This repository contains my data cleaning and analysis work using Python.
Data Cleaning Notebook
This notebook shows how I clean and prepare data using Python libraries such as Pandas and NumPy.
It includes steps for handling missing values, renaming columns, and fixing data types.
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Clone the repository:
git clone https://github.com/uwn-online/Python-for-data-analysis.git cd Python-for-data-analysis -
Create and activate a virtual environment: python -m venv venv venv\Scripts\activate
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Install the required packages: pip install -r requirements.txt
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Open the notebook in VS Code or Jupyter and select the Python (venv) kernel.
📦 Tools and Libraries
Python 3.11
Pandas
NumPy
Jupyter