Tidy Tuesday

Jon Harmon
  • 4.3 (7)
  • TECHNOLOGY

TidyTuesday is a weekly podcast and community activity (https://tidytues.day) brought to you by the Data Science Learning Community (http://dslc.io/). Our goal is to help data-science learners learn in real-world contexts.

  1. 03/17/2020

    Episode 16: College Tuition

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.io (http://r4ds.io) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on college tuition, diversity, and pay: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-03-10 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-03-10) Julia Silge's Screencast (https://twitter.com/juliasilge/status/1237485609855225857) The tidymodels (https://cran.r-project.org/package=tidymodels) suite of packages is available on CRAN! Stephanie Spielman's Students (https://twitter.com/stephspiel/status/1239561076632694786)

    3 min

  2. 01/27/2020

    Episode 15: Spotify Songs

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on Spotify songs: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21) Georgios Karamanis's Sound Wave Charts (https://twitter.com/geokaramanis/status/1221114929584988160) Cedric Scherer's cowplot poster (https://twitter.com/CedScherer/status/1220850707454144512) The cowplot (https://cran.r-project.org/package=cowplot) package is available on CRAN! So it patchwork (https://cran.r-project.org/package=patchwork)! This week's San Francisco tree data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-28/ (https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-28/) dplyr::filter(qAddress != "302x Octavia St Frontage East") Find me at rstudio::conf(2020L) (rstd.io/conf)! A function (https://twitter.com/tidypod/status/1221168489815314434) to calculate the distance from the rstudioconf hotel to a given point. Check out RBERT (https://github.com/jonathanbratt/RBERT) and RBERTviz (https://github.com/jonathanbratt/RBERTviz)! And my factory (https://cran.r-project.org/package=factory) package is on CRAN! Listen to the #DataFemme podcast (https://www.dikayodata.com/datafemme)!

    5 min

  3. 01/21/2020

    Episode 14: Passwords

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on passwords: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-14 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-14) Ian Bell's Bar Chart (https://twitter.com/Ian_Bellio/status/1217262136650387458) The cowplot (https://cran.r-project.org/package=cowplot) package is available on CRAN! Jake Kaupp's donut/dendogram (https://twitter.com/jakekaupp/status/1217558989996728325) The ggraph (https://cran.r-project.org/package=ggraph) package is available on CRAN! This week's Spotify song data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21/ (https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21/) Find me at rstudio::conf(2020L) (rstd.io/conf)!

    4 min

  4. 12/24/2019

    Episode 13: Christmas Eve 2019

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on Adoptable Dogs: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-17 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-17) This week's Christmas Music data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-24 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-24) SPOILER WARNING, you may not want to read below before listening to the episode. Twas the first Tidy Tuesday, in 2018. And my R data options were getting quite lean. I'd plotted gas mileage by displacement and cyls, I'd tired of iris; from diamonds, no thrills. My columns were features, my rows observations. My plots weren't quite perfect (they lacked annotations). But I'd learned all I could from Garrett and Hadley, What I needed was data, and I needed it badly. Then R4DS Online Learning Community Announced a new R practice opportunity! They'd post a new dataset once every week And, most importantly, 'twould be unique! The goal was for learners from novice to whiz To use that new data for their own dataviz. And whether those vizes were bars, lines, or maps We'd share our R code (on github, perhaps). We'd try out new packages, practice and play, Then share in a tweet hashtag TidyTuesday. And the rstats community would add their advice. With new tips and tricks (don't worry, they're nice)! So I started to read tweets by @thomas_mock And I waited each Monday (around 2 o'clock). Then I'd download the new dataset csv, And read Thomas's tweet to see what it might be. "Here's comics! Here's Star Wars! Here's US tuition!" "Here's how NFL players are paid by position!" "Here's video games! Here's Roman bloodlines!" "Here's UFO sightings! And ratings of wine!" And my plots? They improved! With new themes and palettes. And Thomas kept posting brand new datasets. I heard Thomas proclaim as he tweeted his tweet, "It's Tidy Tuesday, y'all! Now go code something neat!"

    3 min

  5. 11/26/2019

    Episode 12: New Zealand Bird of the Year

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on the New Zealand Bird of the Year: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-19 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-19) Julia Watzek's Waffle Chart (https://twitter.com/watzoever/status/1198698674769006592) Edgar Zamora's Waffle Chart (https://twitter.com/Edgar_Zamora_/status/1197677132270338048) The waffle (https://github.com/hrbrmstr/waffle) package is available on CRAN, but I recommend the dev version. Torsten Sprenger's bar-chart race (https://twitter.com/spren9er/status/1198008656241057795) The gganimate (https://cran.r-project.org/package=gganimate) package is available on CRAN. This week's Student Loan data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-26 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-26) Check out the patchwork (https://patchwork.data-imaginist.com/index.html) package!

    3 min

  6. 11/06/2019

    Episode 11: Bike and Walk Commutes

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29) Maggie Sogin's Chord Diagram (https://twitter.com/MaggieSogin/status/1189132605754658817) The circlize (https://cran.r-project.org/package=circlize) package is available on CRAN. Also check out the chorddiag (https://github.com/mattflor/chorddiag) package on github. Cédric Sherer's gorgeous plots (https://twitter.com/CedScherer/status/1190284257324916736) (click through the retweet for more plots) The ggpointdensity (https://cran.r-project.org/package=ggpointdensity) package is available on CRAN. Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert (https://plotly-r.com/maps.html) This week's data, bike and walk commutes: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-05 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-05) Code for cleaning the commute cities is available in this gist (https://gist.github.com/jonthegeek/e584dcc9e9b7c0537663eb97697763c7) See me at the Washington DC R Conference (https://dc.rstats.ai/)!

    5 min

  7. 10/30/2019

    Episode 10: Horror Movies

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22) David Smale's Blood Chart (https://twitter.com/committedtotape/status/1187109093003223040) Evan Barba's interactive plots (https://twitter.com/ewBarba/status/1187303627448209408) Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert (https://plotly-r.com/maps.html) This week's data, SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29) Let me know if you play with RBERT (https://github.com/jonathanbratt/RBERT) See me at the Washington DC R Conference (https://dc.rstats.ai/)!

    4 min

  8. 10/23/2019

    Episode 9: Big mtcars

    Follow the show at @tidypod (https://twitter.com/tidypod) on Twitter! For show notes and to subscribe see tidytuesday.com (https://www.tidytuesday.com) Join us at r4ds.online (http://r4ds.online) @R4DSCommunity (https://twitter.com/R4DSCommunity) Host: Jon Harmon @jonthegeek (https://twitter.com/jonthegeek) jonthegeek.com (http://jonthegeek.com/) Support us at patreon.com/tidytuesday (https://www.patreon.com/tidytuesday) Last week's data on fuel efficiency: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15) Colin Fay's Shiny app (https://twitter.com/_ColinFay/status/1184206856924868608) Check out golem (https://cran.r-project.org/package=golem) on CRAN! Georgios Karamanis's making-of: twitter.com/geokaramanis/status/1186001102724063232 (https://twitter.com/geokaramanis/status/1186001102724063232) and his viz: twitter.com/geokaramanis/status/1184696827326713856 (https://twitter.com/geokaramanis/status/1184696827326713856) Jayslen Serrano's spooky version: twitter.com/SerranoJayslen/status/1184345403946192896 (https://twitter.com/SerranoJayslen/status/1184345403946192896) Christian Burkart's tutorial: twitter.com/Christi58451746/status/1185668189172256771 (https://twitter.com/Christi58451746/status/1185668189172256771) Cédric Scherer's animations: twitter.com/CedScherer/status/1186335139925757952 (https://twitter.com/CedScherer/status/1186335139925757952) This week's data, horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22 (https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22) See me at the Washington DC R Conference (https://dc.rstats.ai/)!

    4 min
See All (16)

4.3
out of 5
7 Ratings

About

TidyTuesday is a weekly podcast and community activity (https://tidytues.day) brought to you by the Data Science Learning Community (http://dslc.io/). Our goal is to help data-science learners learn in real-world contexts.

Information

  • Creator
    Jon Harmon
  • Years Active
    2019 - 2020
  • Episodes
    16
  • Rating
    Clean
  • Copyright
    © 2025 Jon Harmon
  • Show Website
    Tidy Tuesday