Note: Please include both R codes and results in your solutions. (You may use the “Compile Report” function under Menu “File” in RStudio to generate a Word/PDF report of both R codes and results)

Question 1: Data Exploration and Visualization (20 points)

Read the dataset income.csv into R and answer the below questions.

A.  Visualize the distribution for variable income with a histogram, your output should be similar as the below.

Hints: (1) set binwidth as 800; (b) set the aesthetical attributes fill as “gold” and color as “black”; (3) change x andy axis labels, and then add a plot title. 

B.   Create a bar plot to visualize the average income for people with different education levels, your output

should look similar as the below.

Hints: (1) visualize education levels with different colors; (2) change x andy axis labels, as well as scale name (i.e.,fill), add a plot title.

Question 2 Describe Data (40 Points)

Read the file Assignment1_Q2.csv into R and answer following questions.

A.  How many observations in this data set? For each variable, what are the data types (numeric, integer, etc.)?

B.  Which variable(s) are discrete? Check the unique values for all discrete variables.  Which variable(s) are

continuous? Check the mean, standard deviation, and range for all continuous variables.

C.    Construct a frequency table as below.

Hints: you may inspect the dataset to find suitable variables first. Ignore the order of the columns and rows.

D.  Create a boxplot to show the distribution of X4 across each level of X2. The result should look like the below.

What summary statistics does a boxplot visualize? 

E.   Construct a subset named Q2E where variable X4 only contains positive values. Then create a variable X6

which is the sum of X3 and X4 in Q2E. Visualize the distribution of X6 as below

Hints: please fill the area under the density curve with color ‘gold’.