Same summary statistics, completely different plots

May 2, 2017

Summary statistics such as mean, median, and mode can only tell you so much about a dataset. Their scope is limited because for them to be useful, you have to assume things like distribution and dependencies. Visualization helps you see what else there is.

Justin Matejka and George Fitzmaurice demonstrate in their paper for the ACM SIGCHI Conference, in which they developed a method to generate datasets that “are identical over a range of statistical properties, yet produce dissimilar graphics.

Favorites

The Best Data Visualization Projects of 2014

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

Most popular porn searches, by state

We’ve seen that we can learn from what people search …

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.

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?