smoking {openintro}

UK Smoking Data

Description

Survey data on smoking habits from the UK. The dataset can be used for analyzing the demographic characteristics of smokers and types of tobacco consumed.

Usage

smoking

Format

A data frame with 1691 observations on the following 12 variables.

gender

Gender with levels Female and Male.

age

Age.

marital_status

Marital status with levels Divorced, Married, Separated, Single and Widowed.

highest_qualification

Highest education level with levels A Levels, Degree, GCSE/CSE, GCSE/O Level, Higher/Sub Degree, No Qualification, ONC/BTEC and Other/Sub Degree

nationality

Nationality with levels British, English, Irish, Scottish, Welsh, Other, Refused and Unknown.

ethnicity

Ethnicity with levels Asian, Black, Chinese, Mixed, White and Refused Unknown.

gross_income

Gross income with levels Under 2,600, 2,600 to 5,200, 5,200 to 10,400, 10,400 to 15,600, 15,600 to 20,800, 20,800 to 28,600, 28,600 to 36,400, Above 36,400, Refused and Unknown.

region

Region with levels London, Midlands & East Anglia, Scotland, South East, South West, The North and Wales

smoke

Smoking status with levels No and Yes

amt_weekends

Number of cigarettes smoked per day on weekends.

amt_weekdays

Number of cigarettes smoked per day on weekdays.

type

Type of cigarettes smoked with levels Packets, Hand-Rolled, Both/Mainly Packets and Both/Mainly Hand-Rolled

Source

National STEM Centre, Large Datasets from stats4schools, https://www.stem.org.uk/resources/elibrary/resource/28452/large-datasets-stats4schools.

Examples

library(ggplot2)

ggplot(smoking, aes(x = amt_weekends)) +
  geom_histogram(binwidth = 5)

ggplot(smoking, aes(x = amt_weekdays)) +
  geom_histogram(binwidth = 5)

ggplot(smoking, aes(x = gender, fill = smoke)) +
  geom_bar(position = "fill")

ggplot(smoking, aes(x = marital_status, fill = smoke)) +
  geom_bar(position = "fill")