Effective Data Visualization

on YouTube ↗01h 38m

" summary

Shows concrete recipes and working code: uses seaborn, matplotlib, plotly, sklearn on real datasets like Anscombe, Iris, Diamonds, Flights, Digits, COVID county data. Demonstrates KDE vs histograms, PCA and t‑SNE dimensionality reduction, robust regression on Anscombe, interactive Plotly candlesticks and choropleth maps, and live Yahoo Finance pulls. Includes notebook exercises, a GitHub repo, and examples that run end to end so viewers can reproduce plots and see which choices actually reveal or mislead.

AI-written summary · about

" chapters (11)

1. 0:00Introduction and setup
2. 6:09Data exploration
3. 20:10Categorical data
4. 26:48Angular and map data
5. 34:00Density estimation
6. 43:00Dimensionality reduction
7. 51:55Nonlinear data reduction
8. 59:34Interactive visualization
9. 1:09:07Advanced interactivity
10. 1:15:56Geographical visualization
11. 1:19:10Effective communication

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