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
ProductSee your CSVsFollowing on the tails of 3D models and geographic data, GitHub.com now also supports rendering tabular data in the form of .csv (comma-separated) and .tsv (tab-separated) files. When viewed, any… Following on the tails of 3D models and geographic data, GitHub.com now also supports rendering tabular data in the form of .csv (comma-separated) and .tsv (tab-separated) files. When
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