R Dataset / Package ISLR / Wage

How To Create a Barplot

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Visual
Instructional

How To Create a Stacked Barplot

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Visual
Instructional

How To Create a Pie Chart

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Visual

How To Compute the Mean

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Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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Hollow Histogram

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Numerical Summaries

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

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Plot

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Regression

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Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-islr-wage.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-37830.csv 454.3 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com 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. 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.
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    • How To Create a Stacked Barplot - This application will show you how to create a stacked bar plot from a column vector.
    • How To Create a Pie Chart - This application will show you how to create a pie chart from a column of data
    • How To Compute the Mean - This application will show you how to compute the mean from a column vector
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R Output Date
Picostat Output - Simple Linear Regression May 6, 2020
Picostat Output - Arithmetic Mean May 6, 2020
Picostat Output - Simple Linear Regression May 6, 2020
Picostat Output - Bivariate Plot May 5, 2020
Picostat Output - Correlation Coefficients May 15, 2018
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