One dumb thought at a time

Tag: data science (Page 3 of 3)

Defining the generations

Generations is a very… imprecise… sociological concept. People just sorta look at a rough cohort of ages and say “yeah, you all are a generation.” Start and end points (as well as labels) just sorta coalesce out of the ether.

Nevertheless, they have their use and certainly are cemented in the popular imagination. I’ve been doing some reading on generations and really appreciated this diagram and article by Pew Research. But I wish it went a little earlier and a little later. So I made my owner version, *heavily* influenced by the Pew version.

A diagram showing generation birth year starting with the Lost Generation (born 1883 - 1900) and ending with Generation Alpha (Born 2013-2030).

Brimley/Cocoon Line

Last week I was curious when I would cross the Brimley/Cocoon line (the age Wilford Brimley was when Cocoon premiered). The answer is: way too soon.

But it inspired me to create a little R package so that anyone could figure out when they would cross the line. I put the package up on Github and you can find it here.

And since not everyone is an R programmer, I threw it into a little website that you can use here.

This was heavily inspired by @brimleyline on twitter. After the fact I did a search and discovered another site had already made a simple tool for this. But I like mine better 🙂 .

So This Happened…

I placed fifth in a Kaggle competition. Seemed like a good time to finally start the blogdown blog I’ve been thinking about for a while. So here it is.

The Kaggle competiton was a blast. And required zero Machine Learning ability, which is why I had a chance to win! It was an data storytelling and visualization challenge based on their 2018 Machine Learning and Data Science Survey. My analysis focused on the gender divide in data science. You can see my entry
here.

I’m planning on donating some of my winnings to a couple organizations that promote coding skills in under-represented groups. Right now I’m leaning towards:

  • https://coderspace.org
  • https://appcamp4girls.com
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