Skip to content

Latest commit

 

History

History
26 lines (17 loc) · 991 Bytes

README.md

File metadata and controls

26 lines (17 loc) · 991 Bytes

The goal of this app is to provide an interactive interface to help learn and teach basic quantitative variables univariate and bivariate analysis and visualization. You can display basic statistics and visualizations, play around with parameters, zoom, pan, drag data points, and everything should be updated dynamically with transitions.

It is build on D3js, and can run in any modern browser (no server side installation needed).

Live demo here : https://rawgit.com/juba/uniquanti/master/index.html

Data sources

Data can be manually typed, randomly generated from several distributions, or you can load a simple included dataset. Note that when a dataset is loaded, you won't be able to drag the points (as you shouldn't be able to do that in a real analysis).

Credits