> ## Documentation Index > Fetch the complete documentation index at: https://docs.goguardian.com/llms.txt > Use this file to discover all available pages before exploring further. # Early Warning with Data Studio > Use the Early Warning report in Pear Assessment Data Studio to identify students who may be at risk based on attendance and academic performance. In Pear Assessment, the Early Warning report identifies students who may be at risk based on their attendance and academic performance, so administrators and teachers can plan interventions. This is an enterprise report available to administrators and teachers. View of the Data Studio reports, including Early Warning. ## Apply Filters The Early Warning tab opens to a set of filters that narrow the scope of the report: Student Set, Tests, Demographics, and Duration. Filters on the Early Warning tab. ## Review the Report Sections ### Overall Risk Displays the number of students at high and medium risk, with the change from a comparable previous period. For example, if January to March is selected, the change is measured against October to December. Student risk bands appear in a pie chart. ### Risk Over Time A line chart shows the number of students at high and medium risk over time. When Cumulative is selected, calculations are based on all data up to the selected month or quarter. When it is not selected, only the data for that month or quarter is used. image.png ### Risk Distribution Compares data by school, teacher, class, race, gender, and demographics. The data shown is based on the risk level selected from the risk drop-down menu. image.png This report helps district administrators identify students who may be falling behind in academics or attendance and address those issues proactively.