Statistical Playground

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New:

Select scatterplot variables:

Histogram configuration
Low:
Step:
Bins:
x title:
y title:
Label bin centers

Map configuration
Color by:	value rank

Boxplot configuration
xmin:
xmax:
Step:
x title:
y title:
show outliers separately

Bar graph configuration
x title:
y title:

Scatterplot configuration
xmin:
xmax:
xticks:
ymin:
ymax:
yticks:
x title:
y title:
fit:

equal x and y scales

Download/copy plots as:
Download/copy data as:

How to use this page

(not yet written)

Release history

January 2025: Interface tweaks.
September 2022: A lot of incremental (unreported) updates. Most significant change is ability to produce map plots for comparisons across geography.
September 2020: Improved support for external data files (loading text files, etc.)
March 24, 2020: Added scale information to histograms (still needs improvement)
March 9, 2020: Some compatibility improvements; added option to show boxplot outlier separately, to move columns left/right, and to copy/paste data to Excel.
February 2020: I developed this page for the data analysis portion of Bluffton's Learning in Community class. It is intended to provide a simple way to visualize data, with (I hope) fewer hurdles/barriers than Excel and most statistical software.

Acknowledgements

Thanks to jQuery UI Touch Punch for allowing me to add support for touch-screen mobile devices. I was a little ticked off when my variable-selection interface—which worked so nicely on my laptop—was useless on my phone; this simple plug-in fixed that.
The map data came from a variety of sources:
- The Ohio and Michigan county maps were created by awmcphee, while the Indiana map was created by David Benbennick. All three were released into the public domain on Wikimedia. Original links: Ohio, Michigan, Indiana. (I made some alteration to the contents of these SVG files.)
- Allen County census tracts: I obtained SHP files from the U.S. Census Bureau.
- Ohio School Districts: SHP files are available from (at least) two sources: koordinates.com and the GEOhio Spatial Data Discovery Portal.
- I converted the SHP files to GPX format using the free conversion tool at Aspose, and then wrote some Python code to convert and rescale the resulting files to SVG format.
- I used gps-coordinates.net to identify bounding coordinates for various areas of the state, and extracted the outlines of the districts within those boundaries with a Python program.

The contents of this page are © 2025 Darryl Nester.
Like most things on the Internet, it is freely available to anyone who wishes to use it. While I have confidence in the algorithms used, I cannot guarantee the accuracy of the results.
Please send me an email if you have found it to be useful, or if you have suggestions. (In particular, if you have an interesting data set you would like to share, please email it to me.)

TODO: Add option to copy/paste to R.
Granularity detection for scatterplots
Transformations (compute new columns from existing data).
Keep last 5 (or so) deleted plots in a "trash can" for retrieval.
Better labeling of plot axes.
Regression curves for scatterplots.
Allow segmentation of histograms.
Perform basic statistical tests.
Generate random data with various distributions (or resampling).
Quantile plots and distribution fitting.
And other things as time/imagination allows ...