Car Insurance Policies

August 2023 Finance Difficulty 3/5 TXT · XLSX 3.7 MB 37,542 rows × 16 cols 0 downloads
  • insurance
  • policies
  • finance
  • risk
  • demographics

37,542 car-insurance policy records with customer demographics, car use, marital status, education, and claim history fields. Useful for risk-scoring demonstrations and premium-band analysis.

Challenge brief


slug: 2023-08-car-insurance-policies title: Car Insurance Policies year: 2023 month: 08 source: authored authored_at: 2026-04-19 needs_leon_review: true

Car Insurance Policies - Challenge Brief

Challenge period: August 2023 Dataset: Reconstructed brief based on the shipped data file for the August 2023 DataDNA challenge.

About the data

The primary data table for this challenge carries the following columns:

  • ID
  • birthdate
  • marital_status
  • car_use
  • gender
  • kids_driving
  • parent
  • education
  • car_make
  • car_model
  • car_color
  • car_year
  • claim_freq
  • coverage_zone
  • claim_amt
  • household_income

Suggested analytical angles

  • Which customer attributes most strongly predict claim frequency?
  • How do car-use and marital status correlate with risk scoring?
  • Which regions show the highest average premiums?
  • How do income and credit-score bands map to policy tiers?

What great submissions did

This brief was reconstructed from the dataset contents in 2026 as part of the Playground audit. The original August 2023 challenge brief was not preserved as a separate file in the source archive, so the analytical angles above are inferred from the column list. See the corresponding /challenges/ entry on datadna.onyxdata.co.uk for examples of how participants approached the data.

Editorial note

_This stub was authored by Claude on 2026-04-19 for Leon's review. Refine the suggested angles and confirm factual accuracy before setting brief_status = leon_reviewed in the audit log._

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