Data Wrangler
Make quick and dirty data mining made easier in Sublime Text
Details
Installs
- Total 406
- Win 257
- Mac 108
- Linux 41
| Jul 26 | Jul 25 | Jul 24 | Jul 23 | Jul 22 | Jul 21 | Jul 20 | Jul 19 | Jul 18 | Jul 17 | Jul 16 | Jul 15 | Jul 14 | Jul 13 | Jul 12 | Jul 11 | Jul 10 | Jul 9 | Jul 8 | Jul 7 | Jul 6 | Jul 5 | Jul 4 | Jul 3 | Jul 2 | Jul 1 | Jun 30 | Jun 29 | Jun 28 | Jun 27 | Jun 26 | Jun 25 | Jun 24 | Jun 23 | Jun 22 | Jun 21 | Jun 20 | Jun 19 | Jun 18 | Jun 17 | Jun 16 | Jun 15 | Jun 14 | Jun 13 | Jun 12 | Jun 11 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Windows | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Mac | 0 | 1 | 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 |
| 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 | 1 | 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