Wade Fagen-Ulmschneider

Data-forward visualizations and nerding out with data.
Current: Faculty @IllinoisCS, @Illinois_Alma
Previous: @Google, @MorganStanley, @Cisco; @UT_Dallas alum

[Wade Fagen-Ulmschneider @profwade_]

My first #91-DIVOC project: a COVID-19 visualization inspired by @jburnmurdoch's charts of the growth of COVID-19. Interactive, log/linear scale, and direct source to the dataset to explore it yourself: https://t.co/35XrWEjamz #91-DIVOC-01

[Wade Fagen-Ulmschneider @profwade_]

@1DalM Let me know if I missed something though -- I've cross-checked with weatherspark to verify the 2017 data (https://t.co/SlAkH6OoYG) and seeing the identical data for the temps, but I may be missing something key that you're seeing that I'm not. :) 3/3

[Wade Fagen-Ulmschneider @profwade_]

I've always found it really hard to explore historic weather data. With today as #EarthDay, we just launched a BEAUTIFUL, data-forward radial #visualization of historical temperature data: https://t.co/pclrK2VpWp

I'd love to hear what you think, and any ideas to make it better!

[Wade Fagen-Ulmschneider @profwade_]

@1DalM A significant factor that made Dallas so warm in 2017 was an EXTREMLY warm winter (almost 50% of days were >15 deg above normal). It looks like it was a pretty "normal" summer while 2011 (another hot year) had an extreme summer with 73 days above 100, but much cooler winter. 2/

[Wade Fagen-Ulmschneider @profwade_]

@AmyEcon @ACESIllinois Congratulations!! 🎉

[Wade Fagen-Ulmschneider @profwade_]

@BetttyKrocker First one after the series of COVID visualizations, it's nice to be back into them! :)

[Wade Fagen-Ulmschneider @profwade_]

I have always heard "it used to snow earlier" or "snow never melted until May" -- but I could never find a way to view this data! Today, we released a new, data-forward exploration of the the snow depth and snowfall of every city over 10,000 in the US 🎉
https://t.co/cAWYrp4ilY

[Wade Fagen-Ulmschneider @profwade_]

In addition, up to five nearby stations are provided to give readers a view of different nearby stations to validate and cross-check the data. Let me know what you think or if you have any ideas to make things even better! :)

[Wade Fagen-Ulmschneider @profwade_]

You'll notice a red shading any time the raw data is missing making it easy to distinguish 0" of snow from missing data (which might also look at like 0").

[Wade Fagen-Ulmschneider @profwade_]

I've hand checked hundreds of stations, but let me know if you find anything strange -- we're keeping this updated with the latest data every week, and I want to keep adding to this visualization! :)

[Wade Fagen-Ulmschneider @profwade_]

In addition, up to five nearby stations are provided to give readers a view of different nearby stations to validate and cross-check the data.

[Wade Fagen-Ulmschneider @profwade_]

I imagine there are very few times in my life I will get to say I'm a fellow -- an honor to be named a Faculty Fellow at the Center for Innovation in Teaching and Learning! 🧡💙

The deepest thanks to @CITLIllinois, @uofigrainger, and @IllinoisCS!

[Siebel School of Computing and Data Science @siebelschool]

📢 Illinois CS professor @profwade_ equates this university’s educational content to amazing gardens. A motivation to remove walls built up around these gardens led him to a new position as a Faculty Fellow with @CITLIllinois

🔗 Full story: https://t.co/50KZV3oImx

[Wade Fagen-Ulmschneider @profwade_]

@hagar_jim @jburnmurdoch Thanks for the heads up -- as there gets to be more and more data I think more and more objects have to be loaded and stored in memory. 😓 Any specific things causing it, or just randomly happening? Happy to look into it for you!

[Wade Fagen-Ulmschneider @profwade_]

My first #91-DIVOC project: a COVID-19 visualization inspired by @jburnmurdoch's charts of the growth of COVID-19. Interactive, log/linear scale, and direct source to the dataset to explore it yourself: https://t.co/35XrWEjamz #91-DIVOC-01

[Wade Fagen-Ulmschneider @profwade_]

@danielskatz Can confirm 12/12 more ending with "09"...🤔

[Wade Fagen-Ulmschneider @profwade_]

@curiouskiwicat Kent made the suggestion "Chances a Little Worse than Even" as the other term in the 40-60% range, but that was so wordy that I didn't survey it -- but it might have filled that gap! I'd be curious of others... and could survey again in the Fall semester. :)

[Wade Fagen-Ulmschneider @profwade_]

@curiouskiwicat Great observation -- I myself (n=1) would give a "fair chance" a probability of 50% and a "good chance" even better than that. 🤔 Sherman Kent 1960's work had "Improbable" and "Unlikely" in the 40-60% range -- but that has clearly changed since the 1960s...