Friday the 13th

Description

This dataset addresses issues of how superstitions regarding Friday the 13th affect human behavior, and whether Friday the 13th is an unlucky day. Scanlon, et al. collected data on traffic and shopping patterns and accident frequency for Fridays the 6th and 13th between October of 1989 and November of 1992.

Usage

friday

Format

A data frame with 61 observations and 6 variables.

type

Type of observation, traffic, shopping, or accident.

date

Year and month of observation.

sixth

Counts on the 6th of the month.

thirteenth

Counts on the 13th of the month.

diff

Difference between the sixth and the thirteenth.

location

Location where data is collected.

Details

There are three types of observations: traffic, shopping, and accident. For traffic, the researchers obtained information from the British Department of Transport regarding the traffic flows between junctions 7 to 8 and junctions 9 to 10 of the M25 motorway. For shopping, they collected the numbers of shoppers in nine different supermarkets in southeast England. For accidents, they collected numbers of emergency admissions to hospitals due to transport accidents.

Source

Scanlon, T.J., Luben, R.N., Scanlon, F.L., Singleton, N. (1993), "Is Friday the 13th Bad For Your Health?," BMJ, 307, 1584-1586. https://dasl.datadescription.com/datafile/friday-the-13th-traffic and https://dasl.datadescription.com/datafile/friday-the-13th-accidents.

Examples

library(dplyr)
library(ggplot2)

friday |>
  filter(type == "traffic") |>
  ggplot(aes(x = sixth)) +
  geom_histogram(binwidth = 2000) +
  xlim(110000, 140000)

friday |>
  filter(type == "traffic") |>
  ggplot(aes(x = thirteenth)) +
  geom_histogram(binwidth = 2000) +
  xlim(110000, 140000)