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Tidy Tuesday

Jon Harmon
Tidy Tuesday
Latest episode

16 episodes

  • Tidy Tuesday

    Episode 16: College Tuition

    17/03/2020 | 2 mins.
    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)
  • Tidy Tuesday

    Episode 15: Spotify Songs

    27/01/2020 | 5 mins.
    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)!
  • Tidy Tuesday

    Episode 14: Passwords

    21/01/2020 | 4 mins.
    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)!
  • Tidy Tuesday

    Episode 13: Christmas Eve 2019

    24/12/2019 | 2 mins.
    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!"
  • Tidy Tuesday

    Episode 12: New Zealand Bird of the Year

    26/11/2019 | 3 mins.
    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!
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About Tidy Tuesday
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.
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