What can we learn from Clippy about AI?

May 29, 2019
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What can we learn from Clippy about AI?

Interestingly enough, paperclips have their own day of honor. On May 29th we celebrate #NationalPaperclipDay! That well-known piece of curved wire deserves attention for keeping our papers together and helping us stay organized. Do you remember who else deserved the same attention? Clippit – the infamous Microsoft Office assistant, popularly known as ‘Clippy’.

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Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS

May 28, 2019
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Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS

In my ongoing quest to track The Popularity of Data Science Software, I've just updated my analysis of the job market. To save you from reading the entire tome, I'm reproducing that section here. Continue reading
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The Theil-Sen robust estimator for simple linear regression

May 28, 2019
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The Theil-Sen robust estimator for simple linear regression

Modern statistical software provides many options for computing robust statistics. For example, SAS can compute robust univariate statistics by using PROC UNIVARIATE, robust linear regression by using PROC ROBUSTREG, and robust multivariate statistics such as robust principal component analysis. Much of the research on robust regression was conducted in the

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SAS 9.4 architecture – building an installation from the ground up

May 23, 2019
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SAS 9.4 architecture – building an installation from the ground up

Understanding SAS 9.4 architecture is key to tackling the tasks and responsibilities that come with SAS administration, and will help you know where to look to make changes or troubleshoot problems.

SAS 9.4 architecture – building an installation from the ground up was published on SAS Users.


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Analysis of Movie Reviews using Visual Text Analytics

May 22, 2019
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Analysis of Movie Reviews using Visual Text Analytics

This blog shows how the automatically generated concepts and categories in Visual Text Analytics (VTA) can be refined using LITI and Boolean rules. I will use a data set that contains information on 1527 randomly selected movies: their titles, reviews, MPAA Ratings, Main Genre classifications and Viewer Ratings.

Analysis of Movie Reviews...
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Gershgorin discs and the location of eigenvalues

May 22, 2019
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Gershgorin discs and the location of eigenvalues

The eigenvalues of a matrix are not easy to compute. It is remarkable, therefore, that with relatively simple mental arithmetic, you can obtain bounds for the eigenvalues of a matrix of any size. The bounds are provided by using a marvelous mathematical result known as Gershgorin's Disc Theorem. For certain

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Essentials of Map Coordinate Systems and Projections in Visual Analytics

May 21, 2019
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Essentials of Map Coordinate Systems and Projections in Visual Analytics

If you spend any time working with maps and spatial data, having a fundamental understanding of coordinate systems and map projections becomes necessary.  It’s the foundation of how spatial data and maps work.  These areas invariably evoke trepidation and some angst, even in the most seasoned map professional.  And rightfully

Essentials of...
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Critical values of the Kolmogorov-Smirnov test

May 20, 2019
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Critical values of the Kolmogorov-Smirnov test

Recently I wrote about how to compute the Kolmogorov D statistic, which is used to determine whether a sample has a particular distribution. One of the beautiful facts about modern computational statistics is that if you can compute a statistic, you can use simulation to estimate the sampling distribution of

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Do books count as endangered species?

May 17, 2019
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Do books count as endangered species?

As a publishing house inside of SAS, we often hear: “Does anyone want to read books anymore?” Especially technical programmers who are “too busy” to read. About a quarter of American adults (24%) say they haven’t read a book in whole or in part in the past year, whether in

Do books...
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