We took a trip down our old Observable #JSNotebook(s) 📚 and #dataVizPro 📊 tools memory lane today.

See many insightful and working Observable JS examples in our new 𝕏 Highlights 😎

📰 ⤑ https://twitter.com/TarasNovak/highlights

#DataViz 📈 / #GeoSpatial 🗺️/ #DataTools 🛠️ 🧙‍♂️

Observable #JSNotebooks 📚 are a great alternative to Quarto markdown, "polyglot" notebooks from #netInteractive team, and standard Python or R Jupyter notebooks.

📥 ⤑ 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 📓 in VS Code IDE from our Observable #DataTools 🛠️ collection:

📚 ⤑ https://github.com/RandomFractals/observable-data-tools

#SQL / #DataNotebooks 🧙‍♂️

Did I mention that paid subs #DuckDBPro tools I am working on will come with #DataPackages 📦 support and ER diagrams?

Here is the gist of that prototype in Observable #JSNotebook 📓 from last year:

https://observablehq.com/@randomfractals/datapackage-duckdb?collection=@randomfractals/duckdb

#DuckDB Pro #DataTools ...

Our #DuckDB #dataTables #JSNotebook 📓 has been updated to show tables #graphviz diagram.

https://observablehq.com/@randomfractals/duckdb-data-tables

#dataTools 🛠️ ...