This repository contains a Jupyter Notebook showcasing basic data manipulation operations using Python's Pandas library. It covers key concepts like filtering, sorting, grouping, and modifying DataFrames.
The goal of this notebook is to build a solid foundation in Pandas, focusing on core functions essential for data analysis and manipulation.
- Filtering: Selecting rows based on conditions.
- Sorting: Ordering data by columns.
- Grouping: Calculating group-level statistics.
- Adding Columns: Creating new columns using calculated values.
- Python 3.9+
- Pandas library
- Jupyter Notebook
Run each code cell in the Jupyter Notebook to explore Pandas operations step by step. Modify the dataset and experiment with different functions to deepen your understanding.
Feel free to suggest improvements or raise issues for discussion!
For any questions or collaboration opportunities, connect with me on LinkedIn.