## Description

Part1) 50 points

The data set rivers contains the lengths (in miles) of “major” rivers in North America, as

compiled by the US Geological Survey. Use the data set to answer the following

questions using R:

a) How many data points are there in the data set?

b) Compute the mean, median, and mode.

c) Compute the variance and the standard deviation.

d) Compute the five number summary, the interquartile range, and outliers, if

any.

e) Compute the standardized version (z-scores) of the above data.

f) Create a matrix of size 2 x 30 using the first 60 data points in rivers. The first 30

values belong to the first row of the matrix. Assign the result to the variable,

rivers.60, and display the result.

g) Without hardcoding, displaying the first and last columns of the matrix.

h) Assign row names for the rivers.60 as Row_1 and Row_2 and column

names as Length_1, Length_2, ….Length_30. The code should not hard

code the values of the numbers in the row and column names.

Part 2) 50 points

The data file Johnson.csv contains quarterly earnings (dollars) per Johnson & Johnson

share 1960–80.

a) Read the data from johnson.csv into a data frame. In the data frame, the data in

“Year” column should be used as row names and “Qtr1”, ‘Qtr2”, “Qtr3”, and “Qtr4”

should be column names.

b) Show the summary for earnings for each quarter.

c) Add a new column, Yearly, showing the earnings for the whole year (the sum of

earnings for the 4 quarters). Display the new resulting data frame.

d) Which was the best performing year (in terms of highest earning) and worst performing

year?

e) Show all rows of the data frame whose “Yearly” is greater than 20.

Submission:

Create a folder, CS544_HW1_lastName and place the following files in this folder.

Write the solution in a Word document, HW1_lastName.doc.

For the code portions (Part1 and Part2), provide all R code in a single file,

HW1_lastName.r. For this homework only, you can earn an extra credit of 10 points by

providing the solutions in a Jupyter Notebook, HW1_lastName.ipynb, instead. (You can

include the R file and the Jupyter notebook if you wish).

Archive the folder (CS544_HW1_lastName.zip). Upload the zip file to the Assignments

section of Blackboard.