You may want to stir things up by looking, say, at what's on someone's Twitter account.
To take one example, look at
http://varianceexplained.org/r/trump-tweets/. (Honest, I just Googled "r get twitter feed" and this is the simplest one I found.) And this url shows some very nice patterns in the data.
You could then have some willing students find some other Twitter accounts, or their own, and look for similarities/dissimilarities among them. Some data wrangling and cleaning, which may be good for them (or not!), and lots of descriptive stats and graphs. You could do some formal statistical investigators by taking several, say T, Twitter accounts, splitting each up by week or month, say, (except for the last M units of time) to get some type of replication; then see if the accounts from the earlier can be distinguished (how? let the students think about it); then see if they can correctly assign the T accounts for each of the last M units to the correct accounts--maybe simply by some graphs of word frequencies (for an introductory class). Whatever holds their interest.
(Bernie and I work just a few hundred feet from each other!)
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Joseph Voelkel
Rochester Institute of Technology
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Original Message:
Sent: 05-04-2018 10:43
From: Bernadette Lanciaux
Subject: Data First Year Students are interested in.
Does any know of a good place to get a rich data set that my First Year Students might be interested in? I would like them to download a data set on day one of my class and then proceed with discovery learning. They are too young to care about most of the data I find and the tired old survey of our own students is really quite boring (among other problems).
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Bernadette Lanciaux
Instructional Faculty
Rochester Institute of Technology
School of Mathematical Sciences
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