A colleague of mine and I were talking about data recently and how hard it is for many folks to understand data and to contextualize it. She'd found a really cool video, which is among those below.
What I'm thinking is this: perhaps one of the data videos would be fun and interesting for students, and perhaps they might think differently about how they try to create data representation or how they use data or why data is important or how they can use data representations in something they write.
There is a "Data is Beautiful" channel in YouTube. Here are a couple of videos I found fascinating. You might need to set aside a few minutes to watch these but set a timer so you don't get lost in this beautiful demonstration of how data works.
Timeline history of most popular music artists from 1969 to 2019 ranked by yearly certified record sales. Numbers are worldwide and adjusted to twelve months trailing average. Recent years data includes digital singles sales as reported by online music retailers and streaming services. This data aggregates multiple sources and can serve as ...
Timeline of the most visited websites on the Internet from 1996 to 2019. Worldwide statistics based on websites traffic measured by monthly visits. ***** I am a first year PhD student, data geek ...
What I love about this second one is how long AOL is at the top and then what happens when Yahoo! takes the top spot and Google begins to make its run. And keep an eye on Amazon and WalMart. Fascinating. There are all kinds of social implications to those changes, too.
Enjoy, and I hope you can find ways to use some of these, especially if there's a way to use one (or more) of them across content areas and be interestingly transdisciplinary. Let me know what you're able to do in your classrooms!