Requirements

In this project you will learn to create data visualizations in R, an open source software environment for statistics computing and graphics. For more information on R, visit this page, which contains links to many R examples.

https://sites.google.com/site/gsudatavis/home/r-for-data-processing-and-visualization

R comes with its own GUI, but you may use other R GUIs such as RStudio.

1. Download either 04cars.csv or housing_price.csv from the link below , and load it into R.

https://sites.google.com/site/gsudatavis/home/r-for-data-processing-and-visualization

2. Create at least 5 charts based on the data set.

a. The 5 charts must be of different types.

b. Draw two charts using basic graphics functions.

c.Draw two charts using functions in the lattice package.

d.Draw one chart using functions in the ggplot2 package.

e. At least one of the charts must be a plot matrix. See the examples on this page.

https://sites.google.com/site/gsudatavis/home/r-for-data-processing-and-visualization

f. Every chart should have a main title. The X and Y axes should be properly labeled.

g.Add baseline, text, legend, and arrow to at least one of the charts.

h. Save each chart into an image or PDF file. First select the chart window, and then go to menu File -> Save as.

i. Save the history of your work session into a text file. You can use the command savehistory(file = filename.txt) to save the history of your work session into a text file in your working directory. Another way to create such a file is to select all the content in the R Console and then copy and paste it to a text file.