Posts

Data visualization is something we use to understand our data. Sure, it has some aesthetic function, but its primary purpose is to …

Half of your job, regardless of what that job is, is being able to sell your work. (source) At GRID Inc., my colleague and I were …

There’s a bit of a conversation on Twitter whether to use linear models or logistic models for estimating effect sizes in the case of …

At my previous gig as a junior data scientist trainer, my team was given some time to revamp our base R-based syllabus to be more …

Some thoughts on keeping a data science project tidy.

A little more dataviz

Unlike most implementations of linear models, Python packages don’t usually drop perfectly collinear variables.

A wrapper to access Malaysia’s central bank’s API

Can we use machine learning to understand the demographic factors underlying the election results?

Some exploratory insights from the 14th Malaysian general election