BigFoot Sightings Dataset

February 2023 Civic Difficulty 2/5 XLSX 4.6 MB 5,021 rows × 26 cols 0 downloads
  • bigfoot
  • sightings
  • paranormal
  • geographic
  • weather

5,021 Bigfoot sighting reports with location, date, weather context (temperature, humidity, moon phase), and classification. Good for regional hotspot mapping and weather-correlation storytelling.

Challenge brief


slug: 2023-02-bigfoot-sightings title: BigFoot Sightings Dataset year: 2023 month: 02 source: authored authored_at: 2026-04-19 needs_leon_review: true

BigFoot Sightings Dataset - Challenge Brief

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

About the data

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

  • observed
  • county
  • state
  • season
  • title
  • latitude
  • longitude
  • date
  • number
  • classification
  • temperature_high
  • temperature_mid
  • temperature_low
  • dew_point
  • humidity
  • cloud_cover
  • moon_phase
  • precip_intensity
  • precip_probability
  • precip_type
  • pressure
  • summary
  • uv_index
  • visibility
  • wind_bearing
  • ...and 1 more columns

Suggested analytical angles

  • Where and when are sightings most reported across the US?
  • How do weather conditions (temperature, humidity, moon phase) relate to reports?
  • Which states and seasons have the tightest sighting clusters?
  • Does classification rigour vary across reporters and eras?

What great submissions did

This brief was reconstructed from the dataset contents in 2026 as part of the Playground audit. The original February 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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