Overview

Dataset statistics

Number of variables21
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory172.0 KiB
Average record size in memory176.1 B

Variable types

Text2
Categorical14
Numeric5

Dataset

Description한국주택금융공사 신탁자산부 업무 관련 공개하는 채권관리 수수료 지급 관련 공공데이터 (해당 부서의 업무와 관련된 데이터베이스에서 공개 가능한 원천 데이터)
URLhttps://www.data.go.kr/data/15073317/fileData.do

Alerts

수수료확인상태코드 has constant value ""Constant
수수료확인요청일시 has constant value ""Constant
수수료확인조치일시 has constant value ""Constant
수수료확인완료일시 has constant value ""Constant
청구일자 is highly imbalanced (61.2%)Imbalance
계산시작일자 is highly imbalanced (58.5%)Imbalance
계산종료일자 is highly imbalanced (75.1%)Imbalance
등록사번 is highly imbalanced (80.4%)Imbalance
납입예정일자 is highly imbalanced (73.2%)Imbalance
수수료차감액 is highly skewed (γ1 = 31.44370805)Skewed
수수료율 has 52 (5.2%) zerosZeros
수수료차감액 has 967 (96.7%) zerosZeros

Reproduction

Analysis started2023-12-12 17:29:04.657022
Analysis finished2023-12-12 17:29:04.973814
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct89
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T02:29:05.127714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14000
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowKHFCMB2020S-29
2nd rowKHFCMB2020S-29
3rd rowKHFCMB2020S-29
4th rowKHFCMB2020S-29
5th rowKHFCMB2020S-29
ValueCountFrequency (%)
khfcmb2020s-29 55
 
5.5%
khfcmb2020s-31 52
 
5.2%
khfcmb2020s-03 43
 
4.3%
khfcmb2020s-06 40
 
4.0%
khfcsl2005s-01 30
 
3.0%
khfcmb2020s-08 26
 
2.6%
khfcmb2019s-25 26
 
2.6%
khfcmb2020s-15 25
 
2.5%
khfcmb2020s-09 23
 
2.3%
khfcmb2020s-12 22
 
2.2%
Other values (79) 658
65.8%
2023-12-13T02:29:05.589354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2343
16.7%
2 2155
15.4%
K 1000
7.1%
F 1000
7.1%
C 1000
7.1%
- 1000
7.1%
H 1000
7.1%
B 876
 
6.3%
M 867
 
6.2%
S 867
 
6.2%
Other values (10) 1892
13.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7040
50.3%
Decimal Number 5960
42.6%
Dash Punctuation 1000
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2343
39.3%
2 2155
36.2%
1 522
 
8.8%
9 232
 
3.9%
3 172
 
2.9%
6 130
 
2.2%
5 123
 
2.1%
8 106
 
1.8%
4 97
 
1.6%
7 80
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
K 1000
14.2%
F 1000
14.2%
C 1000
14.2%
H 1000
14.2%
B 876
12.4%
M 867
12.3%
S 867
12.3%
L 390
 
5.5%
A 40
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7040
50.3%
Common 6960
49.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2343
33.7%
2 2155
31.0%
- 1000
14.4%
1 522
 
7.5%
9 232
 
3.3%
3 172
 
2.5%
6 130
 
1.9%
5 123
 
1.8%
8 106
 
1.5%
4 97
 
1.4%
Latin
ValueCountFrequency (%)
K 1000
14.2%
F 1000
14.2%
C 1000
14.2%
H 1000
14.2%
B 876
12.4%
M 867
12.3%
S 867
12.3%
L 390
 
5.5%
A 40
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2343
16.7%
2 2155
15.4%
K 1000
7.1%
F 1000
7.1%
C 1000
7.1%
- 1000
7.1%
H 1000
7.1%
B 876
 
6.3%
M 867
 
6.2%
S 867
 
6.2%
Other values (10) 1892
13.5%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
B081
104 
B020
102 
B003
100 
B010
97 
B088
93 
Other values (12)
504 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowB088
2nd rowB088
3rd rowB088
4th rowB088
5th rowB088

Common Values

ValueCountFrequency (%)
B081 104
10.4%
B020 102
10.2%
B003 100
10.0%
B010 97
9.7%
B088 93
9.3%
B004 92
9.2%
B039 84
8.4%
B023 82
8.2%
B032 55
 
5.5%
B007 41
 
4.1%
Other values (7) 150
15.0%

Length

2023-12-13T02:29:05.730185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
b081 104
10.4%
b020 102
10.2%
b003 100
10.0%
b010 97
9.7%
b088 93
9.3%
b004 92
9.2%
b039 84
8.4%
b023 82
8.2%
b032 55
 
5.5%
b007 41
 
4.1%
Other values (7) 150
15.0%
Distinct345
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T02:29:06.050272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.947
Min length13

Characters and Unicode

Total characters13947
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)12.1%

Sample

1st row0000-0000-0000
2nd row0000-0000-0000
3rd row0000-0000-0000
4th row0000-0000-0000
5th row0000-0000-0000
ValueCountFrequency (%)
0000-0000-0000 411
41.1%
b003-2020-0069 4
 
0.4%
b003-2020-0068 4
 
0.4%
b039-2020-0045 4
 
0.4%
b027-2020-0006 4
 
0.4%
b023-2020-0033 4
 
0.4%
b023-2015-0010 4
 
0.4%
b004-2015-0016 4
 
0.4%
b10-2020-0072 4
 
0.4%
b020-2015-0012 3
 
0.3%
Other values (335) 554
55.4%
2023-12-13T02:29:06.581088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7909
56.7%
- 2000
 
14.3%
2 1172
 
8.4%
1 658
 
4.7%
B 572
 
4.1%
5 391
 
2.8%
3 381
 
2.7%
4 217
 
1.6%
8 205
 
1.5%
9 188
 
1.3%
Other values (3) 254
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11358
81.4%
Dash Punctuation 2000
 
14.3%
Uppercase Letter 589
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7909
69.6%
2 1172
 
10.3%
1 658
 
5.8%
5 391
 
3.4%
3 381
 
3.4%
4 217
 
1.9%
8 205
 
1.8%
9 188
 
1.7%
7 149
 
1.3%
6 88
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 572
97.1%
I 17
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13358
95.8%
Latin 589
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7909
59.2%
- 2000
 
15.0%
2 1172
 
8.8%
1 658
 
4.9%
5 391
 
2.9%
3 381
 
2.9%
4 217
 
1.6%
8 205
 
1.5%
9 188
 
1.4%
7 149
 
1.1%
Latin
ValueCountFrequency (%)
B 572
97.1%
I 17
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7909
56.7%
- 2000
 
14.3%
2 1172
 
8.4%
1 658
 
4.7%
B 572
 
4.1%
5 391
 
2.8%
3 381
 
2.7%
4 217
 
1.6%
8 205
 
1.5%
9 188
 
1.3%
Other values (3) 254
 
1.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
C
589 
M
217 
S
133 
T
 
41
A
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowT
3rd rowA
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
C 589
58.9%
M 217
 
21.7%
S 133
 
13.3%
T 41
 
4.1%
A 20
 
2.0%

Length

2023-12-13T02:29:06.742754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:06.862037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 589
58.9%
m 217
 
21.7%
s 133
 
13.3%
t 41
 
4.1%
a 20
 
2.0%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
유동화적격대출기본채권관리수수료(고정)
311 
기본채권관리수수료(t플러스)
155 
유동화적격대출기본채권관리수수료(변동)
147 
유동화안심전환대출기본채권관리수수료(고정)
119 
(구)기본채권관리수수료
116 
Other values (22)
152 

Length

Max length22
Median length20
Mean length17.812
Min length9

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row업무위탁수수료(내집마련디딤돌)
2nd row업무위탁수수료(u-보금자리론)
3rd row인지세(내집마련디딤돌)
4th row취급수수료(내집마련디딤돌)
5th row일회성채권관리수수료(내집마련디딤돌)

Common Values

ValueCountFrequency (%)
유동화적격대출기본채권관리수수료(고정) 311
31.1%
기본채권관리수수료(t플러스) 155
15.5%
유동화적격대출기본채권관리수수료(변동) 147
14.7%
유동화안심전환대출기본채권관리수수료(고정) 119
 
11.9%
(구)기본채권관리수수료 116
 
11.6%
기본채권관리수수료(e-모기지제외) 33
 
3.3%
(구)설정비관련추가채권관리수수료 20
 
2.0%
인센티브채권관리수수료 16
 
1.6%
모집인비용(u-보금자리론) 10
 
1.0%
저당설정비(u-보금자리론) 7
 
0.7%
Other values (17) 66
 
6.6%

Length

2023-12-13T02:29:07.022978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유동화적격대출기본채권관리수수료(고정 311
31.1%
기본채권관리수수료(t플러스 155
15.5%
유동화적격대출기본채권관리수수료(변동 147
14.7%
유동화안심전환대출기본채권관리수수료(고정 119
 
11.9%
구)기본채권관리수수료 116
 
11.6%
기본채권관리수수료(e-모기지제외 33
 
3.3%
구)설정비관련추가채권관리수수료 20
 
2.0%
인센티브채권관리수수료 16
 
1.6%
모집인비용(u-보금자리론 10
 
1.0%
저당설정비(u-보금자리론 7
 
0.7%
Other values (17) 66
 
6.6%

수수료율
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.172293
Minimum0
Maximum0.9014
Zeros52
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:29:07.158123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.1
Q30.15
95-th percentile0.5
Maximum0.9014
Range0.9014
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.15350132
Coefficient of variation (CV)0.89093187
Kurtosis1.3871521
Mean0.172293
Median Absolute Deviation (MAD)0
Skewness1.6075706
Sum172.293
Variance0.023562657
MonotonicityNot monotonic
2023-12-13T02:29:07.309806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 601
60.1%
0.15 114
 
11.4%
0.5 90
 
9.0%
0.4 52
 
5.2%
0.0 52
 
5.2%
0.25 16
 
1.6%
0.6 13
 
1.3%
0.03 10
 
1.0%
0.05 8
 
0.8%
0.4874 1
 
0.1%
Other values (43) 43
 
4.3%
ValueCountFrequency (%)
0.0 52
 
5.2%
0.03 10
 
1.0%
0.04 1
 
0.1%
0.05 8
 
0.8%
0.06 1
 
0.1%
0.1 601
60.1%
0.1001 1
 
0.1%
0.1007 1
 
0.1%
0.1219 1
 
0.1%
0.1358 1
 
0.1%
ValueCountFrequency (%)
0.9014 1
 
0.1%
0.7351 1
 
0.1%
0.6249 1
 
0.1%
0.6107 1
 
0.1%
0.6 13
1.3%
0.5893 1
 
0.1%
0.5873 1
 
0.1%
0.5734 1
 
0.1%
0.5688 1
 
0.1%
0.5594 1
 
0.1%

청구일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-10-07
924 
2020-10-20
 
76

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-20
2nd row2020-10-20
3rd row2020-10-20
4th row2020-10-20
5th row2020-10-20

Common Values

ValueCountFrequency (%)
2020-10-07 924
92.4%
2020-10-20 76
 
7.6%

Length

2023-12-13T02:29:07.476243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:07.596850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-07 924
92.4%
2020-10-20 76
 
7.6%

계산시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-09-01
834 
2020-09-04
 
60
2020-09-22
 
52
2020-09-15
 
33
2020-09-18
 
21

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-04
2nd row2020-09-04
3rd row2020-09-04
4th row2020-09-04
5th row2020-09-04

Common Values

ValueCountFrequency (%)
2020-09-01 834
83.4%
2020-09-04 60
 
6.0%
2020-09-22 52
 
5.2%
2020-09-15 33
 
3.3%
2020-09-18 21
 
2.1%

Length

2023-12-13T02:29:07.715704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:07.842793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-01 834
83.4%
2020-09-04 60
 
6.0%
2020-09-22 52
 
5.2%
2020-09-15 33
 
3.3%
2020-09-18 21
 
2.1%

계산종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-09-30
920 
2020-09-04
 
47
2020-09-22
 
29
2020-09-21
 
4

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-04
2nd row2020-09-04
3rd row2020-09-04
4th row2020-09-04
5th row2020-09-04

Common Values

ValueCountFrequency (%)
2020-09-30 920
92.0%
2020-09-04 47
 
4.7%
2020-09-22 29
 
2.9%
2020-09-21 4
 
0.4%

Length

2023-12-13T02:29:07.959799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:08.060488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-30 920
92.0%
2020-09-04 47
 
4.7%
2020-09-22 29
 
2.9%
2020-09-21 4
 
0.4%

계산일수
Real number (ℝ)

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.419
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:29:08.178632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q130
median30
Q330
95-th percentile30
Maximum30
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.6190328
Coefficient of variation (CV)0.32624372
Kurtosis3.3878162
Mean26.419
Median Absolute Deviation (MAD)0
Skewness-2.224988
Sum26419
Variance74.287727
MonotonicityNot monotonic
2023-12-13T02:29:08.308367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
30 830
83.0%
1 76
 
7.6%
16 33
 
3.3%
9 23
 
2.3%
13 21
 
2.1%
27 13
 
1.3%
21 4
 
0.4%
ValueCountFrequency (%)
1 76
 
7.6%
9 23
 
2.3%
13 21
 
2.1%
16 33
 
3.3%
21 4
 
0.4%
27 13
 
1.3%
30 830
83.0%
ValueCountFrequency (%)
30 830
83.0%
27 13
 
1.3%
21 4
 
0.4%
16 33
 
3.3%
13 21
 
2.1%
9 23
 
2.3%
1 76
 
7.6%

대출평잔금액
Real number (ℝ)

Distinct787
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3485287 × 1010
Minimum224251
Maximum5.96 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:29:08.466775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum224251
5-th percentile23307917
Q14.49192 × 108
median4.5209203 × 109
Q32.1895041 × 1010
95-th percentile1.23 × 1011
Maximum5.96 × 1011
Range5.9599978 × 1011
Interquartile range (IQR)2.1445849 × 1010

Descriptive statistics

Standard deviation4.9373377 × 1010
Coefficient of variation (CV)2.102311
Kurtosis26.758281
Mean2.3485287 × 1010
Median Absolute Deviation (MAD)4.4324652 × 109
Skewness4.1962216
Sum2.3485287 × 1013
Variance2.4377303 × 1021
MonotonicityNot monotonic
2023-12-13T02:29:08.634676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186241122 5
 
0.5%
27653022853 5
 
0.5%
7718289434 5
 
0.5%
349400000 5
 
0.5%
139000000000 5
 
0.5%
258000000000 5
 
0.5%
20800176919 5
 
0.5%
47829691589 5
 
0.5%
111000000000 5
 
0.5%
202000000000 4
 
0.4%
Other values (777) 951
95.1%
ValueCountFrequency (%)
224251 2
0.2%
331800 1
0.1%
477369 2
0.2%
495863 1
0.1%
621462 1
0.1%
630201 1
0.1%
808738 1
0.1%
1236587 1
0.1%
1501795 1
0.1%
1735750 1
0.1%
ValueCountFrequency (%)
596000000000 1
 
0.1%
337000000000 2
 
0.2%
300000000000 1
 
0.1%
258000000000 5
0.5%
248000000000 2
 
0.2%
221000000000 1
 
0.1%
208000000000 1
 
0.1%
207000000000 1
 
0.1%
205000000000 2
 
0.2%
202000000000 4
0.4%

수수료청구금액
Real number (ℝ)

Distinct992
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11763874
Minimum0
Maximum1.0931537 × 109
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T02:29:08.812951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2325.85
Q153072
median417456
Q32036143.2
95-th percentile22746240
Maximum1.0931537 × 109
Range1.0931537 × 109
Interquartile range (IQR)1983071.2

Descriptive statistics

Standard deviation72709484
Coefficient of variation (CV)6.1807432
Kurtosis113.32088
Mean11763874
Median Absolute Deviation (MAD)407178.5
Skewness10.004809
Sum1.1763874 × 1010
Variance5.2866691 × 1015
MonotonicityNot monotonic
2023-12-13T02:29:09.015833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.6%
14766 2
 
0.2%
14565 2
 
0.2%
2347646 2
 
0.2%
543893 1
 
0.1%
437763 1
 
0.1%
566577 1
 
0.1%
375460 1
 
0.1%
429063 1
 
0.1%
1042335 1
 
0.1%
Other values (982) 982
98.2%
ValueCountFrequency (%)
0 6
0.6%
6 1
 
0.1%
10 1
 
0.1%
46 1
 
0.1%
52 1
 
0.1%
70 1
 
0.1%
136 1
 
0.1%
150 1
 
0.1%
152 1
 
0.1%
185 1
 
0.1%
ValueCountFrequency (%)
1093153705 1
0.1%
932050683 1
0.1%
825541510 1
0.1%
746688209 1
0.1%
600206760 1
0.1%
571490149 1
0.1%
492740571 1
0.1%
487007842 1
0.1%
442860453 1
0.1%
399431474 1
0.1%

수수료차감액
Real number (ℝ)

SKEWED  ZEROS 

Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean605.437
Minimum-15483
Maximum567232
Zeros967
Zeros (%)96.7%
Negative19
Negative (%)1.9%
Memory size8.9 KiB
2023-12-13T02:29:09.147310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-15483
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum567232
Range582715
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17970.462
Coefficient of variation (CV)29.681804
Kurtosis992.38478
Mean605.437
Median Absolute Deviation (MAD)0
Skewness31.443708
Sum605437
Variance3.2293751 × 108
MonotonicityNot monotonic
2023-12-13T02:29:09.329665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 967
96.7%
10 1
 
0.1%
-15483 1
 
0.1%
7121 1
 
0.1%
97 1
 
0.1%
-1292 1
 
0.1%
1780 1
 
0.1%
52 1
 
0.1%
-3 1
 
0.1%
70 1
 
0.1%
Other values (24) 24
 
2.4%
ValueCountFrequency (%)
-15483 1
0.1%
-10793 1
0.1%
-1292 1
0.1%
-244 1
0.1%
-187 1
0.1%
-105 1
0.1%
-100 1
0.1%
-95 1
0.1%
-80 1
0.1%
-59 1
0.1%
ValueCountFrequency (%)
567232 1
0.1%
20106 1
0.1%
17315 1
0.1%
7694 1
0.1%
7121 1
0.1%
5534 1
0.1%
4002 1
0.1%
2658 1
0.1%
1780 1
0.1%
330 1
0.1%

수수료확인상태코드
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

2023-12-13T02:29:09.499098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:09.612445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1000
100.0%

수수료확인요청일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1900-01-01 00:00
1000 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1900-01-01 00:00
2nd row1900-01-01 00:00
3rd row1900-01-01 00:00
4th row1900-01-01 00:00
5th row1900-01-01 00:00

Common Values

ValueCountFrequency (%)
1900-01-01 00:00 1000
100.0%

Length

2023-12-13T02:29:09.741343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:09.858446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1900-01-01 1000
50.0%
00:00 1000
50.0%

수수료확인조치일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1900-01-01 00:00
1000 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1900-01-01 00:00
2nd row1900-01-01 00:00
3rd row1900-01-01 00:00
4th row1900-01-01 00:00
5th row1900-01-01 00:00

Common Values

ValueCountFrequency (%)
1900-01-01 00:00 1000
100.0%

Length

2023-12-13T02:29:10.009496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:10.119195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1900-01-01 1000
50.0%
00:00 1000
50.0%

수수료확인완료일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1900-01-01 00:00
1000 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1900-01-01 00:00
2nd row1900-01-01 00:00
3rd row1900-01-01 00:00
4th row1900-01-01 00:00
5th row1900-01-01 00:00

Common Values

ValueCountFrequency (%)
1900-01-01 00:00 1000
100.0%

Length

2023-12-13T02:29:10.264440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:10.380263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1900-01-01 1000
50.0%
00:00 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1
867 
2
133 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 867
86.7%
2 133
 
13.3%

Length

2023-12-13T02:29:10.492615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:10.949709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 867
86.7%
2 133
 
13.3%

등록사번
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1478
947 
1769
 
51
1841
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1769
2nd row1769
3rd row1769
4th row1769
5th row1769

Common Values

ValueCountFrequency (%)
1478 947
94.7%
1769 51
 
5.1%
1841 2
 
0.2%

Length

2023-12-13T02:29:11.059559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:11.189257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1478 947
94.7%
1769 51
 
5.1%
1841 2
 
0.2%

등록일자
Categorical

Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-10-12 13:13
238 
2020-10-12 13:09
106 
2020-10-12 13:11
102 
2020-10-12 13:05
72 
2020-10-12 11:34
66 
Other values (36)
416 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st row2020-10-19 16:28
2nd row2020-10-19 16:28
3rd row2020-10-19 16:28
4th row2020-10-20 10:52
5th row2020-10-20 10:52

Common Values

ValueCountFrequency (%)
2020-10-12 13:13 238
23.8%
2020-10-12 13:09 106
10.6%
2020-10-12 13:11 102
10.2%
2020-10-12 13:05 72
 
7.2%
2020-10-12 11:34 66
 
6.6%
2020-10-12 13:08 48
 
4.8%
2020-10-12 15:19 48
 
4.8%
2020-10-12 13:14 43
 
4.3%
2020-10-19 16:28 43
 
4.3%
2020-10-12 13:06 40
 
4.0%
Other values (31) 194
19.4%

Length

2023-12-13T02:29:11.297084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-10-12 875
43.8%
13:13 238
 
11.9%
13:09 106
 
5.3%
13:11 102
 
5.1%
13:05 72
 
3.6%
11:34 66
 
3.3%
13:08 48
 
2.4%
15:19 48
 
2.4%
13:14 43
 
2.1%
2020-10-19 43
 
2.1%
Other values (37) 359
17.9%

납입예정일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-10-14
920 
2020-10-20
 
76
<NA>
 
4

Length

Max length10
Median length10
Mean length9.976
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-20
2nd row2020-10-20
3rd row2020-10-20
4th row2020-10-20
5th row2020-10-20

Common Values

ValueCountFrequency (%)
2020-10-14 920
92.0%
2020-10-20 76
 
7.6%
<NA> 4
 
0.4%

Length

2023-12-13T02:29:11.450411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:11.574881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-14 920
92.0%
2020-10-20 76
 
7.6%
na 4
 
0.4%

Sample

유동화계획코드대출기관코드인수코드상품그룹코드관리수수료코드수수료율청구일자계산시작일자계산종료일자계산일수대출평잔금액수수료청구금액수수료차감액수수료확인상태코드수수료확인요청일시수수료확인조치일시수수료확인완료일시상품구분코드등록사번등록일자납입예정일자
0KHFCMB2020S-29B0880000-0000-0000A업무위탁수수료(내집마련디딤돌)0.02020-10-202020-09-042020-09-04118624112230000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
1KHFCMB2020S-29B0880000-0000-0000T업무위탁수수료(u-보금자리론)0.02020-10-202020-09-042020-09-04125800000000025710000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
2KHFCMB2020S-29B0880000-0000-0000A인지세(내집마련디딤돌)0.02020-10-202020-09-042020-09-041186241122110000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
3KHFCMB2020S-29B0880000-0000-0000A취급수수료(내집마련디딤돌)0.02020-10-202020-09-042020-09-041186241122299194001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-20 10:522020-10-20
4KHFCMB2020S-29B0880000-0000-0000A일회성채권관리수수료(내집마련디딤돌)0.02020-10-202020-09-042020-09-04118624112236443001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-20 10:522020-10-20
5KHFCMB2020S-29B0880000-0000-0000A저당설정비(내집마련디딤돌)0.02020-10-202020-09-042020-09-041186241122881290001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
6KHFCMB2020S-29B0880000-0000-0000T모집인비용(u-보금자리론)0.42020-10-202020-09-042020-09-04150202000000199029000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
7KHFCMB2020S-29B0880000-0000-0000T모집인비용(u-보금자리론)0.12020-10-202020-09-042020-09-04135443122243496811001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
8KHFCMB2020S-29B0880000-0000-0000T인지세(u-보금자리론)0.02020-10-202020-09-042020-09-041258000000000103620000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
9KHFCMB2020S-29B0880000-0000-0000T감정평가수수료(u-보금자리론)0.02020-10-202020-09-042020-09-0412580000000000001900-01-01 00:001900-01-01 00:001900-01-01 00:00117692020-10-19 16:282020-10-20
유동화계획코드대출기관코드인수코드상품그룹코드관리수수료코드수수료율청구일자계산시작일자계산종료일자계산일수대출평잔금액수수료청구금액수수료차감액수수료확인상태코드수수료확인요청일시수수료확인조치일시수수료확인완료일시상품구분코드등록사번등록일자납입예정일자
990KHFCMB2019S-24B081B081-2019-0102C유동화적격대출기본채권관리수수료(고정)0.12020-10-072020-09-012020-09-3030257950623872114349001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:132020-10-14
991KHFCMB2019S-24B081B081-2019-0102C유동화적격대출기본채권관리수수료(변동)0.152020-10-072020-09-012020-09-3030257950623873171524001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:132020-10-14
992KHFCMB2019S-24B0810000-0000-0000M기본채권관리수수료(t플러스)0.12020-10-072020-09-012020-09-3030298881267662449846001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-14 11:222020-10-14
993KHFCMB2019S-24B035B035-2019-0014C유동화적격대출기본채권관리수수료(고정)0.12020-10-072020-09-012020-09-303091238387574786001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:092020-10-14
994KHFCMB2019S-24B035B035-2019-0014C유동화적격대출기본채권관리수수료(변동)0.152020-10-072020-09-012020-09-3030912383875112178001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:092020-10-14
995KHFCMB2019S-24B027B027-2019-0012C유동화적격대출기본채권관리수수료(고정)0.12020-10-072020-09-012020-09-3030183410914881503368001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:092020-10-14
996KHFCMB2019S-24B027B027-2019-0012C유동화적격대출기본채권관리수수료(변동)0.10072020-10-072020-09-012020-09-3030183410914881513892001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:092020-10-14
997KHFCMB2019S-24B020B020-2019-0096C유동화적격대출기본채권관리수수료(고정)0.12020-10-072020-09-012020-09-3030200315167501641928001900-01-01 00:001900-01-01 00:001900-01-01 00:00114782020-10-12 13:132020-10-14
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