EDA Analysis Projects
EDA Project on ten different datasets
Exploratory Data Analysis (EDA) Projects
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.
🚀 Projects Overview
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!
🛠️ Tools and Techniques
- 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
📚 Purpose
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
🌱 Who is this for?
Whether you’re a data enthusiast, aspiring data scientist, or recruiter, this repository showcases my skills in exploring, analyzing, and visualizing data.
📩 Connect
If you have feedback or want to collaborate, feel free to reach out via GitHub Issues or connect with me at [ann.n.nabil@gmail.com].
Thank you for visiting my repository!
Feel free to fork, star ⭐, or explore! 😊