Search for data tables.
When we search for ordinary written documents, we send words into a search engine and get pages of words back.
What if we could search for spreadsheets by sending spreadsheets into a search engine and getting spreadsheets back? The order of the results would be determined by various specialized statistics; just as we use PageRank to find relevant hypertext documents, we can develop other statistics that help us find relevant spreadsheets. Read more here
To index a new spreadsheet, run this.
, --index [csv file]
, --index /home/tlevine/Math Scores 2009 Copy (1).csv \ http://opendata.comune.bari.it/storage/f/2013-09-02T163858/2012_comune_assessori.csv
Caches from the indexing process are stored in the ~/., directory.
By default, CSV files that have already been indexed will be skipped; to index the same CSV file again, run with the --force or -f option.
, --index --force [csv file]
Once you have indexed a bunch of CSV files, you can search.
, [csv file]
You’ll see a bunch of data tables as results.
$ , 'Math Scores 2009.csv' /home/tlevine/math-scores-2010-gender.csv /home/tlevine/Math Scores 2009.csv /home/tlevine/Math Scores 2009 Copy (1).csv /home/tlevine/math-scores-2009-ethnicity.csv http://opendata.comune.bari.it/storage/f/2013-09-02T163858/2012_comune_assessori.csv mysql://bob:password@localhost/schools
Add non-exact column matches so that there can be more matches.
Store distributions of values (collections.Counter objects) instead of just distinct values (set objects) so that I can run more interesting comparisons.
Store a preview of the table in the db or load it from the cache so that the web interface can show the preview.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.