powerconsumption | R Documentation |
A data set containing measurements of the electric power consumption of one household with a time resolution of 10 minutes for the full year of 2008.
powerconsumption
A data frame with 52704 rows and 15 variables:
month of 2008
day of the month
hour (0 to 23)
starting minute of the 10 minutes period of this row
global average active power on the 10 minute period (in kilowatt)
global average reactive power on the 10 minute period (in kilowatt)
Average voltage on the 10 minute period (in volt)
global average current intensity on the 10 minute period (in ampere)
energy sub-metering No. 1 (in watt-hour of active energy averaged over the 10 minute period). It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered)
energy sub-metering No. 2 (in watt-hour of active energy averaged over the 10 minute period). It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light.
energy sub-metering No. 3 (in watt-hour of active energy averaged over the 10 minute period). It corresponds to an electric water-heater and an air-conditioner.
week number
day of the week from 1 = Sunday to 7 = Saturday
day of the year from 1 to 366 (2008 is a leap year)
Date and time in POSIXct format
This is a simplified version of the full data available on the UCI Machine Learning Repository under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, and provided by Georges Hebrail and Alice Berard.
The original data have been averaged over a 10 minute time period (discarding missing data in each period). The data set contains only the measurements from year 2008.
Notice that the different variables are expressed in the adapted units. In particular, the sub-meters are measuring active energy (in watt-hour) while the global active power is expressed in kilowatt.
Individual household electric power consumption, 2012, G. Hebrail and A. Berard, UC Irvine Machine Learning repository. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.24432/C58K54")}
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