This repository contains Exploratory Data Analysis (EDA), Statistical Analysis, and Data Visualization Projects completed using real-world Kaggle datasets.
- Data Cleaning & Preprocessing
- Outlier Detection using IQR Method
- Correlation Analysis
- Business Insights & Recommendations
- Restaurant Trend Analysis
- Cuisine Popularity Insights
- Rating Distribution Analysis
- Location-Based Business Insights
- Case Trend Analysis
- Recovery Rate Evaluation
- State-Wise Comparisons
- Feature Exploration
- Price Comparison Analysis
- Market Trend Identification
Python • Pandas • NumPy • Matplotlib • Seaborn • Data Cleaning • EDA • Statistical Analysis • Business Intelligence
This repository showcases practical data analytics projects focused on extracting meaningful insights, identifying patterns, and communicating data-driven recommendations through professional visualizations and statistical analysis.