Description

Assignment 1 for Exploratory Data Analysis. The scripts assume that there is a data folder in the working directory containing the dataset.

If you want to run the code:

1. Download the script you want to run from github
2. Set the working directory to the directory containg the script
3. Within that directory create a data folder
4. Download the dataset from

• Dataset: Electric power consumption [20Mb]

5. Unzip it in the data folder
6. Run the code.

The expected result is the output of the png file.

Here are my plots:

I have used a transparent background as in the original figures folder and because I wanted to learn how to do that. I am attaching them here so it is easy for you to view them. These are links to the plots I have generated in the repo.

Plot 1

Plot 2

Plot 3

Plot 4

About the data

This assignment 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.