Stemgraphic - A Stem and Leaf Plot for the Age of Big Data
summary
A Python module that revives the stem-and-leaf for large data claims to let analysts read individual values while scaling to production sizes it provides a CLI and matplotlib output, supports rpy2 and Coconut pipelines, and offers sampling strategies and a legend for interpretability pip-installable stemgraphic 0.3.3. Performance demos show quick runs like 700k rows in ~200 ms and 12 million rows in 17 seconds, and it uses Dask to handle 150M+ rows on a 64 GB node.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 9:21Stem plots and big data
- 14:44Stemgraphic features
- 18:41Design choices
- 23:20Live demo: Medicare payments
- 27:01Large datasets with Dask
- 30:39Q&A
related talks
01h 04mVisualising Data through Pandas
01h 38mEffective Data Visualization
34mVisualising Multi Dimensional Data
03h 07mData of Unusual Size: Interactive Visualization
26mSankey Plots with Python
01h 25mA practical guide to analysis and interactive visualization of massive datasets
28mAdvanced Graph Visualizations in Jupyter Notebooks
43mAdvanced Data Visualizations In Jupyter Notebooks