I spent a few days during the holidays fixing up a bunch of semi-dormant open source projects and I have a couple of blog posts in the pipeline about various updates. First up, I made a number of fixes to Git of Theseus which is a tool (written in Python) that generates statistics about Git repositories.
I had an interesting idea a few weeks ago, best explained through an example. Let's say you're running an e-commerce site (I kind of do) and you want to optimize the number of purchases.
Let's also say we try to learn as much as we can from users, both using A/B tests but also using just basic slicing and dicing of the data.
I've been a bit bad at posting things with a regular cadence lately, partly because I'm trying to adjust to having a toddler, partly because the hunt for clicks has caused such a high bar for me that I feel like I have to post something Pulitzer-worthy.
There are often close relationships between top level business metrics. For instance, it's well known that retention has a super strong impact on the valuation of a subscription business. Or that the % of occupied seats is super important for an airline.
Just for fun, I generated these graphs of the number of letters in the word for each number. I really spent about 10 minutes on this (ok…possibly also another 40 minutes tweaking the plots):