intuitive visualizations of categorization for non-technical audiences
Apr 25, 2011 · 9 min read · analytics dataviz ggplot2 graphics predictive R visualization statistics ·For a project I’m working on at work, I’m building a predictive model that categorizes something (I can’t tell you what) into two bins. There is a default bin that 95% of the things belong to and a bin that the business cares a lot about, containing 5% of the things. Some readers may be familiar with the use of …
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I recently attended the INFORMS Conference on Business Analytics and Operations Research, aka “INFORMS Analytics 2011”, conference in Chicago. This deserves a little bit of an explanation. INFORMS is the professional organization for Operations Research (OR) and Management Science (MS), which are terms describing …
Read MoreNeil Saunders has an interesting (to me) blog post up this morning, with the title “Dumped on by data scientists.” He uses the use of “data scientist” in a Chronicle of Higher Ed article to rant a little bit about the term. For Neil, it’s redundant, as the act of doing science necessarily requires data; it’s insulting, …
Read MoreI was recently given the opportunity to re-present my ggplot2 talk, which I originally gave to the NYC R Meetup, to the DC R Meetup group. The Meetup was held co-located with the Predictive Analytics World conference in Alexandria, VA. (More on my thoughts on PAW below…) Contentwise, I made only small changes, changing …
Read MoreThe Meetup phenomenon, which is now substantial and longstanding enough to be more of a cultural change than a flash in the pan, continues to impress me. Even more so than tools like LinkedIn, Meetups have changed the nature of professional networking, making it more informal, diverse, and decentralized. Last night, …
Read MoreA few months back I gave a presentation to the NYC R Meetup. (R is a statistical programming language. If this means nothing to you, feel free to stop reading now.) The presentation was on ggplot2, a popular package for generating graphs of data and statistics. In the talk (which you can see here, including both my …
Read MoreThe problem of how to monetize online publishing, particularly news publishing, is neither new nor all that surprising. But the ongoing lack of a solution is steadily eating into news organizations across the country. Yesterday, the Times announced it was going to buy out or lay off 8% of its newsroom staff, despite …
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