Items tagged observable in 2021
Filters: Year: 2021 × observable × Sorted by date
Datasette downloads per day (with Observable Plot) (via) I built an Observable notebook that imports PyPI package download data from datasette.io (itself scraped from pypistats.org using a scheduled GitHub Action) and plots it using Observable Plot. Datasette downloads from PyPI apparently jumped from ~800/day in May to ~4,000/day in July—would love to know why! # 17th July 2021, 5:01 pm
Plot & Vega-Lite. Useful documentation comparing the brand new Observable Plot to Vega-Lite, complete with examples of how to achieve the same thing in both libraries. # 4th May 2021, 4:32 pm
Observable Plot (via) This is huge: a brand new high-level JavaScript visualization library from Mike Bostock, the author of D3—partially inspired by Vega-Lite which I’ve used enthusiastically in the past. First impressions are that this is a big step forward for quickly building high-quality visualizations. It’s released under the ISC license which is “functionally equivalent to the BSD 2-Clause and MIT licenses”. # 4th May 2021, 4:28 pm
Render single selected county on a map (via) Another experiment at the intersection of Datasette and Observable notebooks. This one imports a full Datasette table (3,200 US counties) using streaming CSV and loads that into Observable’s new Search and Table filter widgets. Once you select a single county a second Datasette SQL query (this time retuning JSON) fetches a GeoJSON representation of that county which is then rendered as SVG using D3. # 5th April 2021, 4:48 am
Animated choropleth of vaccinations by US county
Last week I mentioned that I’ve recently started scraping and storing the CDC’s per-county vaccination numbers in my cdc-vaccination-history GitHub repository. This week I used an Observable notebook and d3’s TopoJSON support to render those numbers on an animated choropleth map.
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