Podcasts about ggplot2

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About R 3.4.1, new dplyr & dbplyr, UseR! 2016 & 2017. https://rweekly.org/2017-27.html Read R Weekly 2017 issue 27 Support with Patreon Twitter @rweekly_org Follow Facebook

About readers' feedback, rOpenSci Unconference 2017, Keras and more. Read R Weekly 2017 issue 23 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About R 3.4.0 new features, R packages to handle binary files and more. Read R Weekly 2017 issue 18 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About dplyr new features, report on the 2017 Society of American Archaeology meeting about R and more. Read R Weekly 2017 issue 16 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About R Consortium Q1 2017 ISC Grants, the latest R Core updates and more. Read R Weekly 2017 issue 15 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About collaboration with R, 20 years of CRAN and more. Read R Weekly 2017 issue 14 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About how to find new R packages, use of an R package to facilitate reproducible research, registering routines with Rcpp and more. Read R Weekly 2017 issue 13 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About the levels of data science class, learning to learn programming languages, hexagon sticker with R and more. Read R Weekly 2017 issue 12 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

About expressing yourself with R, R 3.3.3 release, R Google Summer of Code 2017, and more. Read R Weekly 2017 issue 11 Support with Patreon Twitter @rweekly_org Follow Facebook Music by Gillicuddy

Joanna and Russell talk about San Francisco home prices, Base R vs ggplot2, MongoDB, R Forwards taskforce and more. Read R Weekly 2017 issue 10 Music by Gillicuddy Twitter @rweekly_org Follow Facebook Support with Patreon

I'm happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast.

This video demonstrates the ggplot2 graphics package for the R statistical software. Video originally created for STA80006 Using R for Statistical Analysis.

This video demonstrates producing graphs using the qplot() function from the ggplot2 package in R. Video originally created for STA80006 Using R for Statistical Analysis.

Hadley Wickham is famous. He’s not Kardashian famous, but walking around useR! and seeing the community’s reaction to him, there’s no question, he’s ‘R famous’. If you have the good fortune to see his talks, tutorials, or sessions in person, you owe it to yourself to do so. He projects depth and wisdom with a booming voice, which combines with a hard-won confidence brought about by years of honing his craft and developing his expertise. He takes as much time as is needed to answer questions, listens to every single bit of feedback and succeeds in making you feel that what you say indeed matters. Hadley Wickham has poise. It’s also quite obvious, if you watch him for long enough, that this fame suits him like an itchy sweater made by a loving grandparent. It brings warmth and it comes from a place of love, but it’s always a little uncomfortable regardless of how well it may fit. Hadley and I had a long ranging interview at useR 2014, shown above, discussing R’s strengths and revealing its weaknesses together. We reveal Hadley’s evil plans for world domination, as well as his not-so-evil plans to help users better manage their workflow. Enjoy!