How to Work With Data
The other day, Bitly’s data chief Hilary Mason explained how to get started with data.
Today, she discusses how to work with data, from getting it, to exploring it to interpreting it.
A while back, Hilary and Columbia mathematician Chris Wiggins wrote about this process, called it a taxonomy of data science, and gave a roughly chronological account of what one does with data: Obtain, Scrub, Explore, Model and iNterpret.
No, that’s not a typo, it’s part of an acronym: OSEMN, which rhymes with possum, which means you pronounce it “awesome”.
To get more details than Hilary offers here, check their article. It offers code examples and tools and tricks to work through each of the steps above.