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Mode Analytics Blog
blog.modeanalytics.com · Company blog · on HN since 2013
Mode Analytics' blog covers data analysis, SQL and Python tooling, data jobs, and offbeat data projects like taxi driver bias.
What HN saysHN 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.
25HN people shared it
3linked it in comments
36stories submitted
428story points
9 years agolast shared
2013people per year2026
Most-shared posts
- 1Are Taxi Drivers Racist?2 people · 3 points · first shared 2014 · 1 comments on HN
- 2How to Find the Best Data Jobs2 people · 2 points · first shared 2017 · discussion on HN
- 3Mode Studio – Python, R and SQL Editor1 people · 172 points · first shared 2018 · 44 comments on HN
- 4What's the best database for an analyst?1 people · 49 points · first shared 2015 · 7 comments on HN
- 5Finding Watsi's Growth Engine1 people · 49 points · first shared 2015 · 1 comments on HN
- 6Things San Franciscans Should Be Thankful For1 people · 44 points · first shared 2013 · 28 comments on HN
- 7Open-Sourcing Our Analysis1 people · 24 points · first shared 2014 · 4 comments on HN
- 8Are Traffic Lights the Real Hyperloop?1 people · 7 points · first shared 2013 · 1 comments on HN
- 9Facebook's aha moment is simpler than you think1 people · 7 points · first shared 2015 · discussion on HN
- 10Data Wrangling Westworld1 people · 6 points · first shared 2016 · discussion on HN
- 11Are Stanford Grads Good Investments?1 people · 6 points · first shared 2013 · discussion on HN
- 12The Evolution of a Data-Driven Startup1 people · 5 points · first shared 2015 · discussion on HN
- 13Is Seed Round Funding From VCs Good For Startups?1 people · 5 points · first shared 2013 · discussion on HN
- 14The (Data Science) Notebook: A Love Story1 people · 5 points · first shared 2018 · discussion on HN
- 1567 Years of Lego Sets1 people · 5 points · first shared 2016 · discussion on HN
What HN people wrote when they linked it
troels · 2015-12-15
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.
succstressful · 2017-09-14
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/
bennstancil · 2014-07-07
(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/