Monday 17 May 2021

Practical SQL for Data Analysis by/via @be_haki

In this epic post, Haki Benita shows how to use SQL to perform fast and efficient data analysis. Pivot tables, subtotals, linear regression, binning, and interpolation can all be done with SQL and in many cases, that's the best approach. There's a lot of detail here and a linked index makes it easy to jump around.

I love SQL and I am so much more comfortable writing code in it. I can however see times when Python and Pandas would work better.

No comments:

Post a Comment

Note: only a member of this blog may post a comment.