R Dataset / Package ISLR / Wage

On this R-data statistics page, you will find information about the Wage data set which pertains to Mid-Atlantic Wage Data. The Wage data set is found in the ISLR R package. You can load the Wage data set in R by issuing the following command at the console data("Wage"). This will load the data into a variable called Wage. If R says the Wage data set is not found, you can try installing the package by issuing this command install.packages("ISLR") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Wage R data set. The size of this file is about 465,200 bytes.

Mid-Atlantic Wage Data

Description

Wage and other data for a group of 3000 workers in the Mid-Atlantic region.

Usage

Wage

Format

A data frame with 3000 observations on the following 12 variables.

year: Year that wage information was recorded
age: Age of worker
sex: Gender
maritl: A factor with levels 1. Never Married 2. Married 3. Widowed 4. Divorced and 5. Separated indicating marital status
race: A factor with levels 1. White 2. Black 3. Asian and 4. Other indicating race
education: A factor with levels 1. < HS Grad 2. HS Grad 3. Some College 4. College Grad and 5. Advanced Degree indicating education level
region: Region of the country (mid-atlantic only)
jobclass: A factor with levels 1. Industrial and 2. Information indicating type of job
health: A factor with levels 1. <=Good and 2. >=Very Good indicating health level of worker
health_ins: A factor with levels 1. Yes and 2. No indicating whether worker has health insurance
logwage: Log of workers wage
wage: Workers raw wage

Source

Data was manually assembled by Steve Miller, of Open BI (www.openbi.com), from the March 2011 Supplement to Current Population Survey data.

http://thedataweb.rm.census.gov/TheDataWeb

References

Games, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) An Introduction to Statistical Learning with applications in R, www.StatLearning.com, Springer-Verlag, New York

Examples

summary(Wage)
lm(wage~year+age,data=Wage)
## maybe str(Wage) ; plot(Wage) ...

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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