utilities: Utilities bills

In fastR: Foundations and Applications of Statistics Using R

Description

Data from utility bills at a residence.

Format

A data frame the following variables.

• month month (coded as a number)

• day day of month on which bill was calculated

• year year of bill

• temp average temperature (F) for billing period

• kwh electricity usage (kwh)

• ccf gas usage (ccf)

• thermsPerDay a numeric vector

• billingDays number of billing days in billing period

• totalbill total bill (in dollars)

• gasbill gas bill (in dollars)

• elecbill exectric bill (in dollars)

• notes notes about the billing period

• ccfpday average gas usage per day [utilities2 only]

• kwhpday average electric usage per day [utilities2 only]

• gasbillpday gas bill divided by billing days [utilities2 only]

• elecbillpday electric bill divided by billing days a numeric vector [utilities2 only]

• totalbillpday total bill divided by billing days a numeric vector [utilities2 only]

• therms thermsPerDay * billingDays [utilities2 only]

• monthsSinceY2K months since 2000 [utilities2 only]

Source

Daniel T. Kaplan, Statistical modeling: A fresh approach, 2009.

Examples

data(utilities); data(utilities2)
xyplot(gasbill ~ temp, data=utilities)
xyplot(gasbillpday ~ temp, data=utilities2)

fastR documentation built on May 1, 2019, 11:18 p.m.