Checking an AI-made data representation against the source data
Check an AI-made chart or summary by comparing its values, labels and totals with the original data. If they differ, correct the prompt and re-run it.
Understanding Checking an AI-made data representation against the source data in VCE Data Analytics U4O1
What it does: Comparing the axis title and scale with the original data confirms the chart is labelled and scaled correctly. After finding a mismatch, the student rewrites the prompt more precisely and runs it again, then checks the new output. Use your own formula on the source data. Asking the AI to confirm itself is not an independent check. Labels must match the data they describe. A wrong label can mislead the reader, so fix it and re-run. Checking scales is part of verifying AI output. A truncated axis can exaggerate differences. A new result can have new errors. Verify it again against the original data.
Common mistakes: The AI chart claims the highest value, so you must recalculate the maximum from the source data. min(src) finds the lowest value. It should be top = max(src). The check should flag values where the AI value differs from the source value. Using == flags the matches instead. It should be if s != a.
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This module's key terms are also in a printable crossword (Modules 3–37) and word search (Modules 3–62).
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