Tag Archives: data preparation

Data Science

Querying the GHDx Database: Demonstration and Review of Application

Posted on by Monika Wahi
Many data scientists interested in health are looking to query the Global Burden of Disease database, also known as the GHDx
16
Feb

Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!

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Data Science

Referring to Variables in Processing Data is Different in SAS Compared to R

Posted on by Monika Wahi
When doing data processing, especially extract-transform-load (ETL) into a data warehouse, you might need to refer to the variables in your code, and it's done differently in SAS vs. R.
28
Jan

Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.

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Data Science

Counting Rows in SAS and R Use Totally Different Strategies

Posted on by Monika Wahi
If you are a data scientist working with large datasets, you need to learn the commands to count both columns and rows in the dataset, whether you are using SAS or R.
14
Jan

Counting rows in SAS and R is approached differently, because the two programs process data in different ways. Read my blog post where I describe both ways.

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Data Science

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

Posted on by Monika Wahi
Why use particular data formats for different programming languages in statistics? Because the programs can then process the data faster and with more accuracy.
07
Jan

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!

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Data Science

Dumbbell Plot for Comparison of Rated Items: Which is Rated More Highly – Harvard or the U of MN?

Posted on by Monika Wahi
This is an example of a dumbbell plot from the ggalt package in R that you can also use in RStudio
20
Sep

Want to compare multiple rankings on two competing items – like hotels, restaurants, or colleges? I show you an example of using a dumbbell plot for comparison in R with the ggalt package for this exact use-case!

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