Recently I was trying to figure out who was most active on the IRC
server I frequent. IRC by it’s very nature leaves log files so that you
have a record of your conversations in your control. So you can perform
some processing on them to determine various statistics. This is a one
liner to compute that.
So I was recently messing with Docker to keep up on my skills, and I
wanted to see how much resources were required by each container over a
given time period. So I came up with the following command to run in the
terminal to collect it.
In this post, I provide access to a data visualizer for the Pennsylvania
lottery using data I pull regularly from their RSS feed. This tool uses
SQLite and some scripts to automatically pull data to this post which is
then visualized using Chart.js. I created histograms of the most
common drawn numbers for the drawings in which a particular number
appears, and you can see that visualized below in the charts.
Google allows you to export your data from various products. In this post I
show how one can run analysis on my data from Google Fit to find various pieces
of information using the basic bash command line tools.
I was counting some coins and was wondering if some coins should be
produced more frequently because they would be used more often so I wrote
an minimized change count algorithm to decide if certain coins should be
produced more often.