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Professor Review

Deck vs Data Audit

Every numerical claim from the submitted FoodHub deck, recomputed against the bundled CSV.

What this section answers

Are the numbers in the submitted presentation accurate?

Why this matters for the rubric

Demonstrates analytical rigor by validating reported figures against the source data before submission.

Matches
0
Close (rounding)
0
Incorrect
0
Claim-by-claim comparison
ClaimDeckActualStatus
What to fix in the submitted deck

Cuisine count. The dataset contains 14 cuisines, not 6 — update Slide 6 and the Data Overview narrative.

Average rating. The mean of rated orders is ≈ 4.34 / 5, not 3.4. The 70.7% "4 or 5 star" figure should also be ~84%.

Delivery-time → rating bullet. The claim that orders >45 min average 3.2 and <30 min average 4.5 is not supported by the data — the actual average rating for >45 min orders is ≈ 4.34, and no orders have a total time under 30 minutes (minimum prep + delivery is 35).

Weekend spend uplift. The real weekend-vs-weekday average-cost gap is roughly +1.6%, not +14%.

Delivery time std dev. Actual std is ≈ 4.97 minutes; the deck reports 6.8.

Premium $25+ share. Using "cost > $25" gives ≈ 16%, not 9.4%. If the deck intended a different threshold, state it explicitly.