Same summary statistics, completely different plots

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

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.


Reviving the Statistical Atlas of the United States with New Data

Due to budget cuts, there is no plan for an updated atlas. So I recreated the original 1870 Atlas using today’s publicly available data.

Best Data Visualization Projects of 2016

Here are my favorites for the year.

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?