Introduction

This project uses data from the UC Irvine Machine Learning Repository, a popular repository for machine learning datasets. In particular, we will be using the "Individual household electric power consumption Data Set" which I have made available on the course web site:

• 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.

Quick Start

Step	Example
Clone this project	git clone https://github.com/carlosehernandezr/ExData_Plotting1.git
Download the dataset and unzip the file on the project folder	https://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption
Run the script of the plot that you want	plot1.R - plot2.R - plot3.R - plot4.R

Making Plots

Our overall goal here is simply to examine how household energy usage varies over a 2-day period in February, 2007 and reconstruct the following plots below, all of which were constructed using the base plotting system.

The four plots that you can construct are shown below.

Plot 1

Plot 2

Plot 3

Plot 4

Dependecies

This project use the lubridate package, you can download from CRAN just like that: install.packages('lubridate')