R Dataset / Package ISLR / Default

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-islr-default.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-63314.csv 423.51 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Default data set which pertains to Credit Card Default Data. The Default data set is found in the ISLR R package. You can load the Default data set in R by issuing the following command at the console data("Default"). This will load the data into a variable called Default. If R says the Default 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 Default R data set. The size of this file is about 433,674 bytes.

Documentation

Credit Card Default Data

Description

A simulated data set containing information on ten thousand customers. The aim here is to predict which customers will default on their credit card debt.

Usage

Default

Format

A data frame with 10000 observations on the following 4 variables.

default

A factor with levels No and Yes indicating whether the customer defaulted on their debt

student

A factor with levels No and Yes indicating whether the customer is a student

balance

The average balance that the customer has remaining on their credit card after making their monthly payment

income

Income of customer

Source

Simulated data

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(Default)
glm(default~student+balance+income,family="binomial",data=Default)
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Dataset imported from https://www.r-project.org.

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