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Episode 15: Spotify Songs

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)!

An episode of the Tidy Tuesday podcast, hosted by Jon Harmon, titled "Episode 15: Spotify Songs" was published on January 27, 2020 and runs 5 minutes.

January 27, 2020 ·5m · Tidy Tuesday

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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!

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!

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