Visualize any public CSV on github in a few clicks

1. Find a random public CSV on Github

If you don’t personally have any public CSVs of github data, click this preloaded, semi-randomized search to find some CSVs to upload:
Google search for github CSVs

(Click a result from the search then grab the URL, copying a link directly from the result page doesn’t work)

2. Paste a CSV’s URL into the box and submit to our API

URL:


3. Link to visualize/analyze the data:




Once you open the link, select columns of data then either

  • Describe a single column or
  • Relate two columns to each other



Discuss this post on Hacker News

If you skipped the above and want a sneak preview, here’s results from a more-or-less randomly selected CSV, which appears to be ratings of soccer players in a video game.

Based on the URL, the dataset seems to be ratings and stats on players in a soccer video game.This histogram was made in two clicks in Statwing, selecting "Rating" then the "Describe" function.Click through to see the visualization, along with statistical output like standard deviation, etc.

This histogram was made in two clicks in Statwing, selecting “Rating” then the “Describe” function.
Click through to see the visualization, along with statistical output like standard deviation, etc.

We related "Position" to "Passing"—midfielders pass the best, then defenders, then attackers (click through to see the stats).

We related “Position” to “Passing”–midfielders pass the best, then defenders, then attackers (click through to see the stats).

Assuming this game is roughly representative of reality, we thought it was interesting how much left-footedness was overrepresented, and the degree to which that differs across position. Click through for the statistical results.

Assuming this game is roughly representative of reality, we thought it was interesting how much left-footedness was overrepresented, and the degree to which that differs across position. Click through for the statistical results.

Unsurprisingly, taller players have higher scores for heading the ball. Click through for the correlation results.

Unsurprisingly, taller players have higher scores for heading the ball. Click through for the correlation results.


Anyone can export data from their app to Statwing. See an overview of how we integrate, or skip to the API docs.

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