The Elements of Data Analytic Style

Mar 18, 2015

The Elements of Data Analytic Style coverThe Elements of Data Analytic Style by John Hopkins biostatistics professor Jeff Leek is a non-technical guide to the stuff they don’t always cover in Stat 101, and it’s priced as pay-what-you-want. In short, it tells you how to be a good data analyst.

I just started flipping through it, and the text is straightforward with a lot of practical advice, based on experience. It takes you from tidying your data, to exploratory analysis, causality, presenting your results, and reproducibility. Lots of bullet points and common pitfalls.

Get it now. And while you’re at it, you might also be interested in the Data Science specialization from Leek and his John Hopkins cronies on Coursera.

Favorites

Who is Older and Younger than You

Here’s a chart to show you how long you have until you start to feel your age.

The Best Data Visualization Projects of 2014

It’s always tough to pick my favorite visualization projects. Nevertheless, I gave it a go.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.