Sample Selector

Sample Selector is a tool for creating and editing samples, or groups of data you compare across—they're not "samples" in the statistical sense, but more like filters.

By default, a single sample exists: "All Data". With the Sample Selector, you can create new samples to organize your data.

You can use samples to:

• Compare across conditions
• Narrow the scope of data analysis to a specific time range, set of students, problem category, or unit of a curriculum (for example)

A sample is composed of one or more filters, specific conditions that narrow down your sample.

Creating a sample

The general process for creating a sample is to:

• Add a filter from the categories at the left to the composition area at the right
• Modify the filter to select the subset of data you're interested in, saving it when done
• View the sample preview table to see the effect of adding your filter, making sure you don't have an empty set (ie, a filter or combination of filters that exclude all transactions).
• Name and describe the sample
• Decide whether to share the sample with others who can view the dataset
• Save the sample

The effect of multiple filters

DataShop interprets each filter after the first as an additional restriction on the data that is included in the sample. This is also known as a logical "AND". You can see the results of multiple filters in the sample preview as soon as all filters are "saved".

Read more about the Sample Selector

If you've logged in to DataShop before ...

... and you've linked your DataShop account with your university id

Sign in with InCommon. Start typing your institution's name (or click on the school's image if it is present). You will be logged into DataShop after authenticating.

... and you've linked your DataShop account with your Google accoount

Use the 'Sign in with Google' option. You will be logged into DataShop after authenticating.

If you've never logged in to DataShop before ...

... and you want to use your university account to authenticate

DataShop supports InCommon single sign-on (SSO). Start typing your institution's name in the box (or click on the school's image if it is present). After authenticating with your university, you will be asked to create a DataShop account. Complete the registration form to link your university identity with DataShop. The next time you log in, you will only need to authenticate with your university.

... and you want to use your Google account to authenticate

DataShop supports Google SSO. Use the 'Sign in with Google' option and then you will be directed to the registration page. Complete the form to link your Google identity with your DataShop account. The next time you log in, you will only need to authenticate with Google.