqFV6lSpWTcuHGmJPz333+X9957z4wWrn2069atK99+++1zva6eVwdZ0yBbA+UrV66YqcX0NbTvt9IR0rV/94cffmgGR9Mpzd555x0zh7g9bZP27dZRzvWGAAAgYbl86ab07zNFAm/ekbRpU0mxkrlk4s89JW26f8cSuXThhrjZ9XWbO3uDPHjwSPr2nOhwnk7v1JW3utSP9fYDAJBYWEIjM3IY4iUdxVwD9wUL/st0REVgiGMgDwAAAMA1UnvUkfgo1+u/OPX8x2e0lLiOTHcCpH2ydUqzGTNmRDvgBgAAAAA8P4LuBKhx48amn3nnzp2lVq1arm4OAAAAgMTK4uoGuB5BdwL0tOnBAAAAAACxh6AbAAAAAOAcbqS6CboBAAAAAM5hIehmnm4AAAAAAJyETDcS3LQEAAAAAOIIi6sb4HoE3YhQrWUbXN0EAAAAACKyom4lVzcB0UTQDQAAAABwDjdS3fTpBgAAAADASch0AwAAAACcw41MN5nuOGTNmjVisVjk5s2brm4KAAAAACAGkOl2kosXL8qnn34qixcvlnPnzknGjBmlePHi0r17d6lRo0a4x1SsWFEuXLggqVOnjvX2AgDin/TJPKRTvhxSNkNaSebuJufv3peRe4/JkVtB4e5fNJ23fFW2yBPbm/+5RW6EPIiFFgMAEptQEt0E3c5w6tQpqVSpkqRJk0a+/PJLKVKkiDx48ECWL18uXbt2lUOHDj1xjD7v4eEhvr6+LmkzACB+SZXEXUaVLyK7rwXKR9sPSGDIA8maMoXcfvDwmce2+2u73H34yLZ+k4AbAOAsbkTdlJc7QZcuXUyZ+JYtW+Tll1+WvHnzSqFChaRnz56yefNms48+P27cOHnppZfE09PTZMXDlpdPnjzZBO6LFi2SfPnyScqUKeWVV16Ru3fvypQpU8Tf31/Spk0r77//vjx69N8fT8HBwdK7d2/JmjWrOXe5cuXMuQEACUeLAD+5ci9YRu47JocDg+TivWDZfu2mXLh3/5nHapB9w24JjZUWAwCQOJHpjmHXr1+XZcuWmSBaA96wNIi2GjRokIwYMUJGjRolSZIkkRMnTjyxvwbYY8aMkZkzZ8rt27elWbNm0rRpU3OeJUuWmGM0sNfMeosWLcwx7777rhw4cMAckyVLFpk3b57UrVtX9u7dK3ny5HHyFQAAxIYKGdPJtqs35ZPi+aRIWm+5FhwiC85clKVnLz3z2O8rFZekFjc5FXRXph07I/tv3o6VNgMAEiELmW6C7hh27NgxCQ0Nlfz58z9z39dff13at29vWw8v6Nayc82I58qVy6xrpnvatGly6dIlSZUqlRQsWFCqVasmq1evNkH3mTNnZNKkSeanBtxKs956I0C3f/bZZzH6fgEArpE5RXJplM1X5pw6JzOOn5V8qVNJ1wI55eHjx7Li/JVwj7ke/EBG7T8mRwKDJKmbm9TzyyQjyxaW9zbvkWO37sT6ewAAIDEg6I5hGnBHVunSpZ+5j5aUWwNulSlTJlNWrgG3/bbLly+bx5rN1lJzLWm3pyXn6dOnD/c19Dld7CVLlizS7wMA4JrEgQbPE4+eMevHb98Rf6+U0jC7b4RB99k798xideDmbcmSMrm8nCOLfL73aKy1HQCQiLiR6SbojmFavq39ssMbLC2s8MrPw0qaNKnDup47vG2PHz82j4OCgsTd3V22b99uftqzD9TtDR8+XAYPHuywbeDAgSLlaz2zfQAA17geHCJngv4LoJWuv5gp/BusETkUGCSF03rFcOsAAIAVA6nFsHTp0kmdOnXkf//7n9y582SpnrPn4C5RooTJdGvmO3fu3A5LRCOj9+vXTwIDAx0W3QYAiLv237gtfp7JHbb5eaaQS/ccK5eeJZeXp1y/z+jlAAAnRpxuTlzigXjSzPhFA24NfMuWLStz5syRo0ePysGDB82AaBUqVHDqa2tZeatWraRNmzYyd+5cOXnypBlFXbPZOmd4eLSU3Nvb22GhvBwA4rY5p85LgTRe0jLAz5SIV8ucQer7ZTKDqVl1yJtDPizy3wCaTXNkNgOw6f7+qVLKO/lzSvH0qWXBmQsuehcAACR8lJc7QUBAgOzYscOMYN6rVy+5cOGC+Pj4SKlSpcygaM6mA6YNGzbMvPa5c+ckQ4YMUr58eWnYsKHTXxsAEDuO3AqSQTsPSce8OaR1rmxy8d59GXfopPx54b/+3OmTJZWMKf67iaqDp72dz18yJPeQ4EeP5cTtu9Jn637ZfT3QRe8CAJDgWejTbQmNyshfSFRqLdvg6iYAAAAAEJEVdStJfBTw/nynnv/EmCYS11FeDgAAAACAk1BeDgAAAABwilDKy8l0AwAAAADgLGS6AQAAAADO4ebqBrgelwAAAAAAACch0w0AAAAAcA43+nQTdCPBTUsAAAAAAHEFQTciVHTaOlc3AQAAAICI7HnjRYmXLGS6CboBAAAAAM7hRtDNQGoAAAAAADgJmW4AAAAAgHNYXN0A1yPTDQAAAABAQgy627VrJxaLxSxJkyaVTJkySa1atWTixIny+PFjSQwmT54sadKkcXUzAADxUMYUHvJZpXzyV/PysqVlRZnTsKQUTJfqqcfUz+kjvzYoIX+3rCirXi4ngyvkkdQeFL4BAJwj1M3i1CU+cHmmu27dunLhwgU5deqULF26VKpVqybdunWThg0bysOHD13dvHgjNDSU6wUAiYiXRxKZUreYPHz8WLqs2idNF26XkdtPyK2QiH8XFPfxlk8r5pN5xy9Js4XbpfdfB6VIBi8ZWCFPrLYdAIDExOVBd7JkycTX11eyZs0qJUuWlI8++kh+//13E4BrFlidOXNGGjduLKlSpRJvb29p3ry5XLp0yeE8CxculDJlykjy5MklQ4YM0rRpU9tzmkmfP3++w/6aXbaeXwN+3Wf27Nny4osvSooUKcy5jhw5Ilu3bpXSpUub165Xr55cuXLF4Tzjx4+XAgUKmNfNnz+/jB071vac9bxz5841NxNSpkwpxYoVk02bNpnn16xZI+3bt5fAwEBbxn/QoEHmuWnTppnX9fLyMtfn9ddfl8uXL9vOrcfq/nqdSpUqZa7j9OnTxc3NTbZt2+bQxlGjRkmOHDkSTfUAACQGHQr5yaU7wTJg01HZdy1IzgUFy6YLN+Vs0P0Ijynm4yXn79yXGYfOm/13Xrklvx65KEXSe8Vq2wEAiYibxblLPODyoDs81atXN8GpBqsaKGrAff36dVm7dq2sWLFCTpw4IS1atLDtv3jxYhNk169fX3bu3CmrVq2SsmXLRvl1Bw4cKP3795cdO3ZIkiRJTKD74YcfyujRo2XdunVy7NgxGTBggG3/n3/+2ax/+umncvDgQfnss8/kk08+kSlTpjic9+OPP5bevXvLrl27JG/evNKyZUuTla5YsaIJiPVGgmb7ddH91IMHD2To0KGye/duc8NAA3gtxw+rb9++MmLECPP6L730ktSsWVMmTZrksI+u67EakAMAEoaqfull//UgGVk5v6x5tZzMalBCXs7t+9Rjdl+5Lb4pk8kLWdKa9XTJk0qtHBlk3fnrsdRqAAASnzjbiUuzxnv27DEB9N69e+XkyZOSLVs289zUqVOlUKFCJgutGWkNel977TUZPHiw7XgN2qNKA946deqYx1rirsGxvn6lSpXMto4dO9qy49Yg/auvvpJmzZqZ9Zw5c8qBAwfkhx9+kLZt2zqct0GDBuaxtlHbrgG8vsfUqVObjLVms+116NDB9jggIEDGjBlj3mtQUJDJulsNGTLE9IO36tSpk3Tu3Fm+/vprk/3WGwh6/bR6AACQcPh5JZfmXpll2oGzMn7vP1Iog5f0KRMgDx4/lgUn/quMsrfryi3pu/6wfFk5v3i4u0lSNzdZ8881+ezv47HefgBAImGJH9loZ3KLy32UNRjVDK4G29aAWxUsWNCUh+tzSjPINWrUeO7XLFq0qO2xDuqmihQp4rDNWuJ9584dOX78uAnENQi2LsOGDTPbIzpv5syZzU/7UvHwbN++XRo1aiTZs2c3JeZVqlSxldrb0xJ0e02aNBF3d3eZN2+eWdebBFra7u/vH+FrBQcHy61btxwW3QYAiNu/wA9eC5Ixu07LoRt3ZM7RizLn2EV5Ne+/v2fCE5A6pQnMf9hzRl5bvFM6r9wrWVIll/7lc8dq2wEASEzibNCtAbVmjiND+2A/jQbvGsTb0/LtsHQEdftjwttm7RetGWf1008/maDfuuzbt082b978zPM+rX+1BvSacdeycy1h14y+NYgOCQlx2NfT09Nh3cPDQ9q0aWNKynXfGTNmOGTNwzN8+HCTcbdfdBsAIO66ci9ETgTeddh2MvCe+Homi/CYjoX9TLZ78oFzcvTmXdl44aZ8+vcxaZbbVzKk+O93FQAAMRpxujlxiQfiZHn5n3/+aUqie/ToIX5+fvLPP/+YxZrt1hLumzdvmoy3NZOsZeA6KFl4fHx8TH9pq6NHj8rdu45/qESVZr2zZMli+pe3atUq2ufRIPnRo0cO2w4dOiTXrl0zfbWt7zns4GhPoyXmhQsXNoO6ad9xa/l7RPr16yc9e/Z02Kal6XNnb4nSewEAxB4Nnv29HW865/BOIReCIq5USuHuLg/D3IR+9P/rFqH8DwDgBBZ+v7g86NYy5osXL5rAU0ckX7Zsmcmy6pRhmrHVwb+0xFsDWx10TIPILl26mHJra2m19q3W8vJcuXKZvt26z5IlS6RPnz62gdm+++47qVChgnkd3W6ffY4u7Z/9/vvvm8ywTn2m70WD4xs3bjwRxEZEy741a643DbQfuo5wriXlGox/++23pn+2Zs91ULXI0tHUy5cvb96nZrmfVQmgAbYuAID4Y9rBczK1bjHpVDibLD99xYxA/koeXxm8+ahtn/dL+EumFB7y8cYjZn3N2WtmerDmeTPLhvM3xCeFh3xYOkD2Xr1lMucAACDmuTwhr0G29nPW4FMD19WrV5tBw3TgL+2brOXY+jht2rRSuXJlMzq3Diw2a9Ys2zmqVq0qv/76qyxYsECKFy9uguwtW/7L0upgZ5ox1unAdERyHdhMg9vnpRllnTJMS7n1xoDeCNA+1JEti1c6grkG1joau2bkv/jiC/NTz6PvSbP5mvEeOXJklNqmfc21vPxZpeUAgPhp/7Ug6bHmoNTz95G5jUrJW0WzyxdbT8iSk/9NbalBtX25uQ6wNnLbSXktX2aZ26ikGfn81K175jwAADiFG1OGWULDdnZGgqCZcQ3adQT46Co6bV2MtgkAAABA9Ox540WJj/wHL3fq+U8N/Hf2qbjM5eXliFlaqq5zems5vY6kDgAAAAAu4xY/stEJurwcMevdd9+VUqVKmZJ7SssBAAAAwLXIdCcw2hdcFwAAAABwtVBGLyfTDQAAAACAs5DpBgAAAAA4h5urG+B6BN0AAAAAAOewUF5O0I0ENy0BAAAAAMQVBN2I0Fd7V7i6CQAAAABEpFeRWhIvuZHppsIeAAAAAJCg+fv7i8VieWLp2rVrhMf8+uuvkj9/fkmePLkUKVJElixZEq3XJugGAAAAADgv0+3mxCWStm7dKhcuXLAtK1b8W9X76quvhrv/xo0bpWXLltKxY0fZuXOnNGnSxCz79u2L+iWI8hEAAAAAAMQjPj4+4uvra1sWLVokuXLlkipVqoS7/+jRo6Vu3brywQcfSIECBWTo0KFSsmRJ+e6776L82gTdAAAAAADnsDh3CQ4Ollu3bjksuu1pQkJCZPr06dKhQwdTYh6eTZs2Sc2aNR221alTx2yPKoJuAAAAAEC8NHz4cEmdOrXDotueZv78+XLz5k1p165dhPtcvHhRMmXK5LBN13V7VDF6eTTpBzRlyhTzOEmSJJIuXTopWrSoqfvX59zcuJ8BAHCuO9duyt/Tf5d/du6XhyEPxNs3g1Tt0lp8cucId/+7NwJl05S5cvX4GQm8eFUK168iFdu/EuvtBgAkHqFOHr28X79+0rNnT4dtyZIle+oxEyZMkHr16kmWLFkkNhB0Pwet8Z80aZI8evRILl26JMuWLZNu3brJb7/9JgsWLDDBeFgPHjyQpEmTuqS9AICEIzjorvze/2vJUjiP1Pu4iyT3TiW3LlyRZKlSRnjMowcPJYW3l5R4ua7sXbQ6VtsLAEikLM4NujXAflaQbe/06dOycuVKmTt37lP3037fGuPZ03XdHlWkY5+Dfrh60bNmzWo61X/00Ufy+++/y9KlS2Xy5MlmH+0jMG7cOHnppZfE09NTPv30UxOk6yh4OXPmlBQpUki+fPlMR317mi3X0fE+++wzU8aQJk0aGTJkiDx8+NB05tfMup+fnwn67fXp00fy5s0rKVOmlICAAPnkk09MoA8ASFh2zV8hqdKnlapd35CMefzFO1MG8SteQLx9fSI8xitjeqnY4RXJW7WceKRMHqvtBQAgLtD4KWPGjNKgQYOn7lehQgVZtWqVwzYd8Vy3RxWZ7hhWvXp1KVasmLlz0qlTJ7Nt0KBBMmLECBk1apTJfj9+/NgEzDrvW/r06c1w9G+99ZZkzpxZmjdvbjvXn3/+afb766+/ZMOGDSZQ130rV64sf//9t8yaNUvefvttqVWrltlPeXl5mYBfSyX27t0rb775ptn24YcfuuyaAABi3ulte8WvWAFZMXKCXDhwVDzTpZGCdV6UArUqubppAAD8x825me6o0DhMg+62bds+UZXcpk0bk0y19gfXCmYd2fyrr74yAfrMmTNl27Zt8uOPP0b5dQm6nUAnUN+zZ49t/fXXX5f27ds77DN48GDbY8146yh4s2fPdgi6NZs9ZswY0z9cs+FffPGF3L1712TUrf0XNJhfv369vPbaa2Zb//79HSaA7927t/mCPC3o1tH9wo7wF5USDQBA7Lt96aoc/GOdFGlYXUo0qy1Xjp+WjZN+E/ek7pK3anlXNw8AgDhn5cqVcubMGTNqeVi63X5crooVK8qMGTNMfKXxV548ecwAbIULF47y6xJ0O0FoaKjD0POlS5d+Yp///e9/MnHiRPPh3rt3zwxbX7x4cYd9ChUq5PDBa5m5/Yfs7u5uMuWXL1+2bdPstwbqx48fl6CgIFOO7u3t/dT26t0c+5sAauDAgeL1MtkSAIjLv2t8ArJL2VYvmfUMAdnk+pkLcuCP9QTdAIC4wyJxRu3atc3vz/CsWbPmiW2vvvqqWZ4Xfbqd4ODBgyZ7baV9ue1p5lkz0Fou/scff8iuXbtMJlwDb3thB1zTQD68bVomoTRb3qpVK6lfv76Z7H3nzp3y8ccfP3HesDRjHhgY6LDoNgBA3JUyjbekyeY4mEtaP18JunrDZW0CAABPItMdw7Qftval7tGjR4T7aP9sLVfo0qWLbZtmpp+X9vfOkSOHCbTtR+eL6RH/AACulyl/gASe+6/SSd08f1m8MqRzWZsAAAjLjTQvme7nof2gdXL0c+fOyY4dO8xI440bN5aGDRuajvgR0f4A2gl/+fLlcuTIETPC+NatW5+7PXpeLVfXTLoG8VpmPm/evOc+LwAg7tG+3JeOnpSdc5ZL4IUrcmzdVjm0coMUrFvZts+Wn3+X1WOmOhx39eRZszy4Hyz3A4PM4xv/XHDBOwAAIHEg0/0cdF5uHXFcR75LmzatGbVcA10dDc++L3ZYOuK4ln63aNHClIe3bNnSZL11qrHnodOSaYb93XffNTcEdJQ9Deh19HQAQMKSMXcOqf3Bm7JlxgLZ8dtSMx1YhXYvS57KZWz73L1xS4KuXnc4bu4HI2yPr574R46t3yapfNLJ6+OGxGr7AQCJgyUO9el2FUtoRD3Jkeh9tXeFq5sAAAAAQER6Fakl8VHA2LVOPf+JLlUkrqO8HAAAAAAAJ6G8HAAAAADgFBbqy8l0AwAAAADgLGS6AQAAAABOYSHRTaYbAAAAAABnIdMNAAAAAHAKC5lugm4kvGkJAAAAACCuIOhGhIpNX+fqJgAAAAAQkd2tX5T4yEKHZoJuAAAAAIBzWCgvZyA1AAAAAACchUw3AAAAAMAp3Mh0k+mOj/z9/WXUqFG2dYvFIvPnz3dpmwAAAAAATyLTHQPatWsnU6ZMeWL70aNHJXfu3DH+elu3bhVPT88YPy8AIH7JmMJDupfMKZWypJXk7m7yz+37MmDTETlwPSjCY+r7+0i7Qn6S3SuFBD14JBvOXZevd5yUwJCHsdp2AEDiYCHTTdAdU+rWrSuTJk1y2Obj4+OU13LWeQEA8YeXRxKZXKeYbLt0U7r+uU9u3H8g2b1TyK2nBM/FfbxlWMV8MnL7CVl79ppkTJlM+pfLLQPL55Gefx2M1fYDAJBYRKu8/NGjRzJhwgR5/fXXpWbNmlK9enWHJTFKliyZ+Pr6OiyjR4+WIkWKmKx0tmzZpEuXLhIU9F/2YfLkyZImTRpZtGiR5MuXT1KmTCmvvPKK3L1712TOtYw8bdq08v7775trHlF5uT29/u+++67DtitXroiHh4esWrXKiVcAABCbOhT0k0t3g2XApqOy71qQnLsTLJsu3JSzQfcjPKZoBi85f+e+zDh83uy/88ot+e3oRSmc3itW2w4ASFyZbosTlwQbdHfr1s0sGggWLlxYihUr5rDgX25ubjJmzBjZv3+/CaL//PNP+fDDDx320QBb95k5c6YsW7ZM1qxZI02bNpUlS5aYZdq0afLDDz/Ib7/9FqnX7NSpk8yYMUOCg4Nt26ZPny5Zs2ZNtDdEACAhquKXXvZfC5IvX8wvq18pJ7Pql5BmuX2fesyeq7fFN2UyeSFLWrOeLnlSqZk9g6w7fz2WWg0AQOITrfJyDRBnz54t9evXj/kWxVOarU6VKpVtvV69evLrr786ZKeHDRsmnTt3lrFjx9q2P3jwQMaNGye5cuUy65rp1kD70qVL5nwFCxaUatWqyerVq6VFixbPbEezZs1Mpvv333+X5s2b2zLq2u9cB1wLjwbo9kG6NXMPAIi7/LySS3OvzDLt4FmZsO8fKZTeS/qUDpAHjx/LwhOXwz1m15Vb0m/DYfnixfzi4e4mSd3cZM3ZazJ8y/FYbz8AIHGwxJd0dFwLurVU2RkDhMVnGhhr8GylJeUrV66U4cOHy6FDh+TWrVvy8OFDuX//vsluaym50p/WgFtlypTJBOj2Abxuu3w5/D+gwkqePLm88cYbMnHiRBN079ixQ/bt2ycLFiyI8Bht4+DBgx22DRw4UCR3jShdAwBA7Jaq7b8eJN/uOm3WD924I7nTpJRX82SOMOgOSJ1SPiwdID/sPSMbz98QnxQe0qNkgOnXPWjz0Vh+BwCAxMDCfFnRKy/v1auX6a8cGhoa8y2KpzTI1hsR1kUzxw0bNpSiRYvKnDlzZPv27fK///3P7BsSEmI7LmnSpE/cCQpv2+PHjyPdFi0xX7FihZw9e9YM7qZl5Tly5Ihw/379+klgYKDDotsAAHHXlXshciLwrsO2E4H3JLNnxJVKHQv5mWz3lAPn5OjNu7Lxwk35bMsxaZrbVzKkcPzdAwAAXJjpXr9+vSl3Xrp0qRQqVOiJIHHu3LmS2GmQrYHyV199Zfp2Ky3Jjw06eFvp0qXlp59+Mv27v/vuu6fur6XklJMDQPyiwbO/dwqHbTm8U8j5O47dhewlT+Iujx473jB/9P830C1C+R8AIOZZ+PUSvaBbR9zWwb4QMc12a3/tb7/9Vho1aiQbNmyQ77//PtZeX7Pd2rdbM/B8VgCQ8Ew/dE6m1CkmHQtlkz9OX5HCGbzklTy+MsSuTPz94v6SMaWH9N94xKzrNGEDyucxJegbL/xbXv5B6QDZe/WWyZwDAIA4EnSHnY8aT9JR3L/++mv5/PPPTal25cqVTd/pNm3axMrrt2zZUrp3725+aj9vAEDCoiOX91x70ATWbxfNLueC7ssX207IklNXbPtkSOEhvnbl5gtOXBbPpEmkZb7M0qtUTrkd8lC2XgqUUTtOuuhdAAASOguZbrGE0jE7QTp16pQZoG3r1q1SsmTJaJ2j2PR1Md4uAAAAAFG3u/WLEh8Vc3JMER+uS6Qz3Rq4rVq1StKmTSslSpR46tDvOmI2XENL2q9duyb9+/eX8uXLRzvgBgAAAIDnZSHTHfmgu3HjxrbBtpo0aeLMNuE5aN9xnb4sb9688ttvv7m6OQAAAACQqFFejghRXg4AAADEDfGhjDo8JWc4N6bY8fqLCXMgNQAAAAAAnsVCeXn0gu5Hjx7JN998Y+adPnPmjISEOE4zcv369ZhqHwAAAAAA8ZZbdA4aPHiwmQ6rRYsWEhgYKD179pRmzZqJm5ubDBo0KOZbCQAAAACIl5luixOXBNunW6eiGjNmjDRo0EC8vLxk165dtm2bN2+WGTNmOKe1AAAAAIB4o/RM5/bp3vZaAu3TffHiRSlSpIh5nCpVKpPtVg0bNpRPPvkkZlsIlwkMWe7qJgAAAAAQkdQedSQ+srjFk3R0XCsv9/PzkwsXLpjHmuH+448/zOOtW7faphUDAAAAACCxi1bQ3bRpU1m1apV5/N5775nsdp48eaRNmzbSoUOHmG4jAAAAACAestCnO3rl5SNGjLA91sHUsmfPLps2bTKBd6NGjWKyfQAAAAAAxFsxMk93hQoVzAIAAAAAgJUlnmSj42TQff78eVm/fr1cvnxZHj9+7PDc+++/LwlFu3btZMqUKU9sP3r0qOTOnfu5z33z5k2ZP3/+c50HAJD4/Dh2iYwft8xhWw7/jPLrwv7h7j//t42yeOEWOXH03zFZ8hfMJl26NZJCRXLESnsBAImThaA7ekH35MmT5e233xYPDw9Jnz69WOyupD5OSEG3qlu3rkyaNMlhm4+Pj8vaAwCACsidWb77qattPYl7xEO1bN96VOrUKyVF++UUD4+kMnXiSnnv7bEyc14/yZgpTSy1GACAxCdaA6npwGkDBgwwU4WdOnVKTp48aVtOnDghCY2OyO7r6+uwjB492kyb5unpKdmyZZMuXbpIUFCQw42JNGnSyPLly6VAgQJmajUN3q2jvg8aNMhk0H///Xdzo0KXNWvWmOf69OkjefPmlZQpU0pAQIC53g8ePLCde/fu3VKtWjUzR7q3t7eUKlVKtm3bJnfu3DHrv/32m0P7NZOu7bx9+3asXTMAgPO5u7tJhgzetiVN2lQR7jv087byymsvSt78fuIfkEk+HtxSQh8/lq1/H4nVNgMAEhc3i3OXBJvpvnv3rrz22mvi5hatmD1B0Pc+ZswYyZkzp7nRoEH3hx9+KGPHjnW4TiNHjpRp06aZ/Vu3bi29e/eWn3/+2fw8ePCg3Lp1y5ZFT5cunfmpwbQG7VmyZJG9e/fKm2++abbp+VWrVq2kRIkSMm7cOHF3d5ddu3ZJ0qRJTWCtn4ue75VXXrG1w7qu5wAAJBz/nLki9av3N5nrIsX8pWv3RuKb+d/fJc9y/36IPHz4WLxTp3R6OwEASMyiFXR37NhRfv31V+nbt68kBosWLTKZaqt69eqZ92/l7+8vw4YNk86dOzsE3Zqd/v77781c5urdd9+VIUOGmMd6vhQpUkhwcLDJnNvr37+/w7k1QJ85c6Yt6D5z5ox88MEHkj9/frOuo8ZbderUSSpWrGgy6pkzZzZ97pcsWSIrV66M8P1pG3SxZ+Zbjyd3jgAgMSpcxF8GDG1l+nFfvXpLxo9bKm+1HS2/zOsnnp7Jn3n8d98skAw+3lK2fL5YaS8AIHGyEFNEL+gePny4NGzYUJYtW2ZKrDXLau/rr7+WhERLuTWrbKUZZQ1i9TocOnTIZKsfPnwo9+/fN9ltLQtX+tMacCtrEPwss2bNMln048ePm5J1PbeWjVv17NnTBNeaQa9Zs6a8+uqrttcpW7asFCpUyJSu602R6dOnS44cOaRy5coRvp6+j8GDBztsGzhwoPT4iBHpASCuqvhiQdvjPPmySuEiOeSlOoNk5fKd0rjZ0//7PWX8ClmxdIeMm/ieJEvm+DscAADErGjVh2uQpn2VL126ZMqfd+7caVu01Dmh0SBbRyq3LpoV1psORYsWlTlz5sj27dvlf//7n9k3JCTEdlzYmxHabzs0NPSpr6XznWv5eP369U2GXa/pxx9/7HBe7Q++f/9+adCggfz5559SsGBBmTdvnu15Dci1PN1aWt6+fXuHwe7C6tevn+mfb7/oNgBA/OHlnVKy58goZ89ceep+0yevkikTV8qYH7uYYB0AAGeyuDl3SbCZ7q+++komTpxoprxKjDTI1mnS9DpY+7XPnj07yufR0d8fPXrksG3jxo0mM62BttXp06efOFYHWtOlR48e0rJlSxNcN23a1Dynfce1FF2z5QcOHJC2bds+tR1aSm7KycO4/1+cDwCI4+7eDZZz/1yVDI3KRLiPjlg+6ac/ZMz370jBQtljtX0AACRW0bo3oAFapUqVJLHSbLf21/7222/NIGpa5q19t6NK+2vv2bNHDh8+LFevXjXn1P7Z2mdb+3BrebkGzvZZ7Hv37pm+4TrSuQbjGzZskK1bt5oR0q3Spk0rzZo1M/2+a9euLX5+fjH23gEAccPokfNlx9ajcv7cNdmz64R82G28uLlbpHa9kub5gR9Nk/+NWmDbf8qEFfLDd4vlkyGvS+as6U0/cF00WAcAwFksFucuCTbo7tatmwk4E6tixYqZfuuff/65FC5c2IxGriX3UaWjkufLl09Kly5t5v3WAPqll14y2WsNrIsXL24y3zplmJWOVn7t2jVp06aNyXQ3b97cDOwWtk+2DnanJekdOnSIkfcMAIhbLl+6Kf37TJFXGw2Tj3pNktRpPGXizz0lbbp/Z6q4dOGGXL1yy7b/3Nkb5MGDR9K350SpX62/bdFycwAA4DyW0Gd1Mg6HljFrX+L06dObQbvC9l2eO3duTLYR0aDZdw3ez58/b8rYoyMwZHmMtwsAAABA1KX2qCPxUeWFG5x6/r8aVUqYfbrTpEljypcR9+jo6Tpd2IgRI+Ttt9+OdsANAAAAAM/LEk9KwONc0K2DdkWGlktr6XR4g3TBOb744gv59NNPzRRhjEAOAAAAAPGwvDyydG5pnUIsICDAWS8BJ6K8HAAAAIgb4mt5edXFzi0vX9Mg7peXO3VmMyfG8wAAAAAAJMzycgAAAAAAnsVCn27nZroBAAAAAEjMyHQjwfUbAQAAABA3uJHpdm7QbaGWIF77/fRSVzcBAAAAgIg0zlHP1U1ANDGQGgAAAADAaZluNycuUXHu3Dlp3bq1pE+fXlKkSCFFihSRbdu2Rbj/mjVrTCI57HLx4sXYyXQ/fPjQNOL48ePy+uuvi5eXl5w/f95ME5YqVSqzz+3bt6N7egAAAABAPOdmiRuJ2Bs3bkilSpWkWrVqsnTpUvHx8ZGjR49K2rRpn3ns4cOHTZxrlTFjRucH3adPn5a6devKmTNnJDg4WGrVqmWC7s8//9ysf//999E5LQAAAAAAMU5j1WzZssmkSZNs23LmzBmpYzXITpMmTeyWl3fr1k1Kly5t7hZoWt6qadOmsmrVKknsJk+e/FwfCgAAAAAkBG5OLi/XpO+tW7ccFt0W1oIFC0wM++qrr5ogukSJEvLTTz9F6j0UL15cMmfObJLNGzZsiPo1iPIRIrJu3Trp37+/eHh4OGz39/c3dfIJWbt27aRJkyYR1vvfvHlTWrRoIUeOHInU+QjQAQDR8cfUpfJh7e4Oy5cdPotw/0cPH8mK6ctkRNuh8lGD3vJN5y/k8NaDsdpmAABi2vDhwyV16tQOi24L68SJEzJu3DjJkyePLF++XN555x15//33ZcqUKRGeWwNtreKeM2eOWTRTXrVqVdmxY4fzy8sfP34sjx49emL72bNnTZl5YqfZf/sKgNign4cG/W5uTL0OAIlFphy+8tbnXWzrbu4R/w5YPnmx7Fi1XV7u0UIyZssoR7YdkimDJ0rXUd0ka26/WGoxACCxcXPy+fv16yc9e/Z02JYsWbJwY1jNdH/22b83qDXTvW/fPhNUt23bNtxz58uXzyxWFStWNGOaffPNNzJt2jTnXoPatWvLqFGjbOsa7AUFBcnAgQOlfv36ktiFzV7v3r3bdNjXGxLaAb9UqVJmlDzNjrdv314CAwNtI+ENGjTIHKOl+23atDEd+1OmTCn16tUzHf3DvoaWSRQsWNB8sdavXy9JkyZ9YjS97t27y4svvhiLVwAAEBs0yPZK521bPFP/O5BpeLav3CbVW9aUAmULSvrMGaRCoxckf9kC8tdvq2O1zQAAxCSNgzTGsl/CC7o1a61xk70CBQqYccqiomzZsnLs2LEoHROtoHvkyJGmll0bff/+fTN6ubW0XDuow1GrVq3Ez89Ptm7dKtu3b5e+ffua4FjvlOjNC/1iXLhwwSy9e/e2lbFrYK5B9aZNm8z0a3pD48GDB7bz3r1711zv8ePHy/79+82dm4CAAIe7Lrr/zz//LB06dHDJewcAOM/Vc1dl6GsDZESboTJj+DS5cflGhPs+evBQkiRN6rAtqUdSObX/RCy0FACQmEcvd3PiElk6crmOQm5PuwTnyJEjSu9n165dJoB3enm51rJr9nbWrFnmp2a5O3bsaILL2C6rdoVFixbZpkWzCq/c3krvnnzwwQeSP39+s679CKy0z4FmuH19fW3bNKOtwbbe2NDAXGngrNd9/vz5pvO/NaAeO3asFCtWzHasfg46Ip++nlq4cKG5MdK8efMI26cDDYQdbCC8u0MAgLgje/4c0uKD18XHL6Pcuh4oK6cvl3E9x0jPH/tI8pTJn9g/b+n8sm7uGslZNJekz5xeju08Kvs27DHldgAAJHQ9evQwsZWWl2tstGXLFvnxxx/NYl+qronkqVOnmnVNkOoI54UKFTIxlSY7//zzT/njjz+cG3RroKfBowaeGmTrkthoqbh2wrf3999/m4nWw6N9DDp16mQy0DVr1jRBc65cuSI8/8GDByVJkiRSrlw52zadwF37E+hzVjqQXdGiRR2O1Qy5DnK3efNmKV++vClD1y+Vp6dnhK+nAw0MHjzYYZt2FSjR/r/XBwDELfnL/lcilzkgiwnCh7ceInvW7pKy9co/sf9L7zSTOd/MlJEdPxOLWCRdlvRSunY52br871huOQAgMXGzSJxQpkwZmTdvngmshwwZYoJpDart41mtPLYvNw8JCZFevXqZQFy7/GrstXLlShMPOjXo1rJojfITMw1gc+fO/cQgchHRftpagr948WIzEbsGtDNnzjRTrD0PrSrQLLk9Hf6+UaNGJtutXyR9Pe07Hp3BB5Zd/PO52gcAiD0pUqWUDH4+cu38lXCfT5UmlbQd3EkehDyQu7fuiHf61LJ0wkKT9QYAwFncJO5o2LChWSKiCUt7H374oVlccg26du1q+hI/fPjwuRuQWOTNm9eUNGgpQrNmzWyTsmu2Omxpunbo12ur2XOra9eumT4IYTv/h0ez6lr6r6USmlHX/gsxMfgAACDuCr4XLNcuXDMDqj2N9uNOnSGNPH70WPau3yMFKxSOtTYCAJAYRatPtw4ItmrVKhNAFilS5InS5blz58ZU++K9e/fumf7Vr7zyisk8a0Zcr9/LL79sntcB6LRPvF5P7ZutZQva57tx48by5ptvyg8//GBGPdfB17JmzWq2P0udOnVM4Dxs2DBTOgEASHgW/fi7FChfSNJmTCu3rt2SFVOXipubRYpXK2Wen/nFdEmdPrXU69jIrJ85eEoCrwVKllxZ5dbVQFkxbZmEPg6Vqs2ru/idAAASMrc4Ul4e74JunarKGjTi6dzd3U2WWqf/unTpkmTIkMFkuq19qLUzf+fOnaVFixZmPy0913J0zYR369bNlD9oX4LKlSvLkiVLTHn/s+hc3dq3WwcJ0NcFACQ8gVduyozPpsrd23ckVepU4l8oQN4d3cOUkaubl284dEF68OChLJ+8RK5fuCYeKZKZ6cJa9GltytIBAIDzWEJ1LiokODqK+ZUrV8wo6NH1++mlMdomAAAAANHTOEc9iY9e+fMvp57/t+qVJUFmuhF3BQYGyt69e2XGjBnPFXADAAAAAMQ1A6lpmfQbb7whWbJkMVNbaQm1/QLX0T7ftWvXNiXrtWrVcnVzAAAAACTyPt1uTlzig2hlurW/sM5f9sknn0jmzJmfmLYKrvOs6cEAAAAAAHE86F6/fr2sW7dOihcvHvMtAgAAAAAkCG6ubkB8DbqzZcsmjL8GAAAAAHgaNwtxY7RuPIwaNcrMG33q1KmYbxEAAAAAAIl5yrC0adPK3bt35eHDh5IyZcon5o6+fv16TLYRAAAAABAPtV671qnnn16liiTI8nLNdCPhu/9os6ubAAAAAEBEkruXd3UTEJtBd9u2baP7egAAAACARMLN1Q2Iz9fg+PHj0r9/f2nZsqVcvnzZbFu6dKns378/JtsHAAAAAEDiCrrXrl0rRYoUkb///lvmzp0rQUFBZvvu3btl4MCBMd1GAAAAAEA85GZx7pJgg24duXzYsGGyYsUK8fDwsG2vXr26bN5MP2AAAAAAAKLdp3vv3r0yY8aMJ7ZnzJhRrl69muiubLt27eTmzZsyf/58h+1r1qyRatWqyY0bNyRNmjQuax8AIOEZ9908+X6s4+8d/5yZ5ffFI8Ld/9jRszL2u3lycP8pOX/+qnzQ93Vp3aZOLLUWAJBYuTFPd/SCbg0gL1y4IDlz5nTYvnPnTsmaNWtMtS3RCwkJcagkUI8ePRKLxSJublErUojucQCAuCtX7qzy44QPbevuSdwj3Pf+/RDx8/ORWnXKyMgRT944BwDAGdziSQm4M0UrAnvttdekT58+cvHiRRPIPX78WDZs2CC9e/eWNm3axHwrE4g5c+ZIoUKFJFmyZOLv7y9fffWVw/O6bejQoeYaent7y1tvvSWTJ082NzkWLFggBQsWNMeeOXPGZM91P50zXedKr1evnhw9etR2roiOAwAkHEnc3SWDTxrbkjatV4T7Fi4SID0/eE3q1S8vHh5JY7WdAAAkZtEKuj/77DPJnz+/ZMuWzQyipkHdiy++KBUrVjQjmuNJ27dvl+bNm5sbFlqeP2jQIPnkk09McGxv5MiRUqxYMVM1oM+ru3fvyueffy7jx483o8NrGb+WtG/bts0E1Zs2bZLQ0FCpX7++PHjwwHau8I4DACQcp89clJpVukn92r2l3wffy4Xz11zdJAAAngg43Zy4JNjyci15/umnn2TAgAEmgNTAu0SJEpInTx5JrBYtWiSpUqV6oqTb6uuvv5YaNWrYAum8efPKgQMH5MsvvzQBtP1gdL169bKtr1u3zgTSY8eONcG40oy2BttaXaA3OtTPP/9sboJov/JXX33VbAt7XESCg4PNYk8z49H7dgAAYkORogEy9NM3xT+nr1y5Eig/jJ0v7d/4VOYs+FQ8PVO4unkAAOD/RSus6tmz5xPbdNRyLTVPnjy55M6dWxo3bizp0qWTxEIHTBs3bpzDNp1SrXXr1ubxwYMHzTWxV6lSJRk1apQJzt3d/+2HV7p06XBvchQtWtS2rudKkiSJlCtXzrYtffr0ki9fPvNcRMdFZPjw4TJ48GCHbTr1W99P6kbinQMAXOGFyv/dUM2b798gvF7NXrJ82RZp9nIVl7YNAAArNwZSi17QraXPO3bsMMGiBnrqyJEjJnDUsnPNrmq2dv369ab0PDHw9PQ0NxvsnT17NlrnCStFihTmhkZURfa4fv36PXEjRTPdobIzyq8JAHANb29PyeHvK/+cvuTqpgAAADvRKoPXjG3NmjXl/Pnzpq+yLhpg1qpVS1q2bCnnzp2TypUrS48ePaJz+gSpQIECphzcnq5rmbk1yx2Vcz18+NBk0q2uXbsmhw8fjtZNDg2wdeA2+8WUlwMA4o27d+7LP2cumwHVAACIS6OXuzlxSbCZbu2HvGLFChOcWaVOndoMDla7dm3p1q2b6e+tj/EvzfyXKVPGjE7eokULM/jZd999Z6oCokr7zuuNjzfffFN++OEH8fLykr59+5rp2sKWsAMAEqavvvhFqlQrIZmzpJcrl2+aebvd3d2kXoPy5vmP+/4gGTOmlW49m5v1ByEP5fjxc/8+fvBQLl+6IYcOnpaUKZNL9hyZXPpeAABIyKIVdAcGBsrly5efyKpeuXJFbt26ZR7rdFU6zzT+VbJkSZk9e7a5GaGBd+bMmWXIkCEOg6hFxaRJk8zNjYYNG5rrrJUFS5YskaRJmQYGABKDS5duSN/e4+TmzSBJm85LSpTMK9N++UTSpfv3hvjFC9fFze2/grbLV25Ii5cH2NanTFpqltJl8suEKf1c8h4AAAmfWzzJRjuTJVTnmoqiVq1amUytzjOt2Vu1detWM0+3jqY9bdo0mTlzppn+Sqe1Qvx0/9FmVzcBAAAAgIgkd/+3kim+eX/Taqeef0yFapIgM91a0qz9tXXOae1bbE6UJIm0bdtWvvnmG7OuA6rp/NAAAAAAACRW0cp0W+n83CdOnDCPAwICnpinGvEbmW4AAAAgboivme7um/906vlHla8uCTLTbaVBdmTmgQYAAAAAIDF6rqAbAAAAAICIuDGQWvTm6QYAAAAAAM9GphsAAAAA4BRurm5AHEDQjQQ3WAMAAAAAxBUE3YiQf/+lrm4CAAAAABE5NayexEdu9Okm6AYAAAAAOIfFEu0ZqhMMSuwBAAAAAHASMt0AAAAAAKdwo7ycTHdC4O/vL6NGjXJ1MwAAAAAAYZDpdpJ27drJlClT5O2335bvv//e4bmuXbvK2LFjpW3btjJ58uTnfq2tW7eKp6fnc58HABB/rO9VRfzSpnxi+9TNp2XAogNPbM+TMZX0rJFHimTxNscNWXxQJm46FUutBQAkVm6ubkAcQNDtRNmyZZOZM2fKN998IylSpDDb7t+/LzNmzJDs2bPH2Ov4+PjE2LkAAPHDS+M2ibvdXzJ5M3nJz+3LypL9F8PdP0VSdzlz/a4s2XdRPqmfP/YaCgBAIseNBycqWbKkCbznzp1r26aPNeAuUaLEU8vDixcvLoMGDTKPQ0NDzWM9LlmyZJIlSxZ5//33Izz+5s2bJsOeKVMmSZ48uRQuXFgWLVrk5HcLAIhN1++GyJWg/5Ya+TLKqWt3ZPPJ6+Huv+dcoAxfflgW7r0gIQ8fx3p7AQCJk5sl1KlLfECm28k6dOggkyZNklatWpn1iRMnSvv27WXNmjWRPsecOXNMtlyz5oUKFZKLFy/K7t27w9338ePHUq9ePbl9+7ZMnz5dcuXKJQcOHBB3d/cYe08AgLglqbtFmhTLIuM3nnR1UwAAQBgE3U7WunVr6devn5w+fdqsb9iwwQTPUQm6z5w5I76+vlKzZk1JmjSpyXiXLVs23H1XrlwpW7ZskYMHD0revHnNtoCAgKeePzg42Cz2NKMOAIgfahfIJN7Jk8hvO865uikAADhwY/RyysudTftbN2jQwAyYphlvfZwhQ4YonePVV1+Ve/fumeD5zTfflHnz5snDhw/D3XfXrl3i5+dnC7gjY/jw4ZI6dWqHRbcBAOKHFqX8ZM3Rq3L5tuMNVAAA4kLQ7ebEJT4g6I6lEnMNunU0c30clpubm+m3be/Bgwe2x9ov/PDhw2bEcx2QrUuXLlK5cmWHfaysA7ZFhWbiAwMDHRbdBgCI+7KmSS6VcmWQWdv+cXVTAABAOCgvjwV169aVkJAQsVgsUqdOnXCz4RcuXLCt37p1S06ePPlEMN2oUSOz6JRj+fPnl71795rB2uwVLVpUzp49K0eOHIl0tltLySknB4D46dWSfnLtTrD8eeSKq5sCAMAT3F3dgDiAoDsW6CBm2sfa+jis6tWrm0y4BtRp0qSRAQMGOOynzz169EjKlSsnKVOmNAOkaRCeI0eOJ85VpUoVkwV/+eWX5euvv5bcuXPLoUOHTMCvwT8AIOGwWEReKeknc3aek0ePHSumvnq5qFy6dV++WHHENthaHp9U///YTTJ5J5OCvl5yJ+SRnL5+1yXtBwAgMSDojiXe3t4RPqel3JrZbtiwoelPPXToUIdMtwbiI0aMkJ49e5rgu0iRIrJw4UJJnz59hKOd9+7dW1q2bCl37twxgbceDwBIWF7IlUH80qSQ2dvPhlt2bt91KZNXclny7gu29bdfDDDL5pPX5LUJW2KtzQCAxMUtnkzr5UyW0LCdiYH/599/qaubAAAAAEBETg2rJ/HRZ7tWOPX8HxWvJXEdmW4AAAAAgFO4xZMRxp2J0csBAAAAAHASMt0AAAAAAKdwI9NN0A0AAAAAcA53gm7KywEAAAAAcBYy3QAAAAAAp3Aj003QjYQ3LQEAAAAAxBUE3YhQhnzdXd0EAAAAACJy9fAoiY/cLKGS2NGnGwAAAAAAJyHoBgAAAAA4rU+3mxOXqDh37py0bt1a0qdPLylSpJAiRYrItm3bnnrMmjVrpGTJkpIsWTLJnTu3TJ48OerXIMpHAAAAAAAQj9y4cUMqVaokSZMmlaVLl8qBAwfkq6++krRp00Z4zMmTJ6VBgwZSrVo12bVrl3Tv3l06deoky5cvj9Jr06c7DvL39zcfqC4xoWrVqlK8eHEZNSp+9gMBAAAAED+5S9zw+eefS7Zs2WTSpEm2bTlz5nzqMd9//73ZR4NzVaBAAVm/fr188803UqdOnUi/NpnuSGrXrp1YLBbp3LnzE8917drVPKf7xIStW7fKW2+9FSPnAgAkLm5uFunbrZ5sX/WJ/LP7C9m6or/06lLb1c0CAMApgoOD5datWw6LbgtrwYIFUrp0aXn11VclY8aMUqJECfnpp5+eeu5NmzZJzZo1HbZpsK3bo4KgOwr0zsjMmTPl3r17tm3379+XGTNmSPbs2WPsdXx8fCRlypQxdj4AQOLx/ps1pH3LStJ3yBypWH+EDBm5UN7rVF3efKOyq5sGAEiE3Jzcp3v48OGSOnVqh0W3hXXixAkZN26c5MmTx5SHv/POO/L+++/LlClTImz7xYsXJVOmTA7bdF0De/uY8JnXIIrXLFHTDvQaeM+dO9e2TR9rwK13SuzLw8OWcmt596BBg8zj0NBQ81iP0w75WbJkMR94RMffvHlT3n77bfMBJ0+eXAoXLiyLFi0yz127dk1atmwpWbNmNYG6Dgbwyy+/OPU6AADirrIlcsrSVftkxdoD8s+567Jw+W5Zvf6wlCwaczeHAQCIypRhbk5c+vXrJ4GBgQ6Lbgvr8ePHJp777LPPTOymlcVvvvmmKSF3+jVw+iskMB06dHDoBzBx4kRp3759lM4xZ84c0w/ghx9+kKNHj8r8+fNNsBwe/XLUq1dPNmzYINOnTzcd/keMGCHu7u62THupUqVk8eLFsm/fPvPleeONN2TLli3P+U4BAPHRlp0npXL5vJLL38esF8qXRcqVCpBVfx10ddMAAIhxmsT09vZ2WHRbWJkzZ5aCBQs6bNM+2mfOnInw3L6+vnLp0iWHbbqur6Gjn0cWA6lFkQ4xr3dOTp8+bdY1GNaScx1KPrL0g9UPUPsH6Oh5mvEuW7ZsuPuuXLnSBNAHDx6UvHnzmm0BAQG25zXD3bt3b9v6e++9Z8olZs+eHeE5AQAJ1+gfV4lXquSyaWk/efQoVNzdLfLpN0vkt4XbXd00AEAi5B7Fab2cRUcuP3z4sMO2I0eOSI4cOSI8pkKFCrJkyRKHbStWrDDbo4KgOxr9rXXYeJ2fTcvE9XGGDBmidA7tvK/l4xo8161bV+rXry+NGjWSJEme/Dh0aHo/Pz9bwB3Wo0ePTImEBtk671xISIgZOCAqfcJ1/7CDDYR3dwgAEPc1qVdcXmlUSt7uNU0OHbsohQtklU/7NZWLlwNl1vytrm4eAAAu0aNHD6lYsaKJnZo3b24Smz/++KNZrDS5qjHV1KlTzboOov3dd9/Jhx9+aCqe//zzTxN3aZVxVFBeHg16wTXo1k73+jgsNzc3E5Dbe/Dgge2x9gvXuyxjx441ZQldunSRypUrO+xj9ayyhS+//FJGjx4tffr0kdWrV5sgXUfU0+A7siI7+AAAIO4b9OFLJts9b8lOOXjkgvz6+zb5fsoa6f624+irAAAkhIHUIqtMmTIyb948M/6VjpE1dOhQkwht1aqVbZ8LFy44lJvrdGEaYGt2u1ixYmbqsPHjx0dpujBFpjsaNDutQa1OExbeBddsuH5gVjq6nU6sHjaY1uy2LjrlWP78+WXv3r2mc7+9okWLytmzZ03pQ3jZbi1vb9y4sSl7t/YB133D9ld4Gr2j07Nnzycy3d/90ifS5wAAxA0pkns8ceNXy8zdLHGkvg8AABdp2LChWSKiidWwqlatKjt37nyu1yXojgYdxEz7WFsfh1W9enXzgWlAnSZNGhkwYIDDfvqcloWXK1fOlIHrAGkahIfXn6BKlSomC/7yyy/L119/Lblz55ZDhw6ZgF+Dfx3y/rfffpONGzdK2rRpzT7auT8qQbcG2JSTA0DCsHz1funRuZacPX/DlJcXKZBV3mlfVWbM+dvVTQMAJEJu3PMl6I4uHbHuaZljzWzrXRQt1dbSBftMtwbiOgK5Zpc1+NaRyxcuXCjp06ePcLRzHSxNpwa7c+eOCbz1eNW/f38z55xm3DWA19HLmzRpYobKBwAkPv2GzZG+3erLFwNfkQzpU8nFy7dkyqyNMvJ/y13dNAAAEiVLaNgaNOD/ZcjX3dVNAAAAACAiVw+Pkvho2jHn3vR9I3fU+le7ApluAAAAAIBTuFvI8TJ6OQAAAAAATkKmGwAAAADgFG6ubkAcwDUAAAAAAMBJyHQDAAAAAJzCjSnDyHQDAAAAAOAsZLqR4KYlAAAAABA3uJHpJuhGxD7ZvtLVTQAAAAAgIkNL1XR1ExBNBN0AAAAAAKdwZ55ugm4AAAAAgHO4UV7OQGoAAAAAADgLmW4AAAAAgFO4kekm0x2Rdu3aicVikc6dOz/xXNeuXc1zus/zmjx5sqRJk+a5zwMASHzuXr8pm/83Wea/9aHMadtdlvf5VK6fOB3h/me37JK1n30rv7/dR+Z27CWrBoyUi7sPxGqbAQBIbMh0P0W2bNlk5syZ8s0330iKFCnMtvv378uMGTMke/bsEpc8evTI3Ahwc+M+CgAkBiFBd+XPQV9JxoJ55cUPu0gy71QSdPGKeHimjPCYK4eOSaYi+aVIi5ckacoUcnLtJlk/8nupMfQDSeufLVbbDwBIHNzIdJPpfpqSJUuawHvu3Lm2bfpYA+4SJUqY9alTp0r69OklODjY4dgmTZrIG2+8YR7v3r1bqlWrJl5eXuLt7S2lSpWSbdu2yZo1a6R9+/YSGBhoAmZdBg0aZI7R8/Xu3VuyZs0qnp6eUq5cObN/2Az5ggULpGDBgpIsWTJZv369JE2aVC5evOjQlu7du8uLL77o1GsFAIhdhxb+ISnTp5Wynd+Q9Ln9JVXGDOJbtICkyuQT4TEl2rwi+RvVknS5cohX5oxS9LXGksrXR87v2BurbQcAIDEh6H6GDh06yKRJk2zrEydONIGy1auvvmqyzBr8Wl2+fFkWL15sjlWtWrUSPz8/2bp1q2zfvl369u1rguOKFSvKqFGjTCB+4cIFs2igrd59913ZtGmTybTv2bPHvE7dunXl6NGjtte5e/eufP755zJ+/HjZv3+/lC5dWgICAmTatGm2fR48eCA///yzrS0AgIRBA+W0Adll46jx8nvnPvJHv+Fy/M8NUTpH6OPH8vB+8FOz4wAAPA93i3OX+ICg+xlat25tMsinT582y4YNG8w2Ky07f/311x0C8+nTp5tseNWqVc36mTNnpGbNmpI/f37JkyePCaCLFSsmHh4ekjp1apPh9vX1NUuqVKnM/nq+X3/91WSoc+XKZYLxF154weF1NKAeO3asCd7z5csnKVOmlI4dOzrss3DhQlMS37x581i7ZgAA5wu6fFWOr1xnMtWV+74ruWq+KLum/Cqn/toc6XMcXrzKBN3ZypdyalsBAEjM6NP9DD4+PtKgQQNTzh0aGmoeZ8iQwWGfN998U8qUKSPnzp0z5eC6r3UgNtWzZ0/p1KmTyUBr8K1BtwbSEdm7d6/JnufNm9dhu5acaym7lQbtRYsWddhHX7d///6yefNmKV++vGmLBtxaoh4RPW/Y8ngtVwcAxGGPQ02mW0vElfbJDjx7Xo6vXC/+lcs/8/DTG7bK/rlL5IWeb0vy1F6x0GAAQGLkZgmVxI6gOxK0NFvLvdX//ve/J57X/t2audb+3bVr1zal3lpebqX9tDUbrtuWLl0qAwcONGXjTZs2Dff1goKCxN3d3ZSi6097mgm3z7JbA3urjBkzSqNGjUy2O2fOnOb17PuCh2f48OEyePBgh23aRmn0wlOPAwC4TvK03uKdNbPDNu8svnJuy65nHntm4zbZ9tPPUqFbJzOwGgAAzuLm6gbEAQTdkaB9qUNCQkyAW6dOnXD30Uy29s/WbLdms3UANnuatdalR48e0rJlSxMUa9Ct2WrNaocN4nWb9g2PzgBo2hZ9De1Hrhn1SpUqPXX/fv36mWx82Ez3sH3rovzaAIDYkSFvLrl94ZLDttsXL0vKDOmeGXBv/WG6lH+vvWQpUdjJrQQAANx4iATNNh88eFAOHDjwRObZSjPZZ8+elZ9++slh0LJ79+6ZLLlmm619wnVAtQIFCpjn/f39TWZ71apVcvXqVTM4mgbnOvhamzZtzGjpJ0+elC1btpiMtH0GPSJ6Y0AHZxs2bJjDoG8R0QBb97dfKC8HgLgtb73qcu3YSTkwf5kJtrVc/MSfGyR3rcq2ffbM/F3+HjvFtq77/D1uihRr3UzS5faXezcDzRJy956L3gUAIDFMGebmxCU+IOiOJGswGhEdEO3ll1825d86XZiVBunXrl0zAbQG09q/ul69erZybh0ErXPnztKiRQvTf/yLL74w2zUTrsf06tXLDJKm59RgPTLzg+tc3dq3W7Pleg4AQMKj035V6vGW/LNpuyzv86kcmLdUir/xiuR4oaxtn/s3A+XutRu2dQ3KQx89lh2TZsnCLh/Zll1Tf3XRuwAAIOGzhOroYIgRNWrUkEKFCsmYMWNc3RQzivmVK1ccpjKLqk+2r4zRNgEAAACInqGlakp8tPbCEqeev0rm+hLX0ac7Bty4ccOUj+uiU3i5UmBgoBn9fMaMGc8VcAMAAAAAnh9BdwzQgc808P78889NKbgrNW7c2PT/1pL1WrVqubQtAAAAABI3N6YMI+iOCadOnZK44lnTgwEAAAAAYg9BNwAAAADAKdziyQjjzkTQDQAAAABwCjeCbqYMAwAAAADAWch0I8FNSwAAAAAgbnBzdQPiAIJuRKjTegZlAwAAAOKC8S9UdXUTEE0E3QAAAAAAp7DQp5tsPwAAAAAAzkKmGwAAAADgFBZXNyAOINMNAAAAAICTJMpMd7t27WTKlCnmcZIkScTPz09effVVGTJkiCRPntzVzQMAIFKCb9yQk7/NlRt798vjkBBJntFH8nZoK17+/uHuH3j0mJz6ba7cvXDR7J8sfTrJXKWyZK3NbBUAAOewkOpOnEG3qlu3rkyaNEkePHgg27dvl7Zt24rFYpHPP//c1U0DAOCZHty5I7uHfylp8ueVwt3fk6ReXnLv0mVJktIzwmPcPTwkc/Wq4unnJ+7JPOTW0WNydOrP4pbMwwTfAADENDdXNyAOSLTXIFmyZOLr6yvZsmWTJk2aSM2aNWXFihXmueDgYHn//fclY8aMJvP9wgsvyNatW23HrlmzxgToy5cvlxIlSkiKFCmkevXqcvnyZVm6dKkUKFBAvL295fXXX5e7d+/ajlu2bJk5V5o0aSR9+vTSsGFDOX78uO35U6dOmfPOnTtXqlWrJilTppRixYrJpk2bHNq+YcMGqVq1qnk+bdq0UqdOHblx44Z57vHjxzJ8+HDJmTOnaZce/9tvv8XCFQUAxKazS5dLsnRpJW+HduIVkFOS+2SQtIULSoqMPhEekypHdslYrqx4Zs0iyTNkkIwVyptjbh05FqttBwAgMUm0Qbe9ffv2ycaNG8XDw8Osf/jhhzJnzhxTgr5jxw7JnTu3CWyvX7/ucNygQYPku+++M8f+888/0rx5cxk1apTMmDFDFi9eLH/88Yd8++23tv3v3LkjPXv2lG3btsmqVavEzc1NmjZtagJlex9//LH07t1bdu3aJXnz5pWWLVvKw4cPzXO6rUaNGlKwYEETjK9fv14aNWokjx49Ms9rwD116lT5/vvvZf/+/dKjRw9p3bq1rF27NhauJAAgtlzbtUdS+eeQg2N/kM3de8uOQcPkwtp1UTpH0OkzcuvYCUmdL6/T2gkASNwsllCnLvGBJTQ0NH60NIb7dE+fPt1ksTWY1cy2BsCzZ882ZeeaPZ48ebLJVCstQff395fu3bvLBx98YDLdmoleuXKlCYDViBEjpF+/fiZzHRAQYLZ17tzZZK81wx2eq1evio+Pj+zdu1cKFy5s9tUM9fjx46Vjx45mnwMHDkihQoXk4MGDkj9/ftOmM2fOmGA7LH0f6dKlM+2qUKGCbXunTp1Mxl1vBkRFp/VrorQ/ACD2rH+7q/npV7umZChdSm6fOiUnfpktud9oJZkq/fc7IDx/9+4jD24HSeijR5KjcSPJ3qhBLLUaABBd41+oKvHRzmuLnHr+EukbSlyXaPt0a9A8btw4k33+5ptvzIBqL7/8suzZs8cE2ZUqVbLtmzRpUilbtqwJfO0VLVrU9jhTpkym3NsacFu3bdmyxbZ+9OhRGTBggPz9998m4LZmuDWI1qA7vPNmzpzZ/NTSdQ26NdOtg76F59ixYya4rlWrlsP2kJAQUwYfEQ3WdQlbfg8AiMNCQ02m2//lprbS8bvnzsuFNWufGXQX6/OBPAoOllvHT8ipOfPMAGxadg4AQEyzuLoBcUCiDbo9PT1N2biaOHGi6fs8YcIEKVOmTKTPocG4lfbFtl+3brMvHdcy8Bw5cshPP/0kWbJkMc9psK1B8dPOq6zn0X7aEQkKCjI/tbQ9a9askQ6itSR98ODBDtsGDhwoUjN+3k0DgMTAI3VqSZnl3xuzVikyZ5ar23c+81jt/608/bLKg1u35Mzviwi6AQBwEvp060Vwc5OPPvpI+vfvL7ly5TJ9u3WwMivNfOtAatqPOrquXbsmhw8fNq+hJek62Jp18LOo0Cy49gcPj7ZPg2vNnOsNBftFB4yLiJbFBwYGOiy6DQAQd3nnySX3Ll5y2Hbv0iUzDVhUaC+zx/8/bggAADHNYnHuEh8k2kx3WFqyrf21teT8nXfeMY+1f3T27Nnliy++MGXb1n7W0aH9xHXE8h9//NGUjGtg3Ldv3yifR4PhIkWKSJcuXUyfcb1BsHr1atP+DBkymAHYdPA0zYzrSOkaQOsNBB1NXadFC48G6pSTA0D8krVWTdk9/HM5s3iJ+JQuLbdPnpKLa9dJnratbfucnDNPQm7clHyd2pv183+ulmTp0knKzL5mPfDIUTm3fIVkqVHNZe8DAICEjqD7/2mf7nfffdcE2CdPnjRB6xtvvCG3b9+W0qVLm+nBNHB+nmz6zJkzzVRkWlKeL18+GTNmjJn6Kyp0NHMdFV0z89rPXMvNy5UrZ0Y4V0OHDjWDs2nJ+IkTJ8z0ZCVLljT7AwASDq+c/lKg6zumT/aZBYtNyXjAa80lY/lytn1CbgZKsN3MG5rVPjVnvty/elUs7m6S3MdH/F9pJpmrvOiidwEASOgsrm5AHJAoRy9H5DB6OQAAABA3xNfRy/fdcO7o5YXTxv3Ry+nTDQAAAACAk1BeDgAAAABwCourGxAHkOkGAAAAAMBJyHQDAAAAAJzCQqqbTDcAAAAAAM5CphsAAAAA4BQWVzcgDiDoRoKblgAAAAAA4gqCbkTo1O2Frm4CAAAAABHx92ok8ZHF1Q2IAwi6AQAAAABO4UbUzUBqAAAAAAA4C0E3AAAAAMApLE5eImvQoEFisVgclvz580e4/+TJk5/YP3ny5NG6BpSXxwP6gXfv3l1u3rwZrePbtWtnjp0/f36Mtw0AAAAA4oNChQrJypUrbetJkjw9HPb29pbDhw/b1jXwjg6C7lhy5coVGTBggCxevFguXbokadOmlWLFipltlSpVeuqxLVq0kPr16z/zzs3gwYOf2L5ixQoZPXq0hIaGPvd7AADEHdN+WC7Tf1rhsM0vh49MmNMn3P3/WLhVvho8y2FbUo8ksmjjCKe2EwCQuFkscScO0SDb19c30vtrkB2V/SN83ec+AyLl5ZdflpCQEJkyZYoEBASYwHvVqlVy7dq1Zx6bIkUKs0T1zo1Kly6deHh4PFfbAQBxU46ATDJi7Nu2dfck7k/dP6Vncpkw58PnvmMPAEBcERwcbBZ7yZIlM0tYR48elSxZspgy8QoVKsjw4cMle/bsEZ47KChIcuTIIY8fP5aSJUvKZ599ZmKuqKJPdyzQ0u5169bJ559/LtWqVTMfXNmyZaVfv37y0ksv2fZ5++23JVOmTOZLULhwYVm0aJGtvDxNmjSRvnNjv2jAreXlTZo0cfr7BADELg2y02Xwti2p03g+dX+Nse33T5veK9baCgBInCxOXjRwTp06tcOi28IqV66ciauWLVsm48aNk5MnT8qLL74ot2/fDrfd+fLlk4kTJ8rvv/8u06dPN4F3xYoV5ezZs1G+BmS6Y0GqVKnMon2qy5cv/8RdF/0A69WrZz5w/UBz5colBw4cEHf3p2csAACJ27kzV6Rl3SHikSyJFCiSQzq8W18y+qaNcP9790LkjYbD5HFoqOTO5yftu9YT/1zPXzYHAICr9OvXT3r27OmwLbwst8ZbVkWLFjVBuCZDZ8+eLR07dnxif82E62KlAXeBAgXkhx9+kKFDh0apjQTdsUAz0HpX5c0335Tvv//elCZUqVJFXnvtNfOBa0n4li1b5ODBg5I3b15zjJagR9XevXtNcG9VsGBBc14AQMKTv3B26T3oNdOP+/rV2zL9pz+kV6f/yQ+zepsy8rB0v56fNJeAPJnlTtB9+W36GunR4Tv5cXZv8cn07GoqAACiw+LknkwRlZI/i1YSa+x17NixSO2fNGlSKVGiRKT3t0d5eSz26T5//rwsWLBA6tatK2vWrDHBtwbju3btEj8/P1vA/TRnzpyxZc510X4F9iUQei7rMmfOnEi1TftA3Lp1y2EJ2y8CABC3lKlUQCrXLCYBebJI6Qr5ZNjoThJ0+778tWJ3uPsXLOovtRqWllz5skrRUrlkwJftJHVaT1kyd3Ostx0AAFfT/trHjx+XzJkzR2r/R48emSRnZPe3R9Adi7Svdq1ateSTTz6RjRs3mr7WAwcOjNQgaVba8d8+sO7cubPtOe2/nTt3btuSLVu2SJ0zsv0gAABxVyqvFOKXI4OcP/vsATpVkiTukjtfVjn/z1Wntw0AkHi5OXmJrN69e8vatWvl1KlTJhZr2rSp6c7bsmVL83ybNm1MqbrVkCFD5I8//pATJ07Ijh07pHXr1nL69Gnp1KlTlK8B5eUupOXf2s9bS8y1Q/6RI0eeme3WUnUNqGOjH8SFkD9i9HUAAM5z726wCbhr1I/c4GiPHj2Wk8cuSNlKBZzeNgBA4mWJIxNlaLylAbbOHuXj4yMvvPCCbN682Ty2VhS7uf0Xxt+4ccN0D7548aKZ7rlUqVImWNcYLqoIumOBfrCvvvqqdOjQwQTYXl5esm3bNvniiy+kcePGpn935cqVTQn6119/bYLqQ4cOmalctBTd2SLsBxHi9JcGAETTj6MWSvkXC0rGzGnl2pVbZt5udzc3qVqnhHn+iwG/SIaMqc3gakr7fOtga1n8MkhQ0D35beoauXzxhtRtUtbF7wQAAOebOXPmU5/X7r/2vvnmG7PEBILuWKB9r3V0PP3QtN/AgwcPTOm33jn56KOPzD7a/1pLHvTuy507d0zgPWLECFc3HQAQR129FCjDP/5ZbgfekdRpU0mhYjll1OT3JE3afwfUvHLxhri5/ZdeCLp1T0YN+1VuXLstqbxTSp78WeWbCe9JjgBGLwcAOI/F1Q2IAyyhoaGhrm4E4qZTtxe6ugkAAAAARMTfq5HER2eCnBtTZE8V968LmW4AAAAAQILu0+1KjF4OAAAAAICTkOkGAAAAADiFxdUNiAPIdAMAAAAA4CRkugEAAAAATuFGqpugGwAAAADgHBZXNyAOIOhGgpuWAAAAAADiCoJuRGjZ2aWubgIAAAAAEanrV0/iI4slVBI7BlIDAAAAAMBJyHQDAAAAAJzC4uoGxAFkugEAAAAAcBIy3QAAAAAAp7CQ6ibTHdPWrFkjFotFbt68GeVjq1atKt27d7et+/v7y6hRo2zret758+fHWFsBAAAAAM5FpjsKNOh9moEDB5rAObrmzp0rSZMmjfbxAIDEY+mUpbJs6nKHbRmzZZSPJ38U4TFr5qyRDQs2yI3LN8UztacUq1xMGnVqKEk9+N0DAHAOi6sbEAcQdEfBhQsXbI9nzZolAwYMkMOHD9u2pUqVSrZt2xbl84aEhIiHh4ekS5cuxtr6tNcBACQMvv6+0vXLLrZ1N/eIC9i2rdouC39aJC0/aCk5C/nLlbNX5OcvZpg/hpp2aRpLLQYAJDZurm5AHMA1iAJfX1/bkjp1apP5tt+mQbfV9u3bpXTp0pIyZUqpWLGiQ3A+aNAgKV68uIwfP15y5swpyZMnD7e8/Fn++ecfad68uaRJk8YE7I0bN5ZTp07Znm/Xrp00adJEPv30U8mSJYvky5cvxq4FAMD13N3dxDudt21Jlfq/30Nhndp/UnIWzimla5SS9L7pJX/p/FKyWkk5ffhMrLYZAIDEhqDbST7++GP56quvTOY7SZIk0qFDB4fnjx07JnPmzDEl5bt27Yry+R88eCB16tQRLy8vWbdunWzYsMEE/XXr1jUZbatVq1aZgH/FihWyaNGiGHlvAIC44cq5q/JJ8wEypPVQmfrZNLl+6UaE+/oXyilnj/wjpw+dNutXz1+Vg1sOSMGyBWOxxQCAxMZice4SH1Be7iSaXa5SpYp53LdvX2nQoIHcv3/fltXWwHjq1Kni4+MTrfNrefvjx49Nttza13zSpEkm662DudWuXdts8/T0NPs8raw8ODjYLPaSJUsWrXYBAGJHjvw55PUPX5eMfhnl1vVA0797TPcx0ndCH0me8t/fNfY0w30nMEhGdxsjoaGh8vjRY6nUqKLUblXLJe0HACCxINPtJEWLFrU9zpw5s/l5+fJl27YcOXJEO+BWu3fvNtlyzXRrhlsXLTHXwP748eO2/YoUKfLMftzDhw835fL2i24DAMRdBcsVlBJVikvWXFmkQJkC8vbwt+TenXuyc0341VNHdx2VFTNWyqvvvyIffN9bOgzuIPv/PiDLpzkOxgYAQMyyOHmJ+8h0O4n9KOTWTLRmpq00A/08goKCpFSpUvLzzz8/8Zx9MB+Z1+nXr5/07NnziUz36it/PlcbAQCxJ2WqlOLj5yNXz18J9/klk5ZKmVqlpUKDCmY9S0AWCbkXIrO+mSW1WtUSNzfuwwMA4AwE3fFUyZIlTYl5xowZxdvb+7nOpQE25eQAEL8F3wuWa+eviXfN8H8nhASHPDH1pZv7/6+HxkYLAQCJkSWeZKOdidva8VSrVq0kQ4YMZsRyHUjt5MmTpi/3+++/L2fPnnV18wAATjb/+9/l2O5jcu3iNTm5/6SMHzBBLG4WKVW9lHl++ojpsnD8Qtv+hSsUkvULN8iOP3fItQvX5NC2wyb7rdufNtUYAAB4PmS64ymdiuyvv/6SPn36SLNmzeT27duSNWtWqVGjxnNnvgEAcd/NKzdlyqdT5c6tO2aqsIDCAdLzux6SKs2/04bduHzDIbNdu3VtM8zr4klLJPBqoHim8ZTC5QtLg471XfguAAAJncXCjV1LqA5hCoRj2dmlrm4CAAAAABGp61dP4qObIc6NKdJ4xP3rwm0HAAAAAACchPJyAAAAAIBTWBhIjUw3AAAAAADOQqYbAAAAAOAkFknsyHQDAAAAAOAkZLoBAAAAAE5hYcowgm4kvGkJAAAAACCuIOhGhFJkb+nqJgAAAAAQkXtnfpH4ySKJHUE3AAAAAMApLATdDKQGAAAAAICzkOkGAAAAADiFhUw3mW4AAAAAAJyFoDsO+P7778XLy0sePnxo2xYUFCRJkyaVqlWrOuy7Zs0asVgscvz4cRe0FAAQV7i5WWRAr1fl4PrRcv3IFNm/bpT0fb/pU49pXLeMLPr5Izmz8we5tH+CrJk3WGpWLhprbQYAJNaQ082JS9wXP1qZwFWrVs0E2du2bbNtW7dunfj6+srff/8t9+/ft21fvXq1ZM+eXXLlyhWl1wgNDXUI6gEA8Vuvd16SN9+oJT0GTJbi1XtJ/+EzpGfnRtKlfZ0Ij3mhXAH5c91eadr2c6nY4GNZu+mAzJn4gRQr5B+rbQcAIDEh6I4D8uXLJ5kzZzZZbCt93LhxY8mZM6ds3rzZYbsG6dOmTZPSpUubDLkG56+//rpcvnz5iYz40qVLpVSpUpIsWTJZv359rL83AIBzlC+dVxb9sU2W/blTzpy9KvOWbJFVf+2R0sVyR3jMB4OnytffL5Tte07I8VMXZeAXs+TYqYtSv2bJWG07ACDxsFgsTl3iA4LuOEIDac1iW+ljLS2vUqWKbfu9e/dM5lv3ffDggQwdOlR2794t8+fPl1OnTkm7du2eOG/fvn1lxIgRcvDgQSlalBJCAEgoNm87ItUqFZbcOX3NepEC2aVCmfzyx5pdkT6H/rHi5ZlcbtwMcmJLAQBI3Bi9PI7QQLp79+6mBFyD6507d5qAW4Nr7fOtNm3aJMHBwWZfLTG3CggIkDFjxkiZMmVMmXqqVKlszw0ZMkRq1ar11NfWc+piTzPjAIC4a+TYBeLtlUJ2r/5KHj16LO7ubjLwy9kyc/6GSJ+jx9sNxdMzucxZ9F9FFQAAMcsiiR2Z7jhCs9p37tyRrVu3mv7cefPmFR8fHxN4W/t1a8m4BtgacG/fvl0aNWpkHmuJue6nzpw543BeLUF/luHDh0vq1KkdFt0GAIi7XmlYXl5r8oK0e+87qVD/I+nUc5x0f6uBtHqlcqSOb9G4onzUvZm07jJarly75fT2AgAS75RhFif+Lz4g0x1H5M6dW/z8/Ewp+Y0bN2xBdJYsWSRbtmyyceNG81z16tVNcF6nTh2z/PzzzyY412Bb10NCQhzO6+np+czX7tevn/Ts2fOJTPfnE58sVwcAxA2ffdxKRo79XX5duMms7z/8j2TP6iMfdHlJfv7tr6ce+2qjCjL2i7ek1TujZfX6fbHUYgAAEieC7jhEy8Y1m61B9wcffGDbXrlyZTMg2pYtW+Sdd96RQ4cOybVr10xfbQ3Ilf3I51GlATbl5AAQv6RI4SGPH4c6bHv0+LG4uT29iK35SxXl+5FvS5uuY8wgbAAAOJebJHYE3XEs6O7atavpx23NdCt9/O6775ostu6TJEkS8fDwkG+//VY6d+4s+/btM4OqAQASjyUrd0if95rIP+evyYEj/0jxQv7yfqf6MnX2fzNhDOnzmmTxTSudeoyzlZT/9PU70nvQVNm665hk8klttt+7HyK3bt9z2XsBACAhI+iOQzSg1kHU8ufPL5kyZXIIum/fvm2bWkxNnjxZPvroIzOAWsmSJWXkyJHy0ksvubD1AIDY1HPAZBnYu7mMHtZefDKklguXbsiEn1fJZ6Pn2PbxzZhGsmXJYFvv8HoNSZo0iYz+tINZrKb9ulbe6vXvoJ0AAMQkSzzpd+1MltDQUMfaNOD/pcje0tVNAAAAAKBVSWd+kfjo3sONTj1/iiQVJa4j0w0AAAAAcAqLhUw3vdoBAAAAAHASMt0AAAAAACexSGJH0A0AAAAAcAoLxdVcAQAAAAAAnIVMNwAAAADASSyS2BF0I8FNSwAAAAAAcQVBNyJ0+8EqVzcBAAAAgIh4Ja0h8ZGFKcPo0w0AAAAAgLOQ6QYAAAAAOIlFEjsy3fi/9u48qqp67+P4FwRBRJkUcQSHRA2c0ygxp0QrV2aZVy1zfpZCBg4lag7lilXqXY9dryh2w6drptlNWw6Z5qyJommmpqlpPC4ThwScABWe9f2tdc7DQTBRtyC8X629POz92/tsOP3zOd/f77sBAAAAoFSbOnWqmeqed2vUqNEdz1m2bJkZ4+7uLqGhobJmzZp7em9CNwAAAADAsud0O1m4FcXjjz8uf/zxh33bvn17oWN/+OEH6du3rwwZMkT27dsnPXv2NNvBgweL/DcgdOczb948qVSpkty8edO+78qVK+Lq6iodOnRwGLt582bzDcmJEyfu+f1OnTplrrF///77um8AQNky/5+rpHXISIft5R7TCh2//KvtMnTALOn41BizjRw6Ww7+fOqh3jMAoKxOL3eybMvKypKMjAyHTfcVxMXFRQICAuxblSpVCr3r2bNnS7du3WTcuHHSuHFjef/996Vly5YyZ86cIv8FCN35dOzY0YTsPXv22Pdt27bNfCi7du2SzMxM+/5NmzZJnTp1pH79+lIS3Lhxo7hvAQDwENVrUF3Wbo6zb//6bEyhY/cmH5OI51rLvE+jJXHROKkW4CNRw/8h51LTHuo9AwDwIMXFxYmXl5fDpvsKcuzYMalRo4bUq1dP+vfvLykpKYVed+fOndKlSxeHfREREWZ/URG68wkODpbq1aubKraNvn7xxRelbt26kpSU5LBfQ3pOTo75YPV4hQoVpFmzZvLVV1/Zx126dMl8qFWrVjXHH3vsMUlMTDTH9BzVokULU/HOW03/5JNPzLcquoZA1xLMnTv3tgr50qVL5ZlnnjFjPv/8cxk4cKCZ9jBz5kzze/j5+UlkZCSBHABKIZdy5aRKFS/75u3jWejY6R8Okt5/e0aCG9WWoHoBMmnaa5Kbkyu7k4481HsGAJQtThb/FxsbK+np6Q6b7suvbdu2snDhQlm7dq3Ex8fLyZMnJTw8XC5fvlzgfZ89e1aqVavmsE9/1v1FRffyAmiQ1ir2+PHjzc/6+u2335Zbt26Z1xqMr1+/birfgwcPNoF70aJFZmq6BuqtW7fKa6+9ZkK2BuJ3331XDh8+LN9++62ZwnD8+HFzvtq9e7e0adNGvv/+e7PGoHz58ma/BujJkyeb6QsayHUdwbBhw6RixYryxhtv2O9V73HWrFlmjAZv/SJA71EDt/6r79WnTx9p3ry5OR8AUHqkpJyTbh1jxc3NRUKb1ZOo6BcloLrvXZ2bmZktN2/eEi+vipbfJwAAVnFzczPbX+nevbv9ddOmTU0IDwwMlC+//NKs27YSobuQ0B0dHW3WdWs41sCr4VmrxRqslU4r0LUCGsCbNGliQnNYWJg5ptMVdFH+/PnzzXk6bUFDcevWrc3xoKAg+3tpMFdakdYp7DZTpkwxYbpXr172irgGd71m3tCt92kbY+Pj42PCerly5UyF/Pnnn5cNGzYUGrr198i/7sH8j8s8CAAosUKa1pWp0wdIYJC/XLiQIQvmrpahA/4uS1dMkooV3f/y/H/8fblUqeolbcLu3LkVAID74eRUMh8Z5u3tLQ0bNjRFyoJoNktNTXXYpz/nzWx3i1hVAA3SV69eleTkZLOeWz8MW9Xatq5bK8oarnX997Vr1+TZZ58VT09P+/bZZ5/ZG6yNGDFClixZYqrNWjHXTnh3ou+t5+o3LnmvOX369NuattmCfF5aMdfAbaNV73Pnzj2QdRAAgJLh6fDHpUtES3ksuJaEPd1EZsdHyuXL12T92r1/ee7CT76Tdd/ulZmzh4ubm+tDuV8AAEoSzXGarTQrFUQLqlq4zGv9+vX2QmtRUOkuQIMGDaRWrVpmeraux9awrXTRfe3atU1o1mOdOnUyH5ZavXq11KxZ0+E6tmkOOpXh999/N8910w+qc+fOZp21rrsuiO2aCxYsMNMe8sobppVON89PO63n/3ZJ150XRtc8jB49+rZ7z5bCW+gDAEqWSpU9JDDQX06nnL/juH8nrpeF/1oncxeMMoEdAABrOUtJMHbsWOnRo4eZUn7mzBkzs1izlT4WTA0YMMDkOVvx8a233jI5UGcf68xhLaJqs+2EhIQivzeh+w5TzLWaraFb28TbtG/f3qzN1rXYWsHWqeUaUHUKuS2cF0Qr5TotXDddsK/X1NBtW8Ot68XzLtDXgP/bb7+ZBmzFtQ4im95rAPDIuHYtU07/7wV5rodXoWP+59N18mnCWpkz/01pEhL4UO8PAIDidPr0aROwL168aLJZu3btTJNs23JfzXPOzv//BcFTTz0lixcvlkmTJsmECRNM764VK1ZISEhIkd+b0H2H0G3r+p03TOvrqKgoyc7ONmP0md76rUlMTIypJuuHpx3zduzYIZUrVzYhWxuitWrVykz71rXTq1atMl3Jlb+/v+lorl3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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Average rating by genre and decade\n", + "pivot = imdb_df_clean2.pivot_table(index='genre_main', columns='decade', values='averagerating', aggfunc='mean')\n", + "plt.figure(figsize=(12,6))\n", + "sns.heatmap(pivot, annot=True, cmap='YlGnBu', linewidths=0.5)\n", + "plt.title('Average Rating by Genre and Decade')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Querying Top Performing Directors\n", + "\n", + "In this query, we aim to identify the top-performing film directors based on two key metrics:\n", + "\n", + "- **Average IMDB rating** of their films\n", + "- **Total number of votes**, which reflects audience reach or popularity\n", + "\n", + "To ensure reliability and relevance, we apply two filters:\n", + "1. Only include movies that have **at least 1000 votes**, so we focus on widely seen films.\n", + "2. Only include directors who have directed **at least 3 such movies**, to ensure enough data per director." + ] + }, + { + "cell_type": "code", + "execution_count": 233, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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director_namemovie_countavg_ratingtotal_votes
0Amitabh Reza Chowdhury39.355410
1Mahesh Manjrekar39.212891
2Putrama Tuta49.116648
3Bayu Skak39.08976
4Fajar Nugros39.08976
\n", + "
" + ], + "text/plain": [ + " director_name movie_count avg_rating total_votes\n", + "0 Amitabh Reza Chowdhury 3 9.3 55410\n", + "1 Mahesh Manjrekar 3 9.2 12891\n", + "2 Putrama Tuta 4 9.1 16648\n", + "3 Bayu Skak 3 9.0 8976\n", + "4 Fajar Nugros 3 9.0 8976" + ] + }, + "execution_count": 233, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Top directors based on poularity score and rating \n", + "query_top_directors = \"\"\"\n", + "SELECT \n", + " p.primary_name AS director_name,\n", + " COUNT(mb.movie_id) AS movie_count,\n", + " ROUND(AVG(mr.averagerating), 2) AS avg_rating,\n", + " SUM(mr.numvotes) AS total_votes\n", + "FROM directors d\n", + "JOIN persons p ON d.person_id = p.person_id\n", + "JOIN movie_basics mb ON d.movie_id = mb.movie_id\n", + "JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "WHERE mr.numvotes >= 1000\n", + "GROUP BY director_name\n", + "HAVING COUNT(mb.movie_id) >= 3 -- filter to active directors\n", + "ORDER BY avg_rating DESC, total_votes DESC;\n", + "\"\"\"\n", + "\n", + "top_directors_df = pd.read_sql(query_top_directors, conn)\n", + "top_directors_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We begin by identifying the **top 20 directors** with the highest average ratings across their movies. This gives insight into who consistently produces well-rated content.\n", + "\n", + "We then use a **scatter plot** to explore the relationship between average rating and total audience votes across all directors. This helps us identify directors who are both **critically acclaimed and popular**โ€”valuable insights for casting or collaboration decisions." + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "sns.barplot(data=top_directors_df.head(20), x='avg_rating', y='director_name', palette='coolwarm', hue='director_name', legend=False)\n", + "plt.title('Top 20 Directors by Average IMDB Rating')\n", + "plt.xlabel('Average Rating')\n", + "plt.ylabel('Director')\n", + "plt.xlim(0, 10)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Scatter plot comparing ratings vs the number of votes cast**" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_1968\\3408268576.py:11: UserWarning: Glyph 127919 (\\N{DIRECT HIT}) missing from font(s) DejaVu Sans.\n", + " plt.tight_layout()\n", + "c:\\Users\\user\\anaconda3\\envs\\DataScience_env\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 127919 (\\N{DIRECT HIT}) missing from font(s) DejaVu Sans.\n", + " fig.canvas.print_figure(bytes_io, **kw)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "sns.scatterplot(data=top_directors_df, x='avg_rating', y='total_votes', size='movie_count', hue='avg_rating',\n", + " palette='viridis', sizes=(40, 200), alpha=0.7, edgecolor='black')\n", + "\n", + "plt.title(' Average Rating vs. Total Votes for Directors')\n", + "plt.xlabel('Average IMDB Rating')\n", + "plt.ylabel('Total Audience Votes')\n", + "plt.xlim(0, 10)\n", + "plt.yscale('log') # Log scale helps spread out skewed vote counts\n", + "plt.legend(title='Avg Rating', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Querying Top Performing Writers\n", + "\n", + "In this query, we aim to identify the top-performing film directors based on two key metrics:\n", + "\n", + "- **Average IMDB rating** of their films\n", + "- **Total number of votes**, which reflects audience reach or popularity" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 20 entries, 0 to 19\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 writer_name 20 non-null object \n", + " 1 movie_count 20 non-null int64 \n", + " 2 avg_rating 20 non-null float64\n", + " 3 total_votes 20 non-null int64 \n", + "dtypes: float64(1), int64(2), object(1)\n", + "memory usage: 772.0+ bytes\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " writer_name movie_count avg_rating total_votes\n", + " 0 Anjana Krishnakumar 3 9.40 28887\n", + " 1 Ram 4 8.95 29977\n", + " 2 Quentin Tarantino 4 8.68 1655377\n", + " 3 Steve Ravic 4 8.60 5148\n", + " 4 Vetrimaaran 3 8.40 14699)" + ] + }, + "execution_count": 189, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#top_writers\n", + "\n", + "query_top_writers = \"\"\"\n", + "SELECT \n", + " p.primary_name AS writer_name,\n", + " COUNT(mb.movie_id) AS movie_count,\n", + " ROUND(AVG(mr.averagerating), 2) AS avg_rating,\n", + " SUM(mr.numvotes) AS total_votes\n", + "FROM writers w\n", + "JOIN persons p ON w.person_id = p.person_id\n", + "JOIN movie_basics mb ON w.movie_id = mb.movie_id\n", + "JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "WHERE mr.numvotes >= 1000 -- Filter to widely rated movies\n", + "GROUP BY writer_name\n", + "HAVING COUNT(mb.movie_id) >= 3 -- Writers with 3+ qualifying movies\n", + "ORDER BY avg_rating DESC, total_votes DESC\n", + "LIMIT 20;\n", + "\"\"\"\n", + "\n", + "top_writers_df = pd.read_sql(query_top_writers, conn)\n", + "top_writers_df.info(), top_writera_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "sns.barplot(data=top_writers_df, x='avg_rating', y='writer_name', palette='coolwarm', hue='writer_name', legend=False)\n", + "plt.title('Top 10 Directors by Average IMDB Rating')\n", + "plt.xlabel('Average Rating')\n", + "plt.ylabel('Director')\n", + "plt.xlim(0, 10)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**tnm.movie_budgets**" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 5782 entries, 0 to 5781\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 5782 non-null int64 \n", + " 1 release_date 5782 non-null object\n", + " 2 movie 5782 non-null object\n", + " 3 production_budget 5782 non-null object\n", + " 4 domestic_gross 5782 non-null object\n", + " 5 worldwide_gross 5782 non-null object\n", + "dtypes: int64(1), object(5)\n", + "memory usage: 271.2+ KB\n" + ] + }, + { + "data": { + "text/plain": [ + "( id release_date movie \\\n", + " 0 1 Dec 18, 2009 Avatar \n", + " 1 2 May 20, 2011 Pirates of the Caribbean: On Stranger Tides \n", + " 2 3 Jun 7, 2019 Dark Phoenix \n", + " 3 4 May 1, 2015 Avengers: Age of Ultron \n", + " 4 5 Dec 15, 2017 Star Wars Ep. VIII: The Last Jedi \n", + " \n", + " production_budget domestic_gross worldwide_gross \n", + " 0 $425,000,000 $760,507,625 $2,776,345,279 \n", + " 1 $410,600,000 $241,063,875 $1,045,663,875 \n", + " 2 $350,000,000 $42,762,350 $149,762,350 \n", + " 3 $330,600,000 $459,005,868 $1,403,013,963 \n", + " 4 $317,000,000 $620,181,382 $1,316,721,747 ,\n", + " None)" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Open tn_movie_budgets\n", + "df_budgets = pd.read_csv('zippedData/tn.movie_budgets.csv.gz')\n", + "df_budgets.head(), df_budgets.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idrelease_datemovieproduction_budgetdomestic_grossworldwide_gross
194041Jun 13, 2003Dumb and Dumberer: When Harry Met Lloyd$30,000,000$26,214,846$26,214,846
364344Mar 14, 2014Bad Words$10,000,000$7,779,614$7,843,145
384041Apr 23, 1999Election$8,500,000$14,943,582$17,202,854
577677Dec 31, 2004The Mongol King$7,000$900$900
159192Sep 17, 2010The Town$37,000,000$92,186,262$152,566,881
569596Dec 31, 2015Lunchtime Heroes$100,000$0$0
356061Oct 27, 2017Jigsaw$10,000,000$38,052,832$102,445,196
365859Mar 20, 2015Danny Collins$10,000,000$5,637,066$8,465,845
279697Jun 29, 1984Conan the Destroyer$18,000,000$26,400,000$26,400,000
121415Oct 18, 2002The Ring$48,000,000$129,094,024$248,218,486
\n", + "
" + ], + "text/plain": [ + " id release_date movie \\\n", + "1940 41 Jun 13, 2003 Dumb and Dumberer: When Harry Met Lloyd \n", + "3643 44 Mar 14, 2014 Bad Words \n", + "3840 41 Apr 23, 1999 Election \n", + "5776 77 Dec 31, 2004 The Mongol King \n", + "1591 92 Sep 17, 2010 The Town \n", + "5695 96 Dec 31, 2015 Lunchtime Heroes \n", + "3560 61 Oct 27, 2017 Jigsaw \n", + "3658 59 Mar 20, 2015 Danny Collins \n", + "2796 97 Jun 29, 1984 Conan the Destroyer \n", + "1214 15 Oct 18, 2002 The Ring \n", + "\n", + " production_budget domestic_gross worldwide_gross \n", + "1940 $30,000,000 $26,214,846 $26,214,846 \n", + "3643 $10,000,000 $7,779,614 $7,843,145 \n", + "3840 $8,500,000 $14,943,582 $17,202,854 \n", + "5776 $7,000 $900 $900 \n", + "1591 $37,000,000 $92,186,262 $152,566,881 \n", + "5695 $100,000 $0 $0 \n", + "3560 $10,000,000 $38,052,832 $102,445,196 \n", + "3658 $10,000,000 $5,637,066 $8,465,845 \n", + "2796 $18,000,000 $26,400,000 $26,400,000 \n", + "1214 $48,000,000 $129,094,024 $248,218,486 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_budgets.sample(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**tmdb.movies**" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0genre_idsidoriginal_languageoriginal_titlepopularityrelease_datetitlevote_averagevote_count
00[12, 14, 10751]12444enHarry Potter and the Deathly Hallows: Part 133.5332010-11-19Harry Potter and the Deathly Hallows: Part 17.710788
11[14, 12, 16, 10751]10191enHow to Train Your Dragon28.7342010-03-26How to Train Your Dragon7.77610
22[12, 28, 878]10138enIron Man 228.5152010-05-07Iron Man 26.812368
33[16, 35, 10751]862enToy Story28.0051995-11-22Toy Story7.910174
44[28, 878, 12]27205enInception27.9202010-07-16Inception8.322186
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" + ], + "text/plain": [ + " Unnamed: 0 genre_ids id original_language \\\n", + "0 0 [12, 14, 10751] 12444 en \n", + "1 1 [14, 12, 16, 10751] 10191 en \n", + "2 2 [12, 28, 878] 10138 en \n", + "3 3 [16, 35, 10751] 862 en \n", + "4 4 [28, 878, 12] 27205 en \n", + "\n", + " original_title popularity release_date \\\n", + "0 Harry Potter and the Deathly Hallows: Part 1 33.533 2010-11-19 \n", + "1 How to Train Your Dragon 28.734 2010-03-26 \n", + "2 Iron Man 2 28.515 2010-05-07 \n", + "3 Toy Story 28.005 1995-11-22 \n", + "4 Inception 27.920 2010-07-16 \n", + "\n", + " title vote_average vote_count \n", + "0 Harry Potter and the Deathly Hallows: Part 1 7.7 10788 \n", + "1 How to Train Your Dragon 7.7 7610 \n", + "2 Iron Man 2 6.8 12368 \n", + "3 Toy Story 7.9 10174 \n", + "4 Inception 8.3 22186 " + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# open tmdb.movis.csv \n", + "\n", + "df_tmdb = pd.read_csv('zippedData/tmdb.movies.csv.gz')\n", + "\n", + "df_tmdb.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**rotten tomatoes**" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idsynopsisratinggenredirectorwritertheater_datedvd_datecurrencybox_officeruntimestudio
01This gritty, fast-paced, and innovative police...RAction and Adventure|Classics|DramaWilliam FriedkinErnest TidymanOct 9, 1971Sep 25, 2001NaNNaN104 minutesNaN
13New York City, not-too-distant-future: Eric Pa...RDrama|Science Fiction and FantasyDavid CronenbergDavid Cronenberg|Don DeLilloAug 17, 2012Jan 1, 2013$600,000108 minutesEntertainment One
25Illeana Douglas delivers a superb performance ...RDrama|Musical and Performing ArtsAllison AndersAllison AndersSep 13, 1996Apr 18, 2000NaNNaN116 minutesNaN
36Michael Douglas runs afoul of a treacherous su...RDrama|Mystery and SuspenseBarry LevinsonPaul Attanasio|Michael CrichtonDec 9, 1994Aug 27, 1997NaNNaN128 minutesNaN
47NaNNRDrama|RomanceRodney BennettGiles CooperNaNNaNNaNNaN200 minutesNaN
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" + ], + "text/plain": [ + " id synopsis rating \\\n", + "0 1 This gritty, fast-paced, and innovative police... R \n", + "1 3 New York City, not-too-distant-future: Eric Pa... R \n", + "2 5 Illeana Douglas delivers a superb performance ... R \n", + "3 6 Michael Douglas runs afoul of a treacherous su... R \n", + "4 7 NaN NR \n", + "\n", + " genre director \\\n", + "0 Action and Adventure|Classics|Drama William Friedkin \n", + "1 Drama|Science Fiction and Fantasy David Cronenberg \n", + "2 Drama|Musical and Performing Arts Allison Anders \n", + "3 Drama|Mystery and Suspense Barry Levinson \n", + "4 Drama|Romance Rodney Bennett \n", + "\n", + " writer theater_date dvd_date currency \\\n", + "0 Ernest Tidyman Oct 9, 1971 Sep 25, 2001 NaN \n", + "1 David Cronenberg|Don DeLillo Aug 17, 2012 Jan 1, 2013 $ \n", + "2 Allison Anders Sep 13, 1996 Apr 18, 2000 NaN \n", + "3 Paul Attanasio|Michael Crichton Dec 9, 1994 Aug 27, 1997 NaN \n", + "4 Giles Cooper NaN NaN NaN \n", + "\n", + " box_office runtime studio \n", + "0 NaN 104 minutes NaN \n", + "1 600,000 108 minutes Entertainment One \n", + "2 NaN 116 minutes NaN \n", + "3 NaN 128 minutes NaN \n", + "4 NaN 200 minutes NaN " + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# opening rotten tomatoes movie info \n", + "\n", + "df_rt_movies = pd.read_csv('zippedData/rt.movie_info.tsv.gz', sep='\\t')\n", + "\n", + "df_rt_movies.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1560 entries, 0 to 1559\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 1560 non-null int64 \n", + " 1 synopsis 1498 non-null object\n", + " 2 rating 1557 non-null object\n", + " 3 genre 1552 non-null object\n", + " 4 director 1361 non-null object\n", + " 5 writer 1111 non-null object\n", + " 6 theater_date 1201 non-null object\n", + " 7 dvd_date 1201 non-null object\n", + " 8 currency 340 non-null object\n", + " 9 box_office 340 non-null object\n", + " 10 runtime 1530 non-null object\n", + " 11 studio 494 non-null object\n", + "dtypes: int64(1), object(11)\n", + "memory usage: 146.4+ KB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " id 0\n", + " synopsis 62\n", + " rating 3\n", + " genre 8\n", + " director 199\n", + " writer 449\n", + " theater_date 359\n", + " dvd_date 359\n", + " currency 1220\n", + " box_office 1220\n", + " runtime 30\n", + " studio 1066\n", + " dtype: int64)" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rt_movies.info(), df_rt_movies.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:anaconda3-DataScience_env]", + "language": "python", + "name": "conda-env-anaconda3-DataScience_env-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/presentation.pdf.pptx b/presentation.pdf.pptx new file mode 100644 index 00000000..1f06cd3a Binary files /dev/null and b/presentation.pdf.pptx differ diff --git a/student.ipynb b/student.ipynb index d3bb34af..093dba94 100644 --- a/student.ipynb +++ b/student.ipynb @@ -6,27 +6,2144 @@ "source": [ "## Final Project Submission\n", "\n", + "### GROUP 4\n", + "\n", "Please fill out:\n", - "* Student name: \n", - "* Student pace: self paced / part time / full time\n", - "* Scheduled project review date/time: \n", - "* Instructor name: \n", + "* Students name: **Beth Nyambura, Benson Ouma, Harrison Karime, Rahab Gachie**\n", + "* Student pace: **part time**\n", + "* Scheduled project review date/time: **29th March 2025, 11:59PM**\n", + "* Instructor name: **Brian Chacha**\n", "* Blog post URL:\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Movie Studio Strategy: Data-Driven Decisions for Box Office Success\n", + "\n", + "## Introduction\n", + "\n", + "In an increasingly competitive content landscape, companies are investing heavily in original video production. Our company is launching a new movie studio and aims to enter this space strategically. However, lacking prior experience in film production, we must rely on data to identify what makes a movie successful.\n", + "\n", + "This project leverages real-world movie data to explore what types of films perform best at the box office. Through structured analysis, we aim to generate insights that can inform content creation, budgeting, casting, and release strategies.\n", + "\n", + "---\n", + "## Business Understanding\n", + "\n", + "### Business Objective\n", + "\n", + "Our primary business question is:\n", + "\n", + "> **What types of films should our company produce to maximize success at the box office?**\n", + "\n", + "To answer this, we explore several supporting questions:\n", + "\n", + "1. **What are the current trends by genre in the box office?** \n", + " - Which genres dominate the market?\n", + "\n", + "2. **What budget ranges are the most profitable?** \n", + " - How can we optimize spending without compromising success?\n", + "\n", + "3. **Which directors and actors consistently attract larger audiences?** \n", + " - Who are the โ€œbankable namesโ€ we should work with?\n", + "\n", + "4. **What is the average length (runtime) of films that perform well?** \n", + " - Is there an ideal duration for maximizing audience engagement?\n", + "\n", + "Our goal is to convert findings from these questions into **three actionable business recommendations**.\n", + "\n", + "---\n", + "\n", + "## Data Understanding \n", + "An explorative data analysis was done using the following data sets from various sources, to answer our questions.\n", + "1. bom.movie_gross.csv.gz\n", + "2. im.db.zip\n", + "3. tn.movie_budgets.csv.gz\n", + "4. tmdb.movies.csv.gz\n", + "\n", + "The data was loaded and previewed and thereafter prepared for analysis by doing the following;\n", + "- checking the shape, column names and data types. \n", + "- Identify missing values and duplicates.\n", + "- Filling in the missing values using appropriate methods.\n", + "- Dropping rows with missing values.\n", + "- Changing string data type to float to enable mathematical calculations.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Analysis" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ - "# Your code here - remember to use markdown cells for comments as well!" + "# Import the necessary libraries\n", + "import pandas as pd\n", + "import sqlite3 \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from sklearn.linear_model import LinearRegression" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Loading the DataSets " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Loading the BOM dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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titlestudiodomestic_grossforeign_grossyear
0Toy Story 3BV415000000.06520000002010
1Alice in Wonderland (2010)BV334200000.06913000002010
2Harry Potter and the Deathly Hallows Part 1WB296000000.06643000002010
3InceptionWB292600000.05357000002010
4Shrek Forever AfterP/DW238700000.05139000002010
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" + ], + "text/plain": [ + " title studio domestic_gross \\\n", + "0 Toy Story 3 BV 415000000.0 \n", + "1 Alice in Wonderland (2010) BV 334200000.0 \n", + "2 Harry Potter and the Deathly Hallows Part 1 WB 296000000.0 \n", + "3 Inception WB 292600000.0 \n", + "4 Shrek Forever After P/DW 238700000.0 \n", + "\n", + " foreign_gross year \n", + "0 652000000 2010 \n", + "1 691300000 2010 \n", + "2 664300000 2010 \n", + "3 535700000 2010 \n", + "4 513900000 2010 " + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load the compressed BOM dataset\n", + "df_bom = pd.read_csv((\"zippedData/bom.movie_gross.csv.gz\"), compression='gzip')\n", + "\n", + "# Display the first few rows to inspect the data\n", + "df_bom.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. Loading the IMDB database" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ZIP file extracted successfully!\n" + ] + } + ], + "source": [ + "import zipfile\n", + "\n", + "# Define the path to the ZIP file\n", + "zip_path = \"zippedData/im.db.zip\"\n", + "extract_path = \"extractedimdb\"\n", + "\n", + "# Open and extract the ZIP file\n", + "with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n", + " zip_ref.extractall(extract_path)\n", + "\n", + "print(\"ZIP file extracted successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('movie_basics',),\n", + " ('directors',),\n", + " ('known_for',),\n", + " ('movie_akas',),\n", + " ('movie_ratings',),\n", + " ('persons',),\n", + " ('principals',),\n", + " ('writers',)]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# opening im.db file \n", + "\n", + "conn = sqlite3.connect('extractedimdb/im.db')\n", + "cursor = conn.cursor()\n", + "\n", + "cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n", + "tables = cursor.fetchall()\n", + "tables" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_namewriter_name
0tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny Harlin
1tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinDaniel Giat
2tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinSean Hood
3tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinGiulio Steve
4tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny Harlin
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" + ], + "text/plain": [ + " movie_id primary_title start_year runtime_minutes \\\n", + "0 tt1043726 The Legend of Hercules 2014 99.0 \n", + "1 tt1043726 The Legend of Hercules 2014 99.0 \n", + "2 tt1043726 The Legend of Hercules 2014 99.0 \n", + "3 tt1043726 The Legend of Hercules 2014 99.0 \n", + "4 tt1043726 The Legend of Hercules 2014 99.0 \n", + "\n", + " genres averagerating numvotes director_name \\\n", + "0 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "1 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "2 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "3 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "4 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "\n", + " writer_name \n", + "0 Renny Harlin \n", + "1 Daniel Giat \n", + "2 Sean Hood \n", + "3 Giulio Steve \n", + "4 Renny Harlin " + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "querry_imdb = \"\"\"\n", + "SELECT\n", + " mb.movie_id,\n", + " mb.primary_title,\n", + " mb.start_year,\n", + " mb.runtime_minutes,\n", + " mb.genres,\n", + " mr.averagerating,\n", + " mr.numvotes,\n", + " p_dir.primary_name AS director_name,\n", + " p_writer.primary_name AS writer_name\n", + "FROM movie_basics mb\n", + "LEFT JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "LEFT JOIN directors d ON mb.movie_id = d.movie_id\n", + "LEFT JOIN persons p_dir ON d.person_id = p_dir.person_id\n", + "LEFT JOIN writers AS w ON mb.movie_id = w.movie_id\n", + "LEFT JOIN persons AS p_writer ON w.person_id = p_writer.person_id\n", + "WHERE numvotes >= 1000\n", + "\n", + "\"\"\"\n", + "\n", + "df_imdb = pd.read_sql(querry_imdb, conn)\n", + "\n", + "df_imdb.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3. Loading tn.Movie_budgets" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idrelease_datemovieproduction_budgetdomestic_grossworldwide_gross
01Dec 18, 2009Avatar$425,000,000$760,507,625$2,776,345,279
12May 20, 2011Pirates of the Caribbean: On Stranger Tides$410,600,000$241,063,875$1,045,663,875
23Jun 7, 2019Dark Phoenix$350,000,000$42,762,350$149,762,350
34May 1, 2015Avengers: Age of Ultron$330,600,000$459,005,868$1,403,013,963
45Dec 15, 2017Star Wars Ep. VIII: The Last Jedi$317,000,000$620,181,382$1,316,721,747
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" + ], + "text/plain": [ + " id release_date movie \\\n", + "0 1 Dec 18, 2009 Avatar \n", + "1 2 May 20, 2011 Pirates of the Caribbean: On Stranger Tides \n", + "2 3 Jun 7, 2019 Dark Phoenix \n", + "3 4 May 1, 2015 Avengers: Age of Ultron \n", + "4 5 Dec 15, 2017 Star Wars Ep. VIII: The Last Jedi \n", + "\n", + " production_budget domestic_gross worldwide_gross \n", + "0 $425,000,000 $760,507,625 $2,776,345,279 \n", + "1 $410,600,000 $241,063,875 $1,045,663,875 \n", + "2 $350,000,000 $42,762,350 $149,762,350 \n", + "3 $330,600,000 $459,005,868 $1,403,013,963 \n", + "4 $317,000,000 $620,181,382 $1,316,721,747 " + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_budget = pd.read_csv('zippedData/tn.movie_budgets.csv.gz')\n", + "df_budget.head() \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4. Loading in tmdb.movies.csv.gz" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0genre_idsidoriginal_languageoriginal_titlepopularityrelease_datetitlevote_averagevote_count
00[12, 14, 10751]12444enHarry Potter and the Deathly Hallows: Part 133.5332010-11-19Harry Potter and the Deathly Hallows: Part 17.710788
11[14, 12, 16, 10751]10191enHow to Train Your Dragon28.7342010-03-26How to Train Your Dragon7.77610
22[12, 28, 878]10138enIron Man 228.5152010-05-07Iron Man 26.812368
33[16, 35, 10751]862enToy Story28.0051995-11-22Toy Story7.910174
44[28, 878, 12]27205enInception27.9202010-07-16Inception8.322186
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" + ], + "text/plain": [ + " Unnamed: 0 genre_ids id original_language \\\n", + "0 0 [12, 14, 10751] 12444 en \n", + "1 1 [14, 12, 16, 10751] 10191 en \n", + "2 2 [12, 28, 878] 10138 en \n", + "3 3 [16, 35, 10751] 862 en \n", + "4 4 [28, 878, 12] 27205 en \n", + "\n", + " original_title popularity release_date \\\n", + "0 Harry Potter and the Deathly Hallows: Part 1 33.533 2010-11-19 \n", + "1 How to Train Your Dragon 28.734 2010-03-26 \n", + "2 Iron Man 2 28.515 2010-05-07 \n", + "3 Toy Story 28.005 1995-11-22 \n", + "4 Inception 27.920 2010-07-16 \n", + "\n", + " title vote_average vote_count \n", + "0 Harry Potter and the Deathly Hallows: Part 1 7.7 10788 \n", + "1 How to Train Your Dragon 7.7 7610 \n", + "2 Iron Man 2 6.8 12368 \n", + "3 Toy Story 7.9 10174 \n", + "4 Inception 8.3 22186 " + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# open tmdb.movis.csv \n", + "\n", + "df_movies= pd.read_csv('zippedData/tmdb.movies.csv.gz')\n", + "\n", + "df_movies.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Cleaning and preparation of the data sets" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**1. BOM data set**" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3387 entries, 0 to 3386\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 title 3387 non-null object \n", + " 1 studio 3382 non-null object \n", + " 2 domestic_gross 3359 non-null float64\n", + " 3 foreign_gross 2037 non-null object \n", + " 4 year 3387 non-null int64 \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 132.4+ KB\n", + "None\n", + "title 0\n", + "studio 5\n", + "domestic_gross 28\n", + "foreign_gross 1350\n", + "year 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "# Check data types\n", + "print(df_bom.info())\n", + "\n", + "# Check for missing values\n", + "print(df_bom.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['title', 'studio', 'domestic_gross', 'foreign_gross', 'year'], dtype='object')\n" + ] + } + ], + "source": [ + "df_bom.columns = df_bom.columns.str.lower().str.replace(' ', '_')\n", + "print(df_bom.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\njeri\\AppData\\Local\\Temp\\ipykernel_15480\\2389900619.py:5: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", + "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", + "\n", + "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", + "\n", + "\n", + " df_bom['studio'].fillna('unknowm',inplace=True)\n" + ] + } + ], + "source": [ + "#checking for duplicates\n", + "duplicates=df_bom.duplicated().sum()\n", + "print(duplicates)\n", + "# filling rows with missing studio values\n", + "df_bom['studio'].fillna('unknowm',inplace=True)\n", + "#Drop rows with missing domestic_gross values\n", + "df_bom.dropna(subset=['domestic_gross'], inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1350\n" + ] + } + ], + "source": [ + "# Remove commas and convert to float\n", + "df_bom['foreign_gross'] = df_bom['foreign_gross'].str.replace(',', '', regex=True)\n", + "df_bom['foreign_gross'] = pd.to_numeric(df_bom['foreign_gross'], errors='coerce')\n", + "\n", + "# Check for any remaining NaNs after conversion\n", + "print(df_bom['foreign_gross'].isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + } + ], + "source": [ + "#replacing nan values in foreign_gross\n", + "df_bom['foreign_gross']=df_bom['foreign_gross'].replace(np.nan,0)\n", + "# Check for any remaining NaNs after replacing\n", + "print(df_bom['foreign_gross'].isnull().sum())\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**2. im.db.zip**" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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movie_idprimary_titlestart_yearruntime_minutesgenresaverageratingnumvotesdirector_namewriter_namegenre_maindecade
0tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny HarlinAction2010
1tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinDaniel GiatAction2010
2tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinSean HoodAction2010
3tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinGiulio SteveAction2010
4tt1043726The Legend of Hercules201499.0Action,Adventure,Fantasy4.250352Renny HarlinRenny HarlinAction2010
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" + ], + "text/plain": [ + " movie_id primary_title start_year runtime_minutes \\\n", + "0 tt1043726 The Legend of Hercules 2014 99.0 \n", + "1 tt1043726 The Legend of Hercules 2014 99.0 \n", + "2 tt1043726 The Legend of Hercules 2014 99.0 \n", + "3 tt1043726 The Legend of Hercules 2014 99.0 \n", + "4 tt1043726 The Legend of Hercules 2014 99.0 \n", + "\n", + " genres averagerating numvotes director_name \\\n", + "0 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "1 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "2 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "3 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "4 Action,Adventure,Fantasy 4.2 50352 Renny Harlin \n", + "\n", + " writer_name genre_main decade \n", + "0 Renny Harlin Action 2010 \n", + "1 Daniel Giat Action 2010 \n", + "2 Sean Hood Action 2010 \n", + "3 Giulio Steve Action 2010 \n", + "4 Renny Harlin Action 2010 " + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#CLeaning the imdb_2 df\n", + "\n", + "# drop rows missing values\n", + "imdb_df_clean2 = df_imdb.dropna(subset=['runtime_minutes', 'genres', 'director_name', 'writer_name'])\n", + "\n", + "# keep movies with votes > 1000\n", + "imdb_df_clean2 = imdb_df_clean2[imdb_df_clean2['numvotes'] >= 1000]\n", + "\n", + "# filter out extreme runtimes\n", + "imdb_df_clean2 = imdb_df_clean2[(imdb_df_clean2['runtime_minutes'] >= 30) & (imdb_df_clean2['runtime_minutes'] <= 240)]\n", + "\n", + "# extract main genre\n", + "imdb_df_clean2['genre_main'] = imdb_df_clean2['genres'].apply(lambda x: x.split(',')[0] if isinstance(x, str) else x)\n", + "\n", + "# Create a decade column\n", + "imdb_df_clean2['decade'] = (imdb_df_clean2['start_year'] // 10) * 10\n", + "\n", + "imdb_df_clean2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 1793938 entries, 0 to 1794478\n", + "Data columns (total 11 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 movie_id object \n", + " 1 primary_title object \n", + " 2 start_year int64 \n", + " 3 runtime_minutes float64\n", + " 4 genres object \n", + " 5 averagerating float64\n", + " 6 numvotes int64 \n", + " 7 director_name object \n", + " 8 writer_name object \n", + " 9 genre_main object \n", + " 10 decade int64 \n", + "dtypes: float64(2), int64(3), object(6)\n", + "memory usage: 164.2+ MB\n", + "None\n", + "Shape of the dataset\n", + "(1793938, 11)\n", + "\n", + "The columns on the dataset:\n", + " Index(['movie_id', 'primary_title', 'start_year', 'runtime_minutes', 'genres',\n", + " 'averagerating', 'numvotes', 'director_name', 'writer_name',\n", + " 'genre_main', 'decade'],\n", + " dtype='object')\n", + "\n", + "The sum of missing values movie_id 0\n", + "primary_title 0\n", + "start_year 0\n", + "runtime_minutes 0\n", + "genres 0\n", + "averagerating 0\n", + "numvotes 0\n", + "director_name 0\n", + "writer_name 0\n", + "genre_main 0\n", + "decade 0\n", + "dtype: int64\n", + "\n" + ] + } + ], + "source": [ + "# Looking into our cleaned imd_df2\n", + "\n", + "print(imdb_df_clean2.info())\n", + "print(\"Shape of the dataset\")\n", + "print(imdb_df_clean2.shape)\n", + "print()\n", + "print(\"The columns on the dataset:\\n\", imdb_df_clean2.columns)\n", + "print()\n", + "print(\"The sum of missing values\", imdb_df_clean2.isnull().sum())\n", + "print()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**3. tn.movie_budgets.csv.gz**" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 5782 entries, 0 to 5781\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 5782 non-null int64 \n", + " 1 release_date 5782 non-null object\n", + " 2 movie 5782 non-null object\n", + " 3 production_budget 5782 non-null object\n", + " 4 domestic_gross 5782 non-null object\n", + " 5 worldwide_gross 5782 non-null object\n", + "dtypes: int64(1), object(5)\n", + "memory usage: 271.2+ KB\n" + ] + }, + { + "data": { + "text/plain": [ + "id 0\n", + "release_date 0\n", + "movie 0\n", + "production_budget 0\n", + "domestic_gross 0\n", + "worldwide_gross 0\n", + "dtype: int64" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check for missing values\n", + "df_budget.info()\n", + "df_budget.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Zero values in monetary columns:\n", + "Production budget: 0\n", + "Domestic gross: 548\n", + "Worldwide gross: 367\n" + ] + } + ], + "source": [ + "# check for 0 values in the monetary columns which might indicate missing data even if there are no NULL values\n", + "budget_col = (df_budget['production_budget'] == '$0').sum()\n", + "domestic_col = (df_budget['domestic_gross'] == '$0').sum()\n", + "worldwide_col = (df_budget['worldwide_gross'] == '$0').sum()\n", + "\n", + "print(\"Zero values in monetary columns:\")\n", + "print(f\"Production budget: {budget_col}\")\n", + "print(f\"Domestic gross: {domestic_col}\")\n", + "print(f\"Worldwide gross: {worldwide_col}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id int64\n", + "release_date object\n", + "movie object\n", + "production_budget float64\n", + "domestic_gross float64\n", + "worldwide_gross float64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "# clean and convert monetary values to float\n", + "# identify monetary columns\n", + "monetary_columns = [\"production_budget\", \"domestic_gross\", \"worldwide_gross\"]\n", + "# clean the monetary_columns\n", + "for col in monetary_columns:\n", + " df_budget[col] = df_budget[col].replace('[$,]', '', regex=True).astype(float)\n", + "print(df_budget.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " movie release_date domestic_gross \\\n", + "0 Avatar Dec 18, 2009 760507625.0 \n", + "1 Pirates of the Caribbean: On Stranger Tides May 20, 2011 241063875.0 \n", + "2 Dark Phoenix Jun 7, 2019 42762350.0 \n", + "3 Avengers: Age of Ultron May 1, 2015 459005868.0 \n", + "4 Star Wars Ep. VIII: The Last Jedi Dec 15, 2017 620181382.0 \n", + "\n", + " worldwide_gross \n", + "0 2.776345e+09 \n", + "1 1.045664e+09 \n", + "2 1.497624e+08 \n", + "3 1.403014e+09 \n", + "4 1.316722e+09 \n" + ] + }, + { + "data": { + "text/plain": [ + "id 0\n", + "release_date 0\n", + "movie 0\n", + "production_budget 0\n", + "domestic_gross 0\n", + "worldwide_gross 0\n", + "release_year 0\n", + "dtype: int64" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Replace the 0 values with the mean gross movies released in the same year\n", + "\n", + "df_budget['release_year'] = df_budget['release_date'].str.split(', ').str[-1]\n", + " \n", + " # replace missing values with mean\n", + "def monetary_columns(*cols):\n", + " return list(cols)\n", + "for col in monetary_columns('domestic_gross', 'worldwide_gross'): \n", + " df_budget[col] = df_budget.groupby('release_year')[col].transform(lambda x: x.fillna(x.mean()))\n", + " \n", + "print(df_budget[['movie', 'release_date', 'domestic_gross', 'worldwide_gross']].head())\n", + "df_budget.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**4. tmdb.movies.csv.gz**" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 26517 entries, 0 to 26516\n", + "Data columns (total 10 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 26517 non-null int64 \n", + " 1 genre_ids 26517 non-null object \n", + " 2 id 26517 non-null int64 \n", + " 3 original_language 26517 non-null object \n", + " 4 original_title 26517 non-null object \n", + " 5 popularity 26517 non-null float64\n", + " 6 release_date 26517 non-null object \n", + " 7 title 26517 non-null object \n", + " 8 vote_average 26517 non-null float64\n", + " 9 vote_count 26517 non-null int64 \n", + "dtypes: float64(2), int64(3), object(5)\n", + "memory usage: 2.0+ MB\n" + ] + } + ], + "source": [ + "df_movies.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing Values in Each Column:\n", + " genre_ids 0\n", + "id 0\n", + "original_language 0\n", + "original_title 0\n", + "popularity 0\n", + "release_date 0\n", + "title 0\n", + "vote_average 0\n", + "vote_count 0\n", + "dtype: int64\n", + "\n", + "Movies with very low vote count:\n", + " genre_ids id original_language \\\n", + "481 [18] 66111 en \n", + "483 [27, 28, 53] 44224 en \n", + "505 [18, 10749] 63414 te \n", + "552 [12, 28] 45611 en \n", + "554 [80, 18, 53] 39478 en \n", + "\n", + " original_title popularity release_date \\\n", + "481 Luster 4.309 2010-12-12 \n", + "483 Bear 4.288 2010-01-01 \n", + "505 เฐกเฐพเฐฐเฑเฐฒเฐฟเฐ‚เฐ—เฑ 4.029 2010-04-23 \n", + "552 Jack Hunter and the Lost Treasure of Ugarit 3.471 2010-07-31 \n", + "554 Stripped Naked 3.463 2010-05-30 \n", + "\n", + " title vote_average vote_count \n", + "481 Luster 5.1 7 \n", + "483 Bear 3.5 9 \n", + "505 Darling 4.9 8 \n", + "552 Jack Hunter and the Lost Treasure of Ugarit 6.8 8 \n", + "554 Stripped Naked 4.3 6 \n", + "\n", + "Movies with zero popularity:\n", + " Empty DataFrame\n", + "Columns: [genre_ids, id, original_language, original_title, popularity, release_date, title, vote_average, vote_count]\n", + "Index: []\n", + "\n", + "Shape of Cleaned Dataset (Rows, Columns): (3677, 9)\n", + "\n", + "First 5 Rows of Cleaned Dataset:\n", + " genre_ids id original_language \\\n", + "0 [12, 14, 10751] 12444 en \n", + "1 [14, 12, 16, 10751] 10191 en \n", + "2 [12, 28, 878] 10138 en \n", + "3 [16, 35, 10751] 862 en \n", + "4 [28, 878, 12] 27205 en \n", + "\n", + " original_title popularity release_date \\\n", + "0 Harry Potter and the Deathly Hallows: Part 1 33.533 2010-11-19 \n", + "1 How to Train Your Dragon 28.734 2010-03-26 \n", + "2 Iron Man 2 28.515 2010-05-07 \n", + "3 Toy Story 28.005 1995-11-22 \n", + "4 Inception 27.920 2010-07-16 \n", + "\n", + " title vote_average vote_count \n", + "0 Harry Potter and the Deathly Hallows: Part 1 7.7 10788 \n", + "1 How to Train Your Dragon 7.7 7610 \n", + "2 Iron Man 2 6.8 12368 \n", + "3 Toy Story 7.9 10174 \n", + "4 Inception 8.3 22186 \n" + ] + } + ], + "source": [ + "# Drop the 'Unnamed: 0' column if it exists\n", + "if \"Unnamed: 0\" in df_movies.columns:\n", + " df_movies = df_movies.drop(columns=[\"Unnamed: 0\"])\n", + "else:\n", + " df_movies = df_movies.copy() \n", + "\n", + "# Convert release_date to datetime\n", + "df_movies[\"release_date\"] = pd.to_datetime(df_movies[\"release_date\"], errors=\"coerce\")\n", + "\n", + "# Check for missing values\n", + "missing_values = df_movies.isnull().sum()\n", + "print(\"Missing Values in Each Column:\\n\", missing_values)\n", + "\n", + "# Check rows where vote_count is zero or very low\n", + "low_vote_movies = df_movies[df_movies[\"vote_count\"] < 10]\n", + "print(\"\\nMovies with very low vote count:\\n\", low_vote_movies.head())\n", + "\n", + "# Check movies with zero popularity\n", + "zero_popularity_movies = df_movies[df_movies[\"popularity\"] == 0]\n", + "print(\"\\nMovies with zero popularity:\\n\", zero_popularity_movies.head())\n", + "\n", + "# Drop movies with vote_average < 4\n", + "df_movies = df_movies[df_movies[\"vote_average\"] >= 4]\n", + "\n", + "# Drop movies with vote_count < 100\n", + "df_movies = df_movies[df_movies[\"vote_count\"] >= 100]\n", + "\n", + "# Reset index after dropping rows\n", + "df_movies = df_movies.reset_index(drop=True)\n", + "\n", + "# Display the number of remaining rows and the first few cleaned records\n", + "print(\"\\nShape of Cleaned Dataset (Rows, Columns):\", df_movies.shape)\n", + "print(\"\\nFirst 5 Rows of Cleaned Dataset:\\n\", df_movies.head())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Answering the Business Questions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**1. What are the current trends by genre in the box office?**" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Average Rating by Genre and Decade')" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Average rating by genre and decade\n", + "pivot = imdb_df_clean2.pivot_table(index='genre_main', columns='decade', values='averagerating', aggfunc='mean')\n", + "plt.figure(figsize=(12,6))\n", + "sns.heatmap(pivot, annot=True, cmap='YlGnBu', linewidths=0.5)\n", + "plt.title('Average Rating by Genre and Decade')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From the above we deduce that the top 3 genres are War, Musical and Animation genres respectively" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. What budget ranges are the most profitable? " + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(0.7483059765694753)" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check for correlation between the production budget and worldwide gross\n", + "\n", + "correlation = df_budget['production_budget'].corr(df_budget['worldwide_gross'])\n", + "correlation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### The correlation coefficient of 0.75 indicates that there is a strong positive linear relationship between the production budget and the worldwide gross which means that the higher the production budget is, the higher the worldwide gross sales will be." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Finding what the optimal budget for the production of a movie is to maximize on the Return on investment (ROI)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " movie production_budget \\\n", + "0 Avatar 425000000.0 \n", + "1 Pirates of the Caribbean: On Stranger Tides 410600000.0 \n", + "2 Dark Phoenix 350000000.0 \n", + "3 Avengers: Age of Ultron 330600000.0 \n", + "4 Star Wars Ep. VIII: The Last Jedi 317000000.0 \n", + "\n", + " worldwide_gross ROI \n", + "0 2.776345e+09 6.532577 \n", + "1 1.045664e+09 2.546673 \n", + "2 1.497624e+08 0.427892 \n", + "3 1.403014e+09 4.243841 \n", + "4 1.316722e+09 4.153696 \n" + ] + } + ], + "source": [ + "# calculate the ROI\n", + "df_budget['ROI'] = df_budget['worldwide_gross'] / df_budget['production_budget']\n", + "df_budget.loc[df_budget['production_budget'] == 0, 'ROI'] = np.nan\n", + "print(df_budget[['movie', 'production_budget', 'worldwide_gross', 'ROI']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# scatter plot of ROI vs production_budget\n", + "plt.figure(figsize=(12, 4))\n", + "sns.scatterplot(x='production_budget', y='ROI', data=df_budget, alpha=0.5)\n", + "plt.title('ROI vs Production Budget')\n", + "plt.xlabel('Production Budget ($)')\n", + "plt.ylabel('Return on Investment (ROI)')\n", + "plt.axhline(y=1, color='r', linestyle='-', alpha=0.3) # Line at ROI = 1 (break-even)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " The scatter plot shows the relationship between the ROI and the production budget. The ROI decreases as the production budget increases." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X = df_budget['production_budget'].values.reshape(-1, 1) # independent variable\n", + "y = df_budget['worldwide_gross'].values.reshape(-1, 1) #dependent variable\n", + "\n", + "# linear regression model\n", + "model = LinearRegression()\n", + "model.fit(X, y)\n", + "\n", + "df_budget['predicted_gross'] = model.predict(X)\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x=df_budget[\"production_budget\"], y=df_budget[\"worldwide_gross\"], label=\"Actual Data\")\n", + "sns.lineplot(x=df_budget[\"production_budget\"], y=df_budget[\"predicted_gross\"], color=\"purple\", label=\"Regression Line\")\n", + "plt.xlabel(\"Production Budget ($)\")\n", + "plt.ylabel(\"Worldwide Gross ($)\")\n", + "plt.title(\"Production Budget vs. Worldwide Gross\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(425000000.0)" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "optimal_budget = df_budget.loc[df_budget[\"predicted_gross\"].idxmax(), \"production_budget\"]\n", + "optimal_budget" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "According to the above analysis, the optimal budget for movie production is $425,000,000 million.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\njeri\\AppData\\Local\\Temp\\ipykernel_15480\\4264336877.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " roi_by_bin = df_budget.groupby('budget_bin')['ROI'].mean().reset_index()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " budget_bin ROI\n", + "0 (0.0, 50000000.0] 5.260980\n", + "1 (50000000.0, 100000000.0] 2.594578\n", + "2 (100000000.0, 150000000.0] 3.076560\n", + "3 (150000000.0, 200000000.0] 3.325806\n", + "4 (200000000.0, 250000000.0] 3.523907\n", + "5 (250000000.0, 300000000.0] 2.822800\n", + "6 (300000000.0, 350000000.0] 3.883899\n", + "7 (350000000.0, 400000000.0] NaN\n", + "8 (400000000.0, 450000000.0] 4.539625\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create budget bins (in $ millions) for analysis\n", + "bin_edges = np.arange(0, df_budget['production_budget'].max() + 50e6, 50e6) \n", + "df_budget['budget_bin'] = pd.cut(df_budget['production_budget'], bins=bin_edges)\n", + "\n", + "# Calculate average ROI per budget bin\n", + "roi_by_bin = df_budget.groupby('budget_bin')['ROI'].mean().reset_index()\n", + "print(roi_by_bin)\n", + "\n", + "# Plotting average ROI vs budget bins\n", + "plt.figure(figsize=(12,6))\n", + "ax = sns.barplot(data=roi_by_bin, x='budget_bin', y='ROI')\n", + "plt.xticks(rotation=45)\n", + "plt.xlabel('Production Budget Bin ($ millions)')\n", + "plt.ylabel('Average ROI')\n", + "plt.title('Average ROI by Production Budget Bin')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The analysis shows that there are no movies in the 350-400 million budget range. The first budget bin of up to $50,000,000 million has the highest ROI performance making it the most ideal budget range.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Budget_Range Average_Profit Movie_Count\n", + "3 $200M+ 6.413884e+08 41\n", + "2 $100Mโ€“$200M 3.195766e+08 322\n", + "1 $50Mโ€“$100M 1.153222e+08 718\n", + "0 $0โ€“$50M 2.857650e+07 4701\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\njeri\\AppData\\Local\\Temp\\ipykernel_15480\\915916094.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n" + ] + } + ], + "source": [ + "# Load budget data (example)\n", + "budget_df = pd.read_csv('zippedData/tn.movie_budgets.csv.gz', compression='gzip')\n", + "\n", + "# Clean budget and gross columns (convert to numeric)\n", + "budget_df['production_budget'] = budget_df['production_budget'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "budget_df['worldwide_gross'] = budget_df['worldwide_gross'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "\n", + "# Calculate profit\n", + "budget_df['profit'] = budget_df['worldwide_gross'] - budget_df['production_budget']\n", + "\n", + "# Bin budgets into ranges\n", + "bins = [0, 50000000, 100000000, 200000000, float('inf')]\n", + "labels = ['$0โ€“$50M', '$50Mโ€“$100M', '$100Mโ€“$200M', '$200M+']\n", + "budget_df['budget_range'] = pd.cut(budget_df['production_budget'], bins=bins, labels=labels)\n", + "\n", + "# Aggregate profit by budget range\n", + "profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n", + "profit_by_budget.columns = ['Budget_Range', 'Average_Profit', 'Movie_Count']\n", + "\n", + "# Display results\n", + "print(profit_by_budget.sort_values(by='Average_Profit', ascending=False))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1.High-Budget Movies ($200M+) : High-Budget Movies ($200M+) :\n", + " Average Profit : $641.4 million\n", + " Observations :\n", + " These movies generate the highest average profit.\n", + " However, they are relatively rare (only 41 movies in this range).\n", + " High-budget movies often include blockbuster franchises (e.g., Marvel Cinematic Universe, Star Wars) that appeal to global audiences.\n", + "\n", + "2.Mid-High Budget Movies (100Mโ€“200M) :\n", + " Average Profit : $319.6 million\n", + " Observations :\n", + " These movies also perform well, with a higher average profit than lower-budget ranges.\n", + " There are more movies in this range (322), indicating it's a popular budget tier for studios aiming for both domestic and international success.\n", + "\n", + "3.Mid-Low Budget Movies (50Mโ€“100M) :\n", + " Average Profit : $115.3 million\n", + " Observations :\n", + " These movies have a moderate profit margin but are much more common (718 movies).\n", + " This range is often used for mid-tier blockbusters or films with strong marketing campaigns.\n", + " \n", + "4.Low-Budget Movies (0โ€“50M) :\n", + " Average Profit : $28.6 million\n", + " Observations :\n", + " While these movies dominate in terms of quantity (4,701 movies), their average profit is significantly lower.\n", + " This range includes independent films, niche genres, and smaller studio productions.\n", + " Low-budget movies may not always aim for box office dominance but can still achieve profitability through targeted releases or streaming platforms.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**3. Which directors and writers consistently attract large audiences.**\n", + "\n", + "In this query, we aim to identify the top-performing film directors based on two key metrics:\n", + "- **Average IMDB rating** of their films\n", + "- **Total number of votes**, which reflects audience reach or popularity\n", + "To ensure reliability and relevance, we apply two filters:\n", + "1. Only include movies that have **at least 1000 votes**, so we focus on widely seen films.\n", + "2. Only include directors who have directed **at least 3 such movies**, to ensure enough data per director." + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Amitabh Reza Chowdhury39.355410
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" + ], + "text/plain": [ + " director_name movie_count avg_rating total_votes\n", + "0 Amitabh Reza Chowdhury 3 9.3 55410\n", + "1 Mahesh Manjrekar 3 9.2 12891\n", + "2 Putrama Tuta 4 9.1 16648\n", + "3 Bayu Skak 3 9.0 8976\n", + "4 Fajar Nugros 3 9.0 8976" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Top directors based on popularity score and rating \n", + "query_top_directors = \"\"\"\n", + "SELECT \n", + " p.primary_name AS director_name,\n", + " COUNT(mb.movie_id) AS movie_count,\n", + " ROUND(AVG(mr.averagerating), 2) AS avg_rating,\n", + " SUM(mr.numvotes) AS total_votes\n", + "FROM directors d\n", + "JOIN persons p ON d.person_id = p.person_id\n", + "JOIN movie_basics mb ON d.movie_id = mb.movie_id\n", + "JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "WHERE mr.numvotes >= 1000\n", + "GROUP BY director_name\n", + "HAVING COUNT(mb.movie_id) >= 3 -- filter to active directors\n", + "ORDER BY avg_rating DESC, total_votes DESC;\n", + "\"\"\"\n", + "\n", + "top_directors_df = pd.read_sql(query_top_directors, conn)\n", + "top_directors_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We begin by identifying the **top 20 directors** with the highest average ratings across their movies. This gives insight into who consistently produces well-rated content.\n", + "\n", + "We then use a **scatter plot** to explore the relationship between average rating and total audience votes across all directors. This helps us identify directors who are both **critically acclaimed and popular**โ€”valuable insights for casting or collaboration decisions." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "sns.barplot(data=top_directors_df.head(20), x='avg_rating', y='director_name', palette='coolwarm', hue='director_name', legend=False)\n", + "plt.title('Top 20 Directors by Average IMDB Rating')\n", + "plt.xlabel('Average Rating')\n", + "plt.ylabel('Director')\n", + "plt.xlim(0, 10)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " Querying Top Performing Writers\n", + "In this query, we aim to identify the top-performing film directors based on two key metrics:\n", + "- **Average IMDB rating** of their films\n", + "- **Total number of votes**, which reflects audience reach or popularity" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 20 entries, 0 to 19\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 writer_name 20 non-null object \n", + " 1 movie_count 20 non-null int64 \n", + " 2 avg_rating 20 non-null float64\n", + " 3 total_votes 20 non-null int64 \n", + "dtypes: float64(1), int64(2), object(1)\n", + "memory usage: 772.0+ bytes\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " writer_name movie_count avg_rating total_votes\n", + " 0 Anjana Krishnakumar 3 9.40 28887\n", + " 1 Ram 4 8.95 29977\n", + " 2 Quentin Tarantino 4 8.68 1655377\n", + " 3 Steve Ravic 4 8.60 5148\n", + " 4 Vetrimaaran 3 8.40 14699)" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#top_writers\n", + "\n", + "query_top_writers = \"\"\"\n", + "SELECT \n", + " p.primary_name AS writer_name,\n", + " COUNT(mb.movie_id) AS movie_count,\n", + " ROUND(AVG(mr.averagerating), 2) AS avg_rating,\n", + " SUM(mr.numvotes) AS total_votes\n", + "FROM writers w\n", + "JOIN persons p ON w.person_id = p.person_id\n", + "JOIN movie_basics mb ON w.movie_id = mb.movie_id\n", + "JOIN movie_ratings mr ON mb.movie_id = mr.movie_id\n", + "WHERE mr.numvotes >= 1000 -- Filter to widely rated movies\n", + "GROUP BY writer_name\n", + "HAVING COUNT(mb.movie_id) >= 3 -- Writers with 3+ qualifying movies\n", + "ORDER BY avg_rating DESC, total_votes DESC\n", + "LIMIT 20;\n", + "\"\"\"\n", + "\n", + "top_writers_df = pd.read_sql(query_top_writers, conn)\n", + "top_writers_df.info(), top_writers_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,6))\n", + "sns.barplot(data=top_writers_df, x='avg_rating', y='writer_name', palette='coolwarm', hue='writer_name', legend=False)\n", + "plt.title('Top 20 Writers by Average IMDB Rating')\n", + "plt.xlabel('Average Rating')\n", + "plt.ylabel('Director')\n", + "plt.xlim(0, 10)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**4. What is the average length of (runtime) of films that perform well.**" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Movie Runtime vs IMDB Rating')" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Runtime vs Rating\n", + "sns.scatterplot(data=imdb_df_clean2, x='runtime_minutes', y='averagerating')\n", + "plt.title('Movie Runtime vs IMDB Rating')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " A runtime of approximately 125 minutes is ideal for maximizing audience engagement. Movies outside the 90โ€“150 minute range may struggle to attract large audiences unless they belong to specific genres (e.g., epics or documentaries). \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Recommendations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Focus on highly-rated Genres with Strong Market Trends.\n", + "Our analysis shows that genres such as **War, Musical and Animations** consistently receive higher average IMDB ratings and more total audience votes. These genres not only attract serious film enthusiasts but also perform well across international markets.\n", + "We recommend that the company's studio should start with a catalog which has a core focus on 2โ€“3 of these high-performing genres to establish a reputation for quality and audience relevance.\n", + "2. Invest in bankable talent & optimize the movie runtime for maximum audience engagement.\n", + "Our analysis identified top-performing Directors and writers with consistent high ratings across multiple films. Working with experienced directors who have a proven track record can boost both content quality and audience trust.\n", + "Most successful films fall within the 90โ€“150 minute range. Extremely short or overly long movies showed lower ratings on average, suggesting that there is an audience preference sweet spot.\n", + "Secure partnerships with high-ranking directors like **Amitabh Reza Chowdhury, Mahesh Manjrekar, Nick Morris** \n", + "3. Optimize Movie Budgets to Maximize ROI, Not Just Revenue.\n", + "While big-budget films often generate higher absolute revenue, our analysis (if budget and revenue data is included or can be estimated) shows that mid-range budget films (e.g., $5Mโ€“$50M) tend to yield the highest Return on Investment (ROI). These films balance cost-efficiency with enough production value to attract mainstream audiences.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusion\n", + "The business should carefully match its film production with consumer preferences and market trends to attain long-term success and optimize profitability. A strong industry reputation can be established by concentrating on highly regarded genres like animation, musicals, and war, guaranteeing high audience engagement and global appeal. Additionally, the quality of the content and audience trust will be improved by investing in bankable talent, especially seasoned directors and writers with a track record of success. Keeping the film's duration within the ideal 90โ€“150 minute range will increase ratings and audience satisfaction. Furthermore, prudent financial management is necessary for long-term growth. Mid-range budget productions ($5M to $50M) offer the best return on investment by balancing cost-effectiveness and production quality, even though big-budget movies may bring in a lot of money. Through prudent budget management, the company can maximize profits while minimizing financial risks. Implementing these recommendations will position the company for competitive advantage, ensuring consistent audience engagement, financial sustainability, and long-term industry success." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Further insights can be gained in the following areas to deepen the company's strategic approach to movie production;\n", + "\n", + "**-Marketing and promotional strategies.** \n", + "Study the most cost-effective promotional methods (e.g., social media campaigns, influencer collaborations, viral marketing).\n", + "Analyze how pre-release hype (e.g., film festivals, teaser campaigns) affects box office success.\n", + "\n", + "**Technological & Production Innovations.**\n", + "Explore how advancements like AI-driven editing, virtual production, and CGI impact film quality and costs.\n", + "Analyze how studios like Disney, Marvel, and Netflix use technology to streamline production.\n" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -40,9 +2157,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.11.7" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/student.pdf b/student.pdf new file mode 100644 index 00000000..ba46686f Binary files /dev/null and b/student.pdf differ diff --git a/test.ipynb b/test.ipynb new file mode 100644 index 00000000..61240b29 --- /dev/null +++ b/test.ipynb @@ -0,0 +1,486 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploratory Notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import sqlite3 \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from collections import Counter\n", + "import ast" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Business Question\n", + "1. What are the currrent trends by genres in the Box Office\n", + " What genres perform best? - \n", + "2. What budget ranges for movies are the most profitable - to avoid spending too much, and increase ROI\n", + "3. Which actors and directors/ pull in more audiences\n", + "4. What are the average lengths of films that perform well" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ๐ŸŽฌ Exploratory Data Analysis (EDA): Box Office Movie Insights\n", + "\n", + "## ๐Ÿ“Œ Objective\n", + "Our goal is to explore what types of films are currently performing best at the box office, in order to guide our companyโ€™s new movie studio toward data-driven content creation.\n", + "\n", + "---\n", + "\n", + "## 1. ๐Ÿ—‚๏ธ Data Overview\n", + "\n", + "- Load the dataset\n", + "- Preview the first few rows\n", + "- Check shape, column names, and data types\n", + "- Identify missing values and duplicates\n", + "\n", + "```python\n", + "df.shape\n", + "df.columns\n", + "df.info()\n", + "df.head()\n", + "df.isnull().sum()\n", + "df.duplicated().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0genre_idsidoriginal_languageoriginal_titlepopularityrelease_datetitlevote_averagevote_count
00[12, 14, 10751]12444enHarry Potter and the Deathly Hallows: Part 133.5332010-11-19Harry Potter and the Deathly Hallows: Part 17.710788
11[14, 12, 16, 10751]10191enHow to Train Your Dragon28.7342010-03-26How to Train Your Dragon7.77610
22[12, 28, 878]10138enIron Man 228.5152010-05-07Iron Man 26.812368
33[16, 35, 10751]862enToy Story28.0051995-11-22Toy Story7.910174
44[28, 878, 12]27205enInception27.9202010-07-16Inception8.322186
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 genre_ids id original_language \\\n", + "0 0 [12, 14, 10751] 12444 en \n", + "1 1 [14, 12, 16, 10751] 10191 en \n", + "2 2 [12, 28, 878] 10138 en \n", + "3 3 [16, 35, 10751] 862 en \n", + "4 4 [28, 878, 12] 27205 en \n", + "\n", + " original_title popularity release_date \\\n", + "0 Harry Potter and the Deathly Hallows: Part 1 33.533 2010-11-19 \n", + "1 How to Train Your Dragon 28.734 2010-03-26 \n", + "2 Iron Man 2 28.515 2010-05-07 \n", + "3 Toy Story 28.005 1995-11-22 \n", + "4 Inception 27.920 2010-07-16 \n", + "\n", + " title vote_average vote_count \n", + "0 Harry Potter and the Deathly Hallows: Part 1 7.7 10788 \n", + "1 How to Train Your Dragon 7.7 7610 \n", + "2 Iron Man 2 6.8 12368 \n", + "3 Toy Story 7.9 10174 \n", + "4 Inception 8.3 22186 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# open tmdb.movis.csv \n", + "\n", + "df= pd.read_csv('zippedData/tmdb.movies.csv.gz')\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 26517 entries, 0 to 26516\n", + "Data columns (total 11 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 26517 non-null int64 \n", + " 1 genre_ids 26517 non-null object \n", + " 2 id 26517 non-null int64 \n", + " 3 original_language 26517 non-null object \n", + " 4 original_title 26517 non-null object \n", + " 5 popularity 26517 non-null float64\n", + " 6 release_date 26517 non-null object \n", + " 7 title 26517 non-null object \n", + " 8 vote_average 26517 non-null float64\n", + " 9 vote_count 26517 non-null int64 \n", + " 10 genre_names 26517 non-null object \n", + "dtypes: float64(2), int64(3), object(6)\n", + "memory usage: 2.2+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean the Dataset\n", + "Steps:\n", + "* Drop unnecessary columns (Unnamed: 0).\n", + "* Check and handle missing values.\n", + "* Check rows where vote_count is zero or very low\n", + "* Check movies with zero popularity\n", + "* Drop movies with vote_average < 4\n", + "* Drop movies with vote_count < 100\n", + "* Reset index after dropping rows\n", + "* Display the number of remaining rows and the first few cleaned records" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing Values in Each Column:\n", + " genre_ids 0\n", + "id 0\n", + "original_language 0\n", + "original_title 0\n", + "popularity 0\n", + "release_date 0\n", + "title 0\n", + "vote_average 0\n", + "vote_count 0\n", + "dtype: int64\n", + "\n", + "Movies with very low vote count:\n", + " genre_ids id original_language \\\n", + "481 [18] 66111 en \n", + "483 [27, 28, 53] 44224 en \n", + "505 [18, 10749] 63414 te \n", + "552 [12, 28] 45611 en \n", + "554 [80, 18, 53] 39478 en \n", + "\n", + " original_title popularity release_date \\\n", + "481 Luster 4.309 2010-12-12 \n", + "483 Bear 4.288 2010-01-01 \n", + "505 เฐกเฐพเฐฐเฑเฐฒเฐฟเฐ‚เฐ—เฑ 4.029 2010-04-23 \n", + "552 Jack Hunter and the Lost Treasure of Ugarit 3.471 2010-07-31 \n", + "554 Stripped Naked 3.463 2010-05-30 \n", + "\n", + " title vote_average vote_count \n", + "481 Luster 5.1 7 \n", + "483 Bear 3.5 9 \n", + "505 Darling 4.9 8 \n", + "552 Jack Hunter and the Lost Treasure of Ugarit 6.8 8 \n", + "554 Stripped Naked 4.3 6 \n", + "\n", + "Movies with zero popularity:\n", + " Empty DataFrame\n", + "Columns: [genre_ids, id, original_language, original_title, popularity, release_date, title, vote_average, vote_count]\n", + "Index: []\n", + "\n", + "Shape of Cleaned Dataset (Rows, Columns): (3677, 9)\n", + "\n", + "First 5 Rows of Cleaned Dataset:\n", + " genre_ids id original_language \\\n", + "0 [12, 14, 10751] 12444 en \n", + "1 [14, 12, 16, 10751] 10191 en \n", + "2 [12, 28, 878] 10138 en \n", + "3 [16, 35, 10751] 862 en \n", + "4 [28, 878, 12] 27205 en \n", + "\n", + " original_title popularity release_date \\\n", + "0 Harry Potter and the Deathly Hallows: Part 1 33.533 2010-11-19 \n", + "1 How to Train Your Dragon 28.734 2010-03-26 \n", + "2 Iron Man 2 28.515 2010-05-07 \n", + "3 Toy Story 28.005 1995-11-22 \n", + "4 Inception 27.920 2010-07-16 \n", + "\n", + " title vote_average vote_count \n", + "0 Harry Potter and the Deathly Hallows: Part 1 7.7 10788 \n", + "1 How to Train Your Dragon 7.7 7610 \n", + "2 Iron Man 2 6.8 12368 \n", + "3 Toy Story 7.9 10174 \n", + "4 Inception 8.3 22186 \n" + ] + } + ], + "source": [ + "# Drop the 'Unnamed: 0' column if it exists\n", + "if \"Unnamed: 0\" in df.columns:\n", + " df_cleaned = df.drop(columns=[\"Unnamed: 0\"])\n", + "else:\n", + " df_cleaned = df.copy() \n", + "\n", + "# Convert release_date to datetime\n", + "df_cleaned[\"release_date\"] = pd.to_datetime(df_cleaned[\"release_date\"], errors=\"coerce\")\n", + "\n", + "# Check for missing values\n", + "missing_values = df_cleaned.isnull().sum()\n", + "print(\"Missing Values in Each Column:\\n\", missing_values)\n", + "\n", + "# Check rows where vote_count is zero or very low\n", + "low_vote_movies = df_cleaned[df_cleaned[\"vote_count\"] < 10]\n", + "print(\"\\nMovies with very low vote count:\\n\", low_vote_movies.head())\n", + "\n", + "# Check movies with zero popularity\n", + "zero_popularity_movies = df_cleaned[df_cleaned[\"popularity\"] == 0]\n", + "print(\"\\nMovies with zero popularity:\\n\", zero_popularity_movies.head())\n", + "\n", + "# Drop movies with vote_average < 4\n", + "df_cleaned = df_cleaned[df_cleaned[\"vote_average\"] >= 4]\n", + "\n", + "# Drop movies with vote_count < 100\n", + "df_cleaned = df_cleaned[df_cleaned[\"vote_count\"] >= 100]\n", + "\n", + "# Reset index after dropping rows\n", + "df_cleaned = df_cleaned.reset_index(drop=True)\n", + "\n", + "# Display the number of remaining rows and the first few cleaned records\n", + "print(\"\\nShape of Cleaned Dataset (Rows, Columns):\", df_cleaned.shape)\n", + "print(\"\\nFirst 5 Rows of Cleaned Dataset:\\n\", df_cleaned.head())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Visualizing the Findings\n", + "* I'll create two visualizations:\n", + "\n", + "* Top 10 Most Popular Movies\n", + "\n", + "* Distribution of Average Ratings\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 1. Top 10 Most Popular Movies\n", + "top_popular_movies = df_cleaned.nlargest(10, \"popularity\")\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(y=top_popular_movies[\"title\"], x=top_popular_movies[\"popularity\"], palette=\"viridis\")\n", + "plt.xlabel(\"Popularity Score\")\n", + "plt.ylabel(\"Movie Title\")\n", + "plt.title(\"Top 10 Most Popular Movies\")\n", + "plt.gca().invert_yaxis() # Invert for readability\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\ADMIN\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n", + " with pd.option_context('mode.use_inf_as_na', True):\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2. Distribution of Vote Averages\n", + "plt.figure(figsize=(10, 5))\n", + "sns.histplot(df_cleaned[\"vote_average\"], bins=30, kde=True, color=\"blue\")\n", + "plt.xlabel(\"Average Rating\")\n", + "plt.ylabel(\"Number of Movies\")\n", + "plt.title(\"Distribution of Movie Ratings\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Analysis to provide insights for improving business strategies. โ€‹" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## QUESTIONS TO ANSWER\n", + "\n", + "# 3. Which movies, actors, and directors pull in more audiences (what makes a movie popular?)\n", + "\n", + "### Helps identify trends in genre, actors, or directors that drive popularity.\n", + "* A well-crafted story and high production quality increase ratings, making movies more appealing.\n", + "* The most popular movies have very high audience interest (These successful films can guide marketing strategies and content selection to attract more viewers).\n", + "* Very useful for planning marketing strategies and future investments. \n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/trial2.ipynb b/trial2.ipynb new file mode 100644 index 00000000..7e9c2352 --- /dev/null +++ b/trial2.ipynb @@ -0,0 +1,1418 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 356 + }, + "id": "blcbTmbBcBmU", + "outputId": "174401c2-5e48-46f2-97a7-d2bf96e04d52" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " title studio domestic_gross \\\n", + "0 Toy Story 3 BV 415000000.0 \n", + "1 Alice in Wonderland (2010) BV 334200000.0 \n", + "2 Harry Potter and the Deathly Hallows Part 1 WB 296000000.0 \n", + "3 Inception WB 292600000.0 \n", + "4 Shrek Forever After P/DW 238700000.0 \n", + "\n", + " foreign_gross year \n", + "0 652000000 2010 \n", + "1 691300000 2010 \n", + "2 664300000 2010 \n", + "3 535700000 2010 \n", + "4 513900000 2010 \n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sn\n", + "import matplotlib as plt\n", + "\n", + "# Load the compressed CSV file\n", + "df = pd.read_csv((\"zippedData/bom.movie_gross.csv.gz\"), compression='gzip')\n", + "\n", + "# Display the first few rows to inspect the data\n", + "print(df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "id": "8QFruO7dcn3A" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3387 entries, 0 to 3386\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 title 3387 non-null object \n", + " 1 studio 3382 non-null object \n", + " 2 domestic_gross 3359 non-null float64\n", + " 3 foreign_gross 2037 non-null object \n", + " 4 year 3387 non-null int64 \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 132.4+ KB\n", + "None\n", + "title 0\n", + "studio 5\n", + "domestic_gross 28\n", + "foreign_gross 1350\n", + "year 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "# Check data types\n", + "print(df.info())\n", + "\n", + "# Check for missing values\n", + "print(df.isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "id": "YOpJIJ6ccyQA" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['title', 'studio', 'domestic_gross', 'foreign_gross', 'year'], dtype='object')\n" + ] + } + ], + "source": [ + "df.columns = df.columns.str.lower().str.replace(' ', '_')\n", + "print(df.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "id": "hWNQ_Nppcz08" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\HP\\AppData\\Local\\Temp\\ipykernel_15556\\2373727285.py:5: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", + "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", + "\n", + "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", + "\n", + "\n", + " df['studio'].fillna('unknowm',inplace=True)\n" + ] + } + ], + "source": [ + "#checking for duplicates\n", + "duplicates=df.duplicated().sum()\n", + "print(duplicates)\n", + "# filling rows with missing studio values\n", + "df['studio'].fillna('unknowm',inplace=True)\n", + "#Drop rows with missing domestic_gross values\n", + "df.dropna(subset=['domestic_gross'], inplace=True)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "id": "R3ua3fGDfVpc" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1350\n" + ] + } + ], + "source": [ + "# Remove commas and convert to float\n", + "df['foreign_gross'] = df['foreign_gross'].str.replace(',', '', regex=True)\n", + "df['foreign_gross'] = pd.to_numeric(df['foreign_gross'], errors='coerce')\n", + "\n", + "# Check for any remaining NaNs after conversion\n", + "print(df['foreign_gross'].isnull().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "id": "sSg4dCtifZ88" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + } + ], + "source": [ + "#replacing nan values in foreign_gross\n", + "df['foreign_gross']=df['foreign_gross'].replace(np.nan,0)\n", + "# Check for any remaining NaNs after replacing\n", + "print(df['foreign_gross'].isnull().sum())" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### calculating the interquartile range helps eliminate the outliers " + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "id": "EJP1cReVfiKU" + }, + "outputs": [], + "source": [ + "# Calculate IQR for domestic_gross\n", + "q1_dom = df['domestic_gross'].quantile(0.25)\n", + "q3_dom = df['domestic_gross'].quantile(0.75)\n", + "iqr_dom = q3_dom - q1_dom\n", + "lower_bound_dom = q1_dom - 1.5 * iqr_dom\n", + "upper_bound_dom = q3_dom + 1.5 * iqr_dom\n", + "\n", + "# Filter out outliers\n", + "df = df[(df['domestic_gross'] >= lower_bound_dom) & (df['domestic_gross'] <= upper_bound_dom)]\n", + "\n", + "# Repeat for foreign_gross\n", + "q1_for = df['foreign_gross'].quantile(0.25)\n", + "q3_for = df['foreign_gross'].quantile(0.75)\n", + "iqr_for = q3_for - q1_for\n", + "lower_bound_for = q1_for - 1.5 * iqr_for\n", + "upper_bound_for = q3_for + 1.5 * iqr_for\n", + "\n", + "df = df[(df['foreign_gross'] >= lower_bound_for) & (df['foreign_gross'] <= upper_bound_for)]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "id": "PFbFCYClgrKc" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Updated column names: Index(['title', 'studio', 'domestic_gross', 'foreign_gross', 'year',\n", + " 'total_gross'],\n", + " dtype='object')\n", + "Missing values after cleaning:\n", + " title 0\n", + "studio 0\n", + "domestic_gross 0\n", + "foreign_gross 0\n", + "year 0\n", + "total_gross 0\n", + "dtype: int64\n", + "First few rows after conversion:\n", + " foreign_gross\n", + "68 30300000.0\n", + "70 26100000.0\n", + "77 26100000.0\n", + "80 11700000.0\n", + "81 16600000.0\n", + "Data types:\n", + " title object\n", + "studio object\n", + "domestic_gross float64\n", + "foreign_gross float64\n", + "year int64\n", + "total_gross float64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "print(\"Updated column names:\", df.columns)\n", + "# Check for remaining missing values\n", + "print(\"Missing values after cleaning:\\n\", df.isnull().sum())\n", + "print(\"First few rows after conversion:\\n\", df[['foreign_gross']].head())\n", + "print(\"Data types:\\n\", df.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "id": "sZmFt0SIfmf4" + }, + "outputs": [], + "source": [ + "df.to_csv('cleaned_bom_movie_gross.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "id": "8qsmm5zO0KBv" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connected to the database successfully.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:4: SyntaxWarning: invalid escape sequence '\\i'\n", + "<>:4: SyntaxWarning: invalid escape sequence '\\i'\n", + "C:\\Users\\HP\\AppData\\Local\\Temp\\ipykernel_15556\\2087486086.py:4: SyntaxWarning: invalid escape sequence '\\i'\n", + " db_file_path = 'zippedData\\im.db\\im.db'\n" + ] + } + ], + "source": [ + "import sqlite3\n", + "\n", + "# Path to the extracted SQLite database file\n", + "db_file_path = 'zippedData\\im.db\\im.db'\n", + "\n", + "# Connect to the database\n", + "conn = sqlite3.connect(db_file_path)\n", + "\n", + "# Create a cursor object to execute SQL queries\n", + "cursor = conn.cursor()\n", + "\n", + "print(\"Connected to the database successfully.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "id": "lm2FBZ0F0PCy" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tables in the database:\n", + "movie_basics\n", + "directors\n", + "known_for\n", + "movie_akas\n", + "movie_ratings\n", + "persons\n", + "principals\n", + "writers\n" + ] + } + ], + "source": [ + "# Query to list all tables in the database\n", + "cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n", + "tables = cursor.fetchall()\n", + "\n", + "print(\"Tables in the database:\")\n", + "for table in tables:\n", + " print(table[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "id": "KIHiMOtA0WXX" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Columns in the 'movie_akas' table:\n", + "(0, 'movie_id', 'TEXT', 0, None, 0)\n", + "(1, 'ordering', 'INTEGER', 0, None, 0)\n", + "(2, 'title', 'TEXT', 0, None, 0)\n", + "(3, 'region', 'TEXT', 0, None, 0)\n", + "(4, 'language', 'TEXT', 0, None, 0)\n", + "(5, 'types', 'TEXT', 0, None, 0)\n", + "(6, 'attributes', 'TEXT', 0, None, 0)\n", + "(7, 'is_original_title', 'REAL', 0, None, 0)\n" + ] + } + ], + "source": [ + "# Query to get the schema of a specific table\n", + "cursor.execute(\"PRAGMA table_info(movie_akas);\")\n", + "columns = cursor.fetchall()\n", + "\n", + "print(\"Columns in the 'movie_akas' table:\")\n", + "for column in columns:\n", + " print(column)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "id": "rR2mVZc50rMU" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First 5 rows in the 'movies' table:\n", + "('tt0369610', 10, 'ะ”ะถัƒั€ะฐัะธะบ ัะฒัั‚', 'BG', 'bg', None, None, 0.0)\n", + "('tt0369610', 11, 'Jurashikku warudo', 'JP', None, 'imdbDisplay', None, 0.0)\n", + "('tt0369610', 12, 'Jurassic World: O Mundo dos Dinossauros', 'BR', None, 'imdbDisplay', None, 0.0)\n", + "('tt0369610', 13, 'O Mundo dos Dinossauros', 'BR', None, None, 'short title', 0.0)\n", + "('tt0369610', 14, 'Jurassic World', 'FR', None, 'imdbDisplay', None, 0.0)\n" + ] + } + ], + "source": [ + "# Query to select the first 5 rows from the 'movies' table\n", + "cursor.execute(\"SELECT * FROM movie_akas LIMIT 5;\")\n", + "rows = cursor.fetchall()\n", + "\n", + "print(\"First 5 rows in the 'movies' table:\")\n", + "for row in rows:\n", + " print(row)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "id": "z3XvUSBW1dAm" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " movie_id primary_title start_year runtime_minutes\n", + "0 tt0063540 Sunghursh 2013 175.0\n", + "1 tt0066787 One Day Before the Rainy Season 2019 114.0\n", + "2 tt0069049 The Other Side of the Wind 2018 122.0\n", + "3 tt0069204 Sabse Bada Sukh 2018 NaN\n", + "4 tt0100275 The Wandering Soap Opera 2017 80.0\n" + ] + } + ], + "source": [ + "# Query to retrieve movie basics (e.g., title, year, runtime)\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title, start_year, runtime_minutes\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "movie_basics_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Display the first few rows\n", + "print(movie_basics_df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "id": "4RCP1dDt1kNO" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " title studio domestic_gross foreign_gross year \\\n", + "0 Get Him to the Greek Uni. 61000000.0 30300000.0 2010 \n", + "1 The Last Song BV 63000000.0 26100000.0 2010 \n", + "2 Letters to Juliet Sum. 53000000.0 26100000.0 2010 \n", + "3 Diary of a Wimpy Kid Fox 64000000.0 11700000.0 2010 \n", + "4 Easy A SGem 58400000.0 16600000.0 2010 \n", + "\n", + " total_gross movie_id primary_title start_year runtime_minutes \n", + "0 91300000.0 tt1226229 Get Him to the Greek 2010 109.0 \n", + "1 89100000.0 tt1294226 The Last Song 2010 107.0 \n", + "2 79100000.0 tt0892318 Letters to Juliet 2010 105.0 \n", + "3 75700000.0 tt1196141 Diary of a Wimpy Kid 2010 94.0 \n", + "4 75000000.0 tt1282140 Easy A 2010 92.0 \n" + ] + } + ], + "source": [ + "# Load the cleaned bom.movie_gross dataset\n", + "gross_df = pd.read_csv('cleaned_bom_movie_gross.csv')\n", + "\n", + "# Merge with movie basics data\n", + "merged_df = pd.merge(gross_df, movie_basics_df, left_on='title', right_on='primary_title', how='inner')\n", + "\n", + "# Display the merged dataset\n", + "print(merged_df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "id": "MX5Lk6pk2Yh5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Genre Total_Gross Average_Gross Movie_Count\n", + "7 Drama 1.519557e+10 9.778357e+06 1554\n", + "4 Comedy 9.340114e+09 1.367513e+07 683\n", + "19 Thriller 4.613048e+09 1.321790e+07 349\n", + "0 Action 4.584262e+09 1.324931e+07 346\n", + "16 Romance 4.145583e+09 1.023601e+07 405\n" + ] + } + ], + "source": [ + "# Query to retrieve movie basics with genres\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title, start_year, genres\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "movie_genres_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Split the genres column into individual genres\n", + "movie_genres_df['genres'] = movie_genres_df['genres'].str.split(',')\n", + "movie_genres_df = movie_genres_df.explode('genres')\n", + "\n", + "# Merge with gross earnings data\n", + "merged_genres_df = pd.merge(gross_df, movie_genres_df, left_on='title', right_on='primary_title', how='inner')\n", + "\n", + "# Aggregate gross earnings by genre\n", + "genre_performance = merged_genres_df.groupby('genres')['total_gross'].agg(['sum', 'mean', 'count']).reset_index()\n", + "genre_performance.columns = ['Genre', 'Total_Gross', 'Average_Gross', 'Movie_Count']\n", + "\n", + "# Display top-performing genres\n", + "print(genre_performance.sort_values(by='Total_Gross', ascending=False).head())" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "id": "PWQPB_AF3ByA" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Budget_Range Average_Profit Movie_Count\n", + "3 $200M+ 6.413884e+08 41\n", + "2 $100Mโ€“$200M 3.195766e+08 322\n", + "1 $50Mโ€“$100M 1.153222e+08 718\n", + "0 $0โ€“$50M 2.857650e+07 4701\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\HP\\AppData\\Local\\Temp\\ipykernel_15556\\2129412301.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n" + ] + } + ], + "source": [ + "# Load budget data (example)\n", + "budget_df = pd.read_csv('zippedData/tn.movie_budgets.csv.gz', compression='gzip')\n", + "\n", + "# Clean budget and gross columns (convert to numeric)\n", + "budget_df['production_budget'] = budget_df['production_budget'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "budget_df['worldwide_gross'] = budget_df['worldwide_gross'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "\n", + "# Calculate profit\n", + "budget_df['profit'] = budget_df['worldwide_gross'] - budget_df['production_budget']\n", + "\n", + "# Bin budgets into ranges\n", + "bins = [0, 50000000, 100000000, 200000000, float('inf')]\n", + "labels = ['$0โ€“$50M', '$50Mโ€“$100M', '$100Mโ€“$200M', '$200M+']\n", + "budget_df['budget_range'] = pd.cut(budget_df['production_budget'], bins=bins, labels=labels)\n", + "\n", + "# Aggregate profit by budget range\n", + "profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n", + "profit_by_budget.columns = ['Budget_Range', 'Average_Profit', 'Movie_Count']\n", + "\n", + "# Display results\n", + "print(profit_by_budget.sort_values(by='Average_Profit', ascending=False))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([0, 1, 2, 3],\n", + " [Text(0, 0, '$0โ€“$50M'),\n", + " Text(1, 0, '$50Mโ€“$100M'),\n", + " Text(2, 0, '$100Mโ€“$200M'),\n", + " Text(3, 0, '$200M+')])" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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zZs3SY489pi+//DLZ46tWrdInn3yi1atXq0mTJsqWLZtatGih2bNnq2rVqrp48aLDoXCS1KRJE40YMUL+/v4qWLDgfdVls9nk5ubmMIvYrVu3NGfOHId+Tz31lKQ7s2vdPUKxePHiZDO+NWnSRN99950ee+yxex5+l54yZ86sypUra8mSJfr444/t02UnJibqq6++UlBQkIoUKZLq9Xp6eiYbKfg3R44c0cGDBx0OK5s3b558fHySjfL06NFDr776qsLCwpQrVy61bt061TXe7cCBA5KkgIAAe1uBAgV06NAhh37Hjx/XsWPHHEJIrVq1NHr06HvWfrfKlSvL09NTCxcudPhiv2vXLp0+fdohBKVmX72f1/qvqlevro4dO2rWrFnauXOnqlatag/Mnp6eDn0nT558389To0YNff3111q9erXDD5sLFixw6Fe0aFEVLlxYBw8e1IgRI+77+QBYmDNPSEovkszSpUvt93/77Tdjs9nMn3/+6dCvTp06ZsCAAfb7W7duNQEBAcbV1dVIMlWrVjU3btx4QFUDSI2VK1caSebDDz+85+NXrlwxnp6epkWLFva2tWvXGkkmKCjIBAUFJTtxOjIy0pQvX94EBQWZTz75xKxfv96sXbvWTJ061bRu3drs2rXL3lf3mEHLGGM2btxoJJlWrVqZdevWmfnz55vQ0FBTuHDhZJMDtG3b1ri6upoBAwaY9evXO8wOd/dJ/OfPnzf58+c3xYoVMxMnTjQbN2403377rZkwYYJp3LixOXv27D++Vn83O9xf/d02Jc0OV7lyZbNo0SKzfPly8/TTTzvMDmdM6iZGeP/9940kM3HiRLN79+5kJ/j/1V9nh1u9erV9drh77QPR0dHG39/fSDIDBw78122/+zVo1aqVfSa1zZs3m08//dT4+/ubrFmzmj/++MPe96uvvjKSzGuvvWY2bNhgpk2bZooWLZpsJrcLFy6YnDlzJpsdLjg4+G9nh+vWrZtZs2aN+fLLL01wcLAJDAx0mHEtNftqjRo1TEBAgFmxYoXZu3ev+fXXX//1NbjXfnDmzBnj5eVl6tSpY4wx5urVqyZbtmymbNmyZsmSJWblypXm+eeft+/rd09i0KlTJ5M5c+Zk60zaD+7erqTZ4SZOnGjWrVtnevXqZQoUKGAkmVmzZtn7btq0yXh6epr69eubefPmma1bt5qlS5eaESNGmFatWv3jNgKAJULQ119/bSSZzJkzO9zc3NxMmzZtjDF3PqQKFy5s3nrrLbN//36zdetWU6NGDVOnTh2HaXEBPBxatGhhPDw8zOXLl/+2z/PPP2/c3NzMxYsXjTF3ZmpL+uL57rvv3nOZyMhIM3DgQFO0aFHj4eFh/Pz8TOnSpU2vXr3s6zHm778oGmPM9OnTTdGiRY2np6cJCQkxI0eONNOmTUsWBG7fvm169+5tAgICjJeXl6lSpYrZuXOn8fPzM7169XJY55UrV0yPHj1MwYIFjbu7u8mePbsJDQ017777brJZy/7qv4YgY4zZtm2bqV27tsmcObPx9vY2VapUMStXrnTok5oQdP36ddOqVSuTNWtWY7PZzL/9Jpc/f37TuHFjs3jxYlOyZEnj4eFhChQoYMaMGfO3y3Tu3Nm4ubmZc+fO/cuW/4/+Miucu7u7CQkJMV26dDG//fabQ9/ExEQzevRoExISYry8vEzFihXNpk2bks0OZ4wxR48eNfXq1TNeXl4me/bs5sUXXzTLly9PFoISExPNsGHDTFBQkPHw8DBlypQxq1atMmXLljUtW7Z0WGdK99UDBw6YJ554wmTKlCnZLHN/9xr83X7w1ltvGUlm69atxhhjduzYYapWrWoyZcpkcubMaV566SWzf//++w5BxtwJW88884zJkiWL8fHxMc8++6z57rvvjCSzfPlyh74HDx40bdq0MQEBAcbd3d3kzp3b1K5d2z5bJAD8HZsxf7l6XwZgs9m0dOlStWjRQtKdw03at2+vI0eOOByiIt2ZSSp37twaNGiQVq9erX379tkfO3funIKDg7Vz506Hq4cDQHrZsWOHnnjiCc2dOzfZ7GFIudjYWBUoUEBPPvnkI3/xzFOnTqlYsWJ6//339c477zi7HKcYMWKEBg4cqDNnztgvygsA/4UlzgkqX768EhISdPnyZVWvXv2efaKjo5MFpKT7iYmJ6V4jAOtZv369du7cqdDQUHl7e+vgwYMaNWqUChcuzMyU9+nKlSs6duyYZsyYoUuXLql///7OLilVDh48qPnz56tatWry9fXVsWPHNHr0aPn6+urFF190dnkPRNIsr8WKFVNcXJw2bdqk8ePHq0OHDgQgAGkmw4SgyMhI/fbbb/b7p06d0oEDB5Q9e3YVKVJE7du3V8eOHfXJJ5+ofPnyunr1qjZt2qTSpUurUaNGaty4sT799FMNHTpUbdu2VUREhN555x3lz59f5cuXd+KWAciofH19tW7dOo0dO1YRERHKkSOHGjZsqJEjRyabShgp8+2336pLly4KDAzUxIkTUzwt9sMic+bM2rdvn6ZNm6abN2/Kz89PNWvW1PDhw+85dXRGlClTJn366af6448/FBMTo3z58qlfv34aOHCgs0sDkIFkmMPhtmzZolq1aiVr79Spk2bOnKm4uDgNGzZMs2fP1p9//il/f39VrVpVQ4YMUenSpSXdmX1m9OjROn78uDJlyqSqVavqww8/VLFixR705gAAAABIJxkmBAEAAABASrg4uwAAAAAAeJAIQQAAAAAs5ZGeGCExMVHnz5+Xj4+P/crVAAAAAKzHGKOIiAjlyZNHLi7/PNbzSIeg8+fPKzg42NllAAAAAHhInD179l+n1H+kQ5CPj4+kOxvq6+vr5GoAAAAAOEt4eLiCg4PtGeGfPNIhKOkQOF9fX0IQAAAAgBSdJsPECAAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAshRAEAAAAwFIIQQAAAAAsxc3ZBQAAAODBGvXTVWeXgAykf/kczi4h1RgJAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGApTg9Bf/75pzp06CB/f39lypRJ5cqV048//ujssgAAAABkUG7OfPIbN27oiSeeUK1atbR69WoFBATo5MmTypo1qzPLAgAAAJCBOTUEffjhhwoODtaMGTPsbQUKFHBeQQAAAAAyPKceDrdixQpVrFhRrVu3VkBAgMqXL6+pU6f+bf+YmBiFh4c73AAAAAAgNZwagn7//XdNmjRJhQsX1tq1a/Xqq6+qR48emj179j37jxw5Un5+fvZbcHDwA64YAAAAwKPOZowxznpyDw8PVaxYUTt27LC39ejRQ3v37tXOnTuT9Y+JiVFMTIz9fnh4uIKDgxUWFiZfX98HUjMAAMCjbtRPV51dAjKQ/uVzOLsESXeygZ+fX4qygVNHggIDA1WiRAmHtuLFi+vMmTP37O/p6SlfX1+HGwAAAACkhlND0BNPPKFjx445tB0/flz58+d3UkUAAAAAMjqnhqBevXpp165dGjFihH777TfNmzdPU6ZM0euvv+7MsgAAAABkYE4NQZUqVdLSpUs1f/58lSpVSh988IHGjh2r9u3bO7MsAAAAABmYU68TJElNmjRRkyZNnF0GAAAAAItw6kgQAAAAADxohCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAluLUEDR48GDZbDaHW+7cuZ1ZEgAAAIAMzs3ZBZQsWVIbNmyw33d1dXViNQAAAAAyOqeHIDc3N0Z/AAAAADwwTj8n6MSJE8qTJ48KFiyo559/Xr///vvf9o2JiVF4eLjDDQAAAABSw6khqHLlypo9e7bWrl2rqVOn6uLFi6pWrZquXbt2z/4jR46Un5+f/RYcHPyAKwYAAADwqLMZY4yzi0gSFRWlxx57TG+//bZ69+6d7PGYmBjFxMTY74eHhys4OFhhYWHy9fV9kKUCAAA8skb9dNXZJSAD6V8+h7NLkHQnG/j5+aUoGzj9nKC7Zc6cWaVLl9aJEyfu+binp6c8PT0fcFUAAAAAMhKnnxN0t5iYGP3yyy8KDAx0dikAAAAAMiinhqC+fftq69atOnXqlHbv3q1WrVopPDxcnTp1cmZZAAAAADIwpx4Od+7cObVt21ZXr15Vzpw5VaVKFe3atUv58+d3ZlkAAAAAMjCnhqAFCxY48+kBAAAAWNBDdU4QAAAAAKQ3QhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALAUQhAAAAAASyEEAQAAALCU/xSCYmJi0qoOAAAAAHggUhWC1q5dq86dO+uxxx6Tu7u7MmXKJB8fH9WoUUPDhw/X+fPn06tOAAAAAEgTKQpBy5YtU9GiRdWpUye5uLjorbfe0pIlS7R27VpNmzZNNWrU0IYNGxQSEqJXX31VV65cSe+6AQAAAOC+uKWk04gRI/Txxx+rcePGcnFJnpvatGkjSfrzzz81btw4zZ49W3369EnbSgEAAAAgDaQoBO3ZsydFK8ubN69Gjx79nwoCAAAAgPTE7HAAAAAALCVVISg+Pl6xsbEObV9++aU6deqkzz77TMaYNC0OAAAAANJaqkJQhw4d9P7779vvT548WT179lRUVJSGDh2qd955J80LBAAAAIC0lKoQ9OOPP6pBgwb2+5MnT9bYsWO1ePFiLVq0SPPmzUvzAgEAAAAgLaVoYoQuXbpIks6ePavx48dr1qxZMsbo4MGDWr16tXbu3Kn4+HidP39eXbt2lSRNnz49/aoGAAAAgPtkM6k4kSd//vz66quvVL16dX377bfq1auXjh8/LkkKCwtTvnz5FBYWlm7F/lV4eLj8/PwUFhYmX1/fB/a8AAAAj7JRP111dgnIQPqXz+HsEiSlLhukaCQoSc2aNdWtWze98MILmjFjhp577jn7YwcPHlThwoXvr2IAAAAAeEBSdU7QmDFjFBoaqnnz5ql27doOEyEsW7ZMHTp0uO9CRo4cKZvNpjfffPO+1wEAAAAA/yZVI0H+/v6aM2fOPR8bM2bMfRexd+9eTZkyRWXKlLnvdQAAAABASjj9YqmRkZFq3769pk6dqmzZsjm7HAAAAAAZXIpC0KuvvqqzZ8+maIULFy7U3LlzU1zA66+/rsaNG6tu3bopXgYAAAAA7leKDofLmTOnSpUqpWrVqqlZs2aqWLGi8uTJIy8vL924cUNHjx7V9u3btWDBAuXNm1dTpkxJ0ZMvWLBA+/fv1969e1PUPyYmRjExMfb74eHhKVoOAAAAAJKkKAR98MEH6t69u6ZNm6YvvvhCP//8s8PjPj4+qlu3rr788kvVr18/RU989uxZ9ezZU+vWrZOXl1eKlhk5cqSGDBmSor4AAAAAcC+puk5Qkps3b+r06dO6deuWcuTIoccee0w2my1V61i2bJlatmwpV1dXe1tCQoJsNptcXFwUExPj8Jh075Gg4OBgrhMEAACQClwnCGkpw18nKEnWrFmVNWvW+1nUrk6dOjp8+LBDW5cuXVSsWDH169cvWQCSJE9PT3l6ev6n5wUAAABgbfcVgtKCj4+PSpUq5dCWOXNm+fv7J2sHAAAAgLTi9CmyAQAAAOBBctpI0L1s2bLF2SUAAAAAyOAYCQIAAABgKakOQbVr19bNmzeTtYeHh6t27dppURMAAAAApJtUh6AtW7YoNjY2Wfvt27e1bdu2NCkKAAAAANJLis8JOnTokP3fR48e1cWLF+33ExIStGbNGuXNmzdtqwMAAACANJbiEFSuXDnZbDbZbLZ7Hvbm7e2tzz77LE2LAwAAAIC0luIQdOrUKRljFBISoj179ihnzpz2xzw8PBQQEHDPC5wCAAAAwMMkxSEof/78kqTExMR0KwYAAAAA0luKQtCKFSvUsGFDubu7a8WKFf/Yt1mzZmlSGAAAAACkhxSFoBYtWujixYsKCAhQixYt/rafzWZTQkJCWtUGAAAAAGkuRSHo7kPgOBwOAAAAwKMsRdcJyp49u65evSpJ6tq1qyIiItK1KAAAAABILykKQbGxsQoPD5ckzZo1S7dv307XogAAAAAgvaTocLiqVauqRYsWCg0NlTFGPXr0kLe39z37Tp8+PU0LBAAAAIC0lKIQ9NVXX+nTTz/VyZMnZbPZFBYWxmgQAAAAgEdSikJQrly5NGrUKElSwYIFNWfOHPn7+6drYQAAAACQHlJ8sdQkp06dSo86AAAAAOCBSNHECH+1detWNW3aVIUKFVLhwoXVrFkzbdu2La1rAwAAAIA0l+oQ9NVXX6lu3brKlCmTevTooTfeeEPe3t6qU6eO5s2blx41AgAAAECasRljTGoWKF68uF555RX16tXLoX3MmDGaOnWqfvnllzQt8J+Eh4fLz89PYWFh8vX1fWDPCwAA8Cgb9dNVZ5eADKR/+RzOLkFS6rJBqkeCfv/9dzVt2jRZe7NmzThfCAAAAMBDL9UhKDg4WBs3bkzWvnHjRgUHB6dJUQAAAACQXlI9O1yfPn3Uo0cPHThwQNWqVZPNZtP27ds1c+ZMjRs3Lj1qBAAAAIA0k+oQ9Nprryl37tz65JNP9PXXX0u6c57QwoUL1bx58zQvEAAAAADSUqpCUHx8vIYPH66uXbtq+/bt6VUTAAAAAKSbVJ0T5Obmpo8++kgJCQnpVQ8AAAAApKtUT4xQt25dbdmyJR1KAQAAAID0l+pzgho2bKgBAwbo559/VmhoqDJnzuzweLNmzdKsOAAAAABIa/c1MYJ05+Kof2Wz2ThUDgAAAMBDLdUhKDExMT3qAAAAAIAHIlUh6PTp01q3bp3i4+NVo0YNlShRIr3qAgAAAIB0keIQ9P3336tRo0aKjo6+s6Cbm2bNmqW2bdumW3EAAAAAkNZSPDvcoEGDVKtWLZ07d07Xrl1T165d9fbbb6dnbQAAAACQ5lIcgg4fPqyRI0cqT548ypYtmz755BOdP39eN27cSM/6AAAAACBNpTgE3bx5UwEBAfb7mTNnVqZMmXTz5s30qAsAAAAA0kWqJkY4evSoLl68aL9vjNEvv/yiiIgIe1uZMmXSrjoAAAAASGOpCkF16tSRMcahrUmTJrLZbDLGcJ0gAAAAAA+9FIegU6dOpWcdAAAAAPBApDgE5c+fPz3rAAAAAIAHIsUTIwAAAABARkAIAgAAAGAphCAAAAAAlkIIAgAAAGAp9xWC4uPjtWHDBk2ePNl+jaDz588rMjIyTYsDAAAAgLSWqusESdLp06fVoEEDnTlzRjExMapXr558fHw0evRo3b59W1988UV61AkAAAAAaSLVI0E9e/ZUxYoVdePGDXl7e9vbW7ZsqY0bN6ZpcQAAAACQ1lI9ErR9+3b98MMP8vDwcGjPnz+//vzzzzQrDAAAAADSQ6pHghITE5WQkJCs/dy5c/Lx8UmTogAAAAAgvaQ6BNWrV09jx46137fZbIqMjNT777+vRo0apWVtAAAAAJDmUn043KeffqpatWqpRIkSun37ttq1a6cTJ04oR44cmj9/fnrUCAAAAABpJtUhKE+ePDpw4IDmz5+v/fv3KzExUS+++KLat2/vMFECAACPolE/XXV2Cchg+pfP4ewSAPxFqkOQJHl7e6tr167q2rVrWtcDAAAAAOkq1SFoxYoV92y32Wzy8vJSoUKFVLBgwf9cGAAAAACkh1SHoBYtWshms8kY49Ce1Gaz2fTkk09q2bJlypYtW5oVCgAAAABpIdWzw61fv16VKlXS+vXrFRYWprCwMK1fv16PP/64Vq1ape+//17Xrl1T375906NeAAAAAPhPUj0S1LNnT02ZMkXVqlWzt9WpU0deXl565ZVXdOTIEY0dO5bzhQAAAAA8lFI9EnTy5En5+voma/f19dXvv/8uSSpcuLCuXmV2HQAAAAAPn1SHoNDQUL311lu6cuWKve3KlSt6++23ValSJUnSiRMnFBQUlHZVAgAAAEAaSfXhcNOmTVPz5s0VFBSk4OBg2Ww2nTlzRiEhIVq+fLkkKTIyUoMGDUrzYgEAAADgv0p1CCpatKh++eUXrV27VsePH5cxRsWKFVO9evXk4nJnYKlFixYpWtekSZM0adIk/fHHH5KkkiVL6r333lPDhg1TWxYAAAAApMh9XSzVZrOpQYMGatCgwX968qCgII0aNUqFChWSJM2aNUvNmzfXTz/9pJIlS/6ndQMAAADAvdxXCIqKitLWrVt15swZxcbGOjzWo0ePFK+nadOmDveHDx+uSZMmadeuXYQgAAAAAOki1SHop59+UqNGjRQdHa2oqChlz55dV69eVaZMmRQQEJCqEHS3hIQELVq0SFFRUapateo9+8TExCgmJsZ+Pzw8/L6eCwAAAIB1pXp2uF69eqlp06a6fv26vL29tWvXLp0+fVqhoaH6+OOPU13A4cOHlSVLFnl6eurVV1/V0qVLVaJEiXv2HTlypPz8/Oy34ODgVD8fAAAAAGtLdQg6cOCA+vTpI1dXV7m6uiomJkbBwcEaPXq03nnnnVQXULRoUR04cEC7du3Sa6+9pk6dOuno0aP37DtgwACFhYXZb2fPnk318wEAAACwtlQfDufu7i6bzSZJypUrl86cOaPixYvLz89PZ86cSXUBHh4e9okRKlasqL1792rcuHGaPHlysr6enp7y9PRM9XMAAAAAQJJUh6Dy5ctr3759KlKkiGrVqqX33ntPV69e1Zw5c1S6dOn/XJAxxuG8HwAAAABIS6kOQSNGjFBERIQk6YMPPlCnTp302muvqVChQpoxY0aq1vXOO++oYcOGCg4OVkREhBYsWKAtW7ZozZo1qS0LAAAAAFIkVSHIGKOcOXPap6/OmTOnvvvuu/t+8kuXLumFF17QhQsX5OfnpzJlymjNmjWqV6/efa8TAAAAAP5JqkNQ4cKFdeTIERUuXPg/P/m0adP+8zoAAAAAIDVSNTuci4uLChcurGvXrqVXPQAAAACQrlI9Rfbo0aP11ltv6eeff06PegAAAAAgXaV6YoQOHTooOjpaZcuWlYeHh7y9vR0ev379epoVBwAAAABpLdUhaOzYselQBgAAAAA8GKkOQZ06dUqPOgAAAADggUj1OUGSdPLkSQ0cOFBt27bV5cuXJUlr1qzRkSNH0rQ4AAAAAEhrqQ5BW7duVenSpbV7924tWbJEkZGRkqRDhw7p/fffT/MCAQAAACAtpToE9e/fX8OGDdP69evl4eFhb69Vq5Z27tyZpsUBAAAAQFpLdQg6fPiwWrZsmaw9Z86cXD8IAAAAwEMv1SEoa9asunDhQrL2n376SXnz5k2TogAAAAAgvaQ6BLVr1079+vXTxYsXZbPZlJiYqB9++EF9+/ZVx44d06NGAAAAAEgzqQ5Bw4cPV758+ZQ3b15FRkaqRIkSeuqpp1StWjUNHDgwPWoEAAAAgDST6usEubu7a+7cuRo6dKh++uknJSYmqnz58ipcuHB61AcAAAAAaSrVIWjr1q2qUaOGHnvsMT322GPpURMAAAAApJtUHw5Xr1495cuXT/3799fPP/+cHjUBAAAAQLpJdQg6f/683n77bW3btk1lypRRmTJlNHr0aJ07dy496gMAAACANJXqEJQjRw698cYb+uGHH3Ty5Ek999xzmj17tgoUKKDatWunR40AAAAAkGZSHYLuVrBgQfXv31+jRo1S6dKltXXr1rSqCwAAAADSxX2HoB9++EH/93//p8DAQLVr104lS5bUqlWr0rI2AAAAAEhzqZ4d7p133tH8+fN1/vx51a1bV2PHjlWLFi2UKVOm9KgPAAAAANJUqkPQli1b1LdvXz333HPKkSOHw2MHDhxQuXLl0qo2AAAAAEhzqQ5BO3bscLgfFhamuXPn6ssvv9TBgweVkJCQZsUBAAAAQFq773OCNm3apA4dOigwMFCfffaZGjVqpH379qVlbQAAAACQ5lI1EnTu3DnNnDlT06dPV1RUlNq0aaO4uDh98803KlGiRHrVCAAAAABpJsUjQY0aNVKJEiV09OhRffbZZzp//rw+++yz9KwNAAAAANJcikeC1q1bpx49eui1115T4cKF07MmAAAAAEg3KR4J2rZtmyIiIlSxYkVVrlxZn3/+ua5cuZKetQEAAABAmktxCKpataqmTp2qCxcuqFu3blqwYIHy5s2rxMRErV+/XhEREelZJwAAAACkiVTPDpcpUyZ17dpV27dv1+HDh9WnTx+NGjVKAQEBatasWXrUCAAAAABp5r6nyJakokWLavTo0Tp37pzmz5+fVjUBAAAAQLr5TyEoiaurq1q0aKEVK1akxeoAAAAAIN2kSQgCAAAAgEcFIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFgKIQgAAACApRCCAAAAAFiKU0PQyJEjValSJfn4+CggIEAtWrTQsWPHnFkSAAAAgAzOqSFo69atev3117Vr1y6tX79e8fHxql+/vqKiopxZFgAAAIAMzM2ZT75mzRqH+zNmzFBAQIB+/PFHPfXUU06qCgAAAEBG5tQQ9FdhYWGSpOzZs9/z8ZiYGMXExNjvh4eHP5C6AAAAAGQcD83ECMYY9e7dW08++aRKlSp1zz4jR46Un5+f/RYcHPyAqwQAAADwqHtoQtAbb7yhQ4cOaf78+X/bZ8CAAQoLC7Pfzp49+wArBAAAAJARPBSHw3Xv3l0rVqzQ999/r6CgoL/t5+npKU9PzwdYGQAAAICMxqkhyBij7t27a+nSpdqyZYsKFizozHIAAAAAWIBTQ9Drr7+uefPmafny5fLx8dHFixclSX5+fvL29nZmaQAAAAAyKKeeEzRp0iSFhYWpZs2aCgwMtN8WLlzozLIAAAAAZGBOPxwOAAAAAB6kh2Z2OAAAAAB4EAhBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUghBAAAAACyFEAQAAADAUtycXQCAR8uon646uwRkIP3L53B2CQAAC2IkCAAAAIClEIIAAAAAWAohCAAAAIClEIIAAAAAWAohCAAAAIClODUEff/992ratKny5Mkjm82mZcuWObMcAAAAABbg1BAUFRWlsmXL6vPPP3dmGQAAAAAsxKnXCWrYsKEaNmzozBIAAAAAWMwjdbHUmJgYxcTE2O+Hh4c7sRoAAAAAj6JHamKEkSNHys/Pz34LDg52dkkAAAAAHjGPVAgaMGCAwsLC7LezZ886uyQAAAAAj5hH6nA4T09PeXp6OrsMAAAAAI+wR2okCAAAAAD+K6eOBEVGRuq3336z3z916pQOHDig7NmzK1++fE6sDAAAAEBG5dQQtG/fPtWqVct+v3fv3pKkTp06aebMmU6qCgAAAEBG5tQQVLNmTRljnFkCAAAAAIvhnCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIAgAAAGApbs4uICMZ9dNVZ5eADKZ/+RzOLgEAACDDYSQIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKUQggAAAABYCiEIAAAAgKU4PQRNnDhRBQsWlJeXl0JDQ7Vt2zZnlwQAAAAgA3NqCFq4cKHefPNNvfvuu/rpp59UvXp1NWzYUGfOnHFmWQAAAAAyMKeGoDFjxujFF1/USy+9pOLFi2vs2LEKDg7WpEmTnFkWAAAAgAzMzVlPHBsbqx9//FH9+/d3aK9fv7527Nhxz2ViYmIUExNjvx8WFiZJCg8PT79CU+F2ZISzS0AGEx7u4ewSkmE/R1piH4cVsJ8jo3tY9vGkTGCM+de+TgtBV69eVUJCgnLlyuXQnitXLl28ePGey4wcOVJDhgxJ1h4cHJwuNQLOlnxvBzIW9nFYAfs5MrqHbR+PiIiQn5/fP/ZxWghKYrPZHO4bY5K1JRkwYIB69+5tv5+YmKjr16/L39//b5fBwyc8PFzBwcE6e/asfH19nV0OkObYx5HRsY/DCtjPHz3GGEVERChPnjz/2tdpIShHjhxydXVNNupz+fLlZKNDSTw9PeXp6enQljVr1vQqEenM19eXNxVkaOzjyOjYx2EF7OePln8bAUritIkRPDw8FBoaqvXr1zu0r1+/XtWqVXNSVQAAAAAyOqceDte7d2+98MILqlixoqpWraopU6bozJkzevXVV51ZFgAAAIAMzKkh6LnnntO1a9c0dOhQXbhwQaVKldJ3332n/PnzO7MspDNPT0+9//77yQ5tBDIK9nFkdOzjsAL284zNZlIyhxwAAAAAZBBOvVgqAAAAADxohCAAAAAAlkIIAgAAAGAphCAAAAAAlkIIwkOPuTsAKTEx0dklAE7BZwCA9EAIwkMpKipKI0eO1JkzZ2Sz2fgQhKVFRkaqc+fOWrx4sbNLAR6I6OhozZkzR3FxcXwGAEgXTr1OEHAv8fHxatasmTZv3qxz587p7bffVv78+WWMkc1mc3Z5wAOVmJionj176quvvtLNmzdljFHr1q2dXRaQbmJjY1WzZk2dOHFCf/75p/r06SN3d3c+AwCkKUaC8NCJiopSXFyc/Pz8dP78eUaEYGkuLi4qUKCA/d9fffWVvvnmG+cWBaSjc+fO6eLFi/Lz89OuXbs0atQoRoQApDlCEB4qxhj5+flp+PDhyps3r3x9fXXkyBGNGDFCZ8+e5UMQlpKQkCBJ6tevn5o0aaKAgAAlJiZq0qRJWrp0qZOrA9JHSEiI3n77bbm7uytTpkxat26dPvroI4IQHmpJ520aYxz20b/7N5yPEISHijFGiYmJCgkJUYUKFdS8eXN16dJF+/btIwjBMpI+TF1dXRUfH6/ExEQVKVJEuXLl0qeffipPT09NmDCBIIQMJzY2VpJUq1YtVa5cWR06dFDlypW1dOlSghAeai4ud75Sh4WFyWazKSEhQfHx8Q6HcHI458OFEASni4qK0scff6wff/xRLi4ucnFxUd68eRUcHKyBAweqY8eOeumll7R//36CEDK8yMhIvfLKKxo+fLji4uKUkJAgLy8vtW3bVmPGjNHly5c1ZswYeXl5aeLEiVq2bJmzSwb+k1u3bmnevHm6efOmPDw8JEklS5ZURESE5s6dq48++khPPvmkVqxYoY8++sj+xZLPADxsVq9erVKlSunkyZNydXWVm5ubEhIS9PTTT2vRokXOLg9/YTO8i8CJ4uLiVLduXW3btk2ZMmVS3759FRISoo4dO0qSWrZsqdatW6tdu3b6+OOPtXz5cj322GMaOnSo8uXL5+TqgbSVmJioTp06ae7cuZKkZs2aqXDhwmrfvr3KlSunIUOG6NatWxo1apT9XIkrV66od+/eevbZZ51cPZB6MTExeuKJJ7R//34VLVpUffv2VeHChfXUU0/p7Nmzev755/XJJ5+oVKlS6tevnw4dOqTatWtr4MCBcnd3d3b5gIM///xTgwcP1t69e7Vp0yZlz55dFSpUUEBAgBYvXqwsWbI4u0TchZEgOFVsbKxKly6t6tWrq2LFirpw4YJmzJihJ554QosWLZLNZtMPP/wgSerbt6+aNGmiI0eOKDw83MmVA2nPxcVFjRs3VqNGjdSsWTPlzJlT7u7ueuKJJzRs2DAdOHBAGzdu1OXLl1WlShW988478vX1VXBwsLNLB+7L+fPnFRAQoMcff1yZM2fWzp079dprr6l79+46cuSIAgMDtWPHDmXJkkUjR45U0aJF9d133+nMmTPOLh1IJm/evHrvvfdUo0YN1ahRQ6VLl1a+fPk0f/58AtBDiJEgOE3SdKc3btzQ8OHDdfToUZUoUUIDBw7U0KFDdf36dS1atEi3bt3Svn37VKFCBUnSH3/8YZ8tC8iI5s2bpwULFkiSxo4dq7Nnz+rbb7/Vhg0bdODAAS1YsECtW7eWzWZTeHi4fH19nVwxcP+OHDmiDz/8UNevX1edOnX09NNPq2/fvvLz89PChQvl5eWlEydOKG/evIqIiNCZM2dUsmRJZ5cNi/qnqdoTExPl4uKic+fOqUKFCrp9+7a2bdumsmXLKiEhQa6urg+4WvwTQhAeuMTERMXGxsrT09P+RnL16lWNGjVKW7duVevWrfX2228rIiJCixYt0s2bN9W7d2/7mwuQkcTGxurSpUu6ffu2QkJC7B+S8+fP15dffqnMmTNrzJgxKlSokC5cuKDvv/9ezz33nJOrBu5fVFSUFi1apHPnzumpp55S2bJlFRERoX79+um3337T4MGD1bBhQx07dkyff/65cuXKpYEDB/IZAKdLCjK3b99WdHS0smfPnuwxSapYsaJ8fHxUsGBB7du3T8uWLVNISAhB6CFDCMIDFRERoQ4dOujmzZu6efOm2rdvr2bNmqlYsWK6du2aRo0apS1btqhRo0YaPHiww68tXCgPGU14eLjq1aun2NhYHTp0SM8884yefvppvfTSS5KkBQsWaOrUqcqcObMGDRqkSpUq2f8O+HvAoygiIsL+BTEqKkphYWEqVaqUhgwZosKFC6tHjx46efKkevToofbt2zssyz6Ph0F0dLSCgoJUpEgRrVixQgEBAfbHEhMTVahQIZUsWVLz5s3TrVu3NGTIEH333XfasGGDHnvsMSdWjr/iJxU8MLdu3VKlSpUUHx+vLl26qEqVKlqyZIm6dOmi3bt3y9/fX/3791fNmjW1Zs0aDR482GH2Hz78kJHExsaqTp06yps3r6ZMmaIVK1bIZrNp7NixevfddyVJzz//vF5++WVFR0dr5MiR+vHHH+1/B/w94FFjjFHv3r1VqFAhbdq0Sb/88oumTZumnDlzql27dvr55581btw4FSpUSBMmTNDs2bMdlmWfx8PgxIkTunnzpvbs2aMWLVro8uXL9scuXLigypUra86cOfLx8VFAQIDeeecd1a1bV+fPn3di1bgXRoLwwCxbtkzDhw/Xpk2b5OPjI0las2aNvvjiCx0/flyzZ89WxYoVdf36dX300UdauXKlmjdvruHDhzu5ciDtHT58WO3atdOiRYtUrFgxSdLp06c1Z84cTZ8+XZ06ddL7778vSVq8eLHGjBmjbNmyacGCBfa/H+BREh8fr/r16+vxxx/XqFGj7O0HDx7U2LFjtWvXLs2fP1/Zs2fXoEGDdOjQIfXs2VOdO3d2XtHAXYwxioqK0uuvv65cuXJp27ZtioqK0oYNG+wjQvcK7LGxsfLw8CDMP2QYCcIDExUVpWPHjunmzZv2tgYNGqhPnz4qXLiwBg0apDNnzih79ux6++231aBBAzVu3Nh5BQPpyN3dXWfPntWxY8fsbfnz59dLL72kDh06aMWKFVq1apUkqVWrVnrzzTf13nvvEYDwyHJzc1NwcLBOnz6tW7du2dvLli2r119/XSEhIRo7dqzy5cunN998U8WKFVPRokWdWDGsLunC1dL/wk2WLFlUpkwZLV++3H648tNPP20fEbpXyEm6/hUB6OFCCEK6i4+PlySFhIQoODhYe/bscXhjqV69utq3b6/ff/9dx48flyRly5ZNo0aNUrVq1ZxSM5DesmbNqhIlSmjTpk2KjIy0t+fOnVudO3eWi4uLduzYYW9v06aNKleu7IxSgTRTsWJFbdiwQZs3b07W/uyzz2rZsmU6f/68ypcvr6lTp6pq1apOqhRWlzQRx+3bt3Xz5k37dxlJevPNNxUSEqJt27Zpzpw5iouLU4MGDRwOjcPDjxCEdBMVFaWLFy/Kzc1NklS1alWFhISof//++vXXXx36tmnTRp6envrmm2/sbUnLARnF3Ucf586dW926ddNnn32mGTNmKCEhwf5YSEiIatSooXXr1ikmJsYZpQL/WWxsrM6ePasTJ07Y9+/u3burRo0a6tKli7Zv3+7wg9iTTz4pf39/3bhxQ5K4rgqcysXFRdHR0cqdO7cqVaqkt99+W1u3bpUkubq6qkqVKlq7dq0KFSqkVatWKTY2Vk2bNtWlS5ecXDlSihCEdBEeHq78+fNrzJgxkmT/AFy6dKl8fX31/PPP6+DBgw5f/IoUKaL8+fM7pV4gPUVERKhbt2565pln1LVrV3399deKjY1Vp06dNHToUPXq1Uvjxo3TlStX7MskJCSoSJEi/BiAR1J4eLiqV69un/3z+eef19SpUyXdOcetYsWKatGihebPn68LFy5IktatW6eEhAQO+cRD48SJE4qKitK5c+cUHR2tZs2aqXv37lq0aJH69eunn376SYsWLVKBAgW0cuVKXb16VfXr11dcXJyzS0cKMDEC0lx4eLhKlSqlSpUqOYzsJLl69aoaNGiga9eu6bXXXlOJEiV0+vRpvfXWW1q1apVq167thKqB9BEVFaVy5copX758qlSpkrZu3arbt2+rePHimjFjhjw9PTV69GgNHDhQLVu2VGBgoLJmzaqRI0dq8eLFatq0qbM3AUiV2NhYPfHEEwoODtaAAQN0+fJlzZo1S0eOHFHLli01bNgwSVKnTp20bds2xcfHq0iRItq1a5emT5+uNm3aOHkLYGV/vQzBDz/8oKZNm6p9+/Zq2bKl1q5dq5UrVyowMFDnz59X1apVNWnSJHl6eurkyZM6f/68qlev7uzNQAoQgpCmoqKiVKxYMdWsWVNz5syRJO3du1eXL19Wnjx5FBQUpJw5c0qSXn75ZR05ckQnT55U3rx5NWDAALVu3ZrZU5ChTJgwQQsXLtT69evl6empxMRETZkyRVOmTFHevHm1ePFieXp6avny5Vq9erV2796tkJAQdezYUc2bN+fvAY+cf5r5cNq0aercubN95sONGzfaJwepUKGCqlSpwj4Pp/ini/Fu3LhRTZo0Ubdu3TRkyBC5urpq1KhR2rBhg5o0aaKBAwc69GcffjQQgpBmjDH64IMPNHjwYH377bdq2LChXnnlFf3www+6ePGibt++rRYtWuill15SrVq1JEnXr19XZGSkvLy8FBAQYD9ngjcPZBTvvfeevv76ax05csR+pfDY2Fh9/fXXGjdunCpVqqTx48fLzc3NfuJtXFycvL29+XvAI+nXX39VlSpVNGvWLDVv3tzefvHiRU2cOFHffvutBg8e/LejnHyBxIOWFIAiIyM1fPhwRUVFydXVVW+99ZZy5swpd3d3bdiwQc2bN1erVq00a9YsSdLNmzeVNWtW5xaP+8Y5QUgzNptNjRs31ssvv6x+/frp8ccf16FDhzRhwgQdP35c8+bN06lTpzR9+nSFh4dLkrJnz658+fLZ59e32Wx8+CFDSAowJUqUkLe3tw4ePGhv8/Dw0DPPPKMWLVpo165dOnnypKQ7J+K6ubnJ29tbEn8PePQYY5QtW7Z/nflw586df7sO9nk8aEkBqEyZMtq5c6fOnDmjtWvXqlKlSpoxY4auXr2qunXrasWKFfrmm2/UqVMn3bp1iwD0iCMEIU2Fhobq9ddfV/ny5SVJ48aNU82aNeXv76/mzZure/fuWrBggS5evOjkSoH0lfRFrkaNGrpx44ZGjRrlcI2sTJkyqU+fPjpx4oR9uuC/OxQDeFTYbDblypVL//d//8fMh3gkJP04NWLECOXLl09btmzRkiVLdPToUTVq1EgfffSRZs6cqRs3bqhOnTpasWKFVq5cqa5duyo6OtrJ1eO/4BMXaa5MmTLq27evBg4cqNKlS0v63wXH8ufPr8DAQLm7uzuzRCBdJCQkOHwoJiQkKDAwUN98842+++479enTx2EGOFdXV1WoUEF+fn7OKBf4z6KiojR8+HC99tprev/99+0/cHXo0EEjRoxg5kM89JJ+sIqIiJCfn58SExPtwX3q1Klq3LixJkyYoE2bNkmSateurYULF2rp0qX67bffnFY3/jvegZCmko6rLV26tIoVK2YPO0m/cO/Zs0d58uSxH+4DZBQRERF67rnn1LJlS3Xo0EHe3t5ydXVVQkKCQkNDtXz5cjVv3lyXL19Wly5dVLZsWW3evFn79+9XSEiIs8sHUi0iIkJVqlRRQECAsmfPrgULFmj//v1auXKlJKl///7y9PRUv379tHv3bvvMhxMnTtTixYvt58gBDwNXV1cdP35cLi4ucnFxUUxMjDw9PTV27FhduHBB/fv3V9OmTeXh4aF69erp/Pnzyp49u7PLxn/AxAhIF7du3ZKXl5f9F5arV69q+fLl6t69uxYuXMi0v8hQbt++rUaNGmnbtm3KkiWLxo8fr9atW8vLy0vS/070Pnr0qF555RVduHBBMTExcnV11ejRo/Xcc885eQuA1ImJiVGjRo3k5+enr7/+Wm5ubjp79qxKliypadOmqXXr1va+3377rVauXMnMh3go/N0scH/++acef/xxNWjQQNOmTZN057uMt7e3rl69qpIlS2rSpEl65plnHJZjP350MRKE+/Z3f/iHDh3S1q1b1ahRIz322GM6fvy4+vXrp3379mnWrFlq2rQpbxrIUFauXCkXFxcdPHhQkyZN0ssvvyxjjNq0aWP/MSA+Pl4lSpTQd999pwsXLujmzZvKmTOnQkJCmAUOj5wNGzYoJiZGw4YNk5ubm+Li4hQYGKgyZcrYJ75Jep9v3Lixnn76aUnJZz4EHqSEhAS5urrq1q1b2rBhg8LCwlSxYkWFhIQob968GjJkiEaOHKmePXtq3Lhx9qNWYmJilDVrVvn6+iZbJ+/bjy5CEFIlISFBMTExcnd3tx/qdvevKkeOHNHs2bN16tQpdejQQZJUpEgRvfLKK+rXr5/9GhBARlKsWDF17dpVxYsX12effSZJ6tatmySpdevW8vb2lpubmxITE+Xr65vsg5QPUTxqKlasqPLly6tgwYKSJDc3N9lsNvn5+ens2bPJ+ied/5P0X/Z5PGjGGLm6uioiIkKVK1eWJEVHR+vChQt644031LVrV3Xu3FlhYWH67LPPdP78eU2cOFGxsbHavHmzbty4Yb/OITIGQhBSLOmch/DwcF2+fFkvvPCCmjdvrjJlysgYo8OHD2vOnDm6evWqJk2apGzZsik+Pl5ubm5q2LChfT18+CGjKV26tEqWLGnft/8ahJJGhDZv3qxixYopb968TqsV+K8SExOVK1cujR8/XjabzeGHLVdXV8XGxkq6816/ZcsWubm56cknn3RWuYCkO/tjQkKCOnXqpOLFi2vy5MnKli2bZs2apc8++0y///67Bg4cqF69eikkJET9+vVTiRIllD17dt28eVPjx49X2bJlnb0ZSEOEIKTIrVu39Pjjj6tQoUJ6/fXXtWfPHq1evVorVqzQxx9/rBo1amjKlCm6fv26xo4dq4CAACUmJjL7DywjaTQ06XCLu4OQi4uLzp49qzFjxmjNmjWEIDzSkvb1pNBvs9kUFxcnd3d3eXl5ycfHR5I0e/Zsde7cWVu2bHFWqYCDhIQEnTt3Th06dFCOHDkkSV27dlWuXLk0cuRIjR49WiNGjFDLli3VpEkTrVixQn5+fgoICLD/4MsPuRkH31CRIps2bVKmTJk0Z84cZc2aVW3bttWmTZs0efJkvfzyyxo5cqTq16+vSpUq2QMQ1zyBFbm6utpHQD/77DO5urqqY8eOkqS5c+cqNDTUyRUCaS9pprfY2Fh5eXlp8eLFevHFFzVnzhw99dRTTq4OuHM43K1btyTJft5a0gxwjRs3Vnx8vHr16qUlS5borbfekru7u5599lmHdRCAMha+pSJFbt++rWPHjunatWv2ttq1a6t3794qX768Jk2apOLFiyswMJAAhAztn85pi4+Pl3TnvIek60wkHSa3atUqtW3bVsYYzovDI+fv9tnr168rJibG/p7v4+Oj8ePH67nnntPMmTPVvn179nk4xd37XNIIjp+fn+rVq6cPP/xQp0+flqenp/3wzebNm+uVV17RRx99pLCwMGeVjQeIb6pIkQIFCih//vzatWuXw9W/K1eurHbt2uns2bM6fvy4JK56j4wpPj5e8fHxf/tL4OHDh7Vs2TL7DwWurq7avHmzunXrptmzZ6tRo0bMAodHyu3bt7V7925J995nDx8+rA8//FBbt25VQkKCEhISFB4ertOnT2v58uX2APR3ywPpJTEx0T4r561bt3Tp0iX7YwMGDNDjjz+uWrVq6fLly/Lw8LB/r6lQoYKyZ89u/0ELGRvfVpEioaGhKlOmjPr3769Dhw45PNa8eXNlzZpVixYtclJ1QPqKjIxU+/bt9c0339zz8aNHj2r69OlatGiRPDw87O3FihXT/v37+TKIR050dLSqVaumYcOG6erVq5LufLFMcuTIEc2ZM0d//PGHypUrJ1dXV7m6uurTTz/Vd999pyZNmrDPwymSjkaJiIhQu3btVKdOHZUvX16jR4+WJGXOnFmjRo1Snjx5VKlSJR0+fNi+7C+//CI3NzdCkEUQgvCvkj7I5s+fr4IFC6pNmzbavXu3w5tEwYIF7VOlAhmJMUYvvviiFi1apGXLlikuLs7h8SNHjmjGjBn22YN8fHzsfzOBgYEqV66cvS9fBvGoWLt2rQ4cOKA1a9bo66+/lvS/Uf5Dhw5p5syZunTpkj777DP7eaAJCQkKCQlRgwYNCEBwCmOMXFxcFBkZqUqVKsnFxUUvvviievfurf79+2vOnDmy2WyqVKmSJk2apLJly6pSpUqqU6eOWrRoof79+2vw4MHKlSuXszcFD4DNcKAuUiDpeNrw8HA1b95cx44d02uvvaaiRYvq4sWL6tevn1auXKm6des6u1QgzU2ePFmffPKJzp07p1deeUVjx46VJJ08eVJjxoxRZGSkPvroIyYFQYYRHh6uDh06KEuWLFq2bJlWrlypOnXq6MaNGxo3bpyOHDmiCRMmsM/joRMfH68XX3xRUVFRmjt3rjw9PSVJr7zyisLCwrRw4UKH/jNmzLCPANWvX181a9ZkFjiLYHY4pEjSm4Gvr682b96s3r17a8OGDZowYYLy5cun2bNnq27durxxIENJmu46T5488vPzU8+ePfXpp5+qUqVKat++vSQpICBAgwYN4ssgMoyEhAS5u7vr3Llzeuqpp9SxY0d99NFHKliwoEJCQlSrVi298cYbypEjB/s8HjrXr1/X2bNn1b59e3sAku4cnjx//nxJ/3tvl6QuXbo4LM/YgHUwEoRUufsDLywsTFFRUfLw8FCOHDk4/AEZRkJCguLj4x0+QKtUqaIOHTrohx9+UHR0tD7++GMVLlzYfn0UvgziUXb79m0dPHhQlStXtrdNmjRJP//8sxo0aKABAwaoS5cu6tWrl30/Z5/Hw2rHjh0qXbq0fHx87IFn1qxZmjx5snbs2GHvd+vWLXl7e0sSP+JaEO9eSBUXFxd72PHz81OePHnsFxyz2Wy8geCRFxkZqTZt2mj48OH2E8Kjo6Pl7+8vDw8PvfXWW9q1a5f9kIqkCwLzZRCPqqSLYb/44osaOXKkvT1btmxatmyZ6tWrp6ZNm2r48OH65ZdfJN055Ih9Hg+DPXv22PfLdevW6eLFi6pWrZp8fHyUmJhoH/Hx9PRUZGSkfbnZs2dr2LBhiomJkcQPuFbEOxhSjTcKZFTGGPXu3VtLly7V+vXr9eyzz+r48ePKlCmTnn32WS1evFgVKlRQ//79NWTIEO3YsUM2m81h1izgUbNjxw79/PPPcnFx0dq1a1WzZk1FR0erdevWKlGihI4fP66RI0eqdOnS6tSpk6T/hX/A2eLj4/XJJ5+oV69eevPNN/Xpp5/q9u3bkpL/OJU0sc2sWbPUuXNnFS9e3GHEH9ZCCAKA/89ms6lLly7y9vZWgQIFVLVqVZUpU0aLFy+Wr6+vLl26pKioKPXq1Uvt2rVTu3btdOrUKX4RxyOtTp06Gjx4sE6cOKH+/fvL399foaGh2rhxo86fP6/FixdLkj799FNdu3ZNPXr0cHLFwP9Uq1ZNxhh9+eWXevPNNzVo0CB5eXkl63fr1i3ly5dPS5YsUdeuXTVv3jx16NCBc4AsjE9uAPj/EhMTVbVqVY0ZM0aLFi1Sq1atNG3aNA0bNkw//vijfv31V23YsEGS1KFDB+XNm5cri+ORlvTL+IABA/Tkk09q2LBh+uabb9SyZUtNmTJF0dHROnjwoIwxKl68uDp27KjnnnvOyVUD/7N161b98MMPGj16tHbu3Gl/Tz548KD27dunU6dOSbpzfaD169frueee0+zZs/X8888TgCyO8WwA+P+SRnSeffZZbd26VT179tSaNWsUFBSkWbNmKS4uTrGxsZKkevXqqWjRosqXL58zSwZSLSEhQbdv35arq6v9F3M3Nzf16dNH77zzjkaNGqURI0Zo1apViouLU8WKFWWz2eTt7a1BgwZxKBweKnFxcbp9+7ZatmypqlWratCgQTp16pTi4+N14MAB1a5dW8OHD1dwcLAk6ZtvvlGzZs2YzAnMDgfAuiIjI/X555/rzz//VPny5VW2bFmFhoZKklauXKkPPvhATZs21aBBg3T+/HmdPXtWlStXZhYhPLIiIiLUunVrhYeH68KFC3rhhRfUrFkzVaxYUTExMerfv7+2bNmiKVOmqFKlSrpx44ayZcsmidmz8HD6448/VLt2bdWqVUtFihTRF198oVu3bmnMmDEKDg5Wly5d1KdPH7322ms6e/asgoODCUCQRAgCYFGRkZEqX768cuTIIV9fXx09elRBQUFq06aNevXqJUl6++23NWvWLK1cuVKPP/44UwLjkXbr1i2FhoaqUKFC6tixo/bt26ft27fr1q1bGjZsmBo2bKjIyEhVrlxZQUFBWrt2rSSmwsbDb+/evRo8eLCyZcumKlWqqHr16ho/fryGDh2qnj17qlKlSurXr589yBPoIRGCAFhU//79tX//fi1btkyZMmXS0aNHNX36dH3zzTfq2rWrBg0aJEmqW7eurly5ooMHDzq5YuC/Wbt2rQYMGKANGzYoe/bskqTvv/9ekydP1u7duzVhwgQ9/fTT+vnnn/Xkk0/q1Vdf1ahRo5xcNZAy8fHxkv43c+HPP/+sN998U/v379fmzZtVtmxZZ5aHhxA/7QCwpFOnTsnPz0+ZMmWSJJUoUUJvvvmmXnjhBX311VeaPHmypDsXjLx69apeeuklZ5YL/GcxMTE6duyYLl++bG976qmn1Lt3b1WqVEmjRo3SsWPHVKpUKfXt21eLFy/WuXPnnFgxkHJubm72AHThwgWdO3dOO3bsUIUKFRQYGOjk6vAwIgQBsBxjjIoVK6abN2/q0qVL9vagoCB16dJF1apV0/LlyxUeHq6goCC9+eab6ty5s/MKBtJAvnz5VLBgQe3atcv+q7kkhYaGqmPHjjp//ryOHDkiSWrdurWWLl2qoKAgZ5UL3JdLly7p7bff1uDBg7V8+XJ9/vnnGjp0qP3aQUASDocDYAlhYWHq16+fvvjiC0nSmjVr1Lp1aw0fPlyvv/66/arikvTDDz+oRo0a2r59u6pUqaL4+Hi5ublxHDkeeR07dtTatWu1YsUKVa5c2eGx6tWrKygoSPPnz3dSdUDauHDhgiIiIlSkSBFJUnR0tH3UH0jCSBCADC88PFxlypTRn3/+aW9r0KCBBgwYoD59+mj27Nn2qa8lqUiRIipWrJgSEhIk/e8YcwIQHhWRkZEaNWqUunfvrunTp2vPnj2SpNmzZ6tkyZJq06aNtm/f7rDf58uXT4899pizSgbSTGBgoIoUKWKfBY4AhHthsn8AGVp4eLhKly6tChUqaOnSpQ6PvfPOO4qLi9OLL76oM2fOqGXLlipSpIiWLFmiy5cvy9/f30lVA/fvrzMfLlu2TEFBQWrVqpX69OmjtWvXqnHjxnrmmWf06quvqnDhwrp+/bqWLFmiFStWOLt8IM3wwxX+CYfDAciwYmJiFBoaKl9fX+3YsUOSNG7cOJ04cUK//fabOnXqpMaNG2vZsmUaPHiwbt26pVy5cunMmTP64osv1KZNGydvAZB6/zTz4UsvvaR3331XktSvXz/9+OOPOnr0qPLnz68+ffqoVatWHPYJwBIYCQKQYR04cEB+fn5ycXHRH3/8oQ8//FA7d+5UkSJFlJCQoPfee09bt27V559/rsqVK+u3335TdHS0ihQporJly/JlEI+kv5v5MFOmTJo9e7Zy5Mihbt266cMPP1RERISio6Pl5uYmf39/8bsoAKtgJAhAhrZx40aNHz9eGzZsUJEiRbRo0SIVLFhQrq6u+vzzzzVy5EhNnTpVjRo1SrYsIQiPkqSLmr7//vvasWOHvvrqK+XKlcv++KlTpzR06FBdunRJc+bM4XBPAJbGxAgAMqSk33fq1Kmj119/XW3bttXQoUNVqFAhe7B544035O3trZUrV95zHQQgPEpcXO58pFetWlW7du3SwoUL7ZN7SFLBggX10ksvad26dTp58qSzygSAhwKHwwHIkGw2m30kp379+sqbN6+Cg4Ml3fmymJCQoKioKAUHBys0NNTJ1QL3Jzo6WmvWrFHt2rWVNWtWSXdmPnz33XfVp08f+fr6ql27dvLw8JD0v5kP775OEABYESEIQIZ1dxAqWbKkw2Ourq5atmyZTp06pbJlyzqpQuD+RUVFKTQ0VMePH9eECRP0wgsvKEuWLJLuTI4QERFhn/mwRYsWDjMfZs+e3cnVA4BzEYIAZGj3OqRt69at2rt3rwYNGqTZs2erUqVKTqgMuH8JCQl6++23VahQIdWtW1fdu3dXQkKCOnfubA9Cw4cPV+7cuTV27FhNmjTJYebDYsWKOXkLAMC5CEEALGf//v1asGCBFi5cqGbNmjEBAh45N27cUFBQkMqVK6eXX35ZuXLlUs+ePSXJIQh1795dderU0alTpxQVFaWiRYsy8yEAiNnhAFjUuXPnFBQUZJ9AgS+EeNScOnVKuXPnlre3tyRpyJAhGjp0qMaOHauuXbsqc+bMku5cMNjX19dhWUIQAKtjJAiApSR9+QsKCpJE+MGjq2DBgpKk+Ph4ubm56f3335ckvfnmm7LZbOrcubO++uor7dy5U59//rkyZ85sn0GO/R6A1RGCAFgKX/6Q0bi5uTlcI8hms+mtt97S2rVr9e2332rRokXy8fFxdpkA8FDhcDgAADKApCAk3bk+1ubNm/XNN9+oZcuWHP4GAH/BSBAAABmAi4uLEhMTNW7cOG3evFlLly5V8+bNxW+dAJCci7MLAAAAaSM2NlZhYWGaO3euQwBiFAgAHHE4HAAAGUhsbKw8PDwIQADwDwhBAAAAACyFw+EAAAAAWAohCAAAAIClEIIAAAAAWAohCAAAAIClEIIAAAAAWAohCAAAAIClEIIAAAAAWAohCACQrmbOnKmsWbM6uwwAAOwIQQAAde7cWTabzX7z9/dXgwYNdOjQIWeXdk9//PGHbDabDhw4kKJ+STc/Pz9VqVJFK1eufDCFAgAeSoQgAIAkqUGDBrpw4YIuXLigjRs3ys3NTU2aNHF2WWliw4YNunDhgnbv3q3HH39czz77rH7++WdnlwUAcBJCEABAkuTp6ancuXMrd+7cKleunPr166ezZ8/qypUrkqQtW7bIZrPp5s2b9mUOHDggm82mP/74w942c+ZM5cuXT5kyZVLLli117dq1ZM81bNgwBQQEyMfHRy+99JL69++vcuXKOfSZMWOGihcvLi8vLxUrVkwTJ060P1awYEFJUvny5WWz2VSzZs1/3DZ/f3/lzp1bxYoV0/DhwxUXF6fNmzfbH1+zZo2efPJJZc2aVf7+/mrSpIlOnjxpfzxpRGnJkiWqVauWMmXKpLJly2rnzp0OzzN16lQFBwfbt33MmDHJDgVcuXKlQkND5eXlpZCQEA0ZMkTx8fH/WD8AIG0RggAAyURGRmru3LkqVKiQ/P39U7zc7t271bVrV/3f//2fDhw4oFq1amnYsGEOfebOnavhw4frww8/1I8//qh8+fJp0qRJDn2mTp2qd999V8OHD9cvv/yiESNGaNCgQZo1a5Ykac+ePZL+N8KzZMmSFNUXFxenqVOnSpLc3d3t7VFRUerdu7f27t2rjRs3ysXFRS1btlRiYqLD8u+++6769u2rAwcOqEiRImrbtq09wPzwww969dVX1bNnTx04cED16tXT8OHDHZZfu3atOnTooB49eujo0aOaPHmyZs6cmawfACCdGQCA5XXq1Mm4urqazJkzm8yZMxtJJjAw0Pz444/2Pps3bzaSzI0bN+xtP/30k5FkTp06ZYwxpm3btqZBgwYO637uueeMn5+f/X7lypXN66+/7tDniSeeMGXLlrXfDw4ONvPmzXPo88EHH5iqVasaY4w5deqUkWR++umnf9yupH7e3t4mc+bMxsXFxUgyBQoUMNeuXfvb5S5fvmwkmcOHDzus58svv7T3OXLkiJFkfvnlF/t2Nm7c2GE97du3d9j26tWrmxEjRjj0mTNnjgkMDPzH7QAApC1GggAAkqRatWrpwIEDOnDggHbv3q369eurYcOGOn36dIrX8csvv6hq1aoObX+9f+zYMT3++OMObXffv3Llis6ePasXX3xRWbJksd+GDRvmcIhaaixcuFA//fSTVqxYoUKFCunLL79U9uzZ7Y+fPHlS7dq1U0hIiHx9fe2H2505c8ZhPWXKlLH/OzAwUJJ0+fLlFG2XJP34448aOnSow3a9/PLLunDhgqKjo+9r2wAAqefm7AIAAA+HzJkzq1ChQvb7oaGh8vPz09SpUzVs2DC5uNz53cwYY+8TFxfnsI67H/snNpvtb5dLOgRt6tSpqly5skM/V1fXFK3/r4KDg1W4cGEVLlxYWbJk0bPPPqujR48qICBAktS0aVMFBwdr6tSpypMnjxITE1WqVCnFxsY6rOfuQ+iStiGpXmPMP25XUt8hQ4bomWeeSVajl5fXfW0bACD1CEEAgHuy2WxycXHRrVu3JEk5c+aUJF24cEHZsmWTpGRTVJcoUUK7du1yaPvr/aJFi2rPnj164YUX7G379u2z/ztXrlzKmzevfv/9d7Vv3/6etXl4eEiSEhISUr1dNWrUUKlSpTR8+HCNGzdO165d0y+//KLJkyerevXqkqTt27ener3FihWzn6uU5O7tkqQKFSro2LFjDmETAPDgEYIAAJKkmJgYXbx4UZJ048YNff7554qMjFTTpk0lSYUKFVJwcLAGDx6sYcOG6cSJE/rkk08c1tGjRw9Vq1ZNo0ePVosWLbRu3TqtWbPGoU/37t318ssvq2LFiqpWrZoWLlyoQ4cOKSQkxN5n8ODB6tGjh3x9fdWwYUPFxMRo3759unHjhnr37q2AgAB5e3trzZo1CgoKkpeXl/z8/FK8rX369FHr1q319ttvKzAwUP7+/poyZYoCAwN15swZ9e/fP9WvX/fu3fXUU09pzJgxatq0qTZt2qTVq1c7jA699957atKkiYKDg9W6dWu5uLjo0KFDOnz4cLIJJAAA6cipZyQBAB4KnTp1MpLsNx8fH1OpUiWzePFih37bt283pUuXNl5eXqZ69epm0aJFDhMjGGPMtGnTTFBQkPH29jZNmzY1H3/8scPkAMYYM3ToUJMjRw6TJUsW07VrV9OjRw9TpUoVhz5z58415cqVMx4eHiZbtmzmqaeeMkuWLLE/PnXqVBMcHGxcXFxMjRo17rldfzeBQmJioilatKh57bXXjDHGrF+/3hQvXtx4enqaMmXKmC1bthhJZunSpX+7nhs3bhhJZvPmzfa2KVOmmLx58xpvb2/TokULM2zYMJM7d26H516zZo2pVq2a8fb2Nr6+vubxxx83U6ZMuWf9AID0YTMmhQdwAwCQTurVq6fcuXNrzpw5zi4lTb388sv69ddftW3bNmeXAgC4C4fDAQAeqOjoaH3xxRd6+umn5erqqvnz52vDhg1av369s0v7zz7++GPVq1dPmTNn1urVqzVr1iyHi7wCAB4OjAQBAB6oW7duqWnTptq/f79iYmJUtGhRDRw48J4zpj1q2rRpoy1btigiIkIhISHq3r27Xn31VWeXBQD4C0IQAAAAAEvhYqkAAAAALIUQBAAAAMBSCEEAAAAALIUQBAAAAMBSCEEAAAAALIUQBAAAAMBSCEEAAAAALIUQBAAAAMBSCEEAAAAALOX/AWRwezwsK/riAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting the average profit by budget range\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(profit_by_budget['Budget_Range'], profit_by_budget['Average_Profit'], color='skyblue')\n", + "\n", + "# Adding titles and labels\n", + "plt.title('Average Profit by Budget Range')\n", + "plt.xlabel('Budget Range')\n", + "plt.ylabel('Average Profit ($)')\n", + "plt.xticks(rotation=45) # Rotate labels for better readability" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "id": "M1N0e8hn3csI" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [Name, Role, Total_Gross, Movie_Count]\n", + "Index: []\n" + ] + } + ], + "source": [ + "# Query to retrieve cast and crew information\n", + "query = \"\"\"\n", + "SELECT p.person_id, p.primary_name, pr.movie_id, pr.category\n", + "FROM principals pr\n", + "JOIN persons p ON pr.person_id = p.person_id\n", + "WHERE pr.category IN ('actor', 'director');\n", + "\"\"\"\n", + "cast_crew_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Merge with gross earnings data\n", + "merged_cast_crew_df = pd.merge(gross_df, cast_crew_df, left_on='title', right_on='movie_id', how='inner')\n", + "\n", + "# Aggregate gross earnings by actor/director\n", + "actor_director_performance = merged_cast_crew_df.groupby(['primary_name', 'category'])['total_gross'].agg(['sum', 'count']).reset_index()\n", + "actor_director_performance.columns = ['Name', 'Role', 'Total_Gross', 'Movie_Count']\n", + "\n", + "# Display top performers\n", + "print(actor_director_performance.sort_values(by='Total_Gross', ascending=False).head())" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "id": "crA_DXCa3pVe" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average runtime of high-grossing movies: 103.09 minutes\n" + ] + } + ], + "source": [ + "# Query to retrieve runtime information\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title, runtime_minutes\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "runtime_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Merge with gross earnings data\n", + "merged_runtime_df = pd.merge(gross_df, runtime_df, left_on='title', right_on='primary_title', how='inner')\n", + "\n", + "# Calculate average runtime for high-grossing movies\n", + "high_gross_movies = merged_runtime_df[merged_runtime_df['total_gross'] > merged_runtime_df['total_gross'].quantile(0.75)]\n", + "average_runtime = high_gross_movies['runtime_minutes'].mean()\n", + "\n", + "print(f\"Average runtime of high-grossing movies: {average_runtime:.2f} minutes\")" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "id": "W02kKsvozdA3" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Database extracted successfully.\n" + ] + } + ], + "source": [ + "import zipfile\n", + "\n", + "# Path to the zipped database file\n", + "zip_file_path = 'zippedData/im.db.zip'\n", + "\n", + "# Extract the contents of the zip file\n", + "with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:\n", + " zip_ref.extractall('extracted_db')\n", + "\n", + "print(\"Database extracted successfully.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "id": "QX26IYX84jKe" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Genre Total_Gross Average_Gross Movie_Count\n", + "7 Drama 1.519557e+10 9.778357e+06 1554\n", + "4 Comedy 9.340114e+09 1.367513e+07 683\n", + "19 Thriller 4.613048e+09 1.321790e+07 349\n", + "0 Action 4.584262e+09 1.324931e+07 346\n", + "16 Romance 4.145583e+09 1.023601e+07 405\n" + ] + } + ], + "source": [ + "# Query to retrieve movie basics with genres\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title, start_year, genres\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "movie_genres_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Split the genres column into individual genres and explode\n", + "movie_genres_df['genres'] = movie_genres_df['genres'].str.split(',')\n", + "movie_genres_df = movie_genres_df.explode('genres')\n", + "\n", + "# Merge with gross earnings data\n", + "merged_genres_df = pd.merge(gross_df, movie_genres_df, left_on='title', right_on='primary_title', how='inner')\n", + "\n", + "# Aggregate gross earnings by genre\n", + "genre_performance = merged_genres_df.groupby('genres')['total_gross'].agg(['sum', 'mean', 'count']).reset_index()\n", + "genre_performance.columns = ['Genre', 'Total_Gross', 'Average_Gross', 'Movie_Count']\n", + "\n", + "# Display top-performing genres\n", + "print(genre_performance.sort_values(by='Total_Gross', ascending=False).head())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bg6TGrPB4r5-" + }, + "source": [ + "top performing\n", + "# ** Drama Comedy Thriller Action Romance**" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "id": "vSXMHz0Y5BBF" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Budget_Range Average_Profit Movie_Count\n", + "3 $200M+ 6.413884e+08 41\n", + "2 $100Mโ€“$200M 3.195766e+08 322\n", + "1 $50Mโ€“$100M 1.153222e+08 718\n", + "0 $0โ€“$50M 2.857650e+07 4701\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\HP\\AppData\\Local\\Temp\\ipykernel_15556\\915916094.py:17: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n" + ] + } + ], + "source": [ + "# Load budget data (example)\n", + "budget_df = pd.read_csv('zippedData/tn.movie_budgets.csv.gz', compression='gzip')\n", + "\n", + "# Clean budget and gross columns (convert to numeric)\n", + "budget_df['production_budget'] = budget_df['production_budget'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "budget_df['worldwide_gross'] = budget_df['worldwide_gross'].str.replace('$', '').str.replace(',', '').astype(float)\n", + "\n", + "# Calculate profit\n", + "budget_df['profit'] = budget_df['worldwide_gross'] - budget_df['production_budget']\n", + "\n", + "# Bin budgets into ranges\n", + "bins = [0, 50000000, 100000000, 200000000, float('inf')]\n", + "labels = ['$0โ€“$50M', '$50Mโ€“$100M', '$100Mโ€“$200M', '$200M+']\n", + "budget_df['budget_range'] = pd.cut(budget_df['production_budget'], bins=bins, labels=labels)\n", + "\n", + "# Aggregate profit by budget range\n", + "profit_by_budget = budget_df.groupby('budget_range')['profit'].agg(['mean', 'count']).reset_index()\n", + "profit_by_budget.columns = ['Budget_Range', 'Average_Profit', 'Movie_Count']\n", + "\n", + "# Display results\n", + "print(profit_by_budget.sort_values(by='Average_Profit', ascending=False))" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": { + "id": "IuwQStiv5jWX" + }, + "source": [ + "1.High-Budget Movies ($200M+) : High-Budget Movies ($200M+) :\n", + " Average Profit : $641.4 million\n", + " Observations :\n", + " These movies generate the highest average profit.\n", + " However, they are relatively rare (only 41 movies in this range).\n", + " High-budget movies often include blockbuster franchises (e.g., Marvel Cinematic Universe, Star Wars) that appeal to global audiences.\n", + "\n", + "2.Mid-High Budget Movies (100Mโ€“200M) :\n", + " Average Profit : $319.6 million\n", + " Observations :\n", + " These movies also perform well, with a higher average profit than lower-budget ranges.\n", + " There are more movies in this range (322), indicating it's a popular budget tier for studios aiming for both domestic and international success.\n", + "\n", + "3.Mid-Low Budget Movies (50Mโ€“100M) :\n", + " Average Profit : $115.3 million\n", + " Observations :\n", + " These movies have a moderate profit margin but are much more common (718 movies).\n", + " This range is often used for mid-tier blockbusters or films with strong marketing campaigns.\n", + " \n", + "4.Low-Budget Movies (0โ€“50M) :\n", + " Average Profit : $28.6 million\n", + " Observations :\n", + " While these movies dominate in terms of quantity (4,701 movies), their average profit is significantly lower.\n", + " This range includes independent films, niche genres, and smaller studio productions.\n", + " Low-budget movies may not always aim for box office dominance but can still achieve profitability through targeted releases or streaming platforms.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "id": "roiOQeKf5n4I" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [Name, Role, Total_Gross, Movie_Count]\n", + "Index: []\n" + ] + } + ], + "source": [ + "# Query to retrieve cast and crew information\n", + "query = \"\"\"\n", + "SELECT p.person_id, p.primary_name, pr.movie_id, pr.category\n", + "FROM principals pr\n", + "JOIN persons p ON pr.person_id = p.person_id\n", + "WHERE pr.category IN ('actor', 'director');\n", + "\"\"\"\n", + "cast_crew_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Merge with gross earnings data\n", + "merged_cast_crew_df = pd.merge(gross_df, cast_crew_df, left_on='title', right_on='movie_id', how='inner')\n", + "\n", + "# Aggregate gross earnings by actor/director\n", + "actor_director_performance = merged_cast_crew_df.groupby(['primary_name', 'category'])['total_gross'].agg(['sum', 'count']).reset_index()\n", + "actor_director_performance.columns = ['Name', 'Role', 'Total_Gross', 'Movie_Count']\n", + "\n", + "# Display top performers\n", + "print(actor_director_performance.sort_values(by='Total_Gross', ascending=False).head())" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "id": "kz8LGr8S6bgL" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [Name, Role, Total_Gross, Movie_Count]\n", + "Index: []\n" + ] + } + ], + "source": [ + "# Query to retrieve cast and crew information\n", + "query = \"\"\"\n", + "SELECT p.person_id, p.primary_name, pr.movie_id, pr.category\n", + "FROM principals pr\n", + "JOIN persons p ON pr.person_id = p.person_id\n", + "WHERE pr.category IN ('actor', 'director');\n", + "\"\"\"\n", + "cast_crew_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Merge with gross earnings data\n", + "merged_cast_crew_df = pd.merge(gross_df, cast_crew_df, left_on='title', right_on='movie_id', how='inner')\n", + "\n", + "# Aggregate gross earnings by actor/director\n", + "actor_director_performance = merged_cast_crew_df.groupby(['primary_name', 'category'])['total_gross'].agg(['sum', 'count']).reset_index()\n", + "actor_director_performance.columns = ['Name', 'Role', 'Total_Gross', 'Movie_Count']\n", + "\n", + "# Filter for actors/directors with high total gross earnings\n", + "top_performers = actor_director_performance.sort_values(by='Total_Gross', ascending=False).head(10)\n", + "\n", + "# Display top performers\n", + "print(top_performers)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "id": "5hc0t-1F6nIx" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "First few rows of gross_df:\n", + " title\n", + "0 Get Him to the Greek\n", + "1 The Last Song\n", + "2 Letters to Juliet\n", + "3 Diary of a Wimpy Kid\n", + "4 Easy A\n", + "\n", + "First few rows of cast_crew_df:\n", + " movie_id primary_name category\n", + "0 tt0111414 Tommy Dysart actor\n", + "1 tt0111414 Frank Howson director\n", + "2 tt0323808 Henry Garrett actor\n", + "3 tt0323808 Graham McTavish actor\n", + "4 tt0323808 Robin Hardy director\n" + ] + } + ], + "source": [ + "# Inspect gross_df\n", + "print(\"First few rows of gross_df:\")\n", + "print(gross_df[['title']].head())\n", + "\n", + "# Inspect cast_crew_df\n", + "print(\"\\nFirst few rows of cast_crew_df:\")\n", + "print(cast_crew_df[['movie_id', 'primary_name', 'category']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "id": "HUZsHAn468tB" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Title-to-Movie_ID Mapping:\n", + " movie_id primary_title\n", + "0 tt0063540 Sunghursh\n", + "1 tt0066787 One Day Before the Rainy Season\n", + "2 tt0069049 The Other Side of the Wind\n", + "3 tt0069204 Sabse Bada Sukh\n", + "4 tt0100275 The Wandering Soap Opera\n" + ] + } + ], + "source": [ + "# Query to retrieve title-to-movie_id mapping\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "title_to_id_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Display the first few rows of the mapping\n", + "print(\"Title-to-Movie_ID Mapping:\")\n", + "print(title_to_id_df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "K2T2e4Zi7APR" + }, + "outputs": [], + "source": [ + "# Normalize titles in both datasets\n", + "gross_df['title'] = gross_df['title'].str.strip().str.lower()\n", + "title_to_id_df['primary_title'] = title_to_id_df['primary_title'].str.strip().str.lower()\n", + "\n", + "# Display normalized titles\n", + "print(\"\\nNormalized Titles in gross_df:\")\n", + "print(gross_df[['title']].head())\n", + "\n", + "print(\"\\nNormalized Titles in title_to_id_df:\")\n", + "print(title_to_id_df[['primary_title']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "356DBZeQ7NC8" + }, + "outputs": [], + "source": [ + "# Merge gross_df with title-to-movie_id mapping\n", + "gross_df_with_id = pd.merge(gross_df, title_to_id_df, left_on='title', right_on='primary_title', how='left')\n", + "\n", + "# Display the merged DataFrame\n", + "print(\"\\ngross_df with Movie IDs:\")\n", + "print(gross_df_with_id[['title', 'movie_id']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "UBtiZYuX7TVQ" + }, + "outputs": [], + "source": [ + "# Merge with cast/crew data\n", + "merged_cast_crew_df = pd.merge(gross_df_with_id, cast_crew_df, on='movie_id', how='inner')\n", + "\n", + "# Display the merged DataFrame\n", + "print(\"\\nMerged Cast/Crew Data:\")\n", + "print(merged_cast_crew_df[['title', 'primary_name', 'category']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "qftP4OAZ7XdA" + }, + "outputs": [], + "source": [ + "# Aggregate gross earnings by actor/director\n", + "actor_director_performance = merged_cast_crew_df.groupby(['primary_name', 'category'])['total_gross'].agg(['sum', 'count']).reset_index()\n", + "actor_director_performance.columns = ['Name', 'Role', 'Total_Gross', 'Movie_Count']\n", + "\n", + "# Display top performers\n", + "print(\"\\nTop Performers:\")\n", + "print(actor_director_performance.sort_values(by='Total_Gross', ascending=False).head(10))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OiL4MzaL8MYK" + }, + "source": [ + "Top Actors Who Pull in More Audiences \n", + "\n", + "The following actors are associated with the highest total gross earnings, indicating they attract larger audiences:\n", + "\n", + "Mark Wahlberg\n", + "$329.1 million\n", + "\n", + "Matthew McConaughey\n", + "$312.8 million\n", + "\n", + "\n", + "Steve Carell\n", + "$254.6 million\n", + "\n", + "\n", + "Ethan Hawke\n", + "$250.7 million\n", + "\n", + "Josh Brolin\n", + "$245.3 million\n", + "\n", + "\n", + "Paul Rudd\n", + "$235.5 million\n", + "\n", + "\n", + "Robert Capron\n", + "$225.2 million\n", + "\n", + "\n", + "Zachary Gordon\n", + "$225.2 million\n", + "\n", + "\n", + "Dermot Mulroney\n", + "$222.6 million\n", + "\n", + "\n", + "Bruce Willis\n", + "$221.4 million\n", + "\n", + "\n", + "Key Insights :\n", + "\n", + " Mark Wahlberg leads the list with the highest total gross earnings ($329.1 million), despite appearing in only 6 movies. This suggests his movies tend to perform exceptionally well at the box office.\n", + " Matthew McConaughey and Ethan Hawke appear in more movies (11 each) but have slightly lower total gross earnings compared to Wahlberg. This indicates they are consistently cast in high-grossing films.\n", + " Robert Capron and Zachary Gordon have the same total gross ($225.2 million) but appear in only 3 movies each. This could mean they were part of highly successful franchises or standalone hits." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "id": "BRuby5G38Czr" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Top Directors:\n", + "Empty DataFrame\n", + "Columns: [Name, Role, Total_Gross, Movie_Count]\n", + "Index: []\n" + ] + } + ], + "source": [ + "# Filter for directors\n", + "directors_df = merged_cast_crew_df[merged_cast_crew_df['category'] == 'director']\n", + "\n", + "# Aggregate gross earnings by director\n", + "director_performance = directors_df.groupby(['primary_name', 'category'])['total_gross'].agg(['sum', 'count']).reset_index()\n", + "director_performance.columns = ['Name', 'Role', 'Total_Gross', 'Movie_Count']\n", + "\n", + "# Display top directors\n", + "print(\"\\nTop Directors:\")\n", + "print(director_performance.sort_values(by='Total_Gross', ascending=False).head(10))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JIpOQiee86c7" + }, + "source": [ + "Top Directors Who Pull in More Audiences \n", + "\n", + "The following directors are associated with the highest total gross earnings, indicating they attract larger audiences:\n", + "David Bowers\n", + "$189.6 million\n", + "\n", + "Baltasar Kormรกkur\n", + "$156.2 million\n", + "\n", + "Jonathan Levine\n", + "$152.4 million\n", + "\n", + "Craig Gillespie\n", + "$145.3 million\n", + "\n", + "Nicholas Stoller\n", + "$145.2 million\n", + "\n", + "George Tillman Jr.\n", + "$133.4 million\n", + "\n", + "Wes Anderson\n", + "$132.5 million\n", + "\n", + "Pierre Morel\n", + "$130.8 million\n", + "\n", + "Julie Anne Robinson\n", + "$126.0 million\n", + "\n", + "Clint Eastwood\n", + "$124.7 million\n", + "\n", + "\n", + "Key Insights \n", + "\n", + " David Bowers leads the list with the highest total gross earnings ($189.6 million) across 3 movies.\n", + " Directors like Nicholas Stoller , Wes Anderson , and Julie Anne Robinson achieve significant success with fewer movies (only 2 each), suggesting their films perform exceptionally well at the box office.\n", + " Clint Eastwood , a legendary director, continues to attract large audiences despite working on fewer projects." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "id": "9iUJZFwz88B6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Runtime Data:\n", + " movie_id primary_title runtime_minutes\n", + "0 tt0063540 Sunghursh 175.0\n", + "1 tt0066787 One Day Before the Rainy Season 114.0\n", + "2 tt0069049 The Other Side of the Wind 122.0\n", + "3 tt0069204 Sabse Bada Sukh NaN\n", + "4 tt0100275 The Wandering Soap Opera 80.0\n" + ] + } + ], + "source": [ + "# Query to retrieve runtime information\n", + "query = \"\"\"\n", + "SELECT movie_id, primary_title, runtime_minutes\n", + "FROM movie_basics;\n", + "\"\"\"\n", + "runtime_df = pd.read_sql_query(query, conn)\n", + "\n", + "# Display the first few rows\n", + "print(\"Runtime Data:\")\n", + "print(runtime_df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "id": "8SSIL7ZT9oSv" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Merged Runtime and Gross Data:\n", + " title runtime_minutes total_gross\n", + "0 get him to the greek 109.0 91300000.0\n", + "1 the last song 107.0 89100000.0\n", + "2 letters to juliet 105.0 79100000.0\n", + "3 diary of a wimpy kid 94.0 75700000.0\n", + "4 easy a 92.0 75000000.0\n" + ] + } + ], + "source": [ + "# Normalize titles for merging (if necessary)\n", + "gross_df['title'] = gross_df['title'].str.strip().str.lower()\n", + "runtime_df['primary_title'] = runtime_df['primary_title'].str.strip().str.lower()\n", + "\n", + "# Merge gross earnings with runtime data\n", + "merged_runtime_df = pd.merge(gross_df, runtime_df, left_on='title', right_on='primary_title', how='inner')\n", + "\n", + "# Display the merged DataFrame\n", + "print(\"\\nMerged Runtime and Gross Data:\")\n", + "print(merged_runtime_df[['title', 'runtime_minutes', 'total_gross']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "id": "t3ox5xd09oQl" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "High-Grossing Movies:\n", + " title runtime_minutes total_gross\n", + "0 get him to the greek 109.0 91300000.0\n", + "1 the last song 107.0 89100000.0\n", + "2 letters to juliet 105.0 79100000.0\n", + "3 diary of a wimpy kid 94.0 75700000.0\n", + "4 easy a 92.0 75000000.0\n" + ] + } + ], + "source": [ + "# Filter for high-grossing movies (top 25%)\n", + "high_gross_movies = merged_runtime_df[merged_runtime_df['total_gross'] > merged_runtime_df['total_gross'].quantile(0.75)]\n", + "\n", + "# Display the filtered DataFrame\n", + "print(\"\\nHigh-Grossing Movies:\")\n", + "print(high_gross_movies[['title', 'runtime_minutes', 'total_gross']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "id": "apJVWDYP9zvz" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Average runtime of high-grossing movies: 103.08 minutes\n" + ] + } + ], + "source": [ + "# Calculate average runtime\n", + "average_runtime = high_gross_movies['runtime_minutes'].mean()\n", + "\n", + "# Display the result\n", + "print(f\"\\nAverage runtime of high-grossing movies: {average_runtime:.2f} minutes\")" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "id": "lQ7nybIQ95Bm" + }, + "outputs": [ + { + "data": { + "image/png": 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izp07p549e17WmIW9OHp4eBS7nyXh7+/v8Njd3b3Y9qysLEn///qj++67z+FN1c3NTVOmTJExRseOHZN04fbxmJgYzZ49W61atZK/v78GDx6stLS0Us83v4ZF/ezy8vJ0/Phxh/bS/O5L0o033qjmzZsXWPKvjbvU/PJvNvizwtokydvbW56eng5tHh4e9jpLUvv27R3q++c34lq1ahUaeKdOnWoPaUW5uC5Hjx6Vq6trgf202WwKDg62174kr0mDBg3S22+/rQMHDujee+9VYGCgWrRooaSkpCLnU5qalLbOlzJs2DAtX75c06ZNk5eXl+67775C+5W0RtKFU1lZWVlKSEiQJH3++edKTU0t9hSWdOFva9u2bQX+rnx9fWWMsQfHu+66S0uXLtX58+c1ePBg1axZU5GRkVq0aFGZalAZcTeWRaxYsUK5ubmXvF38L3/5i/7yl78oNzdXmzdv1iuvvKLY2FgFBQXp/vvvL9G2SvPZPYW9CeW35b/p5r8YXXzRYGn+B1eYGjVqKDU1tUD7b7/9JkkKCAi4rPElqXr16qpSpUq5badmzZr2ayjyr1caOHCgJk6cqJkzZ0pyrF9+QJMuv35XSn59XnnllSLvqMl/4wkICNCMGTM0Y8YMpaSkaNmyZfrnP/+p9PR0+/VmJZX/+1fUzy7/s43+rLSfW3U5atSooe+++65Ae1mCXb433nhDJ0+etD/+8+9mhw4d9Oqrr2rz5s0O1+2U5ELsi+tSo0YNnT9/Xn/88YfDm7kxRmlpafYjCVLJXpMeeughPfTQQzp9+rS++uorTZw4Ud26ddPPP/+s8PDw0hfiork6s859+vTRyJEjNXnyZP3tb3+Tl5dXkdstaY1uueUW3XHHHZo7d64efvhhzZ07V6GhoerYsWOxcwkICJCXl5fDRdMXr8/Xs2dP9ezZU9nZ2fr2228VHx+vAQMGqHbt2mrVqlVpSlApcWTHAlJSUjR+/Hj5+fnp4YcfLtFzXFxc1KJFC/uFm/mnlEpyNKM0du7cqR9++MGh7b333pOvr6/9LoL8UzLbtm1z6Lds2bIC45XmCET79u21Zs0ae+jIt2DBAnl7ezvlVlUfHx+1aNFCS5YscZhXXl6eFi5cqJo1azr181wefPBBRUdH66233rL/L7yo+i1fvrzM23H270Fx2rRpo+uuu067du0q9ChI8+bN7UeD/qxWrVoaNWqUOnToUKZTovXr19cNN9yg9957z+EU8OnTp/XRRx/Z79CqKFFRUTp58qQ+++wzh/b8/92XRf369R3q+ufToY899pi8vb01cuRIh0BUFvkfrbBw4UKH9o8++kinT58u9KMXinpN+jMfHx917txZTz31lHJycrRz587Lmqfk/Dp7eXnpmWeeUffu3TV8+PAi+5W2Rg899JD+97//af369Vq+fLliYmLk4uJS7Fy6deumX3/9VTVq1Cj076qw0+EeHh6KioqyX8T9/fffl2S3Kz2O7FxlduzYYT/vmp6erq+//lpz586Vi4uLEhMTiz08/vrrr2vNmjXq2rWratWqpaysLHviz/8wQl9fX4WHh+vjjz9W+/bt5e/vr4CAgDJfIxIaGqoePXooLi5OISEhWrhwoZKSkjRlyhT7G8ntt9+u+vXra/z48Tp//ryqV6+uxMTEQu+GadiwoZYsWaJZs2apWbNmqlKlSpF3j0ycOFGffPKJ2rZtq2eeeUb+/v569913tWLFCj3//PPy8/Mr0z5dLD4+Xh06dFDbtm01fvx4ubu767XXXtOOHTu0aNEipx8NmDJlilq0aKH//Oc/mj17trp06SJ/f38NGzZM//73v+Xq6qp58+bp4MGDZd5GZGSkJOnNN9+Ur6+vPD09FRERUez1AWVVtWpVvfLKK4qJidGxY8d03333KTAwUH/88Yd++OEH/fHHH5o1a5YyMjLUtm1bDRgwQDfffLN8fX21adMmrVy5Un369Cn1dqtUqaLnn39eDz74oLp166aHH35Y2dnZeuGFF3TixAlNnjzZ6ftaGjExMZo+fboGDhyo5557TjfddJM+++wzff755/b5O1OdOnW0aNEiPfDAA2rYsKGGDx9u/1DB9PR0+yd3l+RD6zp06KBOnTrpiSeeUGZmptq0aaNt27Zp4sSJuu222zRo0CBJJXtNyj860qZNG4WEhCgtLU3x8fHy8/NzOPpRVuVR57Fjx2rs2LHF9ilpjfI98MADGjt2rB544AFlZ2eX6JOSY2Nj9dFHH+muu+7SY489pkaNGikvL08pKSlatWqVxo0bpxYtWuiZZ57RoUOH1L59e9WsWVMnTpzQSy+9JDc3N6d9LlWFq8CLo1EK+XfW5C/u7u4mMDDQREVFmUmTJpn09PQCz7n4Lp2NGzea3r17m/DwcOPh4WFq1KhhoqKizLJlyxyet3r1anPbbbcZDw8PI8l+dX/+eH/88cclt2XMhTsDunbtaj788ENz6623Gnd3d1O7dm0zbdq0As//+eefTceOHU21atXM9ddfb0aPHm1WrFhR4A6LY8eOmfvuu89cd911xmazOWxThdxFtn37dtO9e3fj5+dn3N3dTePGjQvcXVHYnTrG/P87oi51N4Yxxnz99demXbt2xsfHx3h5eZmWLVua5cuXFzpeae7GKqpv3759jaurq/nll1+MMcZ89913pnXr1sbHx8fccMMNZuLEiWb27NmF3o3VtWvXAuNdfCeQMRfumoqIiDAuLi4OdSjqbqyRI0eWaB+Kqve6detM165djb+/v3FzczM33HCD6dq1q71fVlaWeeSRR0yjRo1MtWrVjJeXl6lfv76ZOHGi/c6+ohS1TWMu3DXWokUL4+npaXx8fEz79u3NN99849CnuN/90m7PGGNGjhx5ybuxjDEmJSXF9OnTx1StWtX4+vqae++913z66adGkvn444/t/WJiYoyPj0+B7RR1p15xfv31VzN69GhTv3594+XlZTw8PEx4eLjp27evSUxMdLizrri6nD171jzxxBMmPDzcuLm5mZCQEDN8+HBz/Phxe5+SvCbNnz/ftG3b1gQFBRl3d3cTGhpq+vXrZ7+bz5ii78YqaU1KWufCXOpnna+wO0lLUqM/GzBggJFk2rRpU+j6i+/GMsaYU6dOmX/961+mfv36xt3d3fj5+ZmGDRuaxx57zKSlpRljjPnkk09M586dzQ033GB/b+nSpYv5+uuvi92nq4nNmEr4RScAgEJNmjRJ//rXv5SSklLhn1puZdTZWjiNBQCVVP5F6Pnfh7dmzRq9/PLLGjhwIG/ATkSdrY+wAwCVlLe3t6ZPn679+/crOztbtWrV0hNPPKF//etfFT01S6HO1sdpLAAAYGnceg4AACyNsAMAACyNsAMAACyNC5R14dNuf/vtN/n6+l7Rj4MHAABlZ4zRyZMnFRoaWuwHQBJ2dOF7cC7+ZmwAAHB1OHjwYLEfE0DY0YWvSJAuFKskH4UOAAAqXmZmpsLCwuzv40Uh7Oj/f2NvtWrVCDsAAFxlLnUJChcoAwAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAAS3Ot6Ang2pKSkqIjR46Uy9gBAQGqVatWuYwNALh6EXZwxaSkpKh+/QbKyjpTLuN7enpr9+4fCTwAAAeEHVwxR44c+b+gs1BSAyeP/qOysgbqyJEjhB0AgAPCDipAA0lNK3oSAIBrBBcoAwAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAAS6vQsDNr1iw1atRI1apVU7Vq1dSqVSt99tln9vXGGMXFxSk0NFReXl6Kjo7Wzp07HcbIzs7W6NGjFRAQIB8fH/Xo0UOHDh260rsCAAAqqQoNOzVr1tTkyZO1efNmbd68We3atVPPnj3tgeb555/XtGnTNHPmTG3atEnBwcHq0KGDTp48aR8jNjZWiYmJSkhI0Pr163Xq1Cl169ZNubm5FbVbAACgMjGVTPXq1c3s2bNNXl6eCQ4ONpMnT7avy8rKMn5+fub11183xhhz4sQJ4+bmZhISEux9Dh8+bKpUqWJWrlxZ4m1mZGQYSSYjI8N5O4ICkpOTjSQjJRvJOHm5MHZycnJF7yYA4Aop6ft3pblmJzc3VwkJCTp9+rRatWqlffv2KS0tTR07drT38fDwUFRUlDZs2CBJSk5O1rlz5xz6hIaGKjIy0t4HAABc21wregLbt29Xq1atlJWVpapVqyoxMVG33HKLPawEBQU59A8KCtKBAwckSWlpaXJ3d1f16tUL9ElLSytym9nZ2crOzrY/zszMdNbuAACASqbCj+zUr19fW7du1bfffqvhw4crJiZGu3btsq+32WwO/Y0xBdoudqk+8fHx8vPzsy9hYWGXtxMAAKDSqvCw4+7urptuuknNmzdXfHy8GjdurJdeeknBwcGSVOAITXp6uv1oT3BwsHJycnT8+PEi+xRmwoQJysjIsC8HDx508l4BAIDKosLDzsWMMcrOzlZERISCg4OVlJRkX5eTk6N169apdevWkqRmzZrJzc3NoU9qaqp27Nhh71MYDw8P++3u+QsAALCmCr1m58knn1Tnzp0VFhamkydPKiEhQV9++aVWrlwpm82m2NhYTZo0SXXr1lXdunU1adIkeXt7a8CAAZIkPz8/DRs2TOPGjVONGjXk7++v8ePHq2HDhrr77rsrctcAAEAlUaFh5/fff9egQYOUmpoqPz8/NWrUSCtXrlSHDh0kSY8//rjOnj2rESNG6Pjx42rRooVWrVolX19f+xjTp0+Xq6ur+vXrp7Nnz6p9+/aaN2+eXFxcKmq3AABAJWIzxpiKnkRFy8zMlJ+fnzIyMjilVY62bNmiZs2aSUqW1NTZo0tqpuTkZDVt6uyxAQCVUUnfvyvdNTsAAADORNgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWRtgBAACWVqFhJz4+Xrfffrt8fX0VGBioXr16affu3Q59hgwZIpvN5rC0bNnSoU92drZGjx6tgIAA+fj4qEePHjp06NCV3BUAAFBJVWjYWbdunUaOHKlvv/1WSUlJOn/+vDp27KjTp0879LvnnnuUmppqXz799FOH9bGxsUpMTFRCQoLWr1+vU6dOqVu3bsrNzb2SuwMAACoh14rc+MqVKx0ez507V4GBgUpOTtZdd91lb/fw8FBwcHChY2RkZGjOnDl65513dPfdd0uSFi5cqLCwMK1evVqdOnUqvx0AAACVXqW6ZicjI0OS5O/v79D+5ZdfKjAwUPXq1dPf/vY3paen29clJyfr3Llz6tixo70tNDRUkZGR2rBhQ6Hbyc7OVmZmpsMCAACsqdKEHWOMxo4dqzvvvFORkZH29s6dO+vdd9/VmjVrNHXqVG3atEnt2rVTdna2JCktLU3u7u6qXr26w3hBQUFKS0srdFvx8fHy8/OzL2FhYeW3YwAAoEJV6GmsPxs1apS2bdum9evXO7T379/f/u/IyEg1b95c4eHhWrFihfr06VPkeMYY2Wy2QtdNmDBBY8eOtT/OzMwk8AAAYFGV4sjO6NGjtWzZMq1du1Y1a9Ystm9ISIjCw8O1Z88eSVJwcLBycnJ0/Phxh37p6ekKCgoqdAwPDw9Vq1bNYQEAANZUoWHHGKNRo0ZpyZIlWrNmjSIiIi75nKNHj+rgwYMKCQmRJDVr1kxubm5KSkqy90lNTdWOHTvUunXrcps7AAC4OlToaayRI0fqvffe08cffyxfX1/7NTZ+fn7y8vLSqVOnFBcXp3vvvVchISHav3+/nnzySQUEBKh37972vsOGDdO4ceNUo0YN+fv7a/z48WrYsKH97iwAAHDtqtCwM2vWLElSdHS0Q/vcuXM1ZMgQubi4aPv27VqwYIFOnDihkJAQtW3bVosXL5avr6+9//Tp0+Xq6qp+/frp7Nmzat++vebNmycXF5cruTsAAKASqtCwY4wpdr2Xl5c+//zzS47j6empV155Ra+88oqzpgYAACyiUlygDAAAUF4IOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNIIOwAAwNLKFHb27dvn7HkAAACUizKFnZtuuklt27bVwoULlZWVVeaNx8fH6/bbb5evr68CAwPVq1cv7d6926GPMUZxcXEKDQ2Vl5eXoqOjtXPnToc+2dnZGj16tAICAuTj46MePXro0KFDZZ4XAACwjjKFnR9++EG33Xabxo0bp+DgYD388MP67rvvSj3OunXrNHLkSH377bdKSkrS+fPn1bFjR50+fdre5/nnn9e0adM0c+ZMbdq0ScHBwerQoYNOnjxp7xMbG6vExEQlJCRo/fr1OnXqlLp166bc3Nyy7B4AALAScxnOnTtnlixZYnr06GHc3NzMLbfcYqZOnWrS09PLNF56erqRZNatW2eMMSYvL88EBwebyZMn2/tkZWUZPz8/8/rrrxtjjDlx4oRxc3MzCQkJ9j6HDx82VapUMStXrizRdjMyMowkk5GRUaZ5o2SSk5ONJCMlG8k4ebkwdnJyckXvJgDgCinp+/dlXaDs6uqq3r176/3339eUKVP066+/avz48apZs6YGDx6s1NTUUo2XkZEhSfL395d04dqgtLQ0dezY0d7Hw8NDUVFR2rBhgyQpOTlZ586dc+gTGhqqyMhIe5+LZWdnKzMz02EBAADWdFlhZ/PmzRoxYoRCQkI0bdo0jR8/Xr/++qvWrFmjw4cPq2fPniUeyxijsWPH6s4771RkZKQkKS0tTZIUFBTk0DcoKMi+Li0tTe7u7qpevXqRfS4WHx8vPz8/+xIWFlbieQIAgKuLa1meNG3aNM2dO1e7d+9Wly5dtGDBAnXp0kVVqlzIThEREXrjjTd08803l3jMUaNGadu2bVq/fn2BdTabzeGxMaZA28WK6zNhwgSNHTvW/jgzM5PAAwCARZUp7MyaNUtDhw7VQw89pODg4EL71KpVS3PmzCnReKNHj9ayZcv01VdfqWbNmvb2/LHT0tIUEhJib09PT7cf7QkODlZOTo6OHz/ucHQnPT1drVu3LnR7Hh4e8vDwKNHcAADA1a1Mp7H27NmjCRMmFBl0JMnd3V0xMTHFjmOM0ahRo7RkyRKtWbNGERERDusjIiIUHByspKQke1tOTo7WrVtnDzLNmjWTm5ubQ5/U1FTt2LGjyLADAACuHWU6sjN37lxVrVpVffv2dWj/4IMPdObMmUuGnHwjR47Ue++9p48//li+vr72a2z8/Pzk5eUlm82m2NhYTZo0SXXr1lXdunU1adIkeXt7a8CAAfa+w4YN07hx41SjRg35+/tr/Pjxatiwoe6+++6y7B4AALCQMh3ZmTx5sgICAgq0BwYGatKkSSUeZ9asWcrIyFB0dLRCQkLsy+LFi+19Hn/8ccXGxmrEiBFq3ry5Dh8+rFWrVsnX19feZ/r06erVq5f69eunNm3ayNvbW8uXL5eLi0tZdg8AAFiIzRhjSvskT09P/fTTT6pdu7ZD+/79+9WgQQOdPXvWWfO7IjIzM+Xn56eMjAxVq1atoqdjWVu2bFGzZs0kJUtq6uzRJTVTcnKymjZ19tgAgMqopO/fZTqyExgYqG3bthVo/+GHH1SjRo2yDAkAAFAuyhR27r//fj366KNau3atcnNzlZubqzVr1mjMmDG6//77nT1HAACAMivTBcrPPfecDhw4oPbt28vV9cIQeXl5Gjx4cKmu2QEAAChvZQo77u7uWrx4sf7zn//ohx9+kJeXlxo2bKjw8HBnzw8AAOCylCns5KtXr57q1avnrLkAAAA4XZnCTm5urubNm6cvvvhC6enpysvLc1i/Zs0ap0wOAADgcpUp7IwZM0bz5s1T165dFRkZecnvqQIAAKgoZQo7CQkJev/999WlSxdnzwcAAMCpynTrubu7u2666SZnzwUAAMDpyhR2xo0bp5deekll+PBlAACAK6pMp7HWr1+vtWvX6rPPPtOtt94qNzc3h/VLlixxyuQAAAAuV5nCznXXXafevXs7ey4AAABOV6awM3fuXGfPAwAAoFyU6ZodSTp//rxWr16tN954QydPnpQk/fbbbzp16pTTJgcAAHC5ynRk58CBA7rnnnuUkpKi7OxsdejQQb6+vnr++eeVlZWl119/3dnzBAAAKJMyHdkZM2aMmjdvruPHj8vLy8ve3rt3b33xxRdOmxwAAMDlKvPdWN98843c3d0d2sPDw3X48GGnTAwAAMAZynRkJy8vT7m5uQXaDx06JF9f38ueFAAAgLOUKex06NBBM2bMsD+22Ww6deqUJk6cyFdIAACASqVMp7GmT5+utm3b6pZbblFWVpYGDBigPXv2KCAgQIsWLXL2HAEAAMqsTGEnNDRUW7du1aJFi7Rlyxbl5eVp2LBhevDBBx0uWAYAAKhoZQo7kuTl5aWhQ4dq6NChzpwPAACAU5Up7CxYsKDY9YMHDy7TZFB5pKSk6MiRI04d88cff3TqeAAAlESZws6YMWMcHp87d05nzpyRu7u7vL29CTtXuZSUFNWv30BZWWcqeioAAFy2MoWd48ePF2jbs2ePhg8frn/84x+XPSlUrCNHjvxf0FkoqYETR/5U0tNOHA8AgEsr8zU7F6tbt64mT56sgQMH6qeffnLWsKhQDSQ1deJ4nMYCAFx5Zf4i0MK4uLjot99+c+aQAAAAl6VMR3aWLVvm8NgYo9TUVM2cOVNt2rRxysQAAACcoUxhp1evXg6PbTabrr/+erVr105Tp051xrwAAACcokxhJy8vz9nzAAAAKBdOvWYHAACgsinTkZ2xY8eWuO+0adPKsgkAAACnKFPY+f7777VlyxadP39e9evXlyT9/PPPcnFxUdOm//9WZZvN5pxZAgAAlFGZwk737t3l6+ur+fPnq3r16pIufNDgQw89pL/85S8aN26cUycJAABQVmW6Zmfq1KmKj4+3Bx1Jql69up577jnuxgIAAJVKmcJOZmamfv/99wLt6enpOnny5GVPCgAAwFnKFHZ69+6thx56SB9++KEOHTqkQ4cO6cMPP9SwYcPUp08fZ88RAACgzMp0zc7rr7+u8ePHa+DAgTp37tyFgVxdNWzYML3wwgtOnSAAAMDlKFPY8fb21muvvaYXXnhBv/76q4wxuummm+Tj4+Ps+QEAAFyWy/pQwdTUVKWmpqpevXry8fGRMcZZ8wIAAHCKMoWdo0ePqn379qpXr566dOmi1NRUSdJf//pXbjsHAACVSpnCzmOPPSY3NzelpKTI29vb3t6/f3+tXLnSaZMDAAC4XGUKO6tWrdKUKVNUs2ZNh/a6devqwIEDJR7nq6++Uvfu3RUaGiqbzaalS5c6rB8yZIhsNpvD0rJlS4c+2dnZGj16tAICAuTj46MePXro0KFDZdktAABgQWUKO6dPn3Y4opPvyJEj8vDwKNU4jRs31syZM4vsc88999ivDUpNTdWnn37qsD42NlaJiYlKSEjQ+vXrderUKXXr1k25ubkl3yEAAGBZZbob66677tKCBQv0n//8R9KF78DKy8vTCy+8oLZt25Z4nM6dO6tz587F9vHw8FBwcHCh6zIyMjRnzhy98847uvvuuyVJCxcuVFhYmFavXq1OnTqVeC4AAMCayhR2XnjhBUVHR2vz5s3KycnR448/rp07d+rYsWP65ptvnDrBL7/8UoGBgbruuusUFRWl//73vwoMDJQkJScn69y5c+rYsaO9f2hoqCIjI7Vhw4Yiw052drays7PtjzMzM506ZwAAUHmU6TTWLbfcom3btumOO+5Qhw4ddPr0afXp00fff/+96tSp47TJde7cWe+++67WrFmjqVOnatOmTWrXrp09qKSlpcnd3d3hO7okKSgoSGlpaUWOGx8fLz8/P/sSFhbmtDkDAIDKpdRHdvKPpLzxxht69tlny2NOdv3797f/OzIyUs2bN1d4eLhWrFhR7NdSGGNks9mKXD9hwgSNHTvW/jgzM5PAAwCARZX6yI6bm5t27NhRbJgoLyEhIQoPD9eePXskScHBwcrJydHx48cd+qWnpysoKKjIcTw8PFStWjWHBQAAWFOZTmMNHjxYc+bMcfZcLuno0aM6ePCgQkJCJEnNmjWTm5ubkpKS7H1SU1O1Y8cOtW7d+orPDwAAVD5lukA5JydHs2fPVlJSkpo3b17gO7GmTZtWonFOnTqlX375xf5437592rp1q/z9/eXv76+4uDjde++9CgkJ0f79+/Xkk08qICBAvXv3liT5+flp2LBhGjdunGrUqCF/f3+NHz9eDRs2tN+dBQAArm2lCjt79+5V7dq1tWPHDjVt2lSS9PPPPzv0Kc3prc2bNzvcqp5/HU1MTIxmzZql7du3a8GCBTpx4oRCQkLUtm1bLV68WL6+vvbnTJ8+Xa6ururXr5/Onj2r9u3ba968eXJxcSnNrgEAAIsqVdipW7euUlNTtXbtWkkXLiB++eWXi70+pjjR0dHFfnno559/fskxPD099corr+iVV14p0xwAAIC1leqanYuDyWeffabTp087dUIAAADOVKYLlPMVd1QGAACgMihV2Mn/Ms6L2wAAACqrUl2zY4zRkCFD7F/2mZWVpUceeaTA3VhLlixx3gwBAAAuQ6nCTkxMjMPjgQMHOnUyAAAAzlaqsDN37tzymgcAAEC5uKwLlAEAACo7wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALA0wg4AALC0Cg07X331lbp3767Q0FDZbDYtXbrUYb0xRnFxcQoNDZWXl5eio6O1c+dOhz7Z2dkaPXq0AgIC5OPjox49eujQoUNXcC8AAEBlVqFh5/Tp02rcuLFmzpxZ6Prnn39e06ZN08yZM7Vp0yYFBwerQ4cOOnnypL1PbGysEhMTlZCQoPXr1+vUqVPq1q2bcnNzr9RuAACASsy1IjfeuXNnde7cudB1xhjNmDFDTz31lPr06SNJmj9/voKCgvTee+/p4YcfVkZGhubMmaN33nlHd999tyRp4cKFCgsL0+rVq9WpU6crti8AAKByqrTX7Ozbt09paWnq2LGjvc3Dw0NRUVHasGGDJCk5OVnnzp1z6BMaGqrIyEh7n8JkZ2crMzPTYQEAANZUacNOWlqaJCkoKMihPSgoyL4uLS1N7u7uql69epF9ChMfHy8/Pz/7EhYW5uTZAwCAyqLShp18NpvN4bExpkDbxS7VZ8KECcrIyLAvBw8edMpcAQBA5VNpw05wcLAkFThCk56ebj/aExwcrJycHB0/frzIPoXx8PBQtWrVHBYAAGBNlTbsREREKDg4WElJSfa2nJwcrVu3Tq1bt5YkNWvWTG5ubg59UlNTtWPHDnsfAABwbavQu7FOnTqlX375xf5437592rp1q/z9/VWrVi3FxsZq0qRJqlu3rurWratJkybJ29tbAwYMkCT5+flp2LBhGjdunGrUqCF/f3+NHz9eDRs2tN+dBQAArm0VGnY2b96stm3b2h+PHTtWkhQTE6N58+bp8ccf19mzZzVixAgdP35cLVq00KpVq+Tr62t/zvTp0+Xq6qp+/frp7Nmzat++vebNmycXF5crvj8AAKDysRljTEVPoqJlZmbKz89PGRkZXL8jacuWLWrWrJmkZElNnTjyu5IGlsO4krRFUjMlJyeraVNnjw0AqIxK+v5daa/ZAQAAcAbCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTCDgAAsDTXip4A4Ew//vij08cMCAhQrVq1nD4uAODKIOzAIlIlVdHAgQOdPrKnp7d27/6RwAMAVynCDizihKQ8SQslNXDiuD8qK2ugjhw5QtgBgKsUYQcW00BS04qeBACgEuECZQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmVOuzExcXJZrM5LMHBwfb1xhjFxcUpNDRUXl5eio6O1s6dOytwxgAAoLKp1GFHkm699Valpqbal+3bt9vXPf/885o2bZpmzpypTZs2KTg4WB06dNDJkycrcMYAAKAyqfRhx9XVVcHBwfbl+uuvl3ThqM6MGTP01FNPqU+fPoqMjNT8+fN15swZvffeexU8awAAUFlU+rCzZ88ehYaGKiIiQvfff7/27t0rSdq3b5/S0tLUsWNHe18PDw9FRUVpw4YNFTVdAABQybhW9ASK06JFCy1YsED16tXT77//rueee06tW7fWzp07lZaWJkkKCgpyeE5QUJAOHDhQ7LjZ2dnKzs62P87MzHT+5AEAQKVQqcNO586d7f9u2LChWrVqpTp16mj+/Plq2bKlJMlmszk8xxhToO1i8fHxevbZZ50/YQAAUOlU+tNYf+bj46OGDRtqz5499ruy8o/w5EtPTy9wtOdiEyZMUEZGhn05ePBguc0ZAABUrKsq7GRnZ+vHH39USEiIIiIiFBwcrKSkJPv6nJwcrVu3Tq1bty52HA8PD1WrVs1hAQAA1lSpT2ONHz9e3bt3V61atZSenq7nnntOmZmZiomJkc1mU2xsrCZNmqS6deuqbt26mjRpkry9vTVgwICKnjoAAKgkKnXYOXTokB544AEdOXJE119/vVq2bKlvv/1W4eHhkqTHH39cZ8+e1YgRI3T8+HG1aNFCq1atkq+vbwXPHAAAVBaVOuwkJCQUu95msykuLk5xcXFXZkIAAOCqc1VdswMAAFBahB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBphB0AAGBprhU9AZRdSkqKjhw54vRxf/zxR6ePCQBARSHsXKVSUlJUv34DZWWdqeipAABQqRF2rlJHjhz5v6CzUFIDJ4/+qaSnnTwmAAAVg7Bz1WsgqamTx+Q0FgDAOrhAGQAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWJprRU/A6lJSUnTkyBGnj/vjjz86fUwAAKyIsFOOUlJSVL9+A2VlnanoqQAAcM0i7JSjI0eO/F/QWSipgZNH/1TS004eEwAA6yHsXBENJDV18picxrqSyuu0YUBAgGrVqlUuYwMALiDsAMVKlVRFAwcOLJfRPT29tXv3jwQeAChHlgk7r732ml544QWlpqbq1ltv1YwZM/SXv/yloqeFq94JSXkqn1ORPyora6COHDlC2AGAcmSJsLN48WLFxsbqtddeU5s2bfTGG2+oc+fO2rVrF28icJLyOBUJALgSLPE5O9OmTdOwYcP017/+VQ0aNNCMGTMUFhamWbNmVfTUAABABbvqj+zk5OQoOTlZ//znPx3aO3bsqA0bNlTQrAAAuPqU12fDVfTNGFd92Dly5Ihyc3MVFBTk0B4UFKS0tLRCn5Odna3s7Gz744yMDElSZmamU+d26tSp//tXsqRTxXUtg/y7g66msZmzo90XRk5O/tPvinNUqVJFeXl5Th2zvMdmzlf/2Mz5yoxdXuP+/vvvGjgwRjk5Z50+toeHl5KTNyksLMyp4+a/bxtjiu9ornKHDx82ksyGDRsc2p977jlTv379Qp8zceJEI4mFhYWFhYXFAsvBgweLzQpX/ZGdgIAAubi4FDiKk56eXuBoT74JEyZo7Nix9sd5eXk6duyYatSoIZvNdtlzyszMVFhYmA4ePKhq1apd9nhWRI0ujRoVj/pcGjW6NGp0aZW5RsYYnTx5UqGhocX2u+rDjru7u5o1a6akpCT17t3b3p6UlKSePXsW+hwPDw95eHg4tF133XVOn1u1atUq3S9GZUONLo0aFY/6XBo1ujRqdGmVtUZ+fn6X7HPVhx1JGjt2rAYNGqTmzZurVatWevPNN5WSkqJHHnmkoqcGAAAqmCXCTv/+/XX06FH9+9//VmpqqiIjI/Xpp58qPDy8oqcGAAAqmCXCjiSNGDFCI0aMqOhpSLpwmmzixIkFTpXh/6NGl0aNikd9Lo0aXRo1ujQr1MhmzKXu1wIAALh6WeITlAEAAIpC2AEAAJZG2AEAAJZG2AEAAJZG2CkHr732miIiIuTp6almzZrp66+/rugpXRFfffWVunfvrtDQUNlsNi1dutRhvTFGcXFxCg0NlZeXl6Kjo7Vz506HPtnZ2Ro9erQCAgLk4+OjHj166NChQ1dwL8pPfHy8br/9dvn6+iowMFC9evXS7t27Hfpc6zWaNWuWGjVqZP/wslatWumzzz6zr7/W61OY+Ph42Ww2xcbG2tuu9TrFxcXJZrM5LMHBwfb113p9JOnw4cMaOHCgatSoIW9vbzVp0kTJycn29Zar0eV+NxUcJSQkGDc3N/PWW2+ZXbt2mTFjxhgfHx9z4MCBip5aufv000/NU089ZT766CMjySQmJjqsnzx5svH19TUfffSR2b59u+nfv78JCQkxmZmZ9j6PPPKIueGGG0xSUpLZsmWLadu2rWncuLE5f/78Fd4b5+vUqZOZO3eu2bFjh9m6davp2rWrqVWrljl16pS9z7Veo2XLlpkVK1aY3bt3m927d5snn3zSuLm5mR07dhhjqM/FvvvuO1O7dm3TqFEjM2bMGHv7tV6niRMnmltvvdWkpqbal/T0dPv6a70+x44dM+Hh4WbIkCHmf//7n9m3b59ZvXq1+eWXX+x9rFYjwo6T3XHHHeaRRx5xaLv55pvNP//5zwqaUcW4OOzk5eWZ4OBgM3nyZHtbVlaW8fPzM6+//roxxpgTJ04YNzc3k5CQYO9z+PBhU6VKFbNy5corNvcrJT093Ugy69atM8ZQo6JUr17dzJ49m/pc5OTJk6Zu3bomKSnJREVF2cMOdboQdho3blzoOupjzBNPPGHuvPPOItdbsUacxnKinJwcJScnq2PHjg7tHTt21IYNGypoVpXDvn37lJaW5lAbDw8PRUVF2WuTnJysc+fOOfQJDQ1VZGSkJeuXkZEhSfL395dEjS6Wm5urhIQEnT59Wq1ataI+Fxk5cqS6du2qu+++26GdOl2wZ88ehYaGKiIiQvfff7/27t0rifpI0rJly9S8eXP17dtXgYGBuu222/TWW2/Z11uxRoQdJzpy5Ihyc3MLfNt6UFBQgW9lv9bk739xtUlLS5O7u7uqV69eZB+rMMZo7NixuvPOOxUZGSmJGuXbvn27qlatKg8PDz3yyCNKTEzULbfcQn3+JCEhQVu2bFF8fHyBddRJatGihRYsWKDPP/9cb731ltLS0tS6dWsdPXqU+kjau3evZs2apbp16+rzzz/XI488okcffVQLFiyQZM3fIct8XURlYrPZHB4bYwq0XavKUhsr1m/UqFHatm2b1q9fX2DdtV6j+vXra+vWrTpx4oQ++ugjxcTEaN26dfb113p9Dh48qDFjxmjVqlXy9PQsst+1XKfOnTvb/92wYUO1atVKderU0fz589WyZUtJ13Z98vLy1Lx5c02aNEmSdNttt2nnzp2aNWuWBg8ebO9npRpxZMeJAgIC5OLiUiDVpqenF0jI15r8OyGKq01wcLBycnJ0/PjxIvtYwejRo7Vs2TKtXbtWNWvWtLdTowvc3d110003qXnz5oqPj1fjxo310ksvUZ//k5ycrPT0dDVr1kyurq5ydXXVunXr9PLLL8vV1dW+n9d6nf7Mx8dHDRs21J49e/g9khQSEqJbbrnFoa1BgwZKSUmRZM3XIsKOE7m7u6tZs2ZKSkpyaE9KSlLr1q0raFaVQ0REhIKDgx1qk5OTo3Xr1tlr06xZM7m5uTn0SU1N1Y4dOyxRP2OMRo0apSVLlmjNmjWKiIhwWE+NCmeMUXZ2NvX5P+3bt9f27du1detW+9K8eXM9+OCD2rp1q2688UbqdJHs7Gz9+OOPCgkJ4fdIUps2bQp87MXPP/+s8PBwSRZ9Lbry10RbW/6t53PmzDG7du0ysbGxxsfHx+zfv7+ip1buTp48ab7//nvz/fffG0lm2rRp5vvvv7ffdj958mTj5+dnlixZYrZv324eeOCBQm9lrFmzplm9erXZsmWLadeuXaW9lbG0hg8fbvz8/MyXX37pcEvsmTNn7H2u9RpNmDDBfPXVV2bfvn1m27Zt5sknnzRVqlQxq1atMsZQn6L8+W4sY6jTuHHjzJdffmn27t1rvv32W9OtWzfj6+trfx2+1uvz3XffGVdXV/Pf//7X7Nmzx7z77rvG29vbLFy40N7HajUi7JSDV1991YSHhxt3d3fTtGlT+63FVrd27VojqcASExNjjLlwO+PEiRNNcHCw8fDwMHfddZfZvn27wxhnz541o0aNMv7+/sbLy8t069bNpKSkVMDeOF9htZFk5s6da+9zrddo6NCh9r+d66+/3rRv394edIyhPkW5OOxc63XK/0wYNzc3Exoaavr06WN27txpX3+t18cYY5YvX24iIyONh4eHufnmm82bb77psN5qNbIZY0zFHFMCAAAof1yzAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wA6DcDRkyRL169aqw7Q8aNMj+Dc9lNW/ePF133XXOmVA5u/3227VkyZKKngZQaRB2gGvAkCFDZLPZZLPZ5Orqqlq1amn48OEFvrH4cu3fv182m01bt251aH/ppZc0b948p26rpLZt26YVK1Zo9OjRlzVO//799fPPPztpVv+fzWbT0qVLnTrm008/rX/+85/Ky8tz6rjA1YqwA1wj7rnnHqWmpmr//v2aPXu2li9frhEjRlyRbfv5+VXYUZGZM2eqb9++8vX1vaxxvLy8FBgY6KRZla+uXbsqIyNDn3/+eUVPBagUCDvANcLDw0PBwcGqWbOmOnbsqP79+2vVqlX29dHR0YqNjXV4Tq9evTRkyBD749q1a2vSpEkaOnSofH19VatWLb355pv29REREZKk2267TTabTdHR0ZIKnsaKjo7W6NGjFRsbq+rVqysoKEhvvvmmTp8+rYceeki+vr6qU6eOPvvsM4f57Nq1S126dFHVqlUVFBSkQYMG6ciRI0Xuc15enj744AP16NHDob127dp67rnnNHjwYFWtWlXh4eH6+OOP9ccff6hnz56qWrWqGjZsqM2bN9ufc/FprLi4ODVp0kTvvPOOateuLT8/P91///06efKkw3ZmzJjhsO0mTZooLi7Ovl6SevfuLZvNZn8sScuXL1ezZs3k6empG2+8Uc8++6zOnz/vsP1atWrJw8NDoaGhevTRR+3rXFxc1KVLFy1atKjI2gDXEsIOcA3au3evVq5cKTc3t1I/d+rUqWrevLm+//57jRgxQsOHD9dPP/0kSfruu+8kSatXr1Zqamqx143Mnz9fAQEB+u677zR69GgNHz5cffv2VevWrbVlyxZ16tRJgwYN0pkzZyRJqampioqKUpMmTbR582atXLlSv//+u/r161fkNrZt26YTJ06oefPmBdZNnz5dbdq00ffff6+uXbtq0KBBGjx4sAYOHKgtW7bopptu0uDBg1XcdyX/+uuvWrp0qT755BN98sknWrdunSZPnlyiOkrSpk2bJElz585Vamqq/fHnn3+ugQMH6tFHH9WuXbv0xhtvaN68efrvf/8rSfrwww81ffp0vfHGG9qzZ4+WLl2qhg0bOox9xx136Ouvvy7xXABLq+BvXQdwBcTExBgXFxfj4+NjPD09jSQjyUybNs3eJyoqyowZM8bheT179jQxMTH2x+Hh4WbgwIH2x3l5eSYwMNDMmjXLGGPMvn37jCTz/fffF9h+z549HbZ155132h+fP3/e+Pj4mEGDBtnbUlNTjSSzceNGY4wxTz/9tOnYsaPDuAcPHjSSzO7duwvd78TEROPi4mLy8vIc2i/ej/xtPf300/a2jRs3GkkmNTXVGGPM3LlzjZ+fn339xIkTjbe3t8nMzLS3/eMf/zAtWrRw2M706dMdtt24cWMzceJE+2NJJjEx0aHPX/7yFzNp0iSHtnfeeceEhIQYY4yZOnWqqVevnsnJySl0v40x5uOPPzZVqlQxubm5RfYBrhUc2QGuEW3bttXWrVv1v//9T6NHj1anTp3KdNFuo0aN7P+22WwKDg5Wenr6ZY3j4uKiGjVqOBydCAoKkiT72MnJyVq7dq2qVq1qX26++WZJF46wFObs2bPy8PCQzWYrdvv52ypu+4WpXbu2w7VAISEhZarFxZKTk/Xvf//bYV//9re/KTU1VWfOnFHfvn119uxZ3Xjjjfrb3/6mxMREh1Nc0oVrjPLy8pSdnX3Z8wGudq4VPQEAV4aPj49uuukmSdLLL7+stm3b6tlnn9V//vMfSVKVKlUKnLI5d+5cgXEuPvVls9nKdNdPYeP8uS0/oOSPnZeXp+7du2vKlCkFxgoJCSl0GwEBATpz5oxycnLk7u5e5Pbzt1Xc9ku6D3/uX9KaXiwvL0/PPvus+vTpU2Cdp6enwsLCtHv3biUlJWn16tUaMWKEXnjhBa1bt84+p2PHjsnb21teXl6X3B5gdYQd4Bo1ceJEde7cWcOHD1doaKiuv/56paam2tfn5uZqx44datu2bYnHzA8Uubm5Tp9v06ZN9dFHH6l27dpydS3ZS1eTJk0kXbiwOf/fV9LFNc3MzNS+ffsc+ri5uRWoV9OmTbV79257OC2Ml5eXevTooR49emjkyJG6+eabtX37djVt2lSStGPHDvu/gWsdp7GAa1R0dLRuvfVW+4fttWvXTitWrNCKFSv0008/acSIETpx4kSpxgwMDJSXl5f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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# Plot histogram of runtimes for high-grossing movies\n", + "plt.hist(high_gross_movies['runtime_minutes'], bins=20, color='blue', edgecolor='black')\n", + "plt.title(\"Distribution of Runtimes for High-Grossing Movies\")\n", + "plt.xlabel(\"Runtime (minutes)\")\n", + "plt.ylabel(\"Frequency\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "I620HjIA-GPM" + }, + "source": [ + "** A runtime of approximately 125 minutes is ideal for maximizing audience engagement.\n", + " Movies outside the 100โ€“150 minute range may struggle to attract large audiences unless they belong to specific genres (e.g., epics or documentaries).\n", + " **" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + }, + "vscode": { + "interpreter": { + "hash": "dc07d24e2f18896857f0b2a651fe84ba40ce7b297e58d8804a308c8039f752a6" + } + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/workpad.ipynb b/workpad.ipynb new file mode 100644 index 00000000..54ccbb3c --- /dev/null +++ b/workpad.ipynb @@ -0,0 +1,577 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 5782 entries, 0 to 5781\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 5782 non-null int64 \n", + " 1 release_date 5782 non-null object\n", + " 2 movie 5782 non-null object\n", + " 3 production_budget 5782 non-null object\n", + " 4 domestic_gross 5782 non-null object\n", + " 5 worldwide_gross 5782 non-null object\n", + "dtypes: int64(1), object(5)\n", + "memory usage: 271.2+ KB\n" + ] + } + ], + "source": [ + "# open the data set tn.movie_budgets.csv.gz\n", + "import pandas as pd\n", + "\n", + "df_budget = pd.read_csv('zippedData/tn.movie_budgets.csv.gz')\n", + "df_budget.head() \n", + "df_budget.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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idrelease_datemovieproduction_budgetdomestic_grossworldwide_grosspredicted_grossrelease_yearROI
01Dec 18, 2009Avatar425000000.0760507625.02.776345e+091.321665e+0920096.532577
12May 20, 2011Pirates of the Caribbean: On Stranger Tides410600000.0241063875.01.045664e+091.276637e+0920112.546673
23Jun 7, 2019Dark Phoenix350000000.042762350.01.497624e+081.087145e+0920190.427892
34May 1, 2015Avengers: Age of Ultron330600000.0459005868.01.403014e+091.026482e+0920154.243841
45Dec 15, 2017Star Wars Ep. VIII: The Last Jedi317000000.0620181382.01.316722e+099.839554e+0820174.153696
\n", + "
" + ], + "text/plain": [ + " id release_date movie \\\n", + "0 1 Dec 18, 2009 Avatar \n", + "1 2 May 20, 2011 Pirates of the Caribbean: On Stranger Tides \n", + "2 3 Jun 7, 2019 Dark Phoenix \n", + "3 4 May 1, 2015 Avengers: Age of Ultron \n", + "4 5 Dec 15, 2017 Star Wars Ep. VIII: The Last Jedi \n", + "\n", + " production_budget domestic_gross worldwide_gross predicted_gross \\\n", + "0 425000000.0 760507625.0 2.776345e+09 1.321665e+09 \n", + "1 410600000.0 241063875.0 1.045664e+09 1.276637e+09 \n", + "2 350000000.0 42762350.0 1.497624e+08 1.087145e+09 \n", + "3 330600000.0 459005868.0 1.403014e+09 1.026482e+09 \n", + "4 317000000.0 620181382.0 1.316722e+09 9.839554e+08 \n", + "\n", + " release_year ROI \n", + "0 2009 6.532577 \n", + "1 2011 2.546673 \n", + "2 2019 0.427892 \n", + "3 2015 4.243841 \n", + "4 2017 4.153696 " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_budget.head() " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "id 0\n", + "release_date 0\n", + "movie 0\n", + "production_budget 0\n", + "domestic_gross 0\n", + "worldwide_gross 0\n", + "dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check for missing values\n", + "df_budget.isnull().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Zero values in monetary columns:\n", + "Production budget: 0\n", + "Domestic gross: 548\n", + "Worldwide gross: 367\n" + ] + } + ], + "source": [ + "# check for 0 values in the monetary columns which might indicate missing data even if there are no NULL values\n", + "budget_col = (df_budget['production_budget'] == '$0').sum()\n", + "domestic_col = (df_budget['domestic_gross'] == '$0').sum()\n", + "worldwide_col = (df_budget['worldwide_gross'] == '$0').sum()\n", + "\n", + "print(\"Zero values in monetary columns:\")\n", + "print(f\"Production budget: {budget_col}\")\n", + "print(f\"Domestic gross: {domestic_col}\")\n", + "print(f\"Worldwide gross: {worldwide_col}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id int64\n", + "release_date object\n", + "movie object\n", + "production_budget float64\n", + "domestic_gross float64\n", + "worldwide_gross float64\n", + "dtype: object\n" + ] + } + ], + "source": [ + "# clean and convert monetary values to float\n", + "# identify monetary columns\n", + "monetary_columns = [\"production_budget\", \"domestic_gross\", \"worldwide_gross\"]\n", + "# clean the monetary_columns\n", + "for col in monetary_columns:\n", + " df_budget[col] = df_budget[col].replace('[$,]', '', regex=True).astype(float)\n", + "print(df_budget.dtypes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " movie release_date domestic_gross \\\n", + "0 Avatar Dec 18, 2009 760507625.0 \n", + "1 Pirates of the Caribbean: On Stranger Tides May 20, 2011 241063875.0 \n", + "2 Dark Phoenix Jun 7, 2019 42762350.0 \n", + "3 Avengers: Age of Ultron May 1, 2015 459005868.0 \n", + "4 Star Wars Ep. VIII: The Last Jedi Dec 15, 2017 620181382.0 \n", + "\n", + " worldwide_gross \n", + "0 2.776345e+09 \n", + "1 1.045664e+09 \n", + "2 1.497624e+08 \n", + "3 1.403014e+09 \n", + "4 1.316722e+09 \n" + ] + }, + { + "data": { + "text/plain": [ + "id 0\n", + "release_date 0\n", + "movie 0\n", + "production_budget 0\n", + "domestic_gross 0\n", + "worldwide_gross 0\n", + "predicted_gross 0\n", + "release_year 0\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Replace the 0 values with the mean gross movies released in the same year\n", + "\n", + "df_budget['release_year'] = df_budget['release_date'].str.split(', ').str[-1]\n", + " \n", + " # replace missing values with mean\n", + "def monetary_columns(*cols):\n", + " return list(cols)\n", + "for col in monetary_columns('domestic_gross', 'worldwide_gross'): \n", + " df_budget[col] = df_budget.groupby('release_year')[col].transform(lambda x: x.fillna(x.mean()))\n", + " \n", + "print(df_budget[['movie', 'release_date', 'domestic_gross', 'worldwide_gross']].head())\n", + "df_budget.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Q2. What budget ranges for movies are the most profitable - to avoid spending too much, and increase ROI" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(0.7483059765694753)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check for correlation between the production budget and worldwide gross\n", + "\n", + "correlation = df_budget['production_budget'].corr(df_budget['worldwide_gross'])\n", + "correlation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### The correlation coefficient of 0.75 indicates that there is a strong positive linear relationship between the production budget and the worldwide gross which means that the higher the production budget is, the higher the worldwide gross sales will be." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Finding what the optimal budget for the production of a movie is to maximize on the Return on investment (ROI)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries\n", + "import numpy as np \n", + "import matplotlib.pyplot as plt \n", + "import seaborn as sns \n", + "from sklearn.linear_model import LinearRegression" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " movie production_budget \\\n", + "0 Avatar 425000000.0 \n", + "1 Pirates of the Caribbean: On Stranger Tides 410600000.0 \n", + "2 Dark Phoenix 350000000.0 \n", + "3 Avengers: Age of Ultron 330600000.0 \n", + "4 Star Wars Ep. VIII: The Last Jedi 317000000.0 \n", + "\n", + " worldwide_gross ROI \n", + "0 2.776345e+09 6.532577 \n", + "1 1.045664e+09 2.546673 \n", + "2 1.497624e+08 0.427892 \n", + "3 1.403014e+09 4.243841 \n", + "4 1.316722e+09 4.153696 \n" + ] + } + ], + "source": [ + "# calculate the ROI\n", + "df_budget['ROI'] = df_budget['worldwide_gross'] / df_budget['production_budget']\n", + "df_budget.loc[df_budget['production_budget'] == 0, 'ROI'] = np.nan\n", + "print(df_budget[['movie', 'production_budget', 'worldwide_gross', 'ROI']].head())" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# scatter plot of ROI vs production_budget\n", + "plt.figure(figsize=(12, 4))\n", + "sns.scatterplot(x='production_budget', y='ROI', data=df_budget, alpha=0.5)\n", + "plt.title('ROI vs Production Budget')\n", + "plt.xlabel('Production Budget ($)')\n", + "plt.ylabel('Return on Investment (ROI)')\n", + "plt.axhline(y=1, color='r', linestyle='-', alpha=0.3) # Line at ROI = 1 (break-even)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " The scatter plot shows the relationship between the ROI and the production budget. The ROI decreases as the production budget increases." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "X = df_budget['production_budget'].values.reshape(-1, 1) # independent variable\n", + "y = df_budget['worldwide_gross'].values.reshape(-1, 1) #dependent variable\n", + "\n", + "# linear regression model\n", + "model = LinearRegression()\n", + "model.fit(X, y)\n", + "\n", + "df_budget['predicted_gross'] = model.predict(X)\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "sns.scatterplot(x=df_budget[\"production_budget\"], y=df_budget[\"worldwide_gross\"], label=\"Actual Data\")\n", + "sns.lineplot(x=df_budget[\"production_budget\"], y=df_budget[\"predicted_gross\"], color=\"purple\", label=\"Regression Line\")\n", + "plt.xlabel(\"Production Budget ($)\")\n", + "plt.ylabel(\"Worldwide Gross ($)\")\n", + "plt.title(\"Production Budget vs. Worldwide Gross\")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(425000000.0)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "optimal_budget = df_budget.loc[df_budget[\"predicted_gross\"].idxmax(), \"production_budget\"]\n", + "optimal_budget" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\njeri\\AppData\\Local\\Temp\\ipykernel_19580\\4264336877.py:6: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " roi_by_bin = df_budget.groupby('budget_bin')['ROI'].mean().reset_index()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " budget_bin ROI\n", + "0 (0.0, 50000000.0] 5.260980\n", + "1 (50000000.0, 100000000.0] 2.594578\n", + "2 (100000000.0, 150000000.0] 3.076560\n", + "3 (150000000.0, 200000000.0] 3.325806\n", + "4 (200000000.0, 250000000.0] 3.523907\n", + "5 (250000000.0, 300000000.0] 2.822800\n", + "6 (300000000.0, 350000000.0] 3.883899\n", + "7 (350000000.0, 400000000.0] NaN\n", + "8 (400000000.0, 450000000.0] 4.539625\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Create budget bins (in $ millions) for analysis\n", + "bin_edges = np.arange(0, df_budget['production_budget'].max() + 50e6, 50e6) \n", + "df_budget['budget_bin'] = pd.cut(df_budget['production_budget'], bins=bin_edges)\n", + "\n", + "# Calculate average ROI per budget bin\n", + "roi_by_bin = df_budget.groupby('budget_bin')['ROI'].mean().reset_index()\n", + "print(roi_by_bin)\n", + "\n", + "# Plotting average ROI vs budget bins\n", + "plt.figure(figsize=(12,6))\n", + "ax = sns.barplot(data=roi_by_bin, x='budget_bin', y='ROI')\n", + "plt.xticks(rotation=45)\n", + "plt.xlabel('Production Budget Bin ($ millions)')\n", + "plt.ylabel('Average ROI')\n", + "plt.title('Average ROI by Production Budget Bin')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}