A visual explanation of conditional probability

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

Victor Powell, who has visualized the Central Limit Theorem and Simpson’s Paradox, most recently provided a visual explainer for conditional probability.

Two bars, one blue and one red, represent two events that can happen together or independently of the other. When a ball hits a bar the corresponding event occurs. What is the probability that one event occurs given that the other does and vice versa? If the probability of both events increases and decreases, how does that change the separate probabilities? Sliders and options let you experiment, and the visual and counters change to help you learn.

A fun one to tinker with.


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.

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

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.

How We Spend Our Money, a Breakdown

We know spending changes when you have more money. Here’s by how much.