Exploratory Data AlexHoly shit, this made me realize I have *tremendous* room for improvement in my data visualizations https://stackoverflow.blog/2022/03/03/stop-aggregating-away-the-signal-in-your-data/
Stephen Masters@alexkyllo I noticed a lot of the examples used Observable Plot (https://observablehq.com/@observablehq/plot), a JavaScript library, for the visualisations. I was thinking of playing with some very similar visualisations of Energy trading related time series this weekend. Would you recommend that library as an easy one to get started with quickly? Any other good ways to do some quick hacking with #visualisation?
Observable Plot
Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. You can configur
@stevie I haven't used Observable Plot myself yet. I like to use ggplot2 in R and plotnine in Python. Plotly sometimes, for interactive stuff.
@alexkyllo Thanks - I’ve never done anything in R but I’m happy in Python. I’d probably use that to parse these spreadsheets I have anyway. I’ll take a look at plotnine.