DASL – The Data And Story Library

After 40 years of service, Data Description has made the difficult decision to cease operations. The DASL Library will close on December 15, 2026.

Until then, we welcome inquiries from anyone interested in the database. Please contact us at Data Description.


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How to:

Find data suitable for teaching a statistics method or for a class project using that method

Click on the “Search by Statistical Method” box and choose a method from the dropdown menu. DASL uses all search items together, so if you seek any data suitable for a method, be sure to keep the “Search by text” field empty. Alternatively, you can indicate both a statistics method and a text search to work together. You can also specify more than one method to search for datasets suitable for several methods.

Find a specific dataset if you know its name or some text describing it

Type some identifiable text into the “Search by text” box. DASL searches while you type so you can see if you are on target. DASL searches all available descriptive text including the datafile name and description.

Restrict your search to small datasets

You may want to exclude larger datasets for pedagogical reasons or because you are working in an environment with restricted capability. Just indicate the range of data sizes in the Filter. Of course, this constraint works along with all other search criteria.

Get your copy of Data Desk

Data desk is a statistics and graphics data analysis system that is entirely point-and-click with no need to learn a language or worry about punctuation and syntax. Try it for free or get student access to the full program here.

Transfer data to R conveniently

The easiest trick for transferring DASL data to R is to use the Data desk program (available here: www.datadesk.com). Us the “Open in Data Desk” option for any datafile. Once in Data desk choose “Batch Export” from the R menu and drag the icons of the variables you wish to move into the window provided. (You don’t need to move all the variables in the dataset.) Click the Save Data button to save the data to the location you choose in text format. Then click the Save R Script option to save an R script that will read the data and on which you can build your own program. Note that if you first perform some analyses or make plots in Data desk you can export those to R as well, creating R programs that will reproduce them. Data desk is thus a fully graphical interface for basic R functions.

Find data for exercises in Intro Stats, Stats:Data and Models, Business Statistics, and Stats:Modelling the World

DASL has been developed by Paul Velleman. Datasets in textbooks he co-authored can generally be found by searching on the exercise title in the text for exercises that indicate datafiles are available.

About multiple files

You will see some datafiles with years appended to their names appearing multiple times. When a new version of the data or new data to add to the original file is available, DASL indicates that with a new datafile with the date appended. We do this so that teachers and books using older versions of the data will continue to have those versions available.