Abigail Russell
Age Gender Housing Saving accounts Checking account Credit amount Duration
1 67 male own <NA> little 1169 6
2 22 female own little moderate 5951 48
3 49 male own little <NA> 2096 12
4 45 male free little little 7882 42
5 53 male free little little 4870 24
6 35 male free <NA> <NA> 9055 36
7 53 male own quite rich <NA> 2835 24
8 35 male rent little moderate 6948 36
9 61 male own rich <NA> 3059 12
10 28 male own little moderate 5234 30
Purpose Class Risk
1 radio/TV 1
2 radio/TV 2
3 education 1
4 furniture/equipment 1
5 car 2
6 education 1
7 furniture/equipment 1
8 car 1
9 radio/TV 1
10 car 2
Age Gender Housing Saving accounts Checking account Credit amount Duration
991 37 male own <NA> <NA> 3565 12
992 34 male own moderate <NA> 1569 15
993 23 male rent <NA> little 1936 18
994 30 male own little little 3959 36
995 50 male own <NA> <NA> 2390 12
996 31 female own little <NA> 1736 12
997 40 male own little little 3857 30
998 38 male own little <NA> 804 12
999 23 male free little little 1845 45
1000 27 male own moderate moderate 4576 45
Purpose Class Risk
991 education 1
992 radio/TV 1
993 radio/TV 1
994 furniture/equipment 1
995 car 1
996 furniture/equipment 1
997 car 1
998 radio/TV 1
999 radio/TV 2
1000 car 1
vars n mean sd median trimmed mad min max range skew
X1 1 1000 3271.26 2822.74 2319.5 2754.57 1627.15 250 18424 18174 1.94
kurtosis se
X1 4.25 89.26
vars n mean sd median trimmed mad min max range skew kurtosis se
X1 1 1000 20.9 12.06 18 19.47 8.9 4 72 68 1.09 0.9 0.38
1 2
700 300
1 is equal to customers that are considered good according to his/her failure to repay. 2 is equal to customers that are considered bad according to their failure to repay.
This graph shows the relationship between the credit amount borrowed, the duration in months of that amount and the class that they are associated with. When looking at the graph we see that the two classes are very similar to each other. There is a lot of overlap in the distribution between the amount borrowed and the duration. Due to this overlap the credit amount and the duration due have a positive relationship but it is not strong enough to predict the Class Risk.
The changes that were made included fixing labels to better describe the x and y axis. Fixing the legend label so that the title of the legend is correct, this also included changing the colors.Finally, fixing the main titles punctuation and grammar.