Recordings of RStudio Webinar Series on Essential Tools for Data Science with R

by Yanchang Zhao, RDataMining.com

RStudio recently ran a series of live webinars on Essential Tools for Data Science with R, but it is inconvenient for people from other time zones to attend. Fortunately, the recordings have been made available online, which you can watch if you haven’t attended the live webinars. Below is a list of recordings.

1. The Grammar and Graphics of Data Science
– dplyr: a grammar of data manipulation – Hadley Wickham
– ggvis: Interactive graphics in R – Winston Chang
– URL: http://pages.rstudio.net/Webinar-Series-Recording-Essential-Tools-for-R.html

2. Reproducible Reporting
– The Next Generation of R Markdown – Jeff Allen
– Knitr Ninja – Yihui Xie
– Packrat – A Dependency Management System for R – J.J. Allaire & Kevin Ushey
– URL: http://pages.rstudio.net/Webinar-Reproducible-Reporting.html

3. Interactive Reporting
– Embedding Shiny Apps in R Markdown documents – Garrett Grolemund
– Shiny: R made interactive – Joe Cheng
– URL: http://pages.rstudio.net/Interactive-Reporting.html

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About Yanchang Zhao

I am a data miner, using R for data mining applications. My work on R and data mining: RDataMining.com; Twitter; Group on Linkedin; and Group on Google.
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4 Responses to Recordings of RStudio Webinar Series on Essential Tools for Data Science with R

  1. Pingback: simpleNewz - blog.RDataMining.com RSS Feed for 2014-12-10

  2. Pingback: Recordings of RStudio Webinar Series on Essential Tools for Data Science with R | Mubashir Qasim

  3. ittkj says:

    Reblogged this on mylifewithitt.

  4. Pingback: Обзор наиболее интересных материалов по анализу данных и машинному обучению №26 (8 — 14 декабря 2014) | Zit@i0

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