Python Visualization for Exploration of Data

on YouTube ↗01h 28m

" summary

Hands-on tutorial that actually shows code, notebooks and a GitHub repo using matplotlib, pandas plotting, seaborn to explore a small 1985 auto dataset (about 205 rows, ~10 missing values). Demonstrations include scatter, histogram, KDE, violin, faceted grids, marker sizing and hue for extra dimensions, plus notes on installing Seaborn and occasional glitches; exercises run in notebooks and plots render live. Pick it if live examples and reproducible notebooks matter; skip it if only high-level theory is wanted.

AI-written summary · about

" chapters (10)

1. 0:00Python data visualization intro
2. 10:03Loading dataset
3. 22:02Basic pandas plots
4. 33:26Seaborn intro
5. 41:58Plot aesthetics
6. 56:41Marker size and shape
7. 1:06:46Advanced plot customization
8. 1:14:07Multi-axis and pairwise plots
9. 1:22:03Facet grids
10. 1:27:13Exercise and closing

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