We took a trip down our old Observable #JSNotebook(s) π and #dataVizPro π tools memory lane today.
See many insightful and working Observable JS examples in our new π Highlights π
π° β€ https://twitter.com/TarasNovak/highlights
#DataViz π / #GeoSpatial πΊοΈ/ #DataTools π οΈ π§ββοΈ
#datatools #geospatial #dataviz #datavizpro #jsnotebook
Observable #JSNotebooks π are a great alternative to Quarto markdown, "polyglot" notebooks from #netInteractive team, and standard Python or R Jupyter notebooks.
π₯ β€ https://marketplace.visualstudio.com/items?itemName=GordonSmith.observable-js
These JS notebooks are ideal for data scientists who prefer native #VSCode notebook interface and reactive Observable cells.
Quick demo of running and exploring our #DuckDB #JSNotebook π in VS Code IDE from our Observable #DataTools π οΈ collection:
π β€ https://github.com/RandomFractals/observable-data-tools
#SQL / #DataNotebooks π§ββοΈ
#datanotebooks #sql #datatools #jsnotebook #duckdb #vscode #netinteractive #JSNotebooks
Did I mention that paid subs #DuckDBPro tools I am working on will come with #DataPackages π¦ support and ER diagrams?
Here is the gist of that prototype in Observable #JSNotebook π from last year:
https://observablehq.com/@randomfractals/datapackage-duckdb?collection=@randomfractals/duckdb
#DuckDB Pro #DataTools ...
#datatools #duckdb #jsnotebook #datapackages #duckdbpro
Our #DuckDB #dataTables #JSNotebook π has been updated to show tables #graphviz diagram.
https://observablehq.com/@randomfractals/duckdb-data-tables
#dataTools π οΈ ...
#datatools #graphviz #jsnotebook #datatables #duckdb