<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/introducing-the-r-data-science-livestream/"></div></div><div><a data-url="https://www.r-bloggers.com/introducing-the-r-data-science-livestream/" data-counturl="https://www.r-bloggers.com/introducing-the-r-data-science-livestream/" data-count="horizontal" data-text="Introducing the R Data Science Livestream" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://jaredknowles.com/journal/2016/9/22/introducing-the-r-data-science-livestream"> Data, Evidence, and Policy - Jared Knowles</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Have you ever watched a livestream? Have you ever wondered what the actual minute to minute of doing data science looks like? Do you wonder if other R users have the same frustrations as you? If yes — then read on!</p>
<p>I’m off on a new professional adventure where I am doing public facing work for the first time in years. While working at home the other day I thought it would be a great idea to keep myself on-task and document my decisions if I recorded myself working with my webcam. Then, I thought, why stop there — why not livestream my work? </p>
<p>And thus, the <a target="_blank" href="https://jknowles.github.io/DataScienceLivestream/">R Data Science Livestream</a> was born. The idea is that every day for an hour or two I will livestream myself doing some data science tasks related to my current project — which is to analyze dozens of years of FBI Uniform Crime reports (<a target="_blank" href="https://jknowles.github.io/DataScienceLivestream/pages/project.html">read more</a>). I haven’t done much R coding in the last 4 months, so it’s also a good way to shake off the rust of being out of the game for so long.</p>
<p>So if you are at all interested or curious why someone would do this, check out <a target="_blank" href="https://jknowles.github.io/DataScienceLivestream/">the landing page I put up to document the project</a> and if you are really curious, maybe even <a target="_blank" href="https://www.youtube.com/c/jaredknowles">tune in or watch the archives on YouTube</a>!</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://jaredknowles.com/journal/2016/9/22/introducing-the-r-data-science-livestream"> Data, Evidence, and Policy - Jared Knowles</a></strong>.</div>
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