<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Csvkit on Chatomics</title>
    <link>https://divingintogeneticsandgenomics.com/tags/csvkit/</link>
    <description>Recent content in Csvkit on Chatomics</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
    <lastBuildDate>Mon, 10 Nov 2014 12:18:00 -0800</lastBuildDate>
    
	<atom:link href="https://divingintogeneticsandgenomics.com/tags/csvkit/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>csvkit to manipulate csv at command line, Rio to interact with R at command line</title>
      <link>https://divingintogeneticsandgenomics.com/archive/csvkit-to-manipulate-csv-at-command-line-rio-to-interact-with-r-at-command-line/</link>
      <pubDate>Mon, 10 Nov 2014 12:18:00 -0800</pubDate>
      
      <guid>https://divingintogeneticsandgenomics.com/archive/csvkit-to-manipulate-csv-at-command-line-rio-to-interact-with-r-at-command-line/</guid>
      <description>I came across csvkit long time ago, but I just began to use it and found it is very handy. It is a python utility to manipulate csv files at command line. you can install it by pip:
pip install csvkit
I played around with the iris data.
csvlook gives you a database view of the data by adding grids.
$ cat iris.csv | head | csvlook
|---------------+-------------+--------------+-------------+--------------|
| sepal_length | sepal_width | petal_length | petal_width | species |</description>
    </item>
    
  </channel>
</rss>