A wider dataset than typical_data containing information about some randomly generated people, created using the excellent wakefield package. It is created as deliberately odd / eclectic dataset.

typical_larger_data

Format

A data frame with 300 rows and 49 variables:

Age
Age of each individual, see ?wakefield::age for more info
Animal
A vector of animals, see ?wakefield::animal
Answer
A vector of "Yes" or "No"
Area
A vector of living areas "Suburban", "Urban", "Rural"
Car
names of cars - see ?mtcars
Children
vector of number of children - see ?wakefield::children
Coin
character vector of "heads" and "tails"
Color
vector of vectors from "colors()"
Date
vector of "important" dates for an individual
Death
TRUE / FALSE for whether this person died
Dice
6 sided dice result
DNA
vector of GATC nucleobases
DOB
birth dates
Dummy
a 0/1 dummy var
Education
education attainment level
Employment
employee status
Eye
eye colour
Grade
percent grades
Grade_Level
favorite school grade
Group
control or treatment
hair
hair colours - "brown", "black", "blonde", or "red"
Height
height in cm
Income
yearly income
Browser
choice of internet browser
IQ
intelligence quotient
Language
random language of the world
Level
levels between 1 and 4
Likert
likert response - "strongly agree", "agree", and so on
Lorem_Ipsum
lorem ipsum text
Marital
marital status- "married", "divorced", "widowed", "separated", etc
Military
miliary branch they are in
Month
their favorite month
Name
their name
Normal
a random normal number
Political
their favorite political party
Race
their race
Religion
their religion
SAT
their SAT score
Sentence
an uttered sentence
Sex_1
sex of their first child
Sex_2
sex of their second child
Smokes
do they smoke
Speed
their median speed travelled in a car
State
the last state they visited in the USA
String
a random string they smashed out on the keyboard
Upper
the last key they hit in upper case
Valid
TRUE FALSE answer to a question
Year
significant year to that individuals
Zip
a zip code they have visited

Note

the following code was used to create this data

library(wakefield)

set.seed(1214) typical_larger_data <- r_data_theme(n = 300, data_theme = "the_works")