Time again for the weekly data science things roundup. If you haven’t seen this before, check out some of the previous ones to get a feel for it. Each Tuesday I run through 3 things I’ve found interesting and bookmarked recently, generally related to python and data science (with some admitted diversions).
This week is pretty calendar heavy. Dates are weird for a lot of reasons (shoutout leap-seconds), but among them is the irregularity in months. There are a bunch of ways to show data ordered by date, and one particularly nice way (you probably know it from github) is heatmaps. This week I’ve got two implementations of that visual and another more business focused article.
Calendar Heatmap
First up is a D3.js based calendar heatmap modeled explicitly after the github version (so monochrome and no borders). It’s pretty simple to implement and looks to be actively maintained. Check it out here.
Calendar View
The second calendar heatmap visualization is from Mike Bostock’s fantastic page on bl.ocks.org, which lets you show visualizations from gists. He’s got a huge number of D3 examples of varying complexity, including a really nice looking calendar heatmap. Check it out here.
On asking job candidates to code
Finally this week we head to Phil Calcado’s blog, where he talks about recruiting engineers at the different companies he’s worked at over time. Finding t-shaped people can be tough, and fizz-buzz isn’t going to help you out much, so he’s accumulated a toolkit of techniques that help identify creative and capable engineers for broad technical roles. Check it out here.
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