Silicon Valley University Visual Analytics R and R Studio Worksheet

1. Show meta data from the mpg dataframe using summary().
2. Show metadata from the gapminder dataframe
3. assign ggplot(data = gapminder, mapping = aes(x = gdpPercap, y = lifeExp) to the variable ‘p’
4. find the structure of the p object.
5. add geom.point() to the p object. Show p.
6. replace geom.point() with geom.smooth(). Show p.
7. return to geom.point and add geom.smooth(). Show p.
8. add the linear element to the geom.smooth function. Show p.
9. change the x axis scare to log10. Show p.
10. try scale_y_log10(). Show p.
11. change the method to gam from lm. Show p.
12. replace scientific notation on the x axis with dollar signs
13. identify the continent of each point with color. Show p.
14. add labels to the plot. Show p.
15. change the method to loess. Show p.
16. use fill to change the appearace of lines, points, and the interior of the smoother’s standard error ribbon. S thehow p.
17. limit the figure size in R markdown to 8 x 5.
18. save one of your plots in it’s own file.
19. experiment with saving files in different formats and different locations.
20. map different attributes from gapminder to see what they look like. Show the result.

Submit a Word document with your screen shots of your work. Explain what each image is.

Submit screenshots of your successful installation.