How empathy87/storytelling-with-data works
This repository is a collection of Python/matplotlib Jupyter notebooks that recreate data-visualization examples from Storytelling with Data. The user workflow is to open a figure notebook and use its documented plot as an example; the README also presents a color palette through image assets. The tree and README do not establish calls between notebooks or a shared runtime, so the graph represents these as independent examples rather than an invented processing pipeline.
Main entry points: figure-0-5.ipynb Vertical bars · figure-5-13.ipynb Figure 5.13 · figure-6-4.ipynb Figure 6.4 · figure-3-14.ipynb Figure 3.34
Components 13
Bar Charts
- Vertical bars
vertical-bar/figure-0-5.ipynb - Figure 5.13
vertical-bar/figure-5-13.ipynb - Figure 6.4
vertical-bar/figure-6-4.ipynb - Figure 3.34
horizontal-bar/figure-3-14.ipynb - Figure 4.9
horizontal-bar/figure-4-9.ipynb
Other Figures
- Slopegraph
slopegraph/figure-9-32.ipynb - Simple text
simple-text/figure-9-29.ipynb - Scatterplot
scatterplot/figure-5-6.ipynb - Line chart
line/figure-5-10.ipynb - Paper example
slopegraph/HabrMailRuPaper.ipynb - Talk presentation
talks/winter_school/presentation plots.ipynb
Color Palette
- Palette assets
images/colors
Other components
- Reader
Connections 10
- Reader → Vertical bars: opens example
README.md - Reader → Figure 5.13: opens example
README.md - Reader → Figure 6.4: opens example
README.md - Reader → Figure 3.34: opens example
README.md - Reader → Figure 4.9: opens example
README.md - Reader → Slopegraph: opens example
README.md - Reader → Simple text: opens example
README.md - Reader → Scatterplot: opens example
README.md - Reader → Line chart: opens example
README.md - Reader → Palette assets: views palette
README.md