Percentiles, bee swarm plots, Bureau of Labor Statistics data...so many lessons in one interactive chart.

There are so many ways to use this tool:

Nathan Yau's Flowing Data is one of those websites I check every few days for statistical inspiration. He shares the work of others and his own, including this interactive bee swarm plot that illustrates salaries for various jobs.

A jitter plot. On the Y axis is annual salary. Each dot represents a different occupation.

The bee plot, with the cursor of Psychology Teachers.
https://flowingdata.com/2025/09/09/salary-and-occupation-2024/

There are many ways to use this in stats class:

1. At some point, you should talk about career exploration with your students.

2. Statistics students should be learning about modern data visualizations like this jitter plot, aka bee swarm plot.

3. If you cursor over any dot, you can see the 25th and 75th percentile scores and n size for that occupation's salary.

4. The size of each circle corresponds to the n size. Which I love because jitter plots do a great job of illustrating variability in a data set. However, each data point here represents an average from a group of people with that type of job. The size of the dot helps you see both the sample size for that dot as well as a visual cue to tell us how many Americans have a given job.

5. The data is from the Bureau of Labor Statistics and uses BLS job categories. The government collects and shares gobs and gobs of data that can be used in countless ways. The color of the dot corresponds to the job category.

Ways to use funny meme scales in your stats classes

Have you ever heard of the theory that there are multiple people worldwide thinking about the same novel thing at the same time? It is the multiple discovery hypothesis of invention . Like, multiple great minds around the world were working on calculus at the same time. Well, I think a bunch of super-duper psychology professors were all thinking about scale memes and pedagogy at the same time. Clearly, this is just as impressive as calculus. Who were some of these great minds? 1) Dr. Molly Metz maintains a curated list of hilarious "How you doing?" scales. 2) Dr. Esther Lindenström posted about using these scales as student check-ins. 3) I was working on a blog post about using such scales to teach the basics of variables. So, I decided to create a post about three ways to use these scales in your stats classes: 1) Teaching the basics of variables. 2) Nominal vs. ordinal scales. 3) Daily check-in with your students. 1. Teach your students the basics...

Leo DiCaprio Romantic Age Gap Data: UPDATE

Does anyone else teach correlation and regression together at the end of the semester? Here is a treat for you: Updated data on Leonardo DiCaprio, his age, and his romantic partner's age when they started dating. A few years ago, there was a dust-up when a clever Redditor r/TrustLittleBrother realized that DiCaprio had never dated anyone over 25. I blogged about this when it happened. But the old data was from 2022. Inspired by this sleuthing, I created a wee data set, including up-to-date information on his current relationship with Vittoria Ceretti, so your students can suss out the patterns that exist in this data.

Tyler Vigen's Spurious Correlations

Tyler Vigen has has created a long list of easy-to-paste-into-a-powerpoint graphs that illustrate that correlation does not equal causation. For instance, while per capita consumption of cheese and number of people who die by become tangled in their bed sheets may have a strong relationship (r = 0.947091), no one is saying that cheese consumption leads to bed sheet-related death. Although, you could pose The Third Variable question to your students for some of these relationships). Property of Tyler Vigens, http://i.imgur.com/OfQYQW8.png Vigen has also provided a menu of frequently used variables (deaths by tripping, sunlight by state) to help you look for specific examples. This portion is interactive, as you and your students can generate your own graphs. Below, I generated a graph of marriage rates in Pennsylvania and consumption of high fructose corn syrup. Generated at http://www.tylervigen.com/

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