R Dataset / Package ISLR / OJ

Documentation

Documentation
On this R-data statistics page, you will find information about the OJ data set which pertains to Orange Juice Data. The OJ data set is found in the ISLR R package. You can load the OJ data set in R by issuing the following command at the console data("OJ"). This will load the data into a variable called OJ. If R says the OJ 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 OJ R data set. The size of this file is about 77,091 bytes. Orange Juice Data Description The data contains 1070 purchases where the customer either purchased Citrus Hill or Minute Maid Orange Juice. A number of characteristics of the customer and product are recorded. Usage OJ Format A data frame with 1070 observations on the following 18 variables. `Purchase` A factor with levels `CH` and `MM` indicating whether the customer purchased Citrus Hill or Minute Maid Orange Juice `WeekofPurchase` Week of purchase `StoreID` Store ID `PriceCH` Price charged for CH `PriceMM` Price charged for MM `DiscCH` Discount offered for CH `DiscMM` Discount offered for MM `SpecialCH` Indicator of special on CH `SpecialMM` Indicator of special on MM `LoyalCH` Customer brand loyalty for CH `SalePriceMM` Sale price for MM `SalePriceCH` Sale price for CH `PriceDiff` Sale price of MM less sale price of CH `Store7` A factor with levels `No` and `Yes` indicating whether the sale is at Store 7 `PctDiscMM` Percentage discount for MM `PctDiscCH` Percentage discount for CH `ListPriceDiff` List price of MM less list price of CH `STORE` Which of 5 possible stores the sale occured at Source Stine, Robert A., Foster, Dean P., Waterman, Richard P. Business Analysis Using Regression (1998). Published by Springer. 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(OJ) plot(OJ$Purchase,OJ$PriceCH) -- Dataset imported from https://www.r-project.org.

On this R-data statistics page, you will find information about the OJ data set which pertains to Orange Juice Data. The OJ data set is found in the ISLR R package. You can load the OJ data set in R by issuing the following command at the console data("OJ"). This will load the data into a variable called OJ. If R says the OJ 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 OJ R data set. The size of this file is about 77,091 bytes.

Orange Juice Data

Description

The data contains 1070 purchases where the customer either purchased Citrus Hill or Minute Maid Orange Juice. A number of characteristics of the customer and product are recorded.

Usage

OJ

Format

A data frame with 1070 observations on the following 18 variables.

Purchase: A factor with levels CH and MM indicating whether the customer purchased Citrus Hill or Minute Maid Orange Juice

WeekofPurchase: Week of purchase
StoreID: Store ID

PriceCH: Price charged for CH
PriceMM: Price charged for MM
DiscCH: Discount offered for CH
DiscMM: Discount offered for MM
SpecialCH: Indicator of special on CH
SpecialMM: Indicator of special on MM
LoyalCH: Customer brand loyalty for CH

SalePriceMM: Sale price for MM
SalePriceCH: Sale price for CH
PriceDiff: Sale price of MM less sale price of CH
Store7: A factor with levels No and Yes indicating whether the sale is at Store 7
PctDiscMM: Percentage discount for MM
PctDiscCH: Percentage discount for CH
ListPriceDiff: List price of MM less list price of CH
STORE: Which of 5 possible stores the sale occured at

Source

Stine, Robert A., Foster, Dean P., Waterman, Richard P. Business Analysis Using Regression (1998). Published by Springer.

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(OJ)
plot(OJ$Purchase,OJ$PriceCH)

--

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

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Attachment	Size
dataset-24819.csv	75.28 KB

Dataset License

GNU General Public License v2.0

Documentation License

GNU General Public License v2.0

R-DATA