The thing about my way of teaching stats is that my cool, novel examples get old really fast. Like, pop culture is on a thirty-day cycle. Anyway, YEARS ago, 2014 to be exact, I blogged about illustrating bimodal data distributions using baby name data from the Social Security Administration. Specifically, when an older name comes back into vogue, it has a bimodal distribution when you plot time on the X axis. I stand by this example. However, all of the data illustrations come from 2014. When our traditionally aged college students were 6 or 7. Which makes this example feel a little stale. However, here is some data, courtesy of Redditor fevaah , showing old names that are back in vogue through 2025 ! And Eleanor, Violet, Nora, and Hazel are here, illustrating bimodal distributions for a new generation. If you used my old baby-name data, this is a quick, easy refresh for your lectures (or a fun new addition if you didn't). If this idea was help...
UPDATE (12/8/23): YOOOOOOOOO if you got to this post, I suggest that you check out this update for a up-to-date link to this tool. Here is the Baby Name Wizard's NameVoyager , which provides illustrations of trends in baby names, using data from the 1880s to the present. It is a good tool for demonstrating why graphs can be more engaging than tables when presenting data. When I use this in class, I compare the NameVoyager data display to more traditionally presented data from the the Social Security Agency . Additionally, I teach in a computer lab, so my students were able to search for their own names, which makes the example more self relevant. Yup. I am one of many, many Jessicas that are around my age.