Pandas Learning

Hands-on pandas practice using small CSV datasets.

This repository captures my early work learning data loading, inspection, cleaning and transformation with pandas. It is intentionally simple: the goal is to show the foundations of practical data analysis before moving into larger projects.

Contents

File	Purpose
Learning Pandas.ipynb	Main notebook with pandas examples and exercises
car-sales.csv	Clean sample dataset
car-sales-missing-data.csv	Sample dataset with missing values
car_missing_cleaned.csv	Cleaned output dataset

Tools

• Python
• pandas
• Jupyter Notebook

How to run

1. Clone the repository.
2. Install the dependencies with pip install -r requirements.txt.
3. Open Learning Pandas.ipynb in Jupyter Notebook, JupyterLab, VS Code or Google Colab.
4. Run the notebook cells from top to bottom.

What this shows

• Reading CSV files with pandas
• Inspecting rows, columns and summary statistics
• Handling missing data
• Basic cleaning and transformation workflows

Author

Built by Tim Maundu as part of a practical data and AI learning path.