{"version":"https://jsonfeed.org/version/1","title":"Tidy Tuesday","home_page_url":"https://www.tidytuesday.com","feed_url":"https://www.tidytuesday.com/json","description":"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.","_fireside":{"subtitle":"A podcast and community activity brought to you by the Data Science Learning Community","pubdate":"2020-03-17T00:00:00.000-05:00","explicit":false,"copyright":"2024 by Jon Harmon","owner":"Jon Harmon","image":"https://assets.fireside.fm/file/fireside-images/podcasts/images/3/3fdf0121-703f-4e0c-a3d3-913b66275fef/cover.jpg?v=1"},"items":[{"id":"cdf2c88b-432a-4e21-8f0b-d3cdc44d3572","title":"Episode 16: College Tuition","url":"https://www.tidytuesday.com/16","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.io @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on college tuition, diversity, and pay: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-03-10\n\nJulia Silge's Screencast \nThe tidymodels suite of packages is available on CRAN!\n\nStephanie Spielman's Students ","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.io @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

Julia Silge's Screencast
\nThe tidymodels suite of packages is available on CRAN!

\n\n

Stephanie Spielman's Students

","summary":"This week we'll look at college tuition, diversity, and pay via tidymodels and brand new R students!","date_published":"2020-03-17T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/cdf2c88b-432a-4e21-8f0b-d3cdc44d3572.mp3","mime_type":"audio/mp3","size_in_bytes":3620096,"duration_in_seconds":163}]},{"id":"42fd330b-cc87-44b0-825c-9d22e5791ab6","title":"Episode 15: Spotify Songs","url":"https://www.tidytuesday.com/15","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on Spotify songs: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21\n\nGeorgios Karamanis's Sound Wave Charts \n\nCedric Scherer's cowplot poster\nThe cowplot package is available on CRAN!\nSo it patchwork!\n\nThis week's San Francisco tree data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-28/\ndplyr::filter(qAddress != \"302x Octavia St Frontage East\")\n\nFind me at [rstudio::conf(2020L)](rstd.io/conf)!\nA function to calculate the distance from the rstudioconf hotel to a given point.\n\nCheck out RBERT and RBERTviz! And my factory package is on CRAN!\n\nListen to the #DataFemme podcast!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

Georgios Karamanis's Sound Wave Charts

\n\n

Cedric Scherer's cowplot poster
\nThe cowplot package is available on CRAN!
\nSo it patchwork!

\n\n

This week's San Francisco tree data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-28/
\ndplyr::filter(qAddress != "302x Octavia St Frontage East")

\n\n

Find me at [rstudio::conf(2020L)](rstd.io/conf)!
\nA function to calculate the distance from the rstudioconf hotel to a given point.

\n\n

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

\n\n

Listen to the #DataFemme podcast!

","summary":"This week we'll look at Spotify songs, geom_segment, cowplot, San Francisco trees, a mystery project on Twitter, and how to get the most out of rstudio::conf(2020L)!","date_published":"2020-01-27T00:00:00.000-06:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/42fd330b-cc87-44b0-825c-9d22e5791ab6.mp3","mime_type":"audio/mp3","size_in_bytes":6729746,"duration_in_seconds":325}]},{"id":"301a82dc-ef6d-466d-a558-840c132f795f","title":"Episode 14: Passwords","url":"https://www.tidytuesday.com/14","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on passwords: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-14\n\nIan Bell's Bar Chart \nThe cowplot package is available on CRAN!\n\nJake Kaupp's donut/dendogram\nThe ggraph package is available on CRAN!\n\nThis week's Spotify song data: github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-01-21/\n\nFind me at [rstudio::conf(2020L)](rstd.io/conf)!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

Ian Bell's Bar Chart
\nThe cowplot package is available on CRAN!

\n\n

Jake Kaupp's donut/dendogram
\nThe ggraph package is available on CRAN!

\n\n

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

\n\n

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

","summary":"This week we'll look at passwords, another technique for images on plots, beautiful use of ggraph, Spotify song data, and using tidyselect to remove groups of columns.","date_published":"2020-01-21T00:00:00.000-06:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/301a82dc-ef6d-466d-a558-840c132f795f.mp3","mime_type":"audio/mp3","size_in_bytes":5236845,"duration_in_seconds":241}]},{"id":"03b6d080-d82f-48ed-8d39-3e093c192dbe","title":"Episode 13: Christmas Eve 2019","url":"https://www.tidytuesday.com/13","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on Adoptable Dogs: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-17\n\nThis week's Christmas Music data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-24\n\nSPOILER WARNING, you may not want to read below before listening to the episode.\n\nTwas the first Tidy Tuesday, in 2018.\nAnd my R data options were getting quite lean. \nI'd plotted gas mileage by displacement and cyls, \nI'd tired of iris; from diamonds, no thrills. \n\nMy columns were features, my rows observations.\nMy plots weren't quite perfect (they lacked annotations).\nBut I'd learned all I could from Garrett and Hadley, \nWhat I needed was data, and I needed it badly. \n\nThen R4DS Online Learning Community\nAnnounced a new R practice opportunity!\nThey'd post a new dataset once every week\nAnd, most importantly, 'twould be unique!\n\nThe goal was for learners from novice to whiz \nTo use that new data for their own dataviz. \nAnd whether those vizes were bars, lines, or maps\nWe'd share our R code (on github, perhaps).\n\nWe'd try out new packages, practice and play,\nThen share in a tweet hashtag TidyTuesday.\nAnd the rstats community would add their advice.\nWith new tips and tricks (don't worry, they're nice)!\n\nSo I started to read tweets by @thomas_mock\nAnd I waited each Monday (around 2 o'clock).\nThen I'd download the new dataset csv, \nAnd read Thomas's tweet to see what it might be.\n\n\"Here's comics! Here's Star Wars! Here's US tuition!\"\n\"Here's how NFL players are paid by position!\"\n\"Here's video games! Here's Roman bloodlines!\" \n\"Here's UFO sightings! And ratings of wine!\"\n\nAnd my plots? They improved! With new themes and palettes. \nAnd Thomas kept posting brand new datasets. \nI heard Thomas proclaim as he tweeted his tweet,\n\"It's Tidy Tuesday, y'all! Now go code something neat!\"","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data on Adoptable Dogs: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-17

\n\n

This week's Christmas Music data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-12-24

\n\n

SPOILER WARNING, you may not want to read below before listening to the episode.

\n\n

Twas the first Tidy Tuesday, in 2018.
\nAnd my R data options were getting quite lean.
\nI'd plotted gas mileage by displacement and cyls,
\nI'd tired of iris; from diamonds, no thrills.

\n\n

My columns were features, my rows observations.
\nMy plots weren't quite perfect (they lacked annotations).
\nBut I'd learned all I could from Garrett and Hadley,
\nWhat I needed was data, and I needed it badly.

\n\n

Then R4DS Online Learning Community
\nAnnounced a new R practice opportunity!
\nThey'd post a new dataset once every week
\nAnd, most importantly, 'twould be unique!

\n\n

The goal was for learners from novice to whiz
\nTo use that new data for their own dataviz.
\nAnd whether those vizes were bars, lines, or maps
\nWe'd share our R code (on github, perhaps).

\n\n

We'd try out new packages, practice and play,
\nThen share in a tweet hashtag TidyTuesday.
\nAnd the rstats community would add their advice.
\nWith new tips and tricks (don't worry, they're nice)!

\n\n

So I started to read tweets by @thomas_mock
\nAnd I waited each Monday (around 2 o'clock).
\nThen I'd download the new dataset csv,
\nAnd read Thomas's tweet to see what it might be.

\n\n

"Here's comics! Here's Star Wars! Here's US tuition!"
\n"Here's how NFL players are paid by position!"
\n"Here's video games! Here's Roman bloodlines!"
\n"Here's UFO sightings! And ratings of wine!"

\n\n

And my plots? They improved! With new themes and palettes.
\nAnd Thomas kept posting brand new datasets.
\nI heard Thomas proclaim as he tweeted his tweet,
\n"It's Tidy Tuesday, y'all! Now go code something neat!"

","summary":"This week we present a special Christmas Eve reading of the poem \"A Visit from Thomas Mock.\"","date_published":"2019-12-24T00:00:00.000-06:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/03b6d080-d82f-48ed-8d39-3e093c192dbe.mp3","mime_type":"audio/mp3","size_in_bytes":3313288,"duration_in_seconds":156}]},{"id":"e8546918-491e-4d39-b766-3fd4bffa16d2","title":"Episode 12: New Zealand Bird of the Year","url":"https://www.tidytuesday.com/12","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on the New Zealand Bird of the Year: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-19\n\nJulia Watzek's Waffle Chart \nEdgar Zamora's Waffle Chart\nThe waffle package is available on CRAN, but I recommend the dev version.\n\nTorsten Sprenger's bar-chart race\nThe gganimate package is available on CRAN.\n\nThis week's Student Loan data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-26\n\nCheck out the patchwork package!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data on the New Zealand Bird of the Year: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-19

\n\n

Julia Watzek's Waffle Chart
\nEdgar Zamora's Waffle Chart
\nThe waffle package is available on CRAN, but I recommend the dev version.

\n\n

Torsten Sprenger's bar-chart race
\nThe gganimate package is available on CRAN.

\n\n

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

\n\n

Check out the patchwork package!

","summary":"This week we'll look at the New Zealand Bird of the Year, waffle charts, a new style of bar-chart race, student loan data, and the patchwork package.","date_published":"2019-11-26T16:00:00.000-06:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/e8546918-491e-4d39-b766-3fd4bffa16d2.mp3","mime_type":"audio/mp3","size_in_bytes":3989234,"duration_in_seconds":185}]},{"id":"c5939f1c-a8b4-40f3-bc44-0387561492be","title":"Episode 11: Bike and Walk Commutes","url":"https://www.tidytuesday.com/11","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29\n\nMaggie Sogin's Chord Diagram \nThe circlize package is available on CRAN.\nAlso check out the chorddiag package on github.\n\nCédric Sherer's gorgeous plots (click through the retweet for more plots)\nThe ggpointdensity package is available on CRAN.\n\nInteractive web-based data visualization with R, plotly, and shiny by Carson Sievert\n\nThis week's data, bike and walk commutes: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-11-05\n\nCode for cleaning the commute cities is available in this gist\n\nSee me at the Washington DC R Conference!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

Maggie Sogin's Chord Diagram
\nThe circlize package is available on CRAN.
\nAlso check out the chorddiag package on github.

\n\n

Cédric Sherer's gorgeous plots (click through the retweet for more plots)
\nThe ggpointdensity package is available on CRAN.

\n\n

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

\n\n

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

\n\n

Code for cleaning the commute cities is available in this gist

\n\n

See me at the Washington DC R Conference!

","summary":"This week we'll look at SQUIRRELS, chord diagrams, point density plots, hexmaps, bike and walk commutes, regex, and cleaning up weird cases.","date_published":"2019-11-05T18:00:00.000-06:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/c5939f1c-a8b4-40f3-bc44-0387561492be.mp3","mime_type":"audio/mp3","size_in_bytes":5678786,"duration_in_seconds":271}]},{"id":"f97fe296-4a1b-4d8e-adb4-482ff9a43046","title":"Episode 10: Horror Movies","url":"https://www.tidytuesday.com/10","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22\n\nDavid Smale's Blood Chart \n\nEvan Barba's interactive plots\n\nInteractive web-based data visualization with R, plotly, and shiny by Carson Sievert\n\nThis week's data, SQUIRRELS!: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-29\n\nLet me know if you play with RBERT\n\nSee me at the Washington DC R Conference!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

David Smale's Blood Chart

\n\n

Evan Barba's interactive plots

\n\n

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

\n\n

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

\n\n

Let me know if you play with RBERT

\n\n

See me at the Washington DC R Conference!

","summary":"This week we'll look at horror movies, plotly, SQUIRRELS, string detection, and think about some more advanced natural language processing.","date_published":"2019-10-30T17:30:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/f97fe296-4a1b-4d8e-adb4-482ff9a43046.mp3","mime_type":"audio/mp3","size_in_bytes":5054457,"duration_in_seconds":243}]},{"id":"820683aa-f1fc-4a55-b13d-6796587ba262","title":"Episode 9: Big mtcars","url":"https://www.tidytuesday.com/9","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on fuel efficiency: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15\n\nColin Fay's Shiny app \nCheck out golem on CRAN!\n\nGeorgios Karamanis's making-of: twitter.com/geokaramanis/status/1186001102724063232\nand his viz: twitter.com/geokaramanis/status/1184696827326713856\n\nJayslen Serrano's spooky version: twitter.com/SerranoJayslen/status/1184345403946192896\n\nChristian Burkart's tutorial: twitter.com/Christi58451746/status/1185668189172256771\n\nCédric Scherer's animations: twitter.com/CedScherer/status/1186335139925757952\n\nThis week's data, horror movies: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-22\n\nSee me at the Washington DC R Conference!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

Colin Fay's Shiny app
\nCheck out golem on CRAN!

\n\n

Georgios Karamanis's making-of: twitter.com/geokaramanis/status/1186001102724063232
\nand his viz: twitter.com/geokaramanis/status/1184696827326713856

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

See me at the Washington DC R Conference!

","summary":"This week we'll look at fuel efficiency, shiny, car chart races, and horror movies.","date_published":"2019-10-22T21:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/820683aa-f1fc-4a55-b13d-6796587ba262.mp3","mime_type":"audio/mp3","size_in_bytes":5028045,"duration_in_seconds":239}]},{"id":"8edfea95-ef3b-4fb4-b056-4ddd50e9272d","title":"Episode 8: International Powerlifting","url":"https://www.tidytuesday.com/8","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on International Powerlifting: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-08\n\nChristian Burkhart's visualization: twitter.com/Christi58451746/status/1182024124115361794. Check out his tutorials at ggplot2tutor.com\n\nEric Ekholm's first-ever submission: twitter.com/ekholm_e/status/1183929391409221632\n\nKelly Luis's ridgelines: twitter.com/kelly_luis1/status/1181596849452519424\n\nThe ggridges package is available on CRAN!\n\nMy audio... plot? ipf_music.R\n\nInstall the devoutaudio package from (github.com/coolbutuseless)[https://github.com/coolbutuseless/]\n\nThis week's data, Big mtcars: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-15\n\nSee me at the Washington DC R Conference!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

The ggridges package is available on CRAN!

\n\n

My audio... plot? ipf_music.R

\n\n

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

\n\n

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

\n\n

See me at the Washington DC R Conference!

","summary":"This week we'll look at powerlifting, violin plots, ridgeline plots, AUDIO plots, and car efficiency.","date_published":"2019-10-15T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/8edfea95-ef3b-4fb4-b056-4ddd50e9272d.mp3","mime_type":"audio/mp3","size_in_bytes":5617889,"duration_in_seconds":278}]},{"id":"1c8ed06d-e1e3-4b79-891e-03a0dc879b90","title":"Episode 7: Pizza Party","url":"https://www.tidytuesday.com/7","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data on Pizza: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-01\n\nDavid Smail's visualization: https://twitter.com/committedtotape/status/1179527075897757696\n\nGeorgios Karamanis's making-of video: https://twitter.com/geokaramanis/status/1180402230261932032\n\nRobert Walker's Rmarkdown doc: https://twitter.com/PieRatio/status/1179666251997560832\n\nThe ggiraph package is available on CRAN!\n\nThe rayshader package is available on CRAN!\n\nThis week's data on Powerlifting: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-08\n\nHelp me gather NLP data at http://bit.ly/nlptrains\n\nCheck out the R-Podcast!","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

The ggiraph package is available on CRAN!

\n\n

The rayshader package is available on CRAN!

\n\n

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

\n\n

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

\n\n

Check out the R-Podcast!

","summary":"This week we'll look at pizza, polar coordinates, interactive plots, 3D plots, and powerlifting.","date_published":"2019-10-08T15:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/1c8ed06d-e1e3-4b79-891e-03a0dc879b90.mp3","mime_type":"audio/mp3","size_in_bytes":6270016,"duration_in_seconds":298}]},{"id":"3612b086-e796-402e-9254-f65b02cdf390","title":"Episode 6: School Diversity Recap","url":"https://www.tidytuesday.com/6","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-24\n\nJoshua Feldman's visualization: https://twitter.com/JoshuaFeIdman/status/1176271562795868165\n\nThe geofacet package is on CRAN!\n\nPB's geofacet: https://twitter.com/MYMRockMama/status/1178312979508391936\n\nZhi Yang's geofacet: https://twitter.com/zhiiiyang/status/1176894911083212801\n\nGil Henriques' geofacet: https://twitter.com/_Gil_Henriques/status/1176909412503441408\n\nMy animation: https://twitter.com/JonTheGeek/status/1178770430049558528\n\nThomas Lin Pedersen on Twitter: @thomasp85\n\nThe Question of the Week: https://rfordatascience.slack.com/archives/C6VCZPGPR/p1569686694114000\n\nCheck out the Tidyverse Dance and help SaveTheData!\n\nThis week's data on Pizza Places: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-10-01","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-24

\n\n

Joshua Feldman's visualization: https://twitter.com/JoshuaFeIdman/status/1176271562795868165

\n\n

The geofacet package is on CRAN!

\n\n

PB's geofacet: https://twitter.com/MYMRockMama/status/1178312979508391936

\n\n

Zhi Yang's geofacet: https://twitter.com/zhiiiyang/status/1176894911083212801

\n\n

Gil Henriques' geofacet: https://twitter.com/_Gil_Henriques/status/1176909412503441408

\n\n

My animation: https://twitter.com/JonTheGeek/status/1178770430049558528

\n\n

Thomas Lin Pedersen on Twitter: @thomasp85

\n\n

The Question of the Week: https://rfordatascience.slack.com/archives/C6VCZPGPR/p1569686694114000

\n\n

Check out the Tidyverse Dance and help SaveTheData!

\n\n

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

","summary":"This week we'll look at School Diversity, inset plots, geofacets, graph layouts for animations, pizza, and the forcats package.","date_published":"2019-10-01T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/3612b086-e796-402e-9254-f65b02cdf390.mp3","mime_type":"audio/mp3","size_in_bytes":10046149,"duration_in_seconds":474}]},{"id":"f0123d10-a6dd-4323-9eed-0cf4a15be99a","title":"Episode 5: National Park Visits","url":"https://www.tidytuesday.com/5","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-17\n\nAmit Levinson's visualization: https://twitter.com/Amit_Levinson/status/1174364639427272706\n\nThe ggimage package is on CRAN!\n\nScofirroto's remix animation: https://twitter.com/chucc900/status/1175059117188083712\n\nJohanie Fournier's visualization: https://twitter.com/FournierJohanie/status/1174118994858651648\n\nTorsten Springer's visualization: https://twitter.com/spren9er/status/1175333672251265024\n\nOtho Mantegazza's visualization: https://twitter.com/othomn/status/1175362011561168896\n\nThe ggvoronoi package is on CRAN!\n\nThe Question of the Week: https://rfordatascience.slack.com/archives/C8JP9ECBD/p1568079192043900\n\nThe tidymodels meta-package is on CRAN!\n\nCheck out the Tidyverse Dance and help SaveTheData!\n\nThis week's data on School Diversity: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-24","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-17

\n\n

Amit Levinson's visualization: https://twitter.com/Amit_Levinson/status/1174364639427272706

\n\n

The ggimage package is on CRAN!

\n\n

Scofirroto's remix animation: https://twitter.com/chucc900/status/1175059117188083712

\n\n

Johanie Fournier's visualization: https://twitter.com/FournierJohanie/status/1174118994858651648

\n\n

Torsten Springer's visualization: https://twitter.com/spren9er/status/1175333672251265024

\n\n

Otho Mantegazza's visualization: https://twitter.com/othomn/status/1175362011561168896

\n\n

The ggvoronoi package is on CRAN!

\n\n

The Question of the Week: https://rfordatascience.slack.com/archives/C8JP9ECBD/p1568079192043900

\n\n

The tidymodels meta-package is on CRAN!

\n\n

Check out the Tidyverse Dance and help SaveTheData!

\n\n

This week's data on School Diversity: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-24

","summary":"This week we'll look at National Park visits, more images in ggplots, tree plots, better plot races, Voronoi diagrams, school diversity, tidymodels, and the SaveTheData from DataSketch.","date_published":"2019-09-24T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/f0123d10-a6dd-4323-9eed-0cf4a15be99a.mp3","mime_type":"audio/mp3","size_in_bytes":10091282,"duration_in_seconds":477}]},{"id":"ba8aec54-3a3a-45fd-8bf2-0d4d33ba28a4","title":"Episode 4: Amusement Park Injuries","url":"https://www.tidytuesday.com/4","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-10\n\nAriane Aumitre's visualization: https://twitter.com/ariamsita/status/1171421023838687232\n\nLiam Bailey's visualization: https://twitter.com/ldbailey255/status/1171538981818904577\n\nRyan Timpe's visualization: https://twitter.com/ryantimpe/status/1171578409836830720\n\nScofirroto's visualization: https://twitter.com/chucc900/status/1172772068422606850\n\nThis week's data on National Park Visits: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-17\n\nThe sf package: https://cran.r-project.org/web/packages/sf/index.html\nggplot2::geom_sf: https://ggplot2.tidyverse.org/reference/ggsf.html","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-10

\n\n

Ariane Aumitre's visualization: https://twitter.com/ariamsita/status/1171421023838687232

\n\n

Liam Bailey's visualization: https://twitter.com/ldbailey255/status/1171538981818904577

\n\n

Ryan Timpe's visualization: https://twitter.com/ryantimpe/status/1171578409836830720

\n\n

Scofirroto's visualization: https://twitter.com/chucc900/status/1172772068422606850

\n\n

This week's data on National Park Visits: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-17

\n\n

The sf package: https://cran.r-project.org/web/packages/sf/index.html
\nggplot2::geom_sf: https://ggplot2.tidyverse.org/reference/ggsf.html

","summary":"This week we'll look at amusement park rides, images in ggplots, US National Park visits, reading and plotting shapefiles, and objects that can't be found.","date_published":"2019-09-17T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/ba8aec54-3a3a-45fd-8bf2-0d4d33ba28a4.mp3","mime_type":"audio/mp3","size_in_bytes":8596870,"duration_in_seconds":402}]},{"id":"9351da3a-74d1-45da-aace-844b1d019c66","title":"Episode 3: Moore's Law","url":"https://www.tidytuesday.com/3","content_text":"Follow the show at @tidypod on Twitter!\nFor show notes and to subscribe see tidytuesday.com\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-03\n\nGil Henrique's visualization: twitter.com/_Gil_Henriques/status/1170008617526820864\n\ngeom_smooth: ggplot2.tidyverse.org/reference/geom_smooth.html\n\nMy bar chart race: twitter.com/JonTheGeek/status/1170708866759364609\n\nInspiration: www.reddit.com/r/dataisbeautiful/comments/cynql1/moores_law_graphed_vs_real_cpus_gpus_1965_2019_oc/\n\nTutorial: towardsdatascience.com/create-animated-bar-charts-using-r-31d09e5841da\n\ngganimate is available on CRAN!\n\nThis week's data on amusement park injuries: twitter.com/thomas_mock/status/1171081818331930626\n\nna_if: dplyr.tidyverse.org/reference/na_if\ncase_when: dplyr.tidyverse.org/reference/case_when","content_html":"

Follow the show at @tidypod on Twitter!
\nFor show notes and to subscribe see tidytuesday.com
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data: https://github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-09-03

\n\n

Gil Henrique's visualization: twitter.com/_Gil_Henriques/status/1170008617526820864

\n\n

geom_smooth: ggplot2.tidyverse.org/reference/geom_smooth.html

\n\n

My bar chart race: twitter.com/JonTheGeek/status/1170708866759364609

\n\n

Inspiration: www.reddit.com/r/dataisbeautiful/comments/cynql1/moores_law_graphed_vs_real_cpus_gpus_1965_2019_oc/

\n\n

Tutorial: towardsdatascience.com/create-animated-bar-charts-using-r-31d09e5841da

\n\n

gganimate is available on CRAN!

\n\n

This week's data on amusement park injuries: twitter.com/thomas_mock/status/1171081818331930626

\n\n

na_if: dplyr.tidyverse.org/reference/na_if
\ncase_when: dplyr.tidyverse.org/reference/case_when

","summary":"This week we look at Moore's Law, geom_smooth, bar chart races in gganimate, amusement park injuries, na_if, and case_when.","date_published":"2019-09-10T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/9351da3a-74d1-45da-aace-844b1d019c66.mp3","mime_type":"audio/mp3","size_in_bytes":8236269,"duration_in_seconds":388}]},{"id":"3c22ed49-be53-47c6-9378-68a900b44192","title":"Episode 2: The Simpsons","url":"https://www.tidytuesday.com/2","content_text":"Follow the show at @tidypod on Twitter!\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-08-27\n\nGil Henrique's visualization: twitter.com/_Gil_Henriques/status/1166440262773567488\n\nGina Reynolds' walk-through: twitter.com/EvaMaeRey/status/1167085280580558849\n\nCheck out happygitwithr.com by @JennyBryan\n\nJake Kaupp's visualization: twitter.com/jakekaupp/status/1166874615286771717\n\ntidygraph and ggraph are available on CRAN! ggraph is now v2.0! twitter.com/thomasp85/status/1168542736833814528\n\nThis week's data on Moore's law: twitter.com/thomas_mock/status/1168697769319653377","content_html":"

Follow the show at @tidypod on Twitter!
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data: github.com/rfordatascience/tidytuesday/tree/master/data/2019/2019-08-27

\n\n

Gil Henrique's visualization: twitter.com/_Gil_Henriques/status/1166440262773567488

\n\n

Gina Reynolds' walk-through: twitter.com/EvaMaeRey/status/1167085280580558849

\n\n

Check out happygitwithr.com by @JennyBryan

\n\n

Jake Kaupp's visualization: twitter.com/jakekaupp/status/1166874615286771717

\n\n

tidygraph and ggraph are available on CRAN! ggraph is now v2.0! twitter.com/thomasp85/status/1168542736833814528

\n\n

This week's data on Moore's law: twitter.com/thomas_mock/status/1168697769319653377

","summary":"This week we look at the Simpsons guest stars, working with github in R, network graphs, Moore's law, and continuous scales in ggplot2.","date_published":"2019-09-03T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/3c22ed49-be53-47c6-9378-68a900b44192.mp3","mime_type":"audio/mp3","size_in_bytes":9480575,"duration_in_seconds":460}]},{"id":"01957691-8e75-4afd-b436-6ff4b534a26a","title":"Episode 1: Nuclear Explosions","url":"https://www.tidytuesday.com/1","content_text":"Follow the show at @tidypod\nJoin us at r4ds.online @R4DSCommunity\nHost: Jon Harmon @jonthegeek jonthegeek.com\nSupport us at patreon.com/tidytuesday\n\nLast week's data | Our World in Data Blog\nCedric Scherer's visualization\n#TidyTuesday\ntidytuesday.rocks by Neal Grantham\ncolorspace package\nClaus's trick\nClaus Wilke on Twitter\n\nThis week's data | Wikipedia article\nAndrew Collier","content_html":"

Follow the show at @tidypod
\nJoin us at r4ds.online @R4DSCommunity
\nHost: Jon Harmon @jonthegeek jonthegeek.com
\nSupport us at patreon.com/tidytuesday

\n\n

Last week's data | Our World in Data Blog
\nCedric Scherer's visualization
\n#TidyTuesday
\ntidytuesday.rocks by Neal Grantham
\ncolorspace package
\nClaus's trick
\nClaus Wilke on Twitter

\n\n

This week's data | Wikipedia article
\nAndrew Collier

","summary":"This week we look at nuclear explosions, darkening point outlines, Simpsons guest stars, and separating columns.","date_published":"2019-08-27T00:00:00.000-05:00","attachments":[{"url":"https://aphid.fireside.fm/d/1437767933/3fdf0121-703f-4e0c-a3d3-913b66275fef/01957691-8e75-4afd-b436-6ff4b534a26a.mp3","mime_type":"audio/mp3","size_in_bytes":7139004,"duration_in_seconds":352}]}]}