Data comes in many forms, but a lot of the time people are focused with how that data is evolving over time. There’s been numerous projects I’ve done in the past that have had some kind of sales data that looked like: Where we have a date/time value across all geographic locations, with multiple SKUs… Continue reading Hierarchical Regression Modelling
Tag: data science
Pythagorean Rank Optimization
Min/Maxing Optimization is the family of problems by which we want to find the maximum or minimum of something. Pretty simple when taken at face value. A lot of times optimization problems focus on finding a part of a curve or a plot that has a global maximum or minimum. This can be done with… Continue reading Pythagorean Rank Optimization
Correlation, Causation, and Congress
The reddit site /r/dataisbeautiful too often has fun visualizations, but improper meaning derived from them. Some time ago, there was a post showing political donations to congress from the telecom lobby: Clearly the context is to try and show that there’s a lot of money being dumped into congress in order to affect their thinking on votes… Continue reading Correlation, Causation, and Congress
Somewhat Dissatisfied – How to reformulate a KPI to be more statistically balanced
KPI Genealogy There was a project I worked on a long time ago where I was brought in to provide some data science magic on why this group’s KPI wasn’t moving. A KPI is a Key Performance Indicator: something you use to tell you the heartbeat of your business. Are the things we doing having… Continue reading Somewhat Dissatisfied – How to reformulate a KPI to be more statistically balanced
