Overview

Dataset statistics

Number of variables65
Number of observations1000
Missing cells3611
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory569.5 KiB
Average record size in memory583.1 B

Variable types

Categorical21
Numeric44

Dataset

Description샘플 데이터
Author서울시
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=331

Alerts

세대주여부 has constant value ""Constant
1인가구여부 has constant value ""Constant
동일세대_세대원_수 has constant value ""Constant
연체여부 is highly imbalanced (96.2%)Imbalance
사업자여부 is highly imbalanced (57.4%)Imbalance
차량보유 is highly imbalanced (83.6%)Imbalance
연체건수 is highly imbalanced (97.4%)Imbalance
연체금액 is highly imbalanced (96.3%)Imbalance
연체일수 is highly imbalanced (97.8%)Imbalance
사업체건수 is highly imbalanced (75.8%)Imbalance
가구_대출연체건수 is highly imbalanced (85.3%)Imbalance
가구_카드연체건수 is highly imbalanced (96.2%)Imbalance
가구_대출연체금액 is highly imbalanced (91.1%)Imbalance
가구_카드연체금액 is highly imbalanced (96.2%)Imbalance
추정연소득 has 16 (1.6%) missing valuesMissing
추정연소득_백분위 has 16 (1.6%) missing valuesMissing
생애최초주택구입연월 has 734 (73.4%) missing valuesMissing
카드사_최근1년월평균_이용금액 has 569 (56.9%) missing valuesMissing
온라인 카드사용 금액 has 569 (56.9%) missing valuesMissing
오프라인 카드사용 금액 has 569 (56.9%) missing valuesMissing
온라인_카드사용금액_백분위수 has 569 (56.9%) missing valuesMissing
오프라인_카드사용금액_백분위수 has 569 (56.9%) missing valuesMissing
동일세대_학령기인구수 has 148 (14.8%) zerosZeros
동일세대_미취학아동수 has 642 (64.2%) zerosZeros
총자산평가금액 has 80 (8.0%) zerosZeros
순자산평가금액 has 83 (8.3%) zerosZeros
주택보유건수 has 736 (73.6%) zerosZeros
주택보유건수_가구기준 has 501 (50.1%) zerosZeros
총대출약정금액 has 743 (74.3%) zerosZeros
총대출건수 has 743 (74.3%) zerosZeros
총대출잔액 has 757 (75.7%) zerosZeros
은행업종대출잔액 has 813 (81.3%) zerosZeros
주택담보대출잔액 has 931 (93.1%) zerosZeros
신용대출잔액 has 852 (85.2%) zerosZeros
자동차대출잔액 has 972 (97.2%) zerosZeros
LTV has 970 (97.0%) zerosZeros
가구단위_LTV has 881 (88.1%) zerosZeros
주택담보대출분기상환금액 has 931 (93.1%) zerosZeros
카드소비금액 has 202 (20.2%) zerosZeros
신용카드소비금액 has 450 (45.0%) zerosZeros
체크카드소비금액 has 503 (50.3%) zerosZeros
일시불이용금액 has 200 (20.0%) zerosZeros
할부이용금액 has 734 (73.4%) zerosZeros
현금서비스이용금액 has 958 (95.8%) zerosZeros
해외카드이용금액 has 865 (86.5%) zerosZeros
온라인 카드사용 금액 has 225 (22.5%) zerosZeros
오프라인 카드사용 금액 has 201 (20.1%) zerosZeros
사업자카드이용액 has 973 (97.3%) zerosZeros
사업자대출잔액 has 947 (94.7%) zerosZeros
연매출추정금액 has 899 (89.9%) zerosZeros
가구_총대출약정금액 has 240 (24.0%) zerosZeros
가구_대출건수 has 240 (24.0%) zerosZeros
가구_총대출잔액 has 286 (28.6%) zerosZeros
가구_신용카드소비금액 has 32 (3.2%) zerosZeros
가구_체크카드소비금액 has 69 (6.9%) zerosZeros

Reproduction

Analysis started2024-03-13 13:09:30.501548
Analysis finished2024-03-13 13:09:31.576566
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
송파구
95 
강남구
88 
서초구
77 
강서구
74 
관악구
 
59
Other values (20)
607 

Length

Max length4
Median length3
Mean length3.07
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관악구
2nd row양천구
3rd row마포구
4th row강북구
5th row강남구

Common Values

ValueCountFrequency (%)
송파구 95
 
9.5%
강남구 88
 
8.8%
서초구 77
 
7.7%
강서구 74
 
7.4%
관악구 59
 
5.9%
은평구 57
 
5.7%
영등포구 53
 
5.3%
성동구 50
 
5.0%
성북구 46
 
4.6%
양천구 46
 
4.6%
Other values (15) 355
35.5%

Length

2024-03-13T22:09:31.659944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 95
 
9.5%
강남구 88
 
8.8%
서초구 77
 
7.7%
강서구 74
 
7.4%
관악구 59
 
5.9%
은평구 57
 
5.7%
영등포구 53
 
5.3%
성동구 50
 
5.0%
성북구 46
 
4.6%
양천구 46
 
4.6%
Other values (15) 355
35.5%

생년월일
Real number (ℝ)

Distinct77
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1974.01
Minimum1925
Maximum2010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:31.821741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1925
5-th percentile1943
Q11960
median1975
Q31985
95-th percentile2005
Maximum2010
Range85
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.921943
Coefficient of variation (CV)0.0095855357
Kurtosis-0.69332081
Mean1974.01
Median Absolute Deviation (MAD)12
Skewness-0.067564501
Sum1974010
Variance358.03994
MonotonicityNot monotonic
2024-03-13T22:09:32.011447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1977 43
 
4.3%
1981 33
 
3.3%
1973 33
 
3.3%
1970 31
 
3.1%
1972 29
 
2.9%
1980 27
 
2.7%
1982 27
 
2.7%
1979 27
 
2.7%
1971 26
 
2.6%
1969 26
 
2.6%
Other values (67) 698
69.8%
ValueCountFrequency (%)
1925 1
 
0.1%
1929 2
 
0.2%
1931 2
 
0.2%
1934 2
 
0.2%
1935 3
 
0.3%
1937 5
0.5%
1939 7
0.7%
1940 7
0.7%
1941 11
1.1%
1942 7
0.7%
ValueCountFrequency (%)
2010 3
 
0.3%
2009 14
1.4%
2008 6
 
0.6%
2007 2
 
0.2%
2006 19
1.9%
2005 18
1.8%
2004 11
1.1%
2003 11
1.1%
2002 21
2.1%
2001 17
1.7%

성별
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
여
538 
남
462 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row여
2nd row여
3rd row남
4th row여
5th row남

Common Values

ValueCountFrequency (%)
여 538
53.8%
남 462
46.2%

Length

2024-03-13T22:09:32.160322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:32.280226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 538
53.8%
남 462
46.2%

동일세대_학령기인구수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.488
Minimum0
Maximum7
Zeros148
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:32.418608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6842484
Coefficient of variation (CV)0.67694872
Kurtosis-0.43270397
Mean2.488
Median Absolute Deviation (MAD)1
Skewness0.32561401
Sum2488
Variance2.8366927
MonotonicityNot monotonic
2024-03-13T22:09:32.569055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 264
26.4%
2 187
18.7%
1 156
15.6%
0 148
14.8%
4 126
12.6%
5 60
 
6.0%
6 51
 
5.1%
7 8
 
0.8%
ValueCountFrequency (%)
0 148
14.8%
1 156
15.6%
2 187
18.7%
3 264
26.4%
4 126
12.6%
5 60
 
6.0%
6 51
 
5.1%
7 8
 
0.8%
ValueCountFrequency (%)
7 8
 
0.8%
6 51
 
5.1%
5 60
 
6.0%
4 126
12.6%
3 264
26.4%
2 187
18.7%
1 156
15.6%
0 148
14.8%

동일세대_미취학아동수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.674
Minimum0
Maximum5
Zeros642
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:32.735195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.151977
Coefficient of variation (CV)1.7091647
Kurtosis3.7532088
Mean0.674
Median Absolute Deviation (MAD)0
Skewness2.0137163
Sum674
Variance1.3270511
MonotonicityNot monotonic
2024-03-13T22:09:32.900157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 642
64.2%
1 195
 
19.5%
2 71
 
7.1%
3 54
 
5.4%
5 23
 
2.3%
4 15
 
1.5%
ValueCountFrequency (%)
0 642
64.2%
1 195
 
19.5%
2 71
 
7.1%
3 54
 
5.4%
4 15
 
1.5%
5 23
 
2.3%
ValueCountFrequency (%)
5 23
 
2.3%
4 15
 
1.5%
3 54
 
5.4%
2 71
 
7.1%
1 195
 
19.5%
0 642
64.2%

직업군
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean656.64
Minimum410
Maximum910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:33.059639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410
5-th percentile420
Q1420
median510
Q3910
95-th percentile910
Maximum910
Range500
Interquartile range (IQR)490

Descriptive statistics

Standard deviation233.03608
Coefficient of variation (CV)0.3548917
Kurtosis-1.9320531
Mean656.64
Median Absolute Deviation (MAD)90
Skewness0.13936839
Sum656640
Variance54305.816
MonotonicityNot monotonic
2024-03-13T22:09:33.182439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
910 454
45.4%
420 338
33.8%
510 143
 
14.3%
440 35
 
3.5%
410 16
 
1.6%
520 7
 
0.7%
430 7
 
0.7%
ValueCountFrequency (%)
410 16
 
1.6%
420 338
33.8%
430 7
 
0.7%
440 35
 
3.5%
510 143
 
14.3%
520 7
 
0.7%
910 454
45.4%
ValueCountFrequency (%)
910 454
45.4%
520 7
 
0.7%
510 143
 
14.3%
440 35
 
3.5%
430 7
 
0.7%
420 338
33.8%
410 16
 
1.6%

세대주여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
1000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1000
100.0%

Length

2024-03-13T22:09:33.332020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:33.452432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1000
100.0%

1인가구여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
1000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1000
100.0%

Length

2024-03-13T22:09:33.560308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:33.666038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1000
100.0%

주택보유여부
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
736 
1
264 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 736
73.6%
1 264
 
26.4%

Length

2024-03-13T22:09:33.769056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:33.885150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 736
73.6%
1 264
 
26.4%

대출여부
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
743 
1
257 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 743
74.3%
1 257
 
25.7%

Length

2024-03-13T22:09:34.009298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:34.133106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 743
74.3%
1 257
 
25.7%

연체여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
996 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 996
99.6%
1 4
 
0.4%

Length

2024-03-13T22:09:34.235788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:34.336586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 996
99.6%
1 4
 
0.4%

사업자여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
913 
1
 
87

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 913
91.3%
1 87
 
8.7%

Length

2024-03-13T22:09:34.443570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:34.546985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 913
91.3%
1 87
 
8.7%

동일세대_세대원_수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
10
1000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 1000
100.0%

Length

2024-03-13T22:09:34.664093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:34.778271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 1000
100.0%

추정연소득
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)12.6%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean39351.778
Minimum13000
Maximum298230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:34.925851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13000
5-th percentile16000
Q123000
median32000
Q344000
95-th percentile100550
Maximum298230
Range285230
Interquartile range (IQR)21000

Descriptive statistics

Standard deviation28608.543
Coefficient of variation (CV)0.72699493
Kurtosis19.053143
Mean39351.778
Median Absolute Deviation (MAD)9000
Skewness3.5603305
Sum38722150
Variance8.1844876 × 108
MonotonicityNot monotonic
2024-03-13T22:09:35.089392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27000 39
 
3.9%
31000 37
 
3.7%
23000 37
 
3.7%
30000 36
 
3.6%
32000 36
 
3.6%
15000 35
 
3.5%
21000 34
 
3.4%
20000 33
 
3.3%
16000 31
 
3.1%
35000 30
 
3.0%
Other values (114) 636
63.6%
ValueCountFrequency (%)
13000 4
 
0.4%
14000 10
 
1.0%
15000 35
3.5%
16000 31
3.1%
17000 16
1.6%
18000 13
 
1.3%
19000 9
 
0.9%
20000 33
3.3%
21000 34
3.4%
22000 28
2.8%
ValueCountFrequency (%)
298230 2
0.2%
189690 4
0.4%
168000 1
 
0.1%
166000 1
 
0.1%
153490 1
 
0.1%
151800 1
 
0.1%
147000 2
0.2%
143140 1
 
0.1%
142030 3
0.3%
140170 2
0.2%

추정연소득_백분위
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)5.3%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean46.685976
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:35.245518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q120
median44
Q374
95-th percentile95
Maximum100
Range99
Interquartile range (IQR)54

Descriptive statistics

Standard deviation29.581482
Coefficient of variation (CV)0.63362672
Kurtosis-1.117973
Mean46.685976
Median Absolute Deviation (MAD)25
Skewness0.20968044
Sum45939
Variance875.06406
MonotonicityNot monotonic
2024-03-13T22:09:35.392784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 42
 
4.2%
60 40
 
4.0%
44 39
 
3.9%
74 37
 
3.7%
51 36
 
3.6%
98 35
 
3.5%
82 34
 
3.4%
1 33
 
3.3%
85 33
 
3.3%
95 31
 
3.1%
Other values (42) 624
62.4%
ValueCountFrequency (%)
1 33
3.3%
2 19
1.9%
3 4
 
0.4%
4 7
 
0.7%
5 9
 
0.9%
6 11
 
1.1%
7 12
 
1.2%
8 9
 
0.9%
9 9
 
0.9%
10 7
 
0.7%
ValueCountFrequency (%)
100 14
 
1.4%
98 35
3.5%
95 31
3.1%
94 16
1.6%
92 13
 
1.3%
89 9
 
0.9%
85 33
3.3%
82 34
3.4%
78 28
2.8%
74 37
3.7%

총자산평가금액
Real number (ℝ)

ZEROS 

Distinct389
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620037.43
Minimum0
Maximum3242090
Zeros80
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:35.546908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201742.5
median458020
Q3811600
95-th percentile1808375
Maximum3242090
Range3242090
Interquartile range (IQR)609857.5

Descriptive statistics

Standard deviation613839.32
Coefficient of variation (CV)0.99000366
Kurtosis5.0179313
Mean620037.43
Median Absolute Deviation (MAD)288390
Skewness2.0284136
Sum6.2003743 × 108
Variance3.7679871 × 1011
MonotonicityNot monotonic
2024-03-13T22:09:35.719937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
8.0%
183890 18
 
1.8%
3242090 11
 
1.1%
600000 11
 
1.1%
96190 9
 
0.9%
151530 8
 
0.8%
669190 8
 
0.8%
289030 8
 
0.8%
91250 7
 
0.7%
980000 7
 
0.7%
Other values (379) 833
83.3%
ValueCountFrequency (%)
0 80
8.0%
30900 2
 
0.2%
34100 1
 
0.1%
34920 3
 
0.3%
43050 2
 
0.2%
73650 1
 
0.1%
87910 1
 
0.1%
88580 3
 
0.3%
88950 1
 
0.1%
90000 1
 
0.1%
ValueCountFrequency (%)
3242090 11
1.1%
3235410 1
 
0.1%
3138910 3
 
0.3%
3085540 1
 
0.1%
2906400 2
 
0.2%
2810720 1
 
0.1%
2760350 3
 
0.3%
2759580 1
 
0.1%
2725000 2
 
0.2%
2502100 1
 
0.1%

순자산평가금액
Real number (ℝ)

ZEROS 

Distinct383
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean609318.61
Minimum0
Maximum3172216
Zeros83
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:35.901552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196000
median441105
Q3799270
95-th percentile1744746
Maximum3172216
Range3172216
Interquartile range (IQR)603270

Descriptive statistics

Standard deviation607906.21
Coefficient of variation (CV)0.99768201
Kurtosis5.0816465
Mean609318.61
Median Absolute Deviation (MAD)279810
Skewness2.0441793
Sum6.0931861 × 108
Variance3.6954996 × 1011
MonotonicityNot monotonic
2024-03-13T22:09:36.088122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
 
8.3%
183890 18
 
1.8%
3172216 16
 
1.6%
104140 9
 
0.9%
600000 9
 
0.9%
669190 8
 
0.8%
340000 8
 
0.8%
151530 8
 
0.8%
474670 7
 
0.7%
249270 7
 
0.7%
Other values (373) 827
82.7%
ValueCountFrequency (%)
0 83
8.3%
30900 2
 
0.2%
34000 1
 
0.1%
34100 1
 
0.1%
43050 5
 
0.5%
73650 1
 
0.1%
87910 2
 
0.2%
88580 2
 
0.2%
90000 3
 
0.3%
91250 4
 
0.4%
ValueCountFrequency (%)
3172216 16
1.6%
2906400 1
 
0.1%
2810720 2
 
0.2%
2760350 1
 
0.1%
2759580 2
 
0.2%
2725000 3
 
0.3%
2620470 1
 
0.1%
2535230 1
 
0.1%
2470830 1
 
0.1%
2385610 2
 
0.2%

차량보유
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
961 
1
 
34
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 961
96.1%
1 34
 
3.4%
2 5
 
0.5%

Length

2024-03-13T22:09:36.276539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:36.395311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 961
96.1%
1 34
 
3.4%
2 5
 
0.5%

주택보유건수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.437
Minimum0
Maximum18
Zeros736
Zeros (%)73.6%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:36.507203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4960846
Coefficient of variation (CV)3.4235347
Kurtosis80.961586
Mean0.437
Median Absolute Deviation (MAD)0
Skewness8.3376568
Sum437
Variance2.2382693
MonotonicityNot monotonic
2024-03-13T22:09:37.015443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 736
73.6%
1 223
 
22.3%
2 24
 
2.4%
3 4
 
0.4%
13 3
 
0.3%
6 3
 
0.3%
18 2
 
0.2%
14 2
 
0.2%
8 2
 
0.2%
17 1
 
0.1%
ValueCountFrequency (%)
0 736
73.6%
1 223
 
22.3%
2 24
 
2.4%
3 4
 
0.4%
6 3
 
0.3%
8 2
 
0.2%
13 3
 
0.3%
14 2
 
0.2%
17 1
 
0.1%
18 2
 
0.2%
ValueCountFrequency (%)
18 2
 
0.2%
17 1
 
0.1%
14 2
 
0.2%
13 3
 
0.3%
8 2
 
0.2%
6 3
 
0.3%
3 4
 
0.4%
2 24
 
2.4%
1 223
 
22.3%
0 736
73.6%

자가거주여부
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
799 
1
123 
0
 
78

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 799
79.9%
1 123
 
12.3%
0 78
 
7.8%

Length

2024-03-13T22:09:37.182520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:37.330138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 799
79.9%
1 123
 
12.3%
0 78
 
7.8%

주택보유건수_가구기준
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.195
Minimum0
Maximum23
Zeros501
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:37.441574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.86831
Coefficient of variation (CV)2.4002594
Kurtosis40.725212
Mean1.195
Median Absolute Deviation (MAD)0
Skewness6.0034416
Sum1195
Variance8.2272022
MonotonicityNot monotonic
2024-03-13T22:09:37.624368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 501
50.1%
1 276
27.6%
2 104
 
10.4%
3 75
 
7.5%
4 15
 
1.5%
23 12
 
1.2%
5 9
 
0.9%
15 6
 
0.6%
9 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
0 501
50.1%
1 276
27.6%
2 104
 
10.4%
3 75
 
7.5%
4 15
 
1.5%
5 9
 
0.9%
6 1
 
0.1%
9 1
 
0.1%
15 6
 
0.6%
23 12
 
1.2%
ValueCountFrequency (%)
23 12
 
1.2%
15 6
 
0.6%
9 1
 
0.1%
6 1
 
0.1%
5 9
 
0.9%
4 15
 
1.5%
3 75
 
7.5%
2 104
 
10.4%
1 276
27.6%
0 501
50.1%

자가거주여부_가구기준
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
384 
1
323 
0
293 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row3
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
3 384
38.4%
1 323
32.3%
0 293
29.3%

Length

2024-03-13T22:09:37.751917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:37.865105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 384
38.4%
1 323
32.3%
0 293
29.3%

총대출약정금액
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35430.55
Minimum0
Maximum1319000
Zeros743
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:38.026745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33000
95-th percentile202000
Maximum1319000
Range1319000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation122899.9
Coefficient of variation (CV)3.468755
Kurtosis41.299407
Mean35430.55
Median Absolute Deviation (MAD)0
Skewness5.7424351
Sum35430550
Variance1.5104385 × 1010
MonotonicityNot monotonic
2024-03-13T22:09:38.213516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 743
74.3%
60000 11
 
1.1%
10000 8
 
0.8%
30000 8
 
0.8%
3000 7
 
0.7%
270000 6
 
0.6%
200000 6
 
0.6%
50000 6
 
0.6%
90000 5
 
0.5%
80000 5
 
0.5%
Other values (114) 195
 
19.5%
ValueCountFrequency (%)
0 743
74.3%
300 1
 
0.1%
1000 1
 
0.1%
2900 4
 
0.4%
3000 7
 
0.7%
3800 5
 
0.5%
4700 1
 
0.1%
5000 3
 
0.3%
5100 1
 
0.1%
5900 1
 
0.1%
ValueCountFrequency (%)
1319000 2
0.2%
1000000 3
0.3%
820000 1
 
0.1%
695000 3
0.3%
640000 1
 
0.1%
600000 1
 
0.1%
576700 1
 
0.1%
554913 3
0.3%
540000 1
 
0.1%
532000 2
0.2%

총대출건수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.596
Minimum0
Maximum13
Zeros743
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:38.371650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.05
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4222541
Coefficient of variation (CV)2.3863324
Kurtosis19.372844
Mean0.596
Median Absolute Deviation (MAD)0
Skewness3.7942519
Sum596
Variance2.0228068
MonotonicityNot monotonic
2024-03-13T22:09:38.523136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 743
74.3%
1 123
 
12.3%
2 60
 
6.0%
3 24
 
2.4%
4 17
 
1.7%
5 16
 
1.6%
6 7
 
0.7%
8 4
 
0.4%
13 2
 
0.2%
7 2
 
0.2%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
0 743
74.3%
1 123
 
12.3%
2 60
 
6.0%
3 24
 
2.4%
4 17
 
1.7%
5 16
 
1.6%
6 7
 
0.7%
7 2
 
0.2%
8 4
 
0.4%
9 1
 
0.1%
ValueCountFrequency (%)
13 2
 
0.2%
10 1
 
0.1%
9 1
 
0.1%
8 4
 
0.4%
7 2
 
0.2%
6 7
 
0.7%
5 16
 
1.6%
4 17
 
1.7%
3 24
 
2.4%
2 60
6.0%

총대출잔액
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24911.877
Minimum0
Maximum910430
Zeros757
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:38.685122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile145294.75
Maximum910430
Range910430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation90231.378
Coefficient of variation (CV)3.6220225
Kurtosis36.52023
Mean24911.877
Median Absolute Deviation (MAD)0
Skewness5.5420424
Sum24911877
Variance8.1417016 × 109
MonotonicityNot monotonic
2024-03-13T22:09:38.841251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 757
75.7%
27429 5
 
0.5%
409016 4
 
0.4%
20654 4
 
0.4%
7728 3
 
0.3%
40550 3
 
0.3%
967 3
 
0.3%
5971 3
 
0.3%
79796 3
 
0.3%
80000 3
 
0.3%
Other values (148) 212
 
21.2%
ValueCountFrequency (%)
0 757
75.7%
16 1
 
0.1%
46 1
 
0.1%
95 1
 
0.1%
227 1
 
0.1%
274 1
 
0.1%
400 2
 
0.2%
967 3
 
0.3%
1335 2
 
0.2%
1513 2
 
0.2%
ValueCountFrequency (%)
910430 2
0.2%
776977 1
0.1%
615000 1
0.1%
601121 1
0.1%
599520 2
0.2%
578899 1
0.1%
542812 2
0.2%
475556 2
0.2%
463970 1
0.1%
419701 2
0.2%

은행업종대출잔액
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21062.334
Minimum0
Maximum1319000
Zeros813
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:39.015925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile128022.8
Maximum1319000
Range1319000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91925.178
Coefficient of variation (CV)4.3644345
Kurtosis72.805494
Mean21062.334
Median Absolute Deviation (MAD)0
Skewness7.4912854
Sum21062334
Variance8.4502384 × 109
MonotonicityNot monotonic
2024-03-13T22:09:39.219857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
81.3%
2891 5
 
0.5%
40000 4
 
0.4%
9770 4
 
0.4%
80000 4
 
0.4%
35991 4
 
0.4%
238544 3
 
0.3%
23977 3
 
0.3%
910430 3
 
0.3%
90000 3
 
0.3%
Other values (102) 154
 
15.4%
ValueCountFrequency (%)
0 813
81.3%
12 1
 
0.1%
46 2
 
0.2%
71 1
 
0.1%
227 1
 
0.1%
274 2
 
0.2%
967 2
 
0.2%
1335 2
 
0.2%
2328 3
 
0.3%
2891 5
 
0.5%
ValueCountFrequency (%)
1319000 1
 
0.1%
910430 3
0.3%
615000 1
 
0.1%
578899 2
0.2%
477397 3
0.3%
437015 1
 
0.1%
419701 1
 
0.1%
393880 1
 
0.1%
388713 1
 
0.1%
377000 2
0.2%

주택담보대출잔액
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11624.155
Minimum0
Maximum910430
Zeros931
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:39.470762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile56760.5
Maximum910430
Range910430
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65147.146
Coefficient of variation (CV)5.6044629
Kurtosis114.80109
Mean11624.155
Median Absolute Deviation (MAD)0
Skewness9.5602834
Sum11624155
Variance4.2441506 × 109
MonotonicityNot monotonic
2024-03-13T22:09:39.704324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 931
93.1%
90000 5
 
0.5%
50000 4
 
0.4%
910430 3
 
0.3%
201312 3
 
0.3%
31810 3
 
0.3%
200000 3
 
0.3%
73547 2
 
0.2%
29167 2
 
0.2%
56590 2
 
0.2%
Other values (34) 42
 
4.2%
ValueCountFrequency (%)
0 931
93.1%
5523 2
 
0.2%
13037 1
 
0.1%
14203 1
 
0.1%
17000 1
 
0.1%
29167 2
 
0.2%
29269 1
 
0.1%
31810 3
 
0.3%
35475 1
 
0.1%
50000 4
 
0.4%
ValueCountFrequency (%)
910430 3
0.3%
502975 1
 
0.1%
410000 1
 
0.1%
346000 1
 
0.1%
300000 1
 
0.1%
280330 1
 
0.1%
280000 1
 
0.1%
276000 2
0.2%
260000 1
 
0.1%
252000 2
0.2%

신용대출잔액
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5283.925
Minimum0
Maximum220000
Zeros852
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:39.872883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35042.6
Maximum220000
Range220000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22314.355
Coefficient of variation (CV)4.2230642
Kurtosis48.865545
Mean5283.925
Median Absolute Deviation (MAD)0
Skewness6.4280508
Sum5283925
Variance4.9793042 × 108
MonotonicityNot monotonic
2024-03-13T22:09:40.053817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 852
85.2%
7127 5
 
0.5%
12 4
 
0.4%
35092 3
 
0.3%
11939 3
 
0.3%
105650 3
 
0.3%
47460 3
 
0.3%
80000 3
 
0.3%
40550 3
 
0.3%
400 3
 
0.3%
Other values (83) 118
 
11.8%
ValueCountFrequency (%)
0 852
85.2%
12 4
 
0.4%
400 3
 
0.3%
716 1
 
0.1%
967 2
 
0.2%
2012 1
 
0.1%
2193 3
 
0.3%
2328 1
 
0.1%
2357 2
 
0.2%
2383 1
 
0.1%
ValueCountFrequency (%)
220000 2
0.2%
215000 3
0.3%
165647 2
0.2%
129889 1
 
0.1%
122000 1
 
0.1%
107010 1
 
0.1%
105650 3
0.3%
95025 1
 
0.1%
92839 1
 
0.1%
86770 2
0.2%

자동차대출잔액
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean689.064
Minimum0
Maximum102194
Zeros972
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:40.239540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum102194
Range102194
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5875.8251
Coefficient of variation (CV)8.5272559
Kurtosis150.93865
Mean689.064
Median Absolute Deviation (MAD)0
Skewness11.435449
Sum689064
Variance34525320
MonotonicityNot monotonic
2024-03-13T22:09:40.404297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 972
97.2%
24040 3
 
0.3%
3344 3
 
0.3%
48418 2
 
0.2%
19266 2
 
0.2%
48596 2
 
0.2%
72518 2
 
0.2%
3148 1
 
0.1%
4045 1
 
0.1%
19906 1
 
0.1%
Other values (11) 11
 
1.1%
ValueCountFrequency (%)
0 972
97.2%
2012 1
 
0.1%
3013 1
 
0.1%
3148 1
 
0.1%
3344 3
 
0.3%
4045 1
 
0.1%
4189 1
 
0.1%
4535 1
 
0.1%
5193 1
 
0.1%
7154 1
 
0.1%
ValueCountFrequency (%)
102194 1
 
0.1%
72518 2
0.2%
48596 2
0.2%
48418 2
0.2%
24040 3
0.3%
22836 1
 
0.1%
22520 1
 
0.1%
21147 1
 
0.1%
19906 1
 
0.1%
19266 2
0.2%

LTV
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0047
Minimum0
Maximum0.59
Zeros970
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:40.554397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.59
Range0.59
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.038301135
Coefficient of variation (CV)8.1491778
Kurtosis153.52553
Mean0.0047
Median Absolute Deviation (MAD)0
Skewness11.539995
Sum4.7
Variance0.001466977
MonotonicityNot monotonic
2024-03-13T22:09:40.705944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 970
97.0%
0.07 3
 
0.3%
0.02 3
 
0.3%
0.03 2
 
0.2%
0.11 2
 
0.2%
0.12 2
 
0.2%
0.21 2
 
0.2%
0.16 2
 
0.2%
0.18 2
 
0.2%
0.59 2
 
0.2%
Other values (9) 10
 
1.0%
ValueCountFrequency (%)
0.0 970
97.0%
0.01 1
 
0.1%
0.02 3
 
0.3%
0.03 2
 
0.2%
0.04 1
 
0.1%
0.05 2
 
0.2%
0.06 1
 
0.1%
0.07 3
 
0.3%
0.1 1
 
0.1%
0.11 2
 
0.2%
ValueCountFrequency (%)
0.59 2
0.2%
0.53 1
0.1%
0.32 1
0.1%
0.27 1
0.1%
0.21 2
0.2%
0.2 1
0.1%
0.18 2
0.2%
0.16 2
0.2%
0.12 2
0.2%
0.11 2
0.2%

가구단위_LTV
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00583
Minimum0
Maximum0.3
Zeros881
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:40.820158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.04
Maximum0.3
Range0.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.024130756
Coefficient of variation (CV)4.1390662
Kurtosis73.765156
Mean0.00583
Median Absolute Deviation (MAD)0
Skewness7.4512322
Sum5.83
Variance0.00058229339
MonotonicityNot monotonic
2024-03-13T22:09:40.944017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 881
88.1%
0.01 30
 
3.0%
0.03 27
 
2.7%
0.04 16
 
1.6%
0.05 13
 
1.3%
0.11 8
 
0.8%
0.07 5
 
0.5%
0.02 5
 
0.5%
0.09 5
 
0.5%
0.3 3
 
0.3%
Other values (4) 7
 
0.7%
ValueCountFrequency (%)
0.0 881
88.1%
0.01 30
 
3.0%
0.02 5
 
0.5%
0.03 27
 
2.7%
0.04 16
 
1.6%
0.05 13
 
1.3%
0.06 3
 
0.3%
0.07 5
 
0.5%
0.09 5
 
0.5%
0.11 8
 
0.8%
ValueCountFrequency (%)
0.3 3
 
0.3%
0.2 1
 
0.1%
0.13 1
 
0.1%
0.12 2
 
0.2%
0.11 8
0.8%
0.09 5
 
0.5%
0.07 5
 
0.5%
0.06 3
 
0.3%
0.05 13
1.3%
0.04 16
1.6%

연체건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
996 
1
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 996
99.6%
1 2
 
0.2%
2 2
 
0.2%

Length

2024-03-13T22:09:41.083108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:41.191437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 996
99.6%
1 2
 
0.2%
2 2
 
0.2%

연체금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
994 
4439
 
3
10022
 
3

Length

Max length5
Median length1
Mean length1.021
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 994
99.4%
4439 3
 
0.3%
10022 3
 
0.3%

Length

2024-03-13T22:09:41.327764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:41.501803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 994
99.4%
4439 3
 
0.3%
10022 3
 
0.3%

연체일수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
996 
956
 
2
466
 
1
932
 
1

Length

Max length3
Median length1
Mean length1.008
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 996
99.6%
956 2
 
0.2%
466 1
 
0.1%
932 1
 
0.1%

Length

2024-03-13T22:09:41.674388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:41.885689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 996
99.6%
956 2
 
0.2%
466 1
 
0.1%
932 1
 
0.1%

주택담보대출분기상환금액
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.392
Minimum0
Maximum24017
Zeros931
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:42.047264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile941
Maximum24017
Range24017
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1286.8059
Coefficient of variation (CV)6.5857656
Kurtosis239.49394
Mean195.392
Median Absolute Deviation (MAD)0
Skewness13.896891
Sum195392
Variance1655869.5
MonotonicityNot monotonic
2024-03-13T22:09:42.217984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 931
93.1%
5809 3
 
0.3%
3312 3
 
0.3%
2906 3
 
0.3%
1934 3
 
0.3%
1612 3
 
0.3%
369 3
 
0.3%
868 3
 
0.3%
941 2
 
0.2%
6170 2
 
0.2%
Other values (32) 44
 
4.4%
ValueCountFrequency (%)
0 931
93.1%
369 3
 
0.3%
391 2
 
0.2%
448 2
 
0.2%
467 2
 
0.2%
476 1
 
0.1%
780 2
 
0.2%
858 1
 
0.1%
868 3
 
0.3%
896 1
 
0.1%
ValueCountFrequency (%)
24017 2
0.2%
9855 1
 
0.1%
6170 2
0.2%
5809 3
0.3%
4637 1
 
0.1%
4423 1
 
0.1%
3668 1
 
0.1%
3367 1
 
0.1%
3312 3
0.3%
3253 1
 
0.1%

카드소비금액
Real number (ℝ)

ZEROS 

Distinct633
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5269.77
Minimum0
Maximum81951
Zeros202
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:42.393308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1107
median1679
Q36250.5
95-th percentile22516.9
Maximum81951
Range81951
Interquartile range (IQR)6143.5

Descriptive statistics

Standard deviation9207.0979
Coefficient of variation (CV)1.7471536
Kurtosis20.45096
Mean5269.77
Median Absolute Deviation (MAD)1679
Skewness3.8196375
Sum5269770
Variance84770651
MonotonicityNot monotonic
2024-03-13T22:09:42.576169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 202
 
20.2%
51 6
 
0.6%
120 4
 
0.4%
1365 4
 
0.4%
26496 4
 
0.4%
1010 4
 
0.4%
1455 4
 
0.4%
1679 3
 
0.3%
16457 3
 
0.3%
12532 3
 
0.3%
Other values (623) 763
76.3%
ValueCountFrequency (%)
0 202
20.2%
1 1
 
0.1%
3 1
 
0.1%
5 3
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
11 1
 
0.1%
16 1
 
0.1%
ValueCountFrequency (%)
81951 2
0.2%
68926 1
0.1%
63215 1
0.1%
62694 1
0.1%
62643 2
0.2%
61569 1
0.1%
55491 1
0.1%
48105 1
0.1%
41575 1
0.1%
39683 1
0.1%

신용카드소비금액
Real number (ℝ)

ZEROS 

Distinct333
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4244.066
Minimum0
Maximum81951
Zeros450
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:42.748477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median253
Q35533.75
95-th percentile18478.3
Maximum81951
Range81951
Interquartile range (IQR)5533.75

Descriptive statistics

Standard deviation8580.7656
Coefficient of variation (CV)2.0218266
Kurtosis25.260784
Mean4244.066
Median Absolute Deviation (MAD)253
Skewness4.2175196
Sum4244066
Variance73629538
MonotonicityNot monotonic
2024-03-13T22:09:42.909622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 450
45.0%
227 5
 
0.5%
6162 5
 
0.5%
10759 5
 
0.5%
682 5
 
0.5%
26496 5
 
0.5%
869 5
 
0.5%
2255 4
 
0.4%
1623 4
 
0.4%
6122 4
 
0.4%
Other values (323) 508
50.8%
ValueCountFrequency (%)
0 450
45.0%
3 2
 
0.2%
5 1
 
0.1%
7 1
 
0.1%
11 2
 
0.2%
23 3
 
0.3%
24 1
 
0.1%
38 2
 
0.2%
43 1
 
0.1%
45 1
 
0.1%
ValueCountFrequency (%)
81951 2
0.2%
68508 1
 
0.1%
62643 3
0.3%
49218 1
 
0.1%
48288 1
 
0.1%
46642 1
 
0.1%
37927 3
0.3%
36591 2
0.2%
36249 1
 
0.1%
34937 1
 
0.1%

체크카드소비금액
Real number (ℝ)

ZEROS 

Distinct279
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1025.704
Minimum0
Maximum20321
Zeros503
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:43.059197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3828.5
95-th percentile4614.15
Maximum20321
Range20321
Interquartile range (IQR)828.5

Descriptive statistics

Standard deviation2730.0809
Coefficient of variation (CV)2.6616654
Kurtosis24.705137
Mean1025.704
Median Absolute Deviation (MAD)0
Skewness4.6552317
Sum1025704
Variance7453341.6
MonotonicityNot monotonic
2024-03-13T22:09:43.556035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 503
50.3%
51 7
 
0.7%
20321 7
 
0.7%
120 6
 
0.6%
433 5
 
0.5%
101 5
 
0.5%
951 5
 
0.5%
28 4
 
0.4%
1738 4
 
0.4%
74 4
 
0.4%
Other values (269) 450
45.0%
ValueCountFrequency (%)
0 503
50.3%
1 1
 
0.1%
2 2
 
0.2%
3 3
 
0.3%
5 4
 
0.4%
6 2
 
0.2%
7 3
 
0.3%
8 2
 
0.2%
10 3
 
0.3%
14 4
 
0.4%
ValueCountFrequency (%)
20321 7
0.7%
16213 4
0.4%
14927 4
0.4%
13354 1
 
0.1%
13238 2
 
0.2%
12707 3
0.3%
12245 1
 
0.1%
10178 2
 
0.2%
9388 2
 
0.2%
8769 3
0.3%

일시불이용금액
Real number (ℝ)

ZEROS 

Distinct479
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4043.92
Minimum0
Maximum73455
Zeros200
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:43.744817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.75
median1522.5
Q34874
95-th percentile15600
Maximum73455
Range73455
Interquartile range (IQR)4792.25

Descriptive statistics

Standard deviation7219.3715
Coefficient of variation (CV)1.7852409
Kurtosis26.650132
Mean4043.92
Median Absolute Deviation (MAD)1522.5
Skewness4.2802708
Sum4043920
Variance52119325
MonotonicityNot monotonic
2024-03-13T22:09:43.925199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 200
 
20.0%
966 6
 
0.6%
1822 6
 
0.6%
2757 5
 
0.5%
5865 5
 
0.5%
9225 5
 
0.5%
1739 5
 
0.5%
1629 5
 
0.5%
3 5
 
0.5%
2831 5
 
0.5%
Other values (469) 753
75.3%
ValueCountFrequency (%)
0 200
20.0%
1 2
 
0.2%
2 2
 
0.2%
3 5
 
0.5%
5 2
 
0.2%
6 2
 
0.2%
7 2
 
0.2%
12 2
 
0.2%
16 2
 
0.2%
21 3
 
0.3%
ValueCountFrequency (%)
73455 2
0.2%
57884 1
 
0.1%
48288 1
 
0.1%
46642 2
0.2%
39716 1
 
0.1%
38209 1
 
0.1%
36781 2
0.2%
35768 1
 
0.1%
34306 1
 
0.1%
32272 3
0.3%

할부이용금액
Real number (ℝ)

ZEROS 

Distinct167
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882.478
Minimum0
Maximum31978
Zeros734
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:44.171649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3151.5
95-th percentile5013
Maximum31978
Range31978
Interquartile range (IQR)151.5

Descriptive statistics

Standard deviation2965.7318
Coefficient of variation (CV)3.3606864
Kurtosis55.008543
Mean882.478
Median Absolute Deviation (MAD)0
Skewness6.609665
Sum882478
Variance8795565.3
MonotonicityNot monotonic
2024-03-13T22:09:44.359248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 734
73.4%
4666 5
 
0.5%
5873 4
 
0.4%
1949 4
 
0.4%
180 4
 
0.4%
1484 3
 
0.3%
8389 3
 
0.3%
629 3
 
0.3%
15442 3
 
0.3%
2000 3
 
0.3%
Other values (157) 234
 
23.4%
ValueCountFrequency (%)
0 734
73.4%
59 3
 
0.3%
68 1
 
0.1%
70 1
 
0.1%
73 2
 
0.2%
80 1
 
0.1%
86 1
 
0.1%
89 2
 
0.2%
98 2
 
0.2%
105 2
 
0.2%
ValueCountFrequency (%)
31978 2
0.2%
29909 1
 
0.1%
27443 3
0.3%
18759 1
 
0.1%
15442 3
0.3%
13832 1
 
0.1%
13815 2
0.2%
9643 2
0.2%
8515 2
0.2%
8389 3
0.3%

현금서비스이용금액
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.391
Minimum0
Maximum20350
Zeros958
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:44.522190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20350
Range20350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1157.5466
Coefficient of variation (CV)7.3081588
Kurtosis145.313
Mean158.391
Median Absolute Deviation (MAD)0
Skewness10.98794
Sum158391
Variance1339914.1
MonotonicityNot monotonic
2024-03-13T22:09:44.703272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 958
95.8%
4000 6
 
0.6%
4500 3
 
0.3%
2000 3
 
0.3%
2940 2
 
0.2%
46 2
 
0.2%
2170 2
 
0.2%
300 2
 
0.2%
1000 2
 
0.2%
270 1
 
0.1%
Other values (19) 19
 
1.9%
ValueCountFrequency (%)
0 958
95.8%
46 2
 
0.2%
200 1
 
0.1%
230 1
 
0.1%
270 1
 
0.1%
300 2
 
0.2%
500 1
 
0.1%
650 1
 
0.1%
900 1
 
0.1%
1000 2
 
0.2%
ValueCountFrequency (%)
20350 1
 
0.1%
13500 1
 
0.1%
12500 1
 
0.1%
11960 1
 
0.1%
11457 1
 
0.1%
7950 1
 
0.1%
6000 1
 
0.1%
4500 3
0.3%
4000 6
0.6%
3120 1
 
0.1%

해외카드이용금액
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.928
Minimum0
Maximum33663
Zeros865
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:44.879380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile457
Maximum33663
Range33663
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2322.5069
Coefficient of variation (CV)8.1226984
Kurtosis141.22501
Mean285.928
Median Absolute Deviation (MAD)0
Skewness11.430471
Sum285928
Variance5394038.3
MonotonicityNot monotonic
2024-03-13T22:09:45.061296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 865
86.5%
45 5
 
0.5%
635 4
 
0.4%
24 3
 
0.3%
403 3
 
0.3%
21942 3
 
0.3%
172 3
 
0.3%
87 3
 
0.3%
739 3
 
0.3%
3859 3
 
0.3%
Other values (73) 105
 
10.5%
ValueCountFrequency (%)
0 865
86.5%
1 2
 
0.2%
3 1
 
0.1%
4 2
 
0.2%
5 1
 
0.1%
10 1
 
0.1%
12 2
 
0.2%
14 1
 
0.1%
20 1
 
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
33663 2
0.2%
31047 1
 
0.1%
21942 3
0.3%
18246 1
 
0.1%
10358 1
 
0.1%
9425 1
 
0.1%
9110 1
 
0.1%
6136 1
 
0.1%
4376 2
0.2%
4139 1
 
0.1%

생애최초주택구입연월
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)45.1%
Missing734
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean201016.98
Minimum198310
Maximum202208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:45.247410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198310
5-th percentile199651.25
Q1200532.5
median201210.5
Q3201511.75
95-th percentile202010.75
Maximum202208
Range3898
Interquartile range (IQR)979.25

Descriptive statistics

Standard deviation737.70527
Coefficient of variation (CV)0.0036698654
Kurtosis1.0673928
Mean201016.98
Median Absolute Deviation (MAD)402
Skewness-1.0165908
Sum53470517
Variance544209.07
MonotonicityNot monotonic
2024-03-13T22:09:45.429100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200508 8
 
0.8%
201612 7
 
0.7%
201303 7
 
0.7%
201401 5
 
0.5%
201505 5
 
0.5%
201601 5
 
0.5%
201802 5
 
0.5%
200911 4
 
0.4%
201503 4
 
0.4%
201501 4
 
0.4%
Other values (110) 212
 
21.2%
(Missing) 734
73.4%
ValueCountFrequency (%)
198310 1
 
0.1%
198603 3
0.3%
198903 2
0.2%
199107 1
 
0.1%
199403 2
0.2%
199408 1
 
0.1%
199504 3
0.3%
199601 1
 
0.1%
199802 2
0.2%
199812 2
0.2%
ValueCountFrequency (%)
202208 2
0.2%
202112 1
 
0.1%
202111 3
0.3%
202110 1
 
0.1%
202105 3
0.3%
202102 3
0.3%
202012 1
 
0.1%
202007 1
 
0.1%
202003 1
 
0.1%
201901 1
 
0.1%

카드사_최근1년월평균_이용금액
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.6%
Missing569
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1.4593968
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:45.570314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum11
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4265257
Coefficient of variation (CV)0.97747624
Kurtosis25.280174
Mean1.4593968
Median Absolute Deviation (MAD)0
Skewness4.7520054
Sum629
Variance2.0349754
MonotonicityNot monotonic
2024-03-13T22:09:45.683002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 346
34.6%
2 52
 
5.2%
3 14
 
1.4%
7 8
 
0.8%
4 5
 
0.5%
11 5
 
0.5%
6 1
 
0.1%
(Missing) 569
56.9%
ValueCountFrequency (%)
1 346
34.6%
2 52
 
5.2%
3 14
 
1.4%
4 5
 
0.5%
6 1
 
0.1%
7 8
 
0.8%
11 5
 
0.5%
ValueCountFrequency (%)
11 5
 
0.5%
7 8
 
0.8%
6 1
 
0.1%
4 5
 
0.5%
3 14
 
1.4%
2 52
 
5.2%
1 346
34.6%

온라인 카드사용 금액
Real number (ℝ)

MISSING  ZEROS 

Distinct134
Distinct (%)31.1%
Missing569
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1051471
Minimum0
Maximum33970000
Zeros225
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:45.822565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3628000
95-th percentile5789500
Maximum33970000
Range33970000
Interquartile range (IQR)628000

Descriptive statistics

Standard deviation3277515.3
Coefficient of variation (CV)3.1170763
Kurtosis47.137946
Mean1051471
Median Absolute Deviation (MAD)0
Skewness6.2351993
Sum4.53184 × 108
Variance1.0742107 × 1013
MonotonicityNot monotonic
2024-03-13T22:09:46.022846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 225
 
22.5%
4000 6
 
0.6%
87000 5
 
0.5%
1331000 4
 
0.4%
303000 4
 
0.4%
55000 3
 
0.3%
777000 3
 
0.3%
403000 3
 
0.3%
4317000 3
 
0.3%
11000 3
 
0.3%
Other values (124) 172
 
17.2%
(Missing) 569
56.9%
ValueCountFrequency (%)
0 225
22.5%
1000 2
 
0.2%
4000 6
 
0.6%
7000 2
 
0.2%
8000 1
 
0.1%
10000 1
 
0.1%
11000 3
 
0.3%
15000 1
 
0.1%
16000 1
 
0.1%
20000 2
 
0.2%
ValueCountFrequency (%)
33970000 1
 
0.1%
27527000 1
 
0.1%
24233000 2
0.2%
19769000 1
 
0.1%
15639000 1
 
0.1%
13290000 1
 
0.1%
9246000 1
 
0.1%
7451000 2
0.2%
6820000 3
0.3%
6568000 2
0.2%

오프라인 카드사용 금액
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)30.9%
Missing569
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1443986.1
Minimum0
Maximum48817000
Zeros201
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:46.244774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60000
Q31263500
95-th percentile7120500
Maximum48817000
Range48817000
Interquartile range (IQR)1263500

Descriptive statistics

Standard deviation4104841.5
Coefficient of variation (CV)2.8427154
Kurtosis82.983617
Mean1443986.1
Median Absolute Deviation (MAD)60000
Skewness7.8931928
Sum6.22358 × 108
Variance1.6849724 × 1013
MonotonicityNot monotonic
2024-03-13T22:09:46.438986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 201
 
20.1%
541000 6
 
0.6%
73000 5
 
0.5%
487000 5
 
0.5%
81000 5
 
0.5%
264000 4
 
0.4%
630000 4
 
0.4%
160000 4
 
0.4%
2739000 4
 
0.4%
49000 4
 
0.4%
Other values (123) 189
 
18.9%
(Missing) 569
56.9%
ValueCountFrequency (%)
0 201
20.1%
3000 2
 
0.2%
8000 1
 
0.1%
20000 2
 
0.2%
37000 2
 
0.2%
45000 2
 
0.2%
49000 4
 
0.4%
58000 1
 
0.1%
60000 1
 
0.1%
62000 2
 
0.2%
ValueCountFrequency (%)
48817000 2
0.2%
21349000 1
 
0.1%
12298000 2
0.2%
12135000 3
0.3%
10671000 4
0.4%
9424000 2
0.2%
8934000 1
 
0.1%
8861000 1
 
0.1%
7382000 2
0.2%
7261000 4
0.4%

온라인_카드사용금액_백분위수
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)18.1%
Missing569
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean74.867749
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:46.604289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q150
median100
Q3100
95-th percentile100
Maximum100
Range99
Interquartile range (IQR)50

Descriptive statistics

Standard deviation34.287887
Coefficient of variation (CV)0.4579794
Kurtosis-0.51200557
Mean74.867749
Median Absolute Deviation (MAD)0
Skewness-1.0169999
Sum32268
Variance1175.6592
MonotonicityNot monotonic
2024-03-13T22:09:46.762042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 227
 
22.7%
3 12
 
1.2%
29 10
 
1.0%
37 8
 
0.8%
1 7
 
0.7%
66 6
 
0.6%
83 6
 
0.6%
99 6
 
0.6%
73 6
 
0.6%
6 6
 
0.6%
Other values (68) 137
 
13.7%
(Missing) 569
56.9%
ValueCountFrequency (%)
1 7
0.7%
2 3
 
0.3%
3 12
1.2%
4 1
 
0.1%
5 4
 
0.4%
6 6
0.6%
7 2
 
0.2%
8 2
 
0.2%
9 3
 
0.3%
11 4
 
0.4%
ValueCountFrequency (%)
100 227
22.7%
99 6
 
0.6%
98 3
 
0.3%
97 1
 
0.1%
96 3
 
0.3%
95 2
 
0.2%
94 2
 
0.2%
93 1
 
0.1%
91 1
 
0.1%
90 5
 
0.5%

오프라인_카드사용금액_백분위수
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)16.9%
Missing569
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean71.510441
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:46.923746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q141.5
median91
Q3100
95-th percentile100
Maximum100
Range99
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation35.243132
Coefficient of variation (CV)0.49283898
Kurtosis-0.90072857
Mean71.510441
Median Absolute Deviation (MAD)9
Skewness-0.82850908
Sum30821
Variance1242.0784
MonotonicityNot monotonic
2024-03-13T22:09:47.081336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 203
 
20.3%
89 10
 
1.0%
2 9
 
0.9%
63 9
 
0.9%
10 9
 
0.9%
4 7
 
0.7%
93 6
 
0.6%
76 6
 
0.6%
28 6
 
0.6%
20 6
 
0.6%
Other values (63) 160
 
16.0%
(Missing) 569
56.9%
ValueCountFrequency (%)
1 3
 
0.3%
2 9
0.9%
3 4
0.4%
4 7
0.7%
5 4
0.4%
7 2
 
0.2%
8 4
0.4%
9 6
0.6%
10 9
0.9%
11 5
0.5%
ValueCountFrequency (%)
100 203
20.3%
98 1
 
0.1%
96 2
 
0.2%
94 2
 
0.2%
93 6
 
0.6%
92 1
 
0.1%
91 3
 
0.3%
90 5
 
0.5%
89 10
 
1.0%
87 3
 
0.3%

사업체건수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
913 
1
 
74
2
 
12
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 913
91.3%
1 74
 
7.4%
2 12
 
1.2%
3 1
 
0.1%

Length

2024-03-13T22:09:47.237666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:47.364698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 913
91.3%
1 74
 
7.4%
2 12
 
1.2%
3 1
 
0.1%

사업자카드이용액
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean887.702
Minimum0
Maximum224172
Zeros973
Zeros (%)97.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:47.491852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum224172
Range224172
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10806.099
Coefficient of variation (CV)12.173116
Kurtosis368.35884
Mean887.702
Median Absolute Deviation (MAD)0
Skewness18.395159
Sum887702
Variance1.1677178 × 108
MonotonicityNot monotonic
2024-03-13T22:09:47.628380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 973
97.3%
2941 3
 
0.3%
25919 2
 
0.2%
18625 2
 
0.2%
23334 2
 
0.2%
3028 2
 
0.2%
4039 2
 
0.2%
7471 2
 
0.2%
26858 2
 
0.2%
224172 2
 
0.2%
Other values (8) 8
 
0.8%
ValueCountFrequency (%)
0 973
97.3%
482 1
 
0.1%
1881 1
 
0.1%
2135 1
 
0.1%
2941 3
 
0.3%
3028 2
 
0.2%
4039 2
 
0.2%
5725 1
 
0.1%
7471 2
 
0.2%
18625 2
 
0.2%
ValueCountFrequency (%)
224172 2
0.2%
81664 1
0.1%
52022 1
0.1%
48965 1
0.1%
26858 2
0.2%
25919 2
0.2%
23334 2
0.2%
19113 1
0.1%
18625 2
0.2%
7471 2
0.2%

사업자대출잔액
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27927.024
Minimum0
Maximum7650000
Zeros947
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:47.755058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8421
Maximum7650000
Range7650000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation335495.98
Coefficient of variation (CV)12.013309
Kurtosis336.73188
Mean27927.024
Median Absolute Deviation (MAD)0
Skewness17.368652
Sum27927024
Variance1.1255755 × 1011
MonotonicityNot monotonic
2024-03-13T22:09:47.884018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 947
94.7%
10340 4
 
0.4%
242104 4
 
0.4%
52500 4
 
0.4%
255950 3
 
0.3%
45000 3
 
0.3%
50000 2
 
0.2%
200000 2
 
0.2%
14000 2
 
0.2%
370000 2
 
0.2%
Other values (24) 27
 
2.7%
ValueCountFrequency (%)
0 947
94.7%
6248 1
 
0.1%
6319 1
 
0.1%
8320 1
 
0.1%
10340 4
 
0.4%
14000 2
 
0.2%
14150 1
 
0.1%
15792 1
 
0.1%
27500 1
 
0.1%
30416 2
 
0.2%
ValueCountFrequency (%)
7650000 1
 
0.1%
5000000 1
 
0.1%
3441646 2
0.2%
2025620 1
 
0.1%
750000 1
 
0.1%
400000 1
 
0.1%
379000 1
 
0.1%
370000 2
0.2%
330000 1
 
0.1%
255950 3
0.3%

연매출추정금액
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245377
Minimum0
Maximum50000000
Zeros899
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:48.035281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile265000
Maximum50000000
Range50000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2583689.2
Coefficient of variation (CV)10.529468
Kurtosis253.64185
Mean245377
Median Absolute Deviation (MAD)0
Skewness15.336866
Sum2.45377 × 108
Variance6.6754501 × 1012
MonotonicityNot monotonic
2024-03-13T22:09:48.223630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 899
89.9%
53000 4
 
0.4%
160000 4
 
0.4%
1057000 4
 
0.4%
225000 3
 
0.3%
334000 3
 
0.3%
34000 3
 
0.3%
31000 3
 
0.3%
453000 3
 
0.3%
246000 3
 
0.3%
Other values (55) 71
 
7.1%
ValueCountFrequency (%)
0 899
89.9%
21000 1
 
0.1%
22000 1
 
0.1%
25000 1
 
0.1%
28000 1
 
0.1%
31000 3
 
0.3%
34000 3
 
0.3%
37000 3
 
0.3%
53000 4
 
0.4%
57000 1
 
0.1%
ValueCountFrequency (%)
50000000 1
0.1%
39904000 2
0.2%
19303000 2
0.2%
9816000 2
0.2%
3968000 2
0.2%
3235000 1
0.1%
2893000 2
0.2%
2834000 1
0.1%
2401000 2
0.2%
1970000 2
0.2%

가구_추정연소득
Real number (ℝ)

Distinct164
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224935.45
Minimum0
Maximum637230
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:48.743114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile90000
Q1154480
median214000
Q3265220
95-th percentile429690
Maximum637230
Range637230
Interquartile range (IQR)110740

Descriptive statistics

Standard deviation100221.79
Coefficient of variation (CV)0.44555802
Kurtosis2.2536368
Mean224935.45
Median Absolute Deviation (MAD)57200
Skewness1.2018113
Sum2.2493545 × 108
Variance1.0044408 × 1010
MonotonicityNot monotonic
2024-03-13T22:09:48.886051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216000 22
 
2.2%
172000 18
 
1.8%
238000 18
 
1.8%
173000 16
 
1.6%
221000 16
 
1.6%
142000 15
 
1.5%
299000 14
 
1.4%
456000 14
 
1.4%
152000 13
 
1.3%
406350 13
 
1.3%
Other values (154) 841
84.1%
ValueCountFrequency (%)
0 3
0.3%
30000 1
 
0.1%
39000 1
 
0.1%
49000 2
 
0.2%
54000 1
 
0.1%
64000 2
 
0.2%
66000 2
 
0.2%
72000 5
0.5%
77390 6
0.6%
78000 7
0.7%
ValueCountFrequency (%)
637230 9
0.9%
534230 7
0.7%
514230 2
 
0.2%
458230 6
0.6%
456000 14
1.4%
439780 8
0.8%
429690 10
1.0%
418000 3
 
0.3%
416220 5
 
0.5%
406350 13
1.3%

가구_총자산평가금액
Real number (ℝ)

Distinct193
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3704917.9
Minimum0
Maximum13800360
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:49.027419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile701200
Q11613020
median2880840
Q34446020
95-th percentile11755850
Maximum13800360
Range13800360
Interquartile range (IQR)2833000

Descriptive statistics

Standard deviation3053900.6
Coefficient of variation (CV)0.82428293
Kurtosis2.3007317
Mean3704917.9
Median Absolute Deviation (MAD)1322430
Skewness1.6522721
Sum3.7049179 × 109
Variance9.3263087 × 1012
MonotonicityNot monotonic
2024-03-13T22:09:49.204422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2879760 16
 
1.6%
1558410 16
 
1.6%
1627920 14
 
1.4%
3810920 14
 
1.4%
3771340 14
 
1.4%
13800360 13
 
1.3%
11877790 13
 
1.3%
6062000 13
 
1.3%
3905060 13
 
1.3%
5235250 12
 
1.2%
Other values (183) 862
86.2%
ValueCountFrequency (%)
0 2
 
0.2%
215920 4
0.4%
232270 2
 
0.2%
278250 1
 
0.1%
347610 3
0.3%
415290 7
0.7%
452440 2
 
0.2%
463480 4
0.4%
490000 2
 
0.2%
540390 4
0.4%
ValueCountFrequency (%)
13800360 13
1.3%
13185080 10
1.0%
13015730 4
 
0.4%
12362690 7
0.7%
11877790 13
1.3%
11755850 5
 
0.5%
11186540 5
 
0.5%
10905460 6
0.6%
9880320 1
 
0.1%
9818190 11
1.1%

가구_순자산평가금액
Real number (ℝ)

Distinct192
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3662945.6
Minimum0
Maximum13730486
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:49.422225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile696570
Q11558410
median2879760
Q34415449.5
95-th percentile11750250
Maximum13730486
Range13730486
Interquartile range (IQR)2857039.5

Descriptive statistics

Standard deviation3039516.3
Coefficient of variation (CV)0.8298011
Kurtosis2.4047107
Mean3662945.6
Median Absolute Deviation (MAD)1358030
Skewness1.6729252
Sum3.6629456 × 109
Variance9.2386594 × 1012
MonotonicityNot monotonic
2024-03-13T22:09:49.613326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1558410 20
 
2.0%
1627920 16
 
1.6%
12182130 16
 
1.6%
13730486 15
 
1.5%
2942600 14
 
1.4%
3262130 14
 
1.4%
3653210 14
 
1.4%
978570 13
 
1.3%
6062000 13
 
1.3%
3781660 13
 
1.3%
Other values (182) 852
85.2%
ValueCountFrequency (%)
0 5
0.5%
215920 1
 
0.1%
232270 2
 
0.2%
278250 2
 
0.2%
352570 5
0.5%
355000 2
 
0.2%
398280 4
0.4%
415290 4
0.4%
463480 3
0.3%
490000 2
 
0.2%
ValueCountFrequency (%)
13730486 15
1.5%
13045332 6
 
0.6%
13015730 6
 
0.6%
12182130 16
1.6%
11755850 3
 
0.3%
11750250 6
 
0.6%
11116666 4
 
0.4%
10624590 7
0.7%
9820320 12
1.2%
9818190 5
 
0.5%

가구_차량보유수
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
740 
1
212 
2
 
48

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 740
74.0%
1 212
 
21.2%
2 48
 
4.8%

Length

2024-03-13T22:09:49.769179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:49.866520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 740
74.0%
1 212
 
21.2%
2 48
 
4.8%

가구_총대출약정금액
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211062.68
Minimum0
Maximum1719000
Zeros240
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:50.048996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15000
median68900
Q3310000
95-th percentile799000
Maximum1719000
Range1719000
Interquartile range (IQR)305000

Descriptive statistics

Standard deviation309250.14
Coefficient of variation (CV)1.4652052
Kurtosis7.2145444
Mean211062.68
Median Absolute Deviation (MAD)68900
Skewness2.4124846
Sum2.1106268 × 108
Variance9.563565 × 1010
MonotonicityNot monotonic
2024-03-13T22:09:50.412937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 240
 
24.0%
20000 23
 
2.3%
50000 19
 
1.9%
5000 18
 
1.8%
60000 17
 
1.7%
70000 17
 
1.7%
310000 16
 
1.6%
520540 16
 
1.6%
171400 15
 
1.5%
240000 15
 
1.5%
Other values (103) 604
60.4%
ValueCountFrequency (%)
0 240
24.0%
5000 18
 
1.8%
5700 4
 
0.4%
8900 3
 
0.3%
10000 15
 
1.5%
14900 10
 
1.0%
17700 6
 
0.6%
18500 5
 
0.5%
18980 3
 
0.3%
20000 23
 
2.3%
ValueCountFrequency (%)
1719000 5
0.5%
1697000 9
0.9%
1391000 6
0.6%
992812 12
1.2%
817000 10
1.0%
812000 4
 
0.4%
799000 5
0.5%
757500 1
 
0.1%
756633 2
 
0.2%
731380 8
0.8%

가구_대출건수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.675
Minimum0
Maximum30
Zeros240
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:50.676517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile12
Maximum30
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6886414
Coefficient of variation (CV)1.2758208
Kurtosis10.319121
Mean3.675
Median Absolute Deviation (MAD)2
Skewness2.7518997
Sum3675
Variance21.983358
MonotonicityNot monotonic
2024-03-13T22:09:50.982234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 240
24.0%
2 144
14.4%
3 141
14.1%
1 128
12.8%
4 90
 
9.0%
6 51
 
5.1%
5 49
 
4.9%
8 27
 
2.7%
10 24
 
2.4%
9 20
 
2.0%
Other values (9) 86
 
8.6%
ValueCountFrequency (%)
0 240
24.0%
1 128
12.8%
2 144
14.4%
3 141
14.1%
4 90
 
9.0%
5 49
 
4.9%
6 51
 
5.1%
7 13
 
1.3%
8 27
 
2.7%
9 20
 
2.0%
ValueCountFrequency (%)
30 10
1.0%
23 4
 
0.4%
18 16
1.6%
15 3
 
0.3%
14 5
 
0.5%
13 2
 
0.2%
12 14
1.4%
11 19
1.9%
10 24
2.4%
9 20
2.0%

가구_총대출잔액
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162743.19
Minimum0
Maximum1520312
Zeros286
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:51.234592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40000
Q3212582
95-th percentile701714
Maximum1520312
Range1520312
Interquartile range (IQR)212582

Descriptive statistics

Standard deviation257240.29
Coefficient of variation (CV)1.5806516
Kurtosis9.1935476
Mean162743.19
Median Absolute Deviation (MAD)40000
Skewness2.6590352
Sum1.6274319 × 108
Variance6.6172565 × 1010
MonotonicityNot monotonic
2024-03-13T22:09:51.501123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 286
28.6%
511137 22
 
2.2%
19193 15
 
1.5%
194167 15
 
1.5%
121229 12
 
1.2%
41207 12
 
1.2%
126078 12
 
1.2%
289870 12
 
1.2%
709479 11
 
1.1%
1505554 11
 
1.1%
Other values (116) 592
59.2%
ValueCountFrequency (%)
0 286
28.6%
12 1
 
0.1%
46 4
 
0.4%
95 4
 
0.4%
3013 4
 
0.4%
4713 5
 
0.5%
4716 4
 
0.4%
5000 2
 
0.2%
5121 2
 
0.2%
5523 1
 
0.1%
ValueCountFrequency (%)
1520312 3
 
0.3%
1505554 11
1.1%
959354 1
 
0.1%
893617 5
0.5%
741000 7
0.7%
710486 8
0.8%
709479 11
1.1%
701714 5
0.5%
680854 5
0.5%
659550 9
0.9%

가구_대출연체건수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
979 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 979
97.9%
1 21
 
2.1%

Length

2024-03-13T22:09:51.671096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:51.770278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 979
97.9%
1 21
 
2.1%

가구_카드연체건수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
996 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 996
99.6%
1 4
 
0.4%

Length

2024-03-13T22:09:51.888045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:51.983804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 996
99.6%
1 4
 
0.4%

가구_대출연체금액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
979 
4439
 
10
680
 
7
7023
 
4

Length

Max length4
Median length1
Mean length1.056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 979
97.9%
4439 10
 
1.0%
680 7
 
0.7%
7023 4
 
0.4%

Length

2024-03-13T22:09:52.125628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:52.242338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 979
97.9%
4439 10
 
1.0%
680 7
 
0.7%
7023 4
 
0.4%

가구_카드연체금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
996 
2999
 
4

Length

Max length4
Median length1
Mean length1.012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 996
99.6%
2999 4
 
0.4%

Length

2024-03-13T22:09:52.378734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:09:52.492571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 996
99.6%
2999 4
 
0.4%

가구_신용카드소비금액
Real number (ℝ)

ZEROS 

Distinct180
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26580.663
Minimum0
Maximum204071
Zeros32
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:52.683706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1185
Q110790
median20609
Q332468
95-th percentile69961
Maximum204071
Range204071
Interquartile range (IQR)21678

Descriptive statistics

Standard deviation26761.777
Coefficient of variation (CV)1.0068138
Kurtosis15.622855
Mean26580.663
Median Absolute Deviation (MAD)11262
Skewness3.1965696
Sum26580663
Variance7.1619271 × 108
MonotonicityNot monotonic
2024-03-13T22:09:52.992581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
3.2%
21980 18
 
1.8%
16860 18
 
1.8%
69961 15
 
1.5%
32468 15
 
1.5%
38584 14
 
1.4%
6826 14
 
1.4%
10229 13
 
1.3%
14257 13
 
1.3%
31871 12
 
1.2%
Other values (170) 836
83.6%
ValueCountFrequency (%)
0 32
3.2%
91 1
 
0.1%
227 6
 
0.6%
340 1
 
0.1%
416 2
 
0.2%
542 2
 
0.2%
559 2
 
0.2%
1185 6
 
0.6%
1365 5
 
0.5%
2087 2
 
0.2%
ValueCountFrequency (%)
204071 5
 
0.5%
189336 5
 
0.5%
111875 3
 
0.3%
111172 7
0.7%
97362 9
0.9%
72962 12
1.2%
69961 15
1.5%
66787 5
 
0.5%
66394 11
1.1%
63729 6
 
0.6%

가구_체크카드소비금액
Real number (ℝ)

ZEROS 

Distinct163
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5814.295
Minimum0
Maximum59878
Zeros69
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-03-13T22:09:53.218088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1967.5
median3169
Q37664.5
95-th percentile20321
Maximum59878
Range59878
Interquartile range (IQR)6697

Descriptive statistics

Standard deviation7637.2268
Coefficient of variation (CV)1.3135258
Kurtosis17.389926
Mean5814.295
Median Absolute Deviation (MAD)2688
Skewness3.3078878
Sum5814295
Variance58327233
MonotonicityNot monotonic
2024-03-13T22:09:53.383462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
6.9%
20930 21
 
2.1%
12505 16
 
1.6%
6544 14
 
1.4%
11833 14
 
1.4%
2417 13
 
1.3%
3760 13
 
1.3%
1369 13
 
1.3%
25 13
 
1.3%
1816 12
 
1.2%
Other values (153) 802
80.2%
ValueCountFrequency (%)
0 69
6.9%
4 8
 
0.8%
6 1
 
0.1%
7 1
 
0.1%
25 13
 
1.3%
38 5
 
0.5%
62 1
 
0.1%
74 4
 
0.4%
77 6
 
0.6%
119 5
 
0.5%
ValueCountFrequency (%)
59878 7
 
0.7%
39626 4
 
0.4%
22436 7
 
0.7%
20930 21
2.1%
20822 8
 
0.8%
20321 9
0.9%
19623 4
 
0.4%
18417 11
1.1%
17781 3
 
0.3%
17613 12
1.2%

Sample

자치구명생년월일성별동일세대_학령기인구수동일세대_미취학아동수직업군세대주여부1인가구여부주택보유여부대출여부연체여부사업자여부동일세대_세대원_수추정연소득추정연소득_백분위총자산평가금액순자산평가금액차량보유주택보유건수자가거주여부주택보유건수_가구기준자가거주여부_가구기준총대출약정금액총대출건수총대출잔액은행업종대출잔액주택담보대출잔액신용대출잔액자동차대출잔액LTV가구단위_LTV연체건수연체금액연체일수주택담보대출분기상환금액카드소비금액신용카드소비금액체크카드소비금액일시불이용금액할부이용금액현금서비스이용금액해외카드이용금액생애최초주택구입연월카드사_최근1년월평균_이용금액온라인 카드사용 금액오프라인 카드사용 금액온라인_카드사용금액_백분위수오프라인_카드사용금액_백분위수사업체건수사업자카드이용액사업자대출잔액연매출추정금액가구_추정연소득가구_총자산평가금액가구_순자산평가금액가구_차량보유수가구_총대출약정금액가구_대출건수가구_총대출잔액가구_대출연체건수가구_카드연체건수가구_대출연체금액가구_카드연체금액가구_신용카드소비금액가구_체크카드소비금액
0관악구2002여409100000001016000951269001260000030000000000.00.0000021280212821750024<NA><NA><NA><NA><NA><NA>0000211870175929017083300600003289130000326204881
1양천구1976여209100000001026000646270206217100032300000000.00.000000000000<NA><NA><NA><NA><NA><NA>00001470002815030282116002370024716000093176596
2마포구1997남30910000000102000085127191012187500031300000000.00.000000000000<NA><NA><NA><NA><NA><NA>0000304000329665032621301200003143340000166333760
3강북구1977여419100000001035000361300001041400030000000000.00.0000042211524269728925900<NA>138200006110000001040001185100113510000000000141688679
4강남구2002남319100000001016000951838901898000030000000000.00.000000000000<NA>100100100000014200015584101558410000000002969304
5금천구2002남609100000001016000954724804746700030000000000.00.000001508015081471000<NA><NA><NA><NA><NA><NA>00003130703561490339516010000000183317774
6중랑구1999남009100001001020000851600001578200030030001000000.00.000002758027582711000<NA>100100100000077390710580818160180000103527000001316511493
7중구1941여109100000001017000942956802765100030300000000.00.000001270701270726086000<NA><NA><NA><NA><NA><NA>00001710001054720997680100000001885839626
8은평구1972여209100000001029000541301101041400030000000000.00.000003490349378000<NA><NA><NA><NA><NA><NA>000025300016279201627920033190021941670000169591255
9강남구1967남104200000001050000151838901838900030000000000.00.0000074957495074516550457200508341220004765000780000637230981819098181900139100068936170000637291255
자치구명생년월일성별동일세대_학령기인구수동일세대_미취학아동수직업군세대주여부1인가구여부주택보유여부대출여부연체여부사업자여부동일세대_세대원_수추정연소득추정연소득_백분위총자산평가금액순자산평가금액차량보유주택보유건수자가거주여부주택보유건수_가구기준자가거주여부_가구기준총대출약정금액총대출건수총대출잔액은행업종대출잔액주택담보대출잔액신용대출잔액자동차대출잔액LTV가구단위_LTV연체건수연체금액연체일수주택담보대출분기상환금액카드소비금액신용카드소비금액체크카드소비금액일시불이용금액할부이용금액현금서비스이용금액해외카드이용금액생애최초주택구입연월카드사_최근1년월평균_이용금액온라인 카드사용 금액오프라인 카드사용 금액온라인_카드사용금액_백분위수오프라인_카드사용금액_백분위수사업체건수사업자카드이용액사업자대출잔액연매출추정금액가구_추정연소득가구_총자산평가금액가구_순자산평가금액가구_차량보유수가구_총대출약정금액가구_대출건수가구_총대출잔액가구_대출연체건수가구_카드연체건수가구_대출연체금액가구_카드연체금액가구_신용카드소비금액가구_체크카드소비금액
990구로구1952여404400000001044000204067704087200030000000000.00.000003299032993582000<NA><NA><NA><NA><NA><NA>0002650002210002178150217815001300001119624000036801556
991서초구1970남23440000000105753010174336017015900030000000000.00.000007282721666720303006136201011<NA><NA><NA><NA><NA>0005000000031707056755905113166161000054708370000365231034
992서초구1977여404100011001052000131429680148152001323300001519355230440000.00.00000185791857902300800020140133976000119500074300004560001318508013015730036930010289870000066787846
993관악구1961여335100000011042000237464106973800030300000000.00.0400001838018381964000<NA><NA><NA><NA><NA><NA>11862503340001399602109240210924000000000101303744
994관악구2002여409100000001016000953710003711400030000000000.00.000001938019381964000<NA><NA><NA><NA><NA><NA>000023400098250097857023900002328987000001551911452
995서초구1947여50910001000105400012123982012398200112100000000.00.000008508566000200502<NA><NA><NA><NA><NA>000019500051777705177770032410063061420000113815401
996관악구1967남20420001100105600011230000232270113307280028000080000010701000.00.000004784478404630000201507<NA><NA><NA><NA><NA>0000990001077570974490214000051245200000416998
997강남구1981여32440000100105300013117893012000000035313190003910430910430502975000.180.0300061701319013190013962000<NA>484600060670004250003610002290002896490294260003902651600000000189550
998중랑구1999남009100000001022000781479101411400030000000000.00.000002385023852405000<NA><NA><NA><NA><NA><NA>0000773904524405073801000000001642
999은평구1972남205200010011029823017000006950000113100000000.00.0000061569466421492730361154420019940311641200055400036310015500053423023368202281130000000004413817613