Data 1

HomeID Price SqFt Bedrooms Bathrooms Offers Brick Neighborhood
1 114300 1790 2 2 2 No East
2 114200 2030 4 2 3 No East
3 114800 1740 3 2 1 No East
4 94700 1980 3 2 3 No East
5 119800 2130 3 3 3 No East
6 114600 1780 3 2 2 No North

On average, west neighborhood is most expensive housing price on average.

The price of a house and the area of a house is positively corerated. So if the area of a house increase, the price of a house will also increase.

Data 2

Age Gender OwnHome Married Location Salary Children History Catalogs AmountSpent
Old Female Own Single Far 47500 0 High 6 755
Middle Male Rent Single Close 63600 0 High 6 1318
Young Female Rent Single Close 13500 0 Low 18 296
Middle Male Own Married Close 85600 1 High 18 2436
Middle Female Own Single Close 68400 0 High 12 1304
Young Male Own Married Close 30400 0 Low 6 495

The amount spent on the goods on the catalogs is positively correrated with annnual salary. People with higher salaries tend to spend more on goods on the catalogs

Married individuals have higher expense on thegoods.

Data 3

Male workers have high median of salaries compare to female workers. And there are more extreme values in male workers.

Data 4

Status Credit.Grade Amount Age Borrower.Rate Debt.To.Income.Ratio
Current C 5000 4 0.1500 0.040
Current HR 1900 6 0.2650 0.020
Current HR 1000 3 0.1500 0.020
Current HR 1000 5 0.2900 0.020
Current AA 2550 8 0.0795 0.033
Current NC 1500 2 0.2600 0.030

98% of all borrowers in concumers to consumers market is good borrowers, 1.4% is default, and 0.6% is classified as late.

Since its regression line is almost horizantal, there is no correlation between borrowers’ rate and amount of borrowing.

Data 5

It is hard to obtain strong relationship between stock price and account information.