This repository is a curated collection of real-world data analysis case studies, designed to demonstrate practical applications of Python libraries such as pandas, NumPy, and matplotlib. Each case study focuses on a different dataset and business context, making this repo ideal for learning, reference, or portfolio-building.
- 📂 Multiple independent case studies
- 🐍 Clean and readable Python code
- 📈 Exploratory Data Analysis (EDA) workflows
- 🧮 Data cleaning, transformation, and visualization
- 📊 Insights generation from historical or operational datasets
- 🧰 Tools used:
pandas,numpy,matplotlib,seaborn