SAS Dataset resources

[jltroup10]

Hi Everyone!

I am looking for recommendations on reputable sources (websites) of SAS compatible datasets to analyze using SAS studio. I am unsure what type of dataset is best and what approach to take in discovering valuable insights! Any input would be helpful!

[RW9]

SAS can use most data sources.  Datasets can be used natively.  CSV, Excel files need to be imported.  Databases can be connected to.  Etc.  As for the rest of it, nobody can tell you what you want/need, only you know that.

[ballardw]

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@jltroup10 wrote:

Hi Everyone!

I am looking for recommendations on reputable sources (websites) of SAS compatible datasets to analyze using SAS studio. I am unsure what type of dataset is best and what approach to take in discovering valuable insights! Any input would be helpful!

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What type of analysis are you attempting to learn? The data should support the type of analysis. For instance a data set of nothing but character categorical variables won't work very well for linear regression analysis where the model variables have to be numeric.

[BrianGaines · Accepted solution]

I've always found the SAS resources available from the UCLA Institute for Digital Research and Education to be very useful.  If you go to "Data Analysis Examples," they provide tutorials (including links to the SAS datasets) on how to implement a variety of statistical analysis techniques with SAS.  

The SAS Video Portal also has several tutorial videos on SAS Studio and a lot of them show you how to use a SAS Studio task to implement a certain statistical model, typically using a dataset available in the SASHELP library.

Additionally, the SAS Studio 3.71: Task Reference Guide provides an example for each task, also typically using readily-available datasets in the SASHELP library.

[Reeza]

Use the examples listed in the documentation. There's full code for each and it comes with many useful data sets. There's also quite a few data sets in the SASHELP library by default available, such as CLASS, CARS and HEART. Those cover most of the analysis you'll want to try at the beginning.