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:

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:

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".


« Back to DataShop

What is DataShop?

The Pittsburgh Science of Learning Center (PSLC) DataShop is a data repository and web application for learning science researchers. It provides secure data storage as well as an array of analysis and visualization tools available through a web-based interface.

DataShop is funded by a National Science Foundation grant (SBE-0836012) to LearnLab, the Pittsburgh Science of Learning Center. Previously it was funded by NSF award number SBE-0354420.

Starting Points

An introduction to using DataShop for exploratory analysis

View more DataShop tutorials on YouTube

Version 9.4.4 August 2, 2017