<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>workshop on DataScience.LA</title><link>https://datasciencela.github.io/tag/workshop/</link><description>Recent content in workshop on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Wed, 19 Nov 2014 21:33:15 -0800</lastBuildDate><atom:link href="https://datasciencela.github.io/tag/workshop/index.xml" rel="self" type="application/rss+xml"/><item><title>LA R meetup - January 21: RStudio's Shiny with Joe Cheng</title><link>https://datasciencela.github.io/la-r-meetup-january-21-rstudios-shiny-with-joe-cheng/</link><pubDate>Thu, 20 Nov 2014 10:04:38 -0800</pubDate><guid>https://datasciencela.github.io/la-r-meetup-january-21-rstudios-shiny-with-joe-cheng/</guid><description>&lt;p&gt;At this meetup we&amp;rsquo;re fortunate to have RStudio&amp;rsquo;s lead developer &lt;a href="http://www.linkedin.com/in/jcheng"&gt;Joe Cheng&lt;/a&gt; flying in from Seattle to talk about &lt;a href="http://shiny.rstudio.com/"&gt;Shiny&lt;/a&gt;. Shiny makes it possible to develop interactive web applications by writing only a handful of R code. It lowers the barriers to constructing interactive dashboards that you can use to better explain your results to your boss and/or co-workers, or it can help you productionalize your analysis so that others in your company can make use of it regularly without the need to continually bother you.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://datasciencela.github.io/la-r-meetup-january-21-rstudios-shiny-with-joe-cheng/feature.png"/></item></channel></rss>