Data Wrangler
Make quick and dirty data mining made easier in Sublime Text
Details
Installs
- Total 427
- Win 267
- Mac 116
- Linux 44
Dec 26 | Dec 25 | Dec 24 | Dec 23 | Dec 22 | Dec 21 | Dec 20 | Dec 19 | Dec 18 | Dec 17 | Dec 16 | Dec 15 | Dec 14 | Dec 13 | Dec 12 | Dec 11 | Dec 10 | Dec 9 | Dec 8 | Dec 7 | Dec 6 | Dec 5 | Dec 4 | Dec 3 | Dec 2 | Dec 1 | Nov 30 | Nov 29 | Nov 28 | Nov 27 | Nov 26 | Nov 25 | Nov 24 | Nov 23 | Nov 22 | Nov 21 | Nov 20 | Nov 19 | Nov 18 | Nov 17 | Nov 16 | Nov 15 | Nov 14 | Nov 13 | Nov 12 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Windows | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mac | 0 | 0 | 1 | 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 | 1 | 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