Loading New R Packages into AzureML

Microsoft Azure ML provides over 500 individual R packages for use in R scripts. It is almost certain, however, that at some point you will wish to use an R package not available by default. Several years ago, before Revolution Analytics was acquired by Microsoft, Andrie deVries created a very useful package called miniCRAN. This […]
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How to Interpret a Q-Q Plot

Statisticians have developed a remarkably powerful set of tools for analyzing normally distributed data. Too bad real data is never normally distributed. Fortunately for us, most of the time “close enough” is all we really need. But how are we to know? One quick and effective method is a look at a Q-Q plot. The […]
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Randomly Sampling Rows in R

It’s impossible to imagine a data scientist who does not have to randomly sample datasets on a regular basis. Most employ the useful and easy function sample( ), defined in R’s base namespace. Let’s take a closer look at sample( ) and then take a look at a flexible alternative that is just as easy […]
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New Improved SQL Server 2019! Now with more Spark!

If your server racks are anything like mine, they look impressive and powerful, clean and efficient. From the front, that is. Look behind the rack and there is a tangled rat’s nest of power cables, network connections, and those big clumsy things connecting to KVM switches. It’s worse on the inside. Data platforms and software […]
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Power BI: How to Save Memory for Better Performance

The tabular mode data storage used by Power BI, Power Pivot, and the SQL Server Analysis Services thrives on sufficient memory. Take away memory and performance plummets. You may be wasting memory and thus performance if you do not take advantage of opportunities to trim excess fat when you are first importing your data. And, […]
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