You are reading the README.md file in the plotting GitHub repository associated with Russ Robbins. This repository stores the files that plot electricity consumption. Please see below.

Example - Plotting using Base R

This example uses data from the UC Irvine Machine Learning Repository. The data set is the "Individual household electric power consumption" data set.

Data

• Dataset: Electric power consumption [20Mb]

• Description: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

The following descriptions of the 9 variables in the dataset are taken from the UCI web site:

1. Date: Date in format dd/mm/yyyy
2. Time: time in format hh:mm:ss
3. Global_active_power: household global minute-averaged active power (in kilowatt)
4. Global_reactive_power: household global minute-averaged reactive power (in kilowatt)
5. Voltage: minute-averaged voltage (in volt)
6. Global_intensity: household global minute-averaged current intensity (in ampere)
7. Sub_metering_1: energy sub-metering No. 1 (in watt-hour of active energy). It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered).
8. Sub_metering_2: energy sub-metering No. 2 (in watt-hour of active energy). It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light.
9. Sub_metering_3: energy sub-metering No. 3 (in watt-hour of active energy). It corresponds to an electric water-heater and an air-conditioner.

• The dataset has 2,075,259 rows and 9 columns.

• I used data from the dates 2007-02-01 and 2007-02-02.

Plotting

Goal: Examine how household energy usage varies over a 2-day period in February, 2007.

Initially, I forked and cloned the following GitHub repository: https://github.com/rdpeng/ExData_Plotting1

For each plot I

• Constructed the plot and saved it to a PNG file with a width of 480 pixels and a height of 480 pixels.

• Named each of the plot files as plot1.png, plot2.png, etc.

• Created a separate R code file (plot1.R, plot2.R, etc.) that constructs the corresponding plot, i.e. code in plot1.R constructs the plot1.png plot.

• Added the PNG file and R code file to your git repository

##Results

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