Daily Deaths from Cholera and Diarrhaea in England, 1849

Description

Deaths from Cholera and Diarrhaea, for each day of the month of each of the 12 months of 1849.

This was used by William Farr (GRO & Farr, 1852, Plate 2) to produce a time series chart of these deaths, in which he also recorded various meteorological phenomena (barometer, wind, rain), to see if he could find any patterns. This chart is available on the web site for Friendly & Wainer (2021) as Fig 4.1, https://friendly.github.io/HistDataVis/figs-web/04_1-cholera-diarrhea.png.

James Riley (2023) notes, "Cholera 1849 has special significance — it is likely to be one of few modern pandemics that was completely unmitigated."

Usage

data("CholeraDeaths1849")

Format

A data frame with 730 observations on the following 6 variables.

month

a character vector

cause_of_death

a factor with levels Cholera Diarrhaea

day_of_month

a character vector

deaths

a numeric vector

date

a Date

day_of_week

an ordered factor with levels Mon < Tue < Wed < Thu < Fri < Sat < Sun

Details

The data set was transcribed by James Riley to a spreadsheet, https://github.com/jimr1603/1849-cholera. He notes, "the scan at Internet Archive has a fold on day 11. I have derived this column from the row totals."

Source

The original source is: General Register Office, William Farr (1852), Report on the Mortality of Cholera in England, 1848-49. London: Printed by W. Clowes, for HMSO; scanned by the Internet Archive from the collection of King's College London and available at https://archive.org/details/b21308251/page/20/mode/2up.

References

Friendly, M. & Wainer, H. (2021). A History of Data Visualization and Graphic Communication, Harvard University Press. https://www.hup.harvard.edu/catalog.php?isbn=9780674975231.

Riley, J. (2023). "Cholera in Victorian England", blog post, https://openor.blog/2023/07/27/cholera-in-victorian-england/.

See Also

Cholera, Snow.deaths

Examples

data(CholeraDeaths1849)
str(CholeraDeaths1849)

# Reproduce Farr's (1852) plate 2
library(ggplot2)
CholeraDeaths1849  |>
  ggplot(aes(x = date, y = deaths, colour = cause_of_death)) +
  geom_line(linewidth = 1.2) +
  theme_bw(base_size = 14) +
  theme(legend.position = "top")