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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/03/r-data-concepts-for-excel-users.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Excel users starting to use R likely have some established concepts about data: where it's stored, how functions apply to data, etc. In general, R does things differently to Excel (or any spreadsheet, in fact). <a rel="nofollow" href="http://rex-analytics.com/things-live-r-r-excel-users/" target="_blank">In a useful guide</a>, Steph de Silva from Rex Analytics explains the concepts of data management in R and how they differ from Excel, which provides a useful mental model for those making the transition or working in both. </p>
<p><a rel="nofollow" href="http://a4.typepad.com/6a0105360ba1c6970c01b8d2e07cc4970c-pi" target="_blank"></a> <a rel="nofollow" href="http://rex-analytics.com/things-live-r-r-excel-users" target="_blank"><img alt="DataExcelR" title="DataExcelR" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01b8d2e07ccd970c-450wi"></a><br>Click the image above for the complete guide, but in summary the differences are:</p>
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<li>Excel stores data in the grid structure of the worksheet, whereas R stores data in individual objects, accessed and manipulated by the R language.</li>
<li>In Excel, code is formulas associated with cells of the worksheet. In R, code is functions provided by the R language or that you write yourself.</li>
<li>In Excel, you store the results of calculations in the worksheet, but in R results (like data) are stored in objects.</li>
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<p>With these differences in mind, Excel users will have a much easier time adapting to R. Find the complete details at the link below.</p>
<p>Rex Analytics: <a rel="nofollow" href="http://rex-analytics.com/things-live-r-r-excel-users/" target="_blank">Where do things live in R? R for Excel Users</a> (<a rel="nofollow" href="https://twitter.com/dataandme/status/971023105220071424" target="_blank">via</a> Mara Averick)</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://blog.revolutionanalytics.com/2018/03/r-data-concepts-for-excel-users.html"> Revolutions</a></strong>.</div>
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