It MUST be the Rmarkdown file. The file you create will have a $".$rmd$"$ file

extension located in the project directory you should have created as part of

starting a new project.

$1.$ Create a new R markdown. Using comments, write your name, the date, and $$CSDA $5110$

Homework $2$ at the top of the script. Write your answers to the rest of these exercises in this

script and be sure to copy and paste the original questions using comments! Your script

should only contain valid R code and comments.

$2.$ Which $($if any$)$ of the following variable$$s names is$/$are invalid?

thisone $<-1$

THISONE $<-2$

$1$This $<-3$

this.one $<-4$

This$\mathrm{.}1<-5$

ThIS.....ON$...$E $<-6$

This!On$!$e $<-7$

lkjasdfkjsdf $<-8$

$3.2021$ was a good year for the price of Gold $$ your investment portfolio made $$100,800$ from investing in

gold. Create a variable called gold.in$\mathrm{.}2021$ and assign the value of your investment portfolio to it$.$

$4.$ During the last bank audit, we discovered that there was an error caused by a system calculation error

and $$5000$ per year wasn$$t added to your gold investment portfolio for the years $2018,2019,$ and $2020.$

Create a new variable called calcError and assign it the amount miscalculated by the system. Create

another variable called corrected.total and add the variables gold.in$\mathrm{.}2021$ and calcError to this new

variable. What is the new total amount?

$5.$ Create a variable called numberVector$1$ and numberVector$2.$ Using the c$(),$ assign a vector of numbers,

$1$ through $15$ to each vector. Use a different method of creating the vector for each variable. $($Hint: this

was covered in your reading of chapter $4)$Use the appropriate function to check the length of each of

the vector variables you created above

$6.$ Using the two vector variables created above, add them together and assign the total to a variable

called totalVectors.

$7.$ Use the appropriate function to sum the totalVectors variable to display the sum of the totalVectors

variable.

$8.$ Joanne thinks that she completes more tasks when she$$s had a cup of coffee than when she doesn$$t$.$

To test this, she recorded how many tasks she completed over $7$ days without drinking any coffee,

and then did the same over $7$ days while drinking coffee. Her results are stored in a comma delimited

CSV file called Joannes Tasks

a$.$ Import the comma delimited CSV file into R and assign the data to a variable called joanneTasks

b$.$ Verify the variable holding the data is a data.frame variable

c$.$ Using the appropriate function, write the code to verify that there are $7$ rows and $4$ columns in

the data frame.

$9.$ Use the appropriate function that will display summary descriptive statistics about each column

within the data frame.

a$.$ In your code, create comments about information you deduced from the summary descriptive

statistics.

$10.$ Using the appropriate syntax write the code that allows you to access the column that contains the

Number of Tasks Completed Without Coffee data.

a$.$ Use the appropriate function to display the mean value of that column.

b$.$ Use the appropriate function to display the total of the values in the column.

$11.$ Using the appropriate syntax write the code that allows you to access the column that contains the

Number of Tasks Completed With Coffee data.

a$.$ Use the appropriate function to display the mean value of that column.

b$.$ Use the appropriate function to display the total of the values in the column.

$12.$ Using the appropriate syntax write the code that allows you to access the column that contains the

Total Daily Tasks data.

a$.$ Use the appropriate function to display the mean value of that column.

b$.$ Use the appropriate function to display the total of the values in the column.

$13.$ Write a function that will display the question below and return the correct answer.

a$.$ Was Joanne able to complete more tasks when she drank coffee or days when she did not drink

coffee?

Use Florida House Sale Data for the remaining questions.

$14.$ Select two quantitative variables $($from Taxes, Price, Size, and Lot$)$

a$.$ Draw histogram for the two selected quantitative variables.

b$.$ Draw the density plot for the two selected quantitative variables.

$15.$ Select the categorical variable Quadrant.

a$.$ Draw Pareto chart.

$16.$ For both the quantitative variables used in question $14.$

a$.$ Determine the mean and median.

b$.$ Compute the standard deviation of both variables.

c$.$ Compute five number summary for both the variables.

d$.$ Draw boxplotsUse the appropriate function that will display summary descriptive statistics about each column

within the data frame.

a$.$ In your code, create comments about information you deduced from the summary descriptive

statistics. in R

Day of the WeekNumber of Tasks With CoffeeNumber of Tasks Without CoffeeTotal Tasks

Monday $81523$

Tuesday $5510$

Wednesday $8816$

Thursday $6814$

Friday $10818$

Saturday $358$

Sunday $5510$