This project is a beginner-level data analysis practice using Pandas and NumPy in Python. The dataset contains information about different countries, and the analysis focuses on key indicators like democracy scores, population, and more.
📌 Project Overview Loaded and explored the dataset using pandas.
Performed data cleaning and sorting.
Analyzed top 5 countries with the highest democracy scores.
Identified countries with the largest populations.
Practiced filtering, indexing, and statistical methods using NumPy.
🧰 Tools & Libraries Used Python
Pandas
NumPy
Jupyter Notebook
🧪 Skills Practiced Data cleaning
Data selection and filtering
Sorting and ranking
Using .iloc, .loc, .sort_values(), .nlargest()
Basic statistics with numpy
📂 File ProjectCountries.ipynb – Jupyter notebook containing the full analysis
✍️ Author Kumar Basu Singh B.Tech EEE (2022–2026) G.L. Bajaj Institute of Technology and Management