Data Wrangler
Make quick and dirty data mining made easier in Sublime Text
Details
Installs
- Total 433
- Win 271
- Mac 118
- Linux 44
| Apr 26 | Apr 25 | Apr 24 | Apr 23 | Apr 22 | Apr 21 | Apr 20 | Apr 19 | Apr 18 | Apr 17 | Apr 16 | Apr 15 | Apr 14 | Apr 13 | Apr 12 | Apr 11 | Apr 10 | Apr 9 | Apr 8 | Apr 7 | Apr 6 | Apr 5 | Apr 4 | Apr 3 | Apr 2 | Apr 1 | Mar 31 | Mar 30 | Mar 29 | Mar 28 | Mar 27 | Mar 26 | Mar 25 | Mar 24 | Mar 23 | Mar 22 | Mar 21 | Mar 20 | Mar 19 | Mar 18 | Mar 17 | Mar 16 | Mar 15 | Mar 14 | Mar 13 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Windows | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mac | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Linux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Readme
- Source
- raw.githubusercontent.com
DataWrangler - Sublime Plugin
Clean and analyze text data more easily
I used this to capture the screen
Motivation
While cleaning data from a large survey, I wanted to ask questions about the data so I could clean it better. For example, many people would type what city they were from, but some would misspell it. By looking at the most common responses, I could quickly find the mispelled words and fix them.
Installation
Install via Package Control by searching for DataWrangler.
If you don't have Package Control, you can install it here.
Usage
To run a command, open the command palette (ctrl+shift+P on Windows) and type the name of the function you want.
If a command expects data to be formatted in rows and columns of data, tabs are the preferred separator (it also tries to be clever if you are using another separator, ex. commas). This was chosen because it makes it very compatible with copy-pasting from Google Sheets and Excel spreadsheets.
Commands
All commands are non-destructive, and the results will appear in a new tab.
- Line/word frequency
- Flatten a list of lists
- Vertically align all columns
- Delete each column that contains a cursor