/csv-fingerprint

Qualitative visualization of the data types of CSV files

Primary LanguageHTMLMIT LicenseMIT

CSV Fingerprint

CSV Fingerprint is a small app that generates qualitative visualizations of any CSV file to help debug any formatting issues. Each cell is colored according to its type. Yellow for strings, blue for integers, purple for decimals and gray for empty values.

Installation

First, clone the repo using git.

git clone git://github.com/setosa/csv-fingerprint

Next, from the terminal, run the following command from within the project directory.

python -m SimpleHTTPServer

This will start a webserver running where you can access the app from a browser using the following url:

http://localhost:8000