Upload one or more CSV rubric files. The app will automatically detect categories, resolve names, and check for missing data.
1. Set up the CSV file headers labeled as follows:
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2. Upload the CSV file(s)
We noticed some names are spelled very similarly. Please select the correct official name for each group to merge their data, or check "Keep Separate".
Some reviews are missing scores or reviewer names. Please fill them in below. If you leave a score blank, the app will safely ignore it when calculating averages.
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How to read this: This heatmap provides a quick visual scan of student performance across all rubrics. Colors are bucketed by performance: Green (80-100%) indicates strong performance, Yellow (70-79%) is average, and Orange/Red (< 70%) highlight areas needing attention.
How to read this: This chart normalizes all category scores to a 100% scale and stacks them. The total height of the bar represents the student's overall accumulated performance.
How to read this: This chart shows the average raw score for each category across the entire selected cohort. Use this to identify which skills the class as a whole excels at.
How to read this: This box plot shows the full spread of all scores given by all reviewers across the entire cohort. Taller boxes indicate a wide range of skill levels or grading variance.
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How to read this: This radar chart maps the student's average score in each category. A larger, more balanced shape indicates strong overall performance.
How to read this: Select up to 4 students below to overlay their data. The Radar Chart will show where their strengths cross over, while the Bar Chart shows their point differences side-by-side.