Digging for Data
Last week mostly went according to plan: backers e-mails were found, invitations were sent, VFS work commenced.
Not quite as many invitations got sent out as I had hoped though, because I was overcome by a debilitating bout of productive procrastination. Inspired by the need to compile a list of backers on the one hand, and a desire to refresh my memory on front-end development work on the other, I ended up creating a new plugin that makes it easy to run custom data mining operations on your own e-mail.
This is what the result looks like:
The text is all blurry, because data is being extracted so fast it makes your head spin! Right?
If you follow the S-shaped path of the green arrows, starting in the upper right-hand corner, the tool works like this:
- Search and select messages
- Click the grid icon (top-right arrow)
- Add columns describing the desired data
- Click the Preview button to see if it works
- Download the results as a CSV file
If you want to extract information which has already been defined as one of the built-in recipes, this kind of personal data-mining becomes a mere matter of pointing and clicking (the rows of the Data Source table are clickable). If the pre-existing recipes do not suffice, clever geeks can search for virtually anything by using regular expressions.
Hopefully, over time, Mailpile community members will create and share recipes for common things like invoice amounts or flight itineraries, bank statements or stock market alerts... if you've ever wanted to graph the frequency of your Twitter mentions, this plugin (combined with any old spreadsheet application) makes that easy to do.
The plugin is named Datadig, and to give it a try you will need to
pull the latest Mailpile from Github and run the following command on
the Mailpile CLI,
mailpile> plugins/load datadig - and yes, a GUI for
this is in the works. Quit Mailpile, restart and the Datadig grid icon
should now appear whenever you select messages!
It seems only fitting that Mailpile will not only protect privacy, but will also help people datamine their own e-mail for their own personal benefit. The tabular spreadsheet format is universal and widely understood, making this sort of thing potentially useful to a very wide audience - not just hackers and coders.
Who would have thought CSV files could be so exciting?
The code lives in .../mailpile/contrib/datadig/ and I look forward to your pull requests. ;-)
In other news...