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Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.x
Episode Noteshttps://juliasilge.com/
https://www.tidymodels.org/
https://www.tmwr.org/
https://smltar.com/
https://vetiver.rstudio.com/
Episode #207: Tom Mock
Episode #201: Leland Wilkinson
Episode #69: Hadley Wickham
Episode #212: Cedric Scherer
iTunesSpotifyStitcherTuneInGoogle PodcastsPolicyViz NewsletterYouTube
New Ways to Support the Show!With more than 200 guests and eight seasons of episodes, the PolicyViz Podcast is one of the longest-running data visualization podcasts around. You can support the show by downloading and listening, following the work of my guests, and sharing the show with your networks. I’m grateful to everyone who listens and supports the show, and now I’m offering new exciting ways for you to support the show financially. You can check out the special paid version of my newsletter, receive tex
By The PolicyViz Podcast4.8
5555 ratings
Julia Silge is a data scientist and software engineer at RStudio PBC where she works on open source modeling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.x
Episode Noteshttps://juliasilge.com/
https://www.tidymodels.org/
https://www.tmwr.org/
https://smltar.com/
https://vetiver.rstudio.com/
Episode #207: Tom Mock
Episode #201: Leland Wilkinson
Episode #69: Hadley Wickham
Episode #212: Cedric Scherer
iTunesSpotifyStitcherTuneInGoogle PodcastsPolicyViz NewsletterYouTube
New Ways to Support the Show!With more than 200 guests and eight seasons of episodes, the PolicyViz Podcast is one of the longest-running data visualization podcasts around. You can support the show by downloading and listening, following the work of my guests, and sharing the show with your networks. I’m grateful to everyone who listens and supports the show, and now I’m offering new exciting ways for you to support the show financially. You can check out the special paid version of my newsletter, receive tex

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