Lab 5 - Data Analysis with Python

Description

This project performs data analysis on a salary dataset using Python. It includes:

• Frequency counts for categorical data
• Data visualization using Matplotlib and Seaborn
• Statistical analysis using NumPy and SciPy

Getting Started

This project contains a Jupyter Notebook (Lab5_VishwaPatel.ipynb) that analyzes salary data.
The dataset used is Salaries.csv (ensure the file is present in the working directory).

Breakdown of Tests

This project includes various data analysis tests, including:

• Frequency Counts: Analyzes the distribution of categorical variables.
• Summary Statistics: Computes measures such as mean, median, and standard deviation.
• Data Visualizations: Uses Matplotlib and Seaborn to create visual insights.

To run the tests, open Lab5_VishwaPatel.ipynb in Jupyter Notebook and execute the code cells.

Author

Vishwa Patel

Acknowledgement

• Data sourced from open datasets.
• Libraries used: NumPy, SciPy, Pandas, Matplotlib, and Seaborn.

Prerequisites

Ensure you have Python 3.x installed along with the required libraries:

pip install numpy scipy pandas matplotlib seaborn