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Around mid-week Observable announced a major update on their blog (A new Observable) and my evenings turned into looking at updates to the Notebooks, charts / data visualization offerings and much more. There are more interactive charting models and this is the first time I’ve noticed a downloadable notebook app for Macs (I haven’t tried it yet).
I use D3 by Observable quite a bit for data visualizations form data focussed apps (I also have been using Plotly for local Python interactive data apps). I started using D3 in late 2011 for some small data visualization projects, but in 2012 was working on a large project that made extensive use of it and it has stuck as a tool in my tool belt.
I often use Pandas, Polars, and Jupyter, but also RStudio. It might be time to look at Observable’s notebook, but I’m not overly fond of JavaScript and I’ve been using Claude to assist cut down the struggles with JS and getting to looking at and interacting with data visualizations.
The D3 and Observable sites have been some of the best resources for understanding data visualization basics and good fits for data and visualizations. The education aspect, as well as the really good quality charts and visualization tools have made it a regular resource that I use and regularly point others to.
I still have a lot of Observable and D3js tabs open as I’m pulling better notes for myself. But, I figured it was a good time to share it with others.
I seem to have left pieces of myself scattered around the internet. This is my attempt to pull some of those pieces together.