Tutorial

The csvkit tutorial walks through processing and analyzing a real dataset:

• 1. Getting started
  • 1.1. About this tutorial
  • 1.2. Installing csvkit
  • 1.3. Getting the data
  • 1.4. in2csv: the Excel killer
  • 1.5. csvlook: data periscope
  • 1.6. csvcut: data scalpel
  • 1.7. Putting it together with pipes
  • 1.8. Summing up
• 2. Examining the data
  • 2.1. csvstat: statistics without code
  • 2.2. csvgrep: find the data you need
  • 2.3. csvsort: order matters
  • 2.4. Summing up
• 3. Power tools
  • 3.1. csvjoin: merging related data
  • 3.2. csvstack: combining subsets
  • 3.3. csvsql and sql2csv: ultimate power
  • 3.4. Summing up
• 4. Going elsewhere with your data
  • 4.1. csvjson: going online
  • 4.2. csvpy: going into code
  • 4.3. csvformat: for legacy systems
  • 4.4. Summing up