Sample data for demographic, technology, and employment information.

A dataset containing demographic information about individuals, including their unique identifier, age, height, weight, marital status, education level, employment status, socioeconomic status, language, technology ownership, and skills in various tools.

Usage

data("data_sample")

Format

A tibble with 10 rows and 19 variables:

id: character: Unique identifier for each individual.
region: character: The region where the individual is from.
age: numeric: Age of the individual in years.
age_group: character: Age group of the individual.
height: numeric: Height of the individual in meters.
weight: numeric: Weight of the individual in kilograms.
blood_group: character: Blood group of the individual.
marital_status: character: Marital status of the individual.
education: character: The highest level of education attained.
employed: character: Employment status of the individual.
ses: character: Socioeconomic status of the individual.
language: character: The primary language spoken by the individual.
phone: character: The type of phone the individual uses.
transport: character: The primary mode of transport used by the individual.
gadgets_owned: character: A comma-separated list of gadgets owned by the individual.
r: character: Whether the individual has skills in R.
python: character: Whether the individual has skills in Python.
sas: character: Whether the individual has skills in SAS.
stata: character: Whether the individual has skills in Stata.
spss: character: Whether the individual has skills in SPSS.
excel: character: Whether the individual has skills in Excel.

Source

Simulated data for demonstration purposes.

Examples

dta_gtable(head(data_sample))


  id
      region
      age
      age_group
      height
      weight
      blood_group
      marital_status
      education
      employed
      ses
      language
      phone
      transport
      gadgets_owned
      r
      python
      sas
      stata
      spss
      excel
    
STM/7539
Central
56
50-59
1.70
73
AB
Married
Bachelors
Yes
Middle
Mandarin
OnePlus
Bicycle
Smart TV, Tablet, Desktop Computer, Digital Camera, Smartphone
No
No
No
No
No
Yes
STM/7993
Central
46
40-49
1.57
53
B
Married
Bachelors
No
Middle
French
OnePlus
Train
Smartphone, Smart TV
No
Yes
No
No
No
No
STM/7387
South
45
40-49
1.47
85
AB
Married
Bachelors
No
High
Arabic
Samsung
Car
Tablet, Smart TV, Smartwatch, Desktop Computer, Laptop
No
Yes
No
Yes
Yes
No
STM/5598
West
37
30-39
1.67
77
AB
Single
Bachelors
Yes
Middle
English
OnePlus
Bus
Desktop Computer, Digital Camera, Smartphone, Smart TV, Tablet
No
Yes
No
Yes
No
No
STM/5901
North East
45
40-49
1.69
53
A
Single
Bachelors
Yes
Low
Arabic
OnePlus
Bus
Smartwatch, Desktop Computer
No
No
No
Yes
Yes
No
STM/7529
North East
51
50-59
1.90
75
A
Married
Bachelors
No
Middle
Mandarin
Samsung
Bus
Desktop Computer, Smartwatch, Tablet
Yes
Yes
No
No
No
No

id	region	age	age_group	height	weight	blood_group	marital_status	education	employed	ses	language	phone	transport	gadgets_owned	r	python	sas	stata	spss	excel
STM/7539	Central	56	50-59	1.70	73	AB	Married	Bachelors	Yes	Middle	Mandarin	OnePlus	Bicycle	Smart TV, Tablet, Desktop Computer, Digital Camera, Smartphone	No	No	No	No	No	Yes
STM/7993	Central	46	40-49	1.57	53	B	Married	Bachelors	No	Middle	French	OnePlus	Train	Smartphone, Smart TV	No	Yes	No	No	No	No
STM/7387	South	45	40-49	1.47	85	AB	Married	Bachelors	No	High	Arabic	Samsung	Car	Tablet, Smart TV, Smartwatch, Desktop Computer, Laptop	No	Yes	No	Yes	Yes	No
STM/5598	West	37	30-39	1.67	77	AB	Single	Bachelors	Yes	Middle	English	OnePlus	Bus	Desktop Computer, Digital Camera, Smartphone, Smart TV, Tablet	No	Yes	No	Yes	No	No
STM/5901	North East	45	40-49	1.69	53	A	Single	Bachelors	Yes	Low	Arabic	OnePlus	Bus	Smartwatch, Desktop Computer	No	No	No	Yes	Yes	No
STM/7529	North East	51	50-59	1.90	75	A	Married	Bachelors	No	Middle	Mandarin	Samsung	Bus	Desktop Computer, Smartwatch, Tablet	Yes	Yes	No	No	No	No