| title | author | date | output |
|---|---|---|---|
README.md |
iNLyze |
November 7th, 2014 |
html_document |
This directory contains sources and results to course project 1 in Coursera / Data Science Specialization / Exploratory Data Analysis The assignment uses data from the UC Irvine Machine Learning Repository, a popular repository for machine learning datasets. The data has been made available on and will be downloaded from:
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Dataset: Electric power consumption [20Mb]
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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 instructions provided asked to include code for data preparation.
I decided to put all utility functions into a separate script called getAndLoadData.R
This contains three functions termed
download.and.unzip(directory)
read.energy.data(directory, file)
clean.and.subset()
By putting these functions into a separate file I keep the sources for the plot scripts concise. The file getAndLoadData.Rgets sourced from there and functions called as needed.
Note: You may want to have a variable "directory" in your workspace containing a chr string to the destination directory.