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Matplotlib & Seaborn Practice Workbook
FreeWorkbookData Visualization

Matplotlib & Seaborn Practice Workbook

Practise Matplotlib and Seaborn on a realistic e-commerce dataset, from first plots to dashboards.

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At a glance

Exercises
71 tasks · 2 phases + final challenge
Level
Fundamentals → interview-style
Format
ZIP — Jupyter notebook, Python files and CSV data
Included
Jupyter notebook, practice_system.py (hints and solutions), the TechNest Retail sales dataset (CSV), its generator script and a setup README
Software
Python 3.10+, Matplotlib, Seaborn and Jupyter

About this workbook

Build real plotting fluency on TechNest Retail, a synthetic e-commerce dataset with 4,012 orders over two years — including the missing values, duplicate orders and inconsistent labels you meet in real data.

A learning phase walks through Matplotlib and Seaborn one concept at a time, a testing phase makes you choose the right chart yourself — with debugging and "is this chart misleading?" questions — and a final challenge builds an executive one-page dashboard. Hints and full solutions are on request.

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