7 Command-Line Tools for Data Science | Jeroen Janssens
Data science is OSEMN (pronounced as awesome). That is, it involves Obtaining, Scrubbing, Exploring, Modelling, and iNterpreting data. As a data scientist, I spend quite a bit of time on the command-line, especially when there’s data to be obtained, scrubbed, or explored. And I’m not alone in this. Recently, Greg Reda discussed how the classics (e.g., head, cut, grep, sed, and awk) can be used for
Working with CSV files
CSV files (comma-separated values) are often used to save tables of data in plain text. Following are some useful techniques for working with CSV files. You can: Highlight all text in any column. View fields (convert csv text to columns or separate lines). Navigate using the HJKL keys to go left, down, up, right by cell (hjkl work as normal). Search for text in a specific column. Sort lines by col
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