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
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")