Mode Analytics' blog covers data analysis, SQL and Python tooling, data jobs, and offbeat data projects like taxi driver bias.
HN links it for data analysis posts, such as its jobs board and a venture capital pitch graphic. Commenters offer no clear opinion of the blog.
(I made the graphic) - Unfortunately, there's obviously no data on the pitches that VCs see. There could be ways to halfway infer it - for instance, founder age tends to be different by industry (https://modeanalytics.com/benn/reports/a43fb710b2ef). If you look at how one VC's investments in one industry differs from overall investments in that industry, you might be able to somewhat control for the different pitches VCs see. But without more complete data, drawing any conclusions beyond things like "YC founders are young" is tough.
On a related note, here's something else I wrote that looks into whether or not older founders perform better: http://blog.modeanalytics.com/are-experienced-founders-better/
For a pivot, simply take a resultset that gives three columns and map the first to the X axis, the second to the Y and the third as values. It's very often that I find myself pulling that kind of data out in reports.
Making a general purpose cohort chart (https://blog.modeanalytics.com/cohort-analysis-helps-look-ahead/) is probably a bit harder, since it requires a relatively complex query to generate the data. Would probably work best with a sort of macro or template system in place.
Here's the blog on why this was built.(1)
Hoping this can help people find a job that fits their skills without having to wade through irrelevant job postings.
(1) https://blog.modeanalytics.com/jobs-board-announce/