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<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Disqus - Latest Comments for lenwood</title><link>http://disqus.com/by/lenwood/</link><description></description><atom:link href="http://disqus.com/lenwood/comments.rss" rel="self"></atom:link><language>en</language><lastBuildDate>Tue, 18 Dec 2018 11:15:42 -0000</lastBuildDate><item><title>Re: Why You Shouldn’t be a Data Science Generalist</title><link>https://www.kdnuggets.com/2018/12/why-shouldnt-data-science-generalist.html#comment-4246707595</link><description>&lt;p&gt;Nice article, I agree with specialization. I'd argue that another discipline should be included in this list, visualization. All data scientists create charts, but creating a complex chart that's simple to understand is a skill worth developing. There are "data scientists" that spend all of their time in ggplot, tableau or D3.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Tue, 18 Dec 2018 11:15:42 -0000</pubDate></item><item><title>Re: Quickly Categorize Messy Data | R Blog | r-directory</title><link>https://r-dir.com/blog/2015/01/quickly-categorize-messy-data.html#comment-2808030825</link><description>&lt;p&gt;This sounds like data cleaning to me. I don't think there's a package that will do this for you, but R has dozens of functions which could help with this, I use some of them in this categorization example. I'd recommend writing a function that iterates over the data and updates the input to be what you're looking for. If you get stuck along the way, post a question over at &lt;a href="http://stackoverflow.com/" rel="nofollow noopener" target="_blank" title="http://stackoverflow.com/"&gt;StackOverflow&lt;/a&gt;.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Thu, 28 Jul 2016 08:07:16 -0000</pubDate></item><item><title>Re: R vs Excel for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html#comment-2808020325</link><description>&lt;p&gt;Welcome to R. It's a great tool, and will help you become more effective in your work. For a start, have a look at &lt;a href="http://tryr.codeschool.com/" rel="nofollow noopener" target="_blank" title="http://tryr.codeschool.com/"&gt;Try R&lt;/a&gt;. If you still want more, I list several options in the &lt;a href="https://r-dir.com/learn/e-books.html" rel="nofollow noopener" target="_blank" title="https://r-dir.com/learn/e-books.html"&gt;E-books&lt;/a&gt; &amp;amp; &lt;a href="https://r-dir.com/learn/tutorials.html" rel="nofollow noopener" target="_blank" title="https://r-dir.com/learn/tutorials.html"&gt;Tutorials&lt;/a&gt; pages of this site. Good luck!&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Thu, 28 Jul 2016 07:58:37 -0000</pubDate></item><item><title>Re: R vs Excel for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html#comment-2442679948</link><description>&lt;p&gt;Good catch! Thanks for posting. I'll update next time I publish a post.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Wed, 06 Jan 2016 10:31:30 -0000</pubDate></item><item><title>Re: Data Wrangler vs Google Refine | R Blog | r-directory</title><link>https://r-dir.com/blog/2012/11/data-wrangler-vs-google-refine.html#comment-2374173806</link><description>&lt;p&gt;That is a limitation, but you can use a subset of your data to define &lt;br&gt;the manipulations then export the Python code that achieves this. If &lt;br&gt;you're regularly working with larger data sets then you may have better &lt;br&gt;luck with the R packages plyr or data tables, or even Python's Pandas &lt;br&gt;library. There are definitely some good options out there.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Mon, 23 Nov 2015 00:41:52 -0000</pubDate></item><item><title>Re: Machine Learning Packages in R | R Blog | r-directory</title><link>https://r-dir.com/blog/2015/09/machine-learning-packages-in-r.html#comment-2374149350</link><description>&lt;p&gt;Thanks Jordan, absolutely true. I didn't include Caret here because it doesn't perform calculations itself, but its a great resource when comparing algorithms or if you don't want to use packages with a common syntax.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Mon, 23 Nov 2015 00:07:37 -0000</pubDate></item><item><title>Re: The growth of a personal tech blog</title><link>http://alexperry.io/javascript/2015/09/24/the-growth-of-a-small-tech-blog.html#comment-2272690682</link><description>&lt;p&gt;&amp;gt; It really surprises me that more developers don’t keep active blogs.&lt;br&gt;I've had this discussion with a few other people over time, most that I've asked don't have any idea what they'd say. Others don't want to take the time. My experience is similar to yours though, blogging helps to clarify ideas &amp;amp; solidify things I'm learning. I don't do it now as much as I have in the past, but I really enjoy it. Having readers is icing on the cake, but definitely not the main reason.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Thu, 24 Sep 2015 18:11:44 -0000</pubDate></item><item><title>Re: R vs Excel for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html#comment-1847053193</link><description>&lt;p&gt;2 of my coworkers have "seen the light" and are beginning to work with R. I doubt the rest ever will because they aren't interested in statistics or programming.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Tue, 10 Feb 2015 21:34:28 -0000</pubDate></item><item><title>Re: Data Visualization with ggplot | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/07/data-visualization-with-ggplot.html#comment-1651666121</link><description>&lt;p&gt;Thanks for your feedback. Happy to help.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Fri, 24 Oct 2014 10:36:43 -0000</pubDate></item><item><title>Re: R vs Excel for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html#comment-1651664869</link><description>&lt;p&gt;That is the one and only reason that I still use Excel daily. I'm now proficient enough with R that I could use it for all of my analysis work. I'm the only member of my team that uses R, so whether I like it or not, Excel will be part of my daily routine for quite a while.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Fri, 24 Oct 2014 10:35:49 -0000</pubDate></item><item><title>Re: Data Visualization with ggplot | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/07/data-visualization-with-ggplot.html#comment-1362539738</link><description>&lt;p&gt;You bet, glad to help.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Wed, 30 Apr 2014 12:29:22 -0000</pubDate></item><item><title>Re: Data Visualization with ggplot | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/07/data-visualization-with-ggplot.html#comment-1325465940</link><description>&lt;p&gt;Thanks for the feedback.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Tue, 08 Apr 2014 23:43:25 -0000</pubDate></item><item><title>Re: R vs Excel for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/r-vs-excel-for-data-analysis.html#comment-1285754090</link><description>&lt;p&gt;Ha, that's a great analogy &amp;amp; totally correct. Thanks for the comment!&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sat, 15 Mar 2014 10:17:39 -0000</pubDate></item><item><title>Re: Working With CSV Files in R | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/06/working-with-csv-files-in-r.html#comment-1285752133</link><description>&lt;p&gt;You're absolutely correct. I've made the update. Thanks for catching this.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sat, 15 Mar 2014 10:15:16 -0000</pubDate></item><item><title>Re: Folder Structure for Data Analysis | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/11/folder-structure-for-data-analysis.html#comment-1285734722</link><description>&lt;p&gt;Take a look at the book An Introduction to Statistical Learning (the PDF is free for download. It introduces a number of algorithms, along with the R code on how to implement them. &lt;a href="http://www-bcf.usc.edu/~gareth/ISL/" rel="nofollow noopener" target="_blank" title="http://www-bcf.usc.edu/~gareth/ISL/"&gt;http://www-bcf.usc.edu/~gar...&lt;/a&gt;&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sat, 15 Mar 2014 09:54:47 -0000</pubDate></item><item><title>Re: Data Visualization with ggplot | R Blog | r-directory</title><link>https://r-dir.com/blog/2013/07/data-visualization-with-ggplot.html#comment-1285731694</link><description>&lt;p&gt;I'm glad to help.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sat, 15 Mar 2014 09:50:44 -0000</pubDate></item><item><title>Re: Data Wrangler vs Google Refine | R Blog | r-directory</title><link>https://r-dir.com/blog/2012/11/data-wrangler-vs-google-refine.html#comment-1122922666</link><description>&lt;p&gt;Thanks for sharing, first that I've seen this. Data Wrangler is still available, though they make no commitment about the future. Since posting this review I've switched to using the &lt;a href="http://had.co.nz/reshape/" rel="nofollow noopener" target="_blank" title="http://had.co.nz/reshape/"&gt;reshape&lt;/a&gt; package. Its use is pretty straightforward, and I like that it allows me to stay in R.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Thu, 14 Nov 2013 10:39:47 -0000</pubDate></item><item><title>Re: Five Computers · A sample of SV</title><link>http://fivecomputers.com/a-sample-of-sv.html#comment-984787359</link><description>&lt;p&gt;I started using Jekyll on a site about a year ago. I absolutely love it; simple, secure and cheap to host. I have considered moving my primary site over from Wordpress. I hadn't heard of Pelican before, but I like Python more than Ruby and will take a look at it.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Thu, 01 Aug 2013 13:59:15 -0000</pubDate></item><item><title>Re: A general django project structure or folder layout</title><link>http://timmyomahony.com/blog/2012/11/09/general-django-project-structure-or-folder-layout/#comment-878714870</link><description>&lt;p&gt;That makes sense. Initially I did set my site up on Apache, which explains why I read that. I've since come to realize that Apache may not be the best choice for my project, so I may end up switching. At any rate, thanks for the detailed response.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sun, 28 Apr 2013 15:46:44 -0000</pubDate></item><item><title>Re: A general django project structure or folder layout</title><link>http://timmyomahony.com/blog/2012/11/09/general-django-project-structure-or-folder-layout/#comment-877846755</link><description>&lt;p&gt;Thanks for this, very helpful for newbies. Quick clarification though, I thought it was bad practice to have the Django project files within the root of the domain? Isn't that a security risk? I can't find where I read this, but I found an article claiming that django_root needs to be next to public_html, not within it. Can you clarify?&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Sat, 27 Apr 2013 09:44:07 -0000</pubDate></item><item><title>Re: Why Google Now is Awesome</title><link>http://www.hilarymason.com/blog/why-google-now-is-awesome/#comment-868420808</link><description>&lt;p&gt;I've loved this feature of Android since I upgraded to 4.0 last fall. This past weekend it creeped me out though. In January my wife &amp;amp; I spent time in Ft Worth and had dinner at a local restaurant. It was a grab &amp;amp; go deal, we were only there for about 30 mins. Last weekend we were driving through Ft Worth again, one of the cards on my phone was directions to that restaurant. Google Now is creepy accurate if it can 1) nail the restaurant I'm eating at by GPS and 2) retain that info for a couple of months and recommend that I return there.&lt;/p&gt;&lt;p&gt;98% of the time Google Now's recommendations are applicable and helpful. That one made me wonder what else they're tracking.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Fri, 19 Apr 2013 13:26:27 -0000</pubDate></item><item><title>Re: Campus Ministry Partnerships</title><link>http://thebasicsite.org/resources/blog/54-advisors-and-student-leaders/238-campus-ministry-partnerships#comment-439034099</link><description>&lt;p&gt;I really like your suggestion about building trust among groups through regular prayer. It strikes me that the benefits of that practice extend beyond a growing community. I also really like the practical example set by Jackson Senyonga. We do indeed need one another.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Tue, 14 Feb 2012 12:17:41 -0000</pubDate></item><item><title>Re: Friday reviews roundup</title><link>http://www.zemanta.com/blog/friday-reviews-roundup/#comment-3130704</link><description>&lt;p&gt;Thanks for the mention and the link to Lost in Search! I still love your product, blogging is more fun when you link to others to expand their ideas or support your own, and your tool makes that a snap. Keep up the good work.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chris Leonard</dc:creator><pubDate>Fri, 17 Oct 2008 12:10:17 -0000</pubDate></item></channel></rss>