Have you ever looked through stock images for data and statistics? They are fine. They aren't great, they aren't awful, they are just fine. Like, they either look like something from The Matrix: Or like statisticians are magicians: Some images are a combination of the first two, with a statistician-magician freeing himself from The Matrix: Again, they aren't terrible but they aren't beautiful.  Lucky for you, I'm a magpie collecting interesting statistical things, including interesting statistics/data images accompanying news stories. Many talented artists have created beautiful, abstract stats images to accompany their articles. They look very nice as a background on a PowerPoint, an opening page on Blackboard, or an image on a syllabus. Here are some of my favorites. I've included citations or where I found the images where I can and plan to reverse Google search the rest someday. Needless to say, I created none of this.  https://twitter.com/RetractionWatch/st...

My friends, winter is coming. Winter in Erie, PA, is no joke, so I've been encouraging my kids to pick up inside hobbies. My youngest is all about flipbooks right now, which inspired me to create my own statsy flipbook: Which, in turn, inspired me to create a blog post about statsy crafts. Crafts that you can do over Winter break for fun or maybe use as assignments for your students? A DIY Christmas gift for your favorite statistician?  The flipbook idea is an easy one to implement, as you only need index cards, a binder clip, and a pencil. Actually, many these can be done on the cheap if you have Legos, paper and pen, a log, yarn, baking supplies around. Not free, but not too expensive, either.  Data visualization via knitting A knitting-data-visualizer tracked temperatures via a knitting project, seen below. The different colors of yarn represent different temperatures on different days. Here is a full article from Gizmodo , which includes a link where you can purchase suppl...

 I've been a fan of Chalabi's work for years (here is my favorite example of mean vs. median). She makes beautiful, hand-drawn data visualizations . She created a beautiful mural that represents New Yorkers. And when I say "represents," I mean that this image is a representative sample of New Yorkers. https://monachalabi.com/product/100-new-yorkers/ Her sample of 100 New Yorkers was not drawn (Drawn? Get it?) at random.  Below, in her own words, Chalabi describes her work and what it means: https://www.absolutart.com/us/artist/mona-chalabi/artwork/100-new-yorkers-ii/ This is a novel way to talk about sampling, and representative samples, weighing survey response options to make a sample more representative, etc. You could even get into sampling error and other problems created by non-representative samples.