<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tim Phan on DataScience.LA</title><link>https://datasciencela.github.io/authors/tim-phan/</link><description>Recent content in Tim Phan 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>Mon, 03 Nov 2014 10:09:16 -0800</lastBuildDate><atom:link href="https://datasciencela.github.io/authors/tim-phan/index.xml" rel="self" type="application/rss+xml"/><item><title>Hadley Wickham’s dplyr tutorial at useR! 2014, Part 2</title><link>https://datasciencela.github.io/hadley-wickhams-dplyr-tutorial-at-user-2014-part-2/</link><pubDate>Mon, 03 Nov 2014 10:00:28 -0800</pubDate><guid>https://datasciencela.github.io/hadley-wickhams-dplyr-tutorial-at-user-2014-part-2/</guid><description>&lt;p&gt;Part 2 of the dplyr tutorial is now available! Hadley will be covering Grouped Mutate/Filter, Joins, Do, and Databases. (You can find &lt;a href="https://datasciencela.github.io/hadley-wickhams-dplyr-tutorial-at-user-2014-part-1/"&gt;Part 1 of the tutorial here&lt;/a&gt;.)&lt;/p&gt;&#10;&lt;p&gt;For our viewers who have just discovered the wonders of R, keep in mind that this tutorial was filmed in early July of 2014. As R packages naturally update over time (well, depending on the programmers!), please make sure to check &lt;a href="https://github.com/hadley/dplyr"&gt;Hadley&amp;rsquo;s Github&lt;/a&gt;for the latest changes to the dplyr package.&lt;/p&gt;</description></item><item><title>Hadley Wickham's dplyr tutorial at useR! 2014, Part 1</title><link>https://datasciencela.github.io/hadley-wickhams-dplyr-tutorial-at-user-2014-part-1/</link><pubDate>Mon, 13 Oct 2014 10:02:53 -0700</pubDate><guid>https://datasciencela.github.io/hadley-wickhams-dplyr-tutorial-at-user-2014-part-1/</guid><description>&lt;p&gt;Hadley Wickham (&lt;a href="https://datasciencela.github.io/a-conversation-with-hadley-wickham-the-user-2014-interview/"&gt;perhaps you’ve heard of his work&lt;/a&gt;) presented a 2 hour workshop on dplyr at this year’s useR! conference at UCLA. This tutorial was definitely a highlight of the week-long conference for me, and working on this tutorial video has also made me very appreciative of how versatile the &lt;a href="http://cran.r-project.org/web/packages/dplyr/index.html"&gt;dplyr&lt;/a&gt; package can be. It clearly is the chef’s knife of data science tools.&lt;/p&gt;</description></item></channel></rss>