Welcome to my EDA Projects repository! 🎉
This repository showcases a collection of my exploratory data analysis (EDA) projects, where I analyze diverse datasets, extract meaningful insights, and present visualizations to tell compelling data stories.
Here are the projects included in this repository:
- Covid - Analyzing the impact and trends of the COVID-19 pandemic.
- LoanApproval - Exploring factors influencing loan approval decisions.
- Zomato - Understanding restaurant trends, customer preferences, and ratings from Zomato data.
- Customer Churn - Identifying patterns that lead to customer churn in various industries.
- House Price - Investigating the factors that affect house prices in a dataset.
- iPhone Sales - Examining trends in iPhone sales and consumer behavior.
- Iris - Classic dataset exploration: analyzing features of iris flowers.
- StockDATA__TimeSeries - A time-series analysis of stock market data.
- Titanic - Uncovering survival patterns from the Titanic disaster dataset.
- UberTIPS - Analyzing tipping behavior of Uber customers.
More projects will be added in the future!
- Programming Language: Python
- Libraries Used:
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Plotly
- Statsmodels (for time-series analysis)
- Key Techniques:
- Data cleaning and preprocessing
- Univariate, bivariate, and multivariate analysis
- Data visualization
- Statistical insights and hypothesis testing
This repository highlights my expertise in:
- Analyzing diverse datasets from different domains
- Applying modern EDA techniques to extract insights
- Visualizing data for clear and engaging storytelling
Whether you're a data enthusiast, aspiring data scientist, or recruiter, this repository showcases my skills in exploring, analyzing, and visualizing data.
If you have feedback or want to collaborate, feel free to reach out via GitHub Issues or connect with me at [[email protected]].
Thank you for visiting my repository!
Feel free to fork, star ⭐, or explore! 😊