PrajwalKapnoor/-bank-churn-visual-eda ? reverse-engineered prompt

Build me a clean visual EDA project in a Jupyter notebook for the Bank Customer Churn dataset.

I want the notebook to load the data, inspect it, clean anything basic if needed, and then tell the story of why customers leave using charts and simple analysis, not machine learning. Use Python with pandas, seaborn, and matplotlib, and make the visuals easy to understand and polished enough to show in a portfolio.

Please focus on the main business questions, like whether churn differs by country, how balance compares between churned and retained customers, and whether credit score actually matters. Add clear labels, short notes under the charts, and a few plain English takeaways after each section so someone non technical can follow along.

If it helps, you can look up current docs online. Also organize the notebook so it feels like a complete walkthrough from loading the data to final insights.