Sydney grp project

.gitattributes

@@ -0,0 +1,2 @@
+zippedData/im.db filter=lfs diff=lfs merge=lfs -text
+zippedData/im.db

.gitignore

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+zippedData/im.db

Python.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+# DB files
+.db
+im.db
+zippedData/im.db
+im.db.zip
+.zip
+.db.zip
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+#poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Abstra
+# Abstra is an AI-powered process automation framework.
+# Ignore directories containing user credentials, local state, and settings.
+# Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#  Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#  that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#  and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#  you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Cursor
+#  Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
+#  exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
+#  refer to https://docs.cursor.com/context/ignore-files
+.cursorignore
+.cursorindexingignore

README.md

@@ -29,7 +29,7 @@ In the folder `zippedData` are movie datasets from:
 
 Because it was collected from various locations, the different files have different formats. Some are compressed CSV (comma-separated values) or TSV (tab-separated values) files that can be opened using spreadsheet software or `pd.read_csv`, while the data from IMDB is located in a SQLite database.
 
-![movie data erd](https://raw.githubusercontent.com/learn-co-curriculum/dsc-phase-2-project-v3/master/movie_data_erd.jpeg)
+![movie data erd](https://raw.githubusercontent.com/learn-co-curriculum/dsc-phase-2-project-v3/main/movie_data_erd.jpeg)
 
 Note that the above diagram shows ONLY the IMDB data. You will need to look carefully at the features to figure out how the IMDB data relates to the other provided data files.
 
@@ -168,38 +168,13 @@ For further reading on creating professional notebooks and `README`s, check out
 
 ***To pass this project, you must pass each project rubric objective.*** The project rubric objectives for Phase 2 are:
 
-1. Attention to Detail
-2. Data Communication
-3. Authoring Jupyter Notebooks
-4. Data Manipulation and Analysis with `pandas`
-
-### Attention to Detail
-
-If you have searched for a job, you have probably seen "attention to detail" appear on a job description. In a [survey of hiring managers](https://www.payscale.com/data-packages/job-skills), fully 56% of them said they felt that recent college grads lacked this skill. So, what does "attention to detail" mean, and how will you be graded on it at Flatiron School?
-
-Attention to detail means that you accomplish tasks thoroughly and accurately. You need to understand what is being asked of you, and double-check that your work fulfills all of the requirements. This will help make you a "no-brainer hire" because it helps employers feel confident that they will not have to double-check your work. For further reading, check out [this article](https://www.indeed.com/career-advice/career-development/attention-to-detail) from Indeed.
-
-***Attention to detail will be graded based on the project checklist. In Phase 2, you need to complete 60% (6 out of 10) or more of the checklist elements in order to pass the Attention to Detail objective.*** The standard for passing the Attention to Detail objective will increase with each Phase, until you are required to complete all elements to pass Phase 5 (Capstone).
-
-The [Phase 2 Project Checklist](https://docs.google.com/document/d/1PjJwdek9EeIy9tYdvlC4bvKvwYcI2xHO1wEMENfqo5E/edit?usp=sharing) is linked here as well as directly in Canvas. The elements highlighted in yellow are the elements you need to complete in order to pass this objective. We recommend that you make your own copy of this document, so that you can check off each element as you complete it. The checklist also contains more specific, detailed guidance about the deliverables described above.
-
-Below are the definitions of each rubric level for this objective. This information is also summarized in the rubric, which is attached to the project submission assignment.
-
-#### Exceeds Objective
-70% or more of the project checklist items are complete
-
-#### Meets Objective (Passing Bar)
-60% of the project checklist items are complete
-
-#### Approaching Objective
-50% of the project checklist items are complete
-
-#### Does Not Meet Objective
-40% or fewer of the project checklist items are complete
+1. Data Communication
+2. Authoring Jupyter Notebooks
+3. Data Manipulation and Analysis with `pandas`
 
 ### Data Communication
 
-Communication is another key "soft skill". In [the same survey mentioned above](https://www.payscale.com/data-packages/job-skills), 46% of hiring managers said that recent college grads were missing this skill.
+Communication is a key "soft skill". In [this survey](https://www.payscale.com/data-packages/job-skills), 46% of hiring managers said that recent college grads were missing this skill.
 
 Because "communication" can encompass such a wide range of contexts and skills, we will specifically focus our Phase 2 objective on Data Communication. We define Data Communication as: