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".



The metrics report provides an overview of the quantity of data in DataShop, organized by Area and Subject.

All of the fields in this report are shown on the Dataset Info / Overview page for each dataset. From the Dataset Info / Overview and Papers and Files pages, you can set the Area/Subject and add files or papers. The rest of the fields are calculated by examining the data contained in each dataset.

If a dataset does not have a Area/Subject set for it, then it is excluded from this report.

Column Descriptions

Subject or Area
Subject or Area, as defined on each dataset's Dataset Info / Overview page.
The number of files attached to datasets in the Subject or Area.
The number of papers attached to datasets in the Subject or Area.
The number of datasets categorized under the Subject or Area.
Student Actions
The number of transactions for all datasets in the Subject or Area.
The number of unique students for datasets in the Subject or Area. The count of students is only unique within each dataset, so a single student could appear and be counted in more than one dataset.
Student Hours
The number of hours of student activity in the logs, represented in each dataset by the sum of the duration of all student transactions.