Author: Guillermo Florez Montero
First project of the Exploratory Data Analysis course at Coursera - Johns Hopkins University. This peroject 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”.
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.
Our overall goal here is simply to examine how household energy usage varies over a 2-day period in February, 2007.
This repo contains 4 exploratory graphs and the R code to generate each one
| Description | png plot | R code |
|---|---|---|
| Global Active Power histogram | plot1.png |
plot1.R |
| Daily Global Active Power | plot2.png |
plot2.R |
| Daily Energy Sub Metering | plot3.png |
plot3.R |
| Electric power consumption (4 plots) | plot4.png |
plot4.R |
More information of this project at the official repo of the instructor.