First of all notify that the data folder with the "household_power_consumption.txt" is gitignored because of his size. So consider you already download it.
When loading the dataset into R, please consider the following:
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The dataset has 2,075,259 rows and 9 columns. First calculate a rough estimate of how much memory the dataset will require in memory before reading into R. Make sure your computer has enough memory (most modern computers should be fine).
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We will only be using data from the dates 2007-02-01 and 2007-02-02. One alternative is to read the data from just those dates rather than reading in the entire dataset and subsetting to those dates.
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You may find it useful to convert the Date and Time variables to Date/Time classes in R using the
strptime()andas.Date()functions.
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Construct the plot and save it to a PNG file with a width of 480 pixels and a height of 480 pixels.
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Name each of the plot files as
plot1.png,plot2.png, etc. -
Create a separate R code file (
plot1.R,plot2.R, etc.) that constructs the corresponding plot, i.e. code inplot1.Rconstructs theplot1.pngplot. Your code file should include code for reading the data so that the plot can be fully reproduced. You should also include the code that creates the PNG file. -
Add the PNG file and R code file to your git repository
When you are finished with the assignment, push your git repository to GitHub so that the GitHub version of your repository is up to date. There should be four PNG files and four R code files.
The four plots that you will need to construct are shown below.
