Tidy Tuesday

Tidy Tuesday

By Jon HarmonTechnologyEducationArtsVisual Arts
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Tidy Tuesday episodes

  • Episode 16: College Tuition

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.io @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on college tuition, diversity, and pay: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-03-10

    Julia Silge's Screencast

    The tidymodels suite of packages is available on CRAN!

    Stephanie Spielman's Students

    3 min
  • Episode 15: Spotify Songs

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on Spotify songs: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21

    Georgios Karamanis's Sound Wave Charts

    Cedric Scherer's cowplot poster

    The cowplot package is available on CRAN!
    So it patchwork!

    This week's San Francisco tree data: 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 to calculate the distance from the rstudioconf hotel to a given point.

    Check out RBERT and RBERTviz! And my factory package is on CRAN!

    Listen to the #DataFemme podcast!

    6 min
  • Episode 14: Passwords

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on passwords: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-14

    Ian Bell's Bar Chart

    The cowplot package is available on CRAN!

    Jake Kaupp's donut/dendogram

    The ggraph package is available on CRAN!

    This week's Spotify song data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21/

    Find me at [rstudio::conf(2020L)](rstd.io/conf)!

    5 min
  • Episode 13: Christmas Eve 2019

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on Adoptable Dogs: 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

    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
  • Episode 12: New Zealand Bird of the Year

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at 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

    Julia Watzek's Waffle Chart

    Edgar Zamora's Waffle Chart
    The waffle package is available on CRAN, but I recommend the dev version.

    Torsten Sprenger's bar-chart race

    The gganimate package is available on CRAN.

    This week's Student Loan data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-26

    Check out the patchwork package!

    4 min
  • Episode 11: Bike and Walk Commutes

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29

    Maggie Sogin's Chord Diagram

    The circlize package is available on CRAN.
    Also check out the chorddiag package on github.

    Cédric Sherer's gorgeous plots (click through the retweet for more plots)

    The ggpointdensity package is available on CRAN.

    Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert

    This week's data, bike and walk commutes: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-05

    Code for cleaning the commute cities is available in this gist

    See me at the Washington DC R Conference!

    5 min
  • Episode 10: Horror Movies

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22

    David Smale's Blood Chart

    Evan Barba's interactive plots

    Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert

    This week's data, SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29

    Let me know if you play with RBERT

    See me at the Washington DC R Conference!

    5 min
  • Episode 9: Big mtcars

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on fuel efficiency: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15

    Colin Fay's Shiny app

    Check out golem on CRAN!

    Georgios Karamanis's making-of: twitter.com/geokaramanis/status/1186001102724063232

    and his viz: twitter.com/geokaramanis/status/1184696827326713856

    Jayslen Serrano's spooky version: twitter.com/SerranoJayslen/status/1184345403946192896

    Christian Burkart's tutorial: twitter.com/Christi58451746/status/1185668189172256771

    Cédric Scherer's animations: twitter.com/CedScherer/status/1186335139925757952

    This week's data, horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22

    See me at the Washington DC R Conference!

    4 min
  • Episode 8: International Powerlifting

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on International Powerlifting: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-08

    Christian Burkhart's visualization: twitter.com/Christi58451746/status/1182024124115361794. Check out his tutorials at ggplot2tutor.com

    Eric Ekholm's first-ever submission: twitter.com/ekholm_e/status/1183929391409221632

    Kelly Luis's ridgelines: twitter.com/kelly_luis1/status/1181596849452519424

    The ggridges package is available on CRAN!

    My audio... plot? ipf_music.R

    Install the devoutaudio package from (github.com/coolbutuseless)[https://github.com/coolbutuseless/]

    This week's data, Big mtcars: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15

    See me at the Washington DC R Conference!

    5 min
  • Episode 7: Pizza Party

    Follow the show at @tidypod on Twitter!

    For show notes and to subscribe see tidytuesday.com
    Join us at r4ds.online @R4DSCommunity
    Host: Jon Harmon @jonthegeek jonthegeek.com
    Support us at patreon.com/tidytuesday

    Last week's data on Pizza: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-01

    David Smail's visualization: https://twitter.com/committedtotape/status/1179527075897757696

    Georgios Karamanis's making-of video: https://twitter.com/geokaramanis/status/1180402230261932032

    Robert Walker's Rmarkdown doc: https://twitter.com/PieRatio/status/1179666251997560832

    The ggiraph package is available on CRAN!

    The rayshader package is available on CRAN!

    This week's data on Powerlifting: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-08

    Help me gather NLP data at http://bit.ly/nlptrains

    Check out the R-Podcast!

    5 min

About Tidy Tuesday

From the publisher's feed

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…