16 episodes

TidyTuesday is a weekly podcast and community activity (https://github.com/rfordatascience/tidytuesday) brought to you by the R4DS Online Learning Community (http://r4ds.io/). Our goal is to help R learners learn in real-world contexts.

Tidy Tuesday Jon Harmon

    • Technology
    • 4.2, 5 Ratings

TidyTuesday is a weekly podcast and community activity (https://github.com/rfordatascience/tidytuesday) brought to you by the R4DS Online Learning Community (http://r4ds.io/). Our goal is to help R learners learn in real-world contexts.

    Episode 16: College Tuition

    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

    • 2 min
    Episode 15: Spotify Songs

    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!

    • 5 min
    Episode 14: Passwords

    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)!

    • 4 min
    Episode 13: Christmas Eve 2019

    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!"

    • 2 min
    Episode 12: New Zealand Bird of the Year

    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!

    • 3 min
    Episode 11: Bike and Walk Commutes

    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!

    • 4 min

Customer Reviews

4.2 out of 5
5 Ratings

5 Ratings

Dikayo Data ,

This podcast is gold

It’s like getting a goodie basket every episode full of packages to go and try. Jon’s friendly, knowledgeable and fun to listen to.

minhbruinbear ,

Greattt

my stats work goes up on a Tuesday thanks to this podcast, get on it NOW

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