Name:

Description:

Data from utility bills at a private residence. This is an augmented version of Utilities.

Variables:

A data frame containing 117 observations for 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 electric 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)

Link To Google Sheets:

Rows:

Columns:

Files:

License Type:

References/Notes/Attributions:

Source

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

See Also

Utilities.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

R Coding Interface: