Analyzing Credit Card User Dataset Using iNZight

Creating Plots with iNZight

 Load the credit card user dataset, CreditData.csv, into iNZight. For each of the following, use iNZight to create an appropriate plot and briefly comment on what the plot reveals. Hand in your plots with the comments. (a) First explore TransAmount alone.

(b) Explore the relationship between TransAmount and any one of the categorical variables.\

(c) Explore the relationship between TransAmount and any one other numeric variable.

(d) Explore the relationship between all three variables used in the above plots. (i.e. the two numeric and the one categorical variable that you have already used.)

Question 2.Load the credit card user dataset, CreditData.csv, into iNZight and produce relevant summary statistics to answer the questions below. Notes: - When you are using two categorical variables, the order you put variables into iNZight does affect the frequency table in the summary so consider this carefully. - Use the Worked Examples for guidance on rounding in your answers.

(a) What proportion of card holders had no dependants?

(b) What proportion of male card holders were married? 

(c) Which of the education level groups had the highest proportion of silver credit cards and what was that proportion?

(d) What proportion of card holders had both an income of at least $120K and a gold credit card?

Question 3. The Pew Internet and American Life Project conducted research on adult internet users (aged 18 and over). The study included questions about age and whether or not they used online chat rooms (chat). The findings included that 29% of the adult internet users were aged 18 to 29 and 24% were aged 50 and over. 7% of the adult internet users aged 50 and over chat, while 79% of the adult internet users aged 30 to 49 and 53% of the adult internet users aged 18 to 29 do not chat. Use this information to answer the fol