Funches
Math 533
Introduction
The department store AJ Davis wants to study the customers that use credit with them. They collected a sample group of 50 people and broke them down to 5 different variables. The 5 different variables are broken down by location, income, household size, years in current location, and credit balance. I plan on creating different graphs and tables to make things easier to study to see the difference in groups.
1st individual variable

The pie chart above clearly shows that most/max of the customers to buy from AJ Davis live in the urban location. Even though the rural location is the min of the three, rural and suburban is very close to each other that they both make-up for the rest of the sales. 2nd individual variable The histogram above shows how many people fall into the different income ranges. It seems that the middle class has the lowest amount of people in that category where the lower and upper class mirror each other in the chart above.

3rd individual variable The dotplot above shows how many families fall into the category of how many people are in the household size. It looks as if the families with two people is the largest group out of everyone by a long shot, and households with one, five, six leaving there are equal. 1st pairing of variables The boxplot above shows the connection between the three different locations and the credit balance with AJ Davis. The Rural location seems to be the group that doesn’t hold the highest credit balance which could tie into the fact rural has the lowest income level. Rural max is very close to urban and suburban min. 2nd pairing variable The boxplot above shows the connection between locations and the years in that location. There is an open range of time spent in locations for rural and urban where for suburban they are more likely to