TutorialΒΆ 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