Data Painter is RATH's new feature to interact with your data. It helps you to specify complex visual patterns and find explanations and potential causals.<p>It allows you to do on-flight data labeling, cleaning or even create new features does not exited in original dataset. Everything can be done with a brush tool(painter), You can even play with your data with your fingers on mobile.<p>RATH is an open-source alternative to Tableau, but with more automations. Feedbacks and suggestions are appreciated.<p>RATH's Github: <a href="https://github.com/Kanaries/Rath">https://github.com/Kanaries/Rath</a><p>RATH's HomePage: <a href="https://kanaries.net/" rel="nofollow">https://kanaries.net/</a>
Interesting product. I first encountered this "data painter" paradigm in the 80's in a product called DataDesk. That software was created by Cornell professor Paul Velleman. Paul was a student of John Tukey and credits his influence on the product.<p><a href="https://datadescription.com/" rel="nofollow">https://datadescription.com/</a>
I am hearing about this tool first time and the git repo examples look impressive.<p>Is this free and open-source in the sense that we can host it on our own infra with no license fees? Is there any guide or example for deploying this in a AWS environment with typical data sources like S3 data lake (CSV/Parquet/Delta) and Redshift?
I was really impressed that it seems to be doing everything locally in the browser, but I see once you start trying to do more complex visualizations it POSTs the dataset to the cloud. Still neat.
Dope tool, will try it exhaustively!<p>One thing tho, when I try the causal analysis feature, it shows in japanese to me (github show all in english tho) is there a knob to turn it to english?
Nicely done!<p>Tangent: I am looking for a different "data painter," i.e., a simple GUI where I can draw data points and have it generate a table or CSV file with them.
Terrific, have been looking for something like this since Hadley's work on the grand tourr<p><a href="https://github.com/ggobi/tourr">https://github.com/ggobi/tourr</a>
<a href="https://www.jstatsoft.org/article/view/v040i02" rel="nofollow">https://www.jstatsoft.org/article/view/v040i02</a>
<a href="https://www.researchgate.net/publication/346903245_High-dimensional_data_visualisation_with_the_grand_tour" rel="nofollow">https://www.researchgate.net/publication/346903245_High-dime...</a>