In this exercise you will learn to plot data using the ggplot2 package. To this end, you will make your own note of 4.2 Quantitative vs. Quantitative from Data Visualization with R.

Q1 filter Select Apple and save it under plotdata.

Hint: See the code in 4.2.2 Line plot.

Q2 Line plot Plot the relationship between time (date) and Apple stock prices (close).

Hint: See the code in 4.2.2 Line plot.

Q3 In what month did the Apple stock peak this year?.

Hint: See the line plot you created in the previous question.

In April, it slowly was about to peak but the highest peak is in October.

Q4 Scatterplot Plot the relationship between closing price and volume for Apple.

Hint: See the code in 4.2.1 Scatterplot

Q5 Scatterplot Add the best fit line.

Hint: See the code in 4.2.1 Scatterplot

Q6 Describe the relationship between closing price and volume for Apple.

Hint: See the scatterplot you created in the previous question.

The closing price and volumes relationship is it is all very close together, and that the line is kind of straight, but there are not too many relationships for them.

Q7 Scatterplot Plot the relationship between closing price and volume for both Apple and Microsoft.

Hint: Use facet_wrap().

Q8 Hide the messages, the code and its results on the webpage.

Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.