loisekk/Seaborn-Studio — reverse-engineered prompt

Build me a beginner friendly Jupyter notebook learning series for Seaborn using IPL 2022 match data.

I want it to feel like a hands on mini course, not just random charts. Start with a simple introduction to loading the CSV with pandas, checking the data, and explaining what the columns mean in plain English. Then create separate notebooks or clear sections for relational plots, categorical plots, distribution plots, regression and mixed plots, matrix or grid plots, and styling.

Use the IPL dataset to make realistic examples like team scores, winners, toss decisions, venues, margins, top scorers, and player of the match insights. Each chart should have short explanations before and after it so a beginner understands what the plot shows and when to use that type of Seaborn chart.

Please keep the code clean, runnable cell by cell, and visually polished with titles, labels, palettes, and themes. Include setup instructions and a simple requirements file if needed.