Tag Archives: data science tutorials

Reducing Query Cost (and Making Better Use of Your Time)

Slow queries can happen in SAS, R, Python, SQL or any database language. These slow queries have a cost.

Reducing query cost is especially important in SAS – but do you know how to do it, or what it even means? Read my blog post to learn why this is important in health data analytics.

Referring to Columns in R by Name Rather than Number has Pros and Cons

There are different ways to refer to variables in R dataframes. You can use a field names, and you can also use field numbers.

Referring to columns in R can be done using both number and field name syntax. Although field name syntax is easier to use in programming, my blog demonstrates how you can use column numbers to make automation easier.

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

Making Upset Plots with R Package UpSetR Helps Visualize Patterns of Attributes

If you are having trouble setting options using R making plots, then you should read this blog post.

Making upset plots with R package UpSetR is an easy way to visualize patterns of attributes in your data. My blog post demonstrates making patterns of co-morbidities in health survey respondents from the BRFSS, and walks you through setting text and color options in the code.

Native Formats in SAS and R for Data Are Different: Here’s How!

Why use particular data formats for different programming languages in statistics? Because the programs can then process the data faster and with more accuracy.

Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!

SAS-R Integration Example: Transform in R, Analyze in SAS!

You can use SAS and R together in one project. I show you how to develop an analytic dataset in R and put it in SAS ODA for analysis.

Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!

SAS Macros for Beginners: Learn the Basics with my Tutorial Videos!

If you are new to SAS, you will want to learn about macros. I make video tutorials and have written a book about data warehousing to help learners grasp automation in SAS.

Want to get started learning about SAS macros? This blog post provides SAS macros for beginners with video tutorials to walk beginners and code newbies through the basic steps!

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