This repository contains various data analysis and data science projects that explore different domains, including statistics, machine learning, and real-world data analytics. The projects include data exploration, visualization, and analysis using tools such as Python, Pandas, NumPy, and machine learning models.
This project analyzes naming trends based on birth data, identifying patterns and trends in the names chosen over the years.
This project focuses on analyzing Covid-19 data in India, including the spread of the virus, vaccination statistics, and other related factors.
A detailed analysis of Diwali-related data, including sales, trends, and customer behavior around the Diwali festival period.
In this project, Instagram data is analyzed to determine post reach, engagement, and effectiveness of various types of content.
This project analyzes data from smart watch sensors to study activity patterns, health metrics, and trends over time.
This project investigates the factors affecting tips in restaurants, analyzing how attributes such as day of the week, meal type, and size of the party impact tipping behavior.
- Python
- Pandas
- NumPy
- Matplotlib/Seaborn (for data visualization)
- Jupyter Notebooks
- Machine Learning (for some projects)
- Clone this repository to your local machine.
- Install the required dependencies using:
https://github.com/ArigalaAdarsh/Python-Data-analysis-Projects.git- Open the Jupyter Notebooks or Python scripts to explore each project.
- Each project folder contains its own dataset and documentation (if applicable).
- Feel free to fork the repository and submit pull requests. Contributions are welcome, especially in improving the analysis, visualizations, and adding new projects.