Every so often something really cool comes along...
This is one of those times!!!!
The StatCrunchThis bookmarklet allows you to analyze data sets on any Web page. Simply save the link below to your bookmarks or favorites folder.
On a Mac, grab the link and drag it to your bookmarks bar. On Windows and Linux, right-click the link and choose the Add to Favorites option.
Note this only has to be done once.
When you find a data table on a Web page, choose the StatCrunchThis option under Favorites/Bookmarks, and the data table will be loaded into StatCrunch.
Some examples of Web pages with data sets are listed below. Make sure you sign in to StatCrunch before using StatCrunchThis.
Otherwise, the data will be loaded without menus for analyzing it.
StatCrunchThis scours each Web page for Google spreadsheets and HTML tables. To see how StatCrunchThis works, consider the
Google spreadsheet and the HTML table below, which both contain a simple data listing.
Both data sets will be loaded into StatCrunch if you click the StatCrunchThis link above or when you use the StatCrunchThis bookmarklet.
The HTML format for the table looks like:
Include similar code or follow the
simple instructions for publishing a Google spreadsheet,
and browsers can use StatCrunchThis to analyze data on your Web page.
When using StatCrunchThis at the Google Docs site, make sure you save your
data before using StatCrunchThis since the data is read from the Google server and not from what is being displayed on the page.
For this reason, it is a very good idea to turn on the auto save feature for Google spreadsheets when working with StatCrunchThis.
Do you have Web pages with data sets? Place the StatCrunchThis link shown below on your pages so that browsers can analyze the data
even with out installing StatCrunchThis as a bookmarklet!
Here are a few more pages containing data sets to get you started:
This program works pretty well for most web pages, but always double check the output to make sure it matches the original data. Be very careful with pages that contain
tables with very complicated header information.