Over 57 billion minutes of The Office was streamed in 2020. My family bears some responsibility. Here's our activity visualized -- using SAS.
The post Visualizing our Netflix Trip through <em>The Office</em> appeared first on The SAS Dummy.
Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include:...
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SAS' Leonid Batkhan demonstrates a popular "divide-and-conquer" efficiency strategy using SAS/Connect®.
Running SAS programs in parallel using SAS/CONNECT® was published on SAS Users.
As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block...
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On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020....
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This, the third of three posts on our hot-fix process, provides a spreadsheet and tips to track and manage your SAS®9 environment.
How to schedule and manage your SAS hot fixes was published on SAS Users.
For ordinary least squares (OLS) regression, you can use a basic bootstrap of the residuals (called residual resampling) to perform a bootstrap analysis of the parameter estimates. This is possible because an assumption of OLS regression is that the residuals are independent. Therefore, you...
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Last year, I wrote more than 100 posts for The DO Loop blog. In previous years, the most popular articles were about SAS programming tips, statistical analysis, and data visualization. But not in 2020. In 2020, when the world was ravaged by the coronavirus...
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When you perform a linear regression, you can examine the R-square value, which is a goodness-of-fit statistic that indicates how well the response variable can be represented as a linear combination of the explanatory variables. But did you know that you can also go...
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