Overview

Dataset statistics

Number of variables14
Number of observations1000
Missing cells1000
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory119.3 KiB
Average record size in memory122.1 B

Variable types

Categorical9
Text1
Numeric3
Unsupported1

Dataset

Description채권관리수수료용 평잔 검증 정보에 대한 데이터로, 기준월, 기준일자, 대출건수, 등록자사번 등과 같은 항목을 제공합니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15072795/fileData.do

Alerts

기준월 has constant value ""Constant
계산구분 has constant value ""Constant
생성일시 has constant value ""Constant
등록자사번 has constant value ""Constant
확인자사번 has constant value ""Constant
미수채권잔액_U has constant value ""Constant
미수채권납입금액_U has constant value ""Constant
대출건수 is highly overall correlated with 대출잔액 and 1 other fieldsHigh correlation
대출잔액 is highly overall correlated with 대출건수 and 1 other fieldsHigh correlation
BS잔액 is highly overall correlated with 대출건수 and 2 other fieldsHigh correlation
확인일시 is highly overall correlated with BS잔액High correlation
비고 has 1000 (100.0%) missing valuesMissing
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대출건수 has 793 (79.3%) zerosZeros
대출잔액 has 793 (79.3%) zerosZeros
BS잔액 has 793 (79.3%) zerosZeros

Reproduction

Analysis started2023-12-12 03:32:32.376911
Analysis finished2023-12-12 03:32:34.384236
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
202010
1000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202010
2nd row202010
3rd row202010
4th row202010
5th row202010

Common Values

ValueCountFrequency (%)
202010 1000
100.0%

Length

2023-12-12T12:32:34.488265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:34.613848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202010 1000
100.0%

유동화계획코드
Text

Distinct244
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T12:32:34.878341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14000
Distinct characters18
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

Unique40 ?
Unique (%)4.0%

Sample

1st rowKHFCMB2020S-31
2nd rowKHFCMB2020S-30
3rd rowKHFCMB2020S-30
4th rowKHFCMB2020S-28
5th rowKHFCMB2020S-27
ValueCountFrequency (%)
khfcmb2019s-01 17
 
1.7%
khfcmb2013s-38 14
 
1.4%
khfcmb2013s-23 14
 
1.4%
khfcmb2015s-12 12
 
1.2%
khfcmb2014s-02 12
 
1.2%
khfcmb2015s-08 12
 
1.2%
khfcmb2016s-02 12
 
1.2%
khfcmb2013s-03 11
 
1.1%
khfcmb2017s-06 11
 
1.1%
khfcmb2013s-12 11
 
1.1%
Other values (234) 874
87.4%
2023-12-12T12:32:35.296751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1746
12.5%
2 1458
10.4%
1 1259
9.0%
K 1000
 
7.1%
F 1000
 
7.1%
C 1000
 
7.1%
M 1000
 
7.1%
B 1000
 
7.1%
H 1000
 
7.1%
S 1000
 
7.1%
Other values (8) 2537
18.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7000
50.0%
Decimal Number 6000
42.9%
Dash Punctuation 1000
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1746
29.1%
2 1458
24.3%
1 1259
21.0%
3 383
 
6.4%
5 244
 
4.1%
4 207
 
3.5%
9 193
 
3.2%
8 182
 
3.0%
7 175
 
2.9%
6 153
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
K 1000
14.3%
F 1000
14.3%
C 1000
14.3%
M 1000
14.3%
B 1000
14.3%
H 1000
14.3%
S 1000
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7000
50.0%
Latin 7000
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1746
24.9%
2 1458
20.8%
1 1259
18.0%
- 1000
14.3%
3 383
 
5.5%
5 244
 
3.5%
4 207
 
3.0%
9 193
 
2.8%
8 182
 
2.6%
7 175
 
2.5%
Latin
ValueCountFrequency (%)
K 1000
14.3%
F 1000
14.3%
C 1000
14.3%
M 1000
14.3%
B 1000
14.3%
H 1000
14.3%
S 1000
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1746
12.5%
2 1458
10.4%
1 1259
9.0%
K 1000
 
7.1%
F 1000
 
7.1%
C 1000
 
7.1%
M 1000
 
7.1%
B 1000
 
7.1%
H 1000
 
7.1%
S 1000
 
7.1%
Other values (8) 2537
18.1%

기준일자
Categorical

Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-09-01
 
43
2020-09-06
 
41
2020-09-21
 
39
2020-09-28
 
38
2020-09-22
 
38
Other values (25)
801 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-27
2nd row2020-09-29
3rd row2020-09-21
4th row2020-09-01
5th row2020-09-24

Common Values

ValueCountFrequency (%)
2020-09-01 43
 
4.3%
2020-09-06 41
 
4.1%
2020-09-21 39
 
3.9%
2020-09-28 38
 
3.8%
2020-09-22 38
 
3.8%
2020-09-07 37
 
3.7%
2020-09-12 36
 
3.6%
2020-09-10 36
 
3.6%
2020-09-18 36
 
3.6%
2020-09-24 35
 
3.5%
Other values (20) 621
62.1%

Length

2023-12-12T12:32:35.460763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-09-01 43
 
4.3%
2020-09-06 41
 
4.1%
2020-09-21 39
 
3.9%
2020-09-28 38
 
3.8%
2020-09-22 38
 
3.8%
2020-09-07 37
 
3.7%
2020-09-12 36
 
3.6%
2020-09-10 36
 
3.6%
2020-09-18 36
 
3.6%
2020-09-24 35
 
3.5%
Other values (20) 621
62.1%

대출건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct198
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.815
Minimum0
Maximum14801
Zeros793
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T12:32:35.594380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2847.95
Maximum14801
Range14801
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1363.4606
Coefficient of variation (CV)3.0721372
Kurtosis34.469363
Mean443.815
Median Absolute Deviation (MAD)0
Skewness5.0758185
Sum443815
Variance1859024.8
MonotonicityNot monotonic
2023-12-12T12:32:35.754292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
79.3%
1860 2
 
0.2%
308 2
 
0.2%
141 2
 
0.2%
139 2
 
0.2%
1074 2
 
0.2%
1528 2
 
0.2%
1088 2
 
0.2%
1789 2
 
0.2%
720 2
 
0.2%
Other values (188) 189
 
18.9%
ValueCountFrequency (%)
0 793
79.3%
138 1
 
0.1%
139 2
 
0.2%
140 1
 
0.1%
141 2
 
0.2%
206 1
 
0.1%
222 1
 
0.1%
223 1
 
0.1%
235 1
 
0.1%
241 1
 
0.1%
ValueCountFrequency (%)
14801 1
0.1%
14788 1
0.1%
8431 1
0.1%
8423 1
0.1%
8411 1
0.1%
8136 1
0.1%
8126 1
0.1%
8008 1
0.1%
7321 1
0.1%
7318 1
0.1%

대출잔액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct189
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.718299 × 1010
Minimum0
Maximum1.25 × 1012
Zeros793
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T12:32:35.946191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.6155 × 1011
Maximum1.25 × 1012
Range1.25 × 1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5411311 × 1011
Coefficient of variation (CV)3.2662854
Kurtosis26.441906
Mean4.718299 × 1010
Median Absolute Deviation (MAD)0
Skewness4.7963533
Sum4.718299 × 1013
Variance2.3750851 × 1022
MonotonicityNot monotonic
2023-12-12T12:32:36.133861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
79.3%
177000000000 4
 
0.4%
183000000000 3
 
0.3%
104000000000 3
 
0.3%
134000000000 3
 
0.3%
140000000000 2
 
0.2%
147000000000 2
 
0.2%
162000000000 2
 
0.2%
250000000000 2
 
0.2%
142000000000 2
 
0.2%
Other values (179) 184
 
18.4%
ValueCountFrequency (%)
0 793
79.3%
7733083403 1
 
0.1%
7777489011 1
 
0.1%
7783026558 1
 
0.1%
7850935891 1
 
0.1%
7961209560 1
 
0.1%
7964733098 1
 
0.1%
12136496847 1
 
0.1%
13183962752 1
 
0.1%
13406465804 1
 
0.1%
ValueCountFrequency (%)
1250000000000 2
0.2%
1230000000000 1
0.1%
1210000000000 2
0.2%
1070000000000 1
0.1%
1060000000000 1
0.1%
850000000000 1
0.1%
848000000000 1
0.1%
847000000000 1
0.1%
791000000000 1
0.1%
769000000000 1
0.1%

BS잔액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct184
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9754954 × 1010
Minimum0
Maximum1.31 × 1012
Zeros793
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T12:32:36.352062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.7735 × 1011
Maximum1.31 × 1012
Range1.31 × 1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9184032 × 1011
Coefficient of variation (CV)2.7502035
Kurtosis13.45653
Mean6.9754954 × 1010
Median Absolute Deviation (MAD)0
Skewness3.4816431
Sum6.9754954 × 1013
Variance3.6802707 × 1022
MonotonicityNot monotonic
2023-12-12T12:32:36.575494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 793
79.3%
1310000000000 3
 
0.3%
188000000000 3
 
0.3%
239000000000 2
 
0.2%
391000000000 2
 
0.2%
206000000000 2
 
0.2%
110000000000 2
 
0.2%
428000000000 2
 
0.2%
371000000000 2
 
0.2%
104000000000 2
 
0.2%
Other values (174) 187
 
18.7%
ValueCountFrequency (%)
0 793
79.3%
7850935891 1
 
0.1%
7961209560 1
 
0.1%
7964733098 1
 
0.1%
7965009374 1
 
0.1%
8009414982 1
 
0.1%
8014952529 1
 
0.1%
12187978869 1
 
0.1%
13278812260 1
 
0.1%
13501315312 1
 
0.1%
ValueCountFrequency (%)
1310000000000 3
0.3%
1250000000000 2
0.2%
1100000000000 2
0.2%
934000000000 1
 
0.1%
897000000000 1
 
0.1%
895000000000 1
 
0.1%
889000000000 1
 
0.1%
887000000000 1
 
0.1%
877000000000 1
 
0.1%
873000000000 1
 
0.1%

계산구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1
1000 

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 1000
100.0%

Length

2023-12-12T12:32:36.754879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:36.871929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1000
100.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1000
Missing (%)100.0%
Memory size8.9 KiB

생성일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-10-08 13:04
1000 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-08 13:04
2nd row2020-10-08 13:04
3rd row2020-10-08 13:04
4th row2020-10-08 13:04
5th row2020-10-08 13:04

Common Values

ValueCountFrequency (%)
2020-10-08 13:04 1000
100.0%

Length

2023-12-12T12:32:36.984178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:37.110990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-08 1000
50.0%
13:04 1000
50.0%

등록자사번
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1478
1000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1478
2nd row1478
3rd row1478
4th row1478
5th row1478

Common Values

ValueCountFrequency (%)
1478 1000
100.0%

Length

2023-12-12T12:32:37.222305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:37.343217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1478 1000
100.0%

확인일시
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2020-10-08 14:07
610 
2020-10-08 14:08
390 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-08 14:08
2nd row2020-10-08 14:08
3rd row2020-10-08 14:08
4th row2020-10-08 14:08
5th row2020-10-08 14:08

Common Values

ValueCountFrequency (%)
2020-10-08 14:07 610
61.0%
2020-10-08 14:08 390
39.0%

Length

2023-12-12T12:32:37.473836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:37.598054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-08 1000
50.0%
14:07 610
30.5%
14:08 390
 
19.5%

확인자사번
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1478
1000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1478
2nd row1478
3rd row1478
4th row1478
5th row1478

Common Values

ValueCountFrequency (%)
1478 1000
100.0%

Length

2023-12-12T12:32:37.731297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:37.850919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1478 1000
100.0%

미수채권잔액_U
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

2023-12-12T12:32:37.977506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:38.113701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1000
100.0%

미수채권납입금액_U
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

2023-12-12T12:32:38.250696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:32:38.358860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1000
100.0%

Interactions

2023-12-12T12:32:33.574130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:32.684983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:33.152330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:33.711275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:32.807401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:33.295868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:33.835119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:32.998329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:32:33.436069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:32:38.444805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자대출건수대출잔액BS잔액확인일시
기준일자1.0000.0780.0000.0000.000
대출건수0.0781.0000.8640.8270.375
대출잔액0.0000.8641.0000.9300.434
BS잔액0.0000.8270.9301.0000.654
확인일시0.0000.3750.4340.6541.000
2023-12-12T12:32:38.568551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자확인일시
기준일자1.0000.000
확인일시0.0001.000
2023-12-12T12:32:38.685251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출건수대출잔액BS잔액기준일자확인일시
대출건수1.0001.0000.9980.0320.400
대출잔액1.0001.0000.9990.0000.433
BS잔액0.9980.9991.0000.0000.506
기준일자0.0320.0000.0001.0000.000
확인일시0.4000.4330.5060.0001.000

Missing values

2023-12-12T12:32:34.012150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:32:34.270212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준월유동화계획코드기준일자대출건수대출잔액BS잔액계산구분비고생성일시등록자사번확인일시확인자사번미수채권잔액_U미수채권납입금액_U
0202010KHFCMB2020S-312020-09-2724133760000000004040000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
1202010KHFCMB2020S-302020-09-298126121000000000013100000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
2202010KHFCMB2020S-302020-09-218136121000000000013100000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
3202010KHFCMB2020S-282020-09-018008123000000000013100000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
4202010KHFCMB2020S-272020-09-2432735240000000005830000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
5202010KHFCMB2020S-272020-09-1732765240000000005840000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
6202010KHFCMB2020S-252020-09-0251457910000000007920000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
7202010KHFCMB2020S-242020-09-247318106000000000011000000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
8202010KHFCMB2020S-242020-09-177321107000000000011000000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
9202010KHFCMB2020S-212020-09-2854635430000000005440000000001<NA>2020-10-08 13:0414782020-10-08 14:08147800
기준월유동화계획코드기준일자대출건수대출잔액BS잔액계산구분비고생성일시등록자사번확인일시확인자사번미수채권잔액_U미수채권납입금액_U
990202010KHFCMB2013S-392020-09-260001<NA>2020-10-08 13:0414782020-10-08 14:07147800
991202010KHFCMB2014S-142020-09-170001<NA>2020-10-08 13:0414782020-10-08 14:08147800
992202010KHFCMB2011S-152020-09-260001<NA>2020-10-08 13:0414782020-10-08 14:07147800
993202010KHFCMB2004S-062020-09-270001<NA>2020-10-08 13:0414782020-10-08 14:07147800
994202010KHFCMB2015S-142020-09-070001<NA>2020-10-08 13:0414782020-10-08 14:08147800
995202010KHFCMB2005S-052020-09-040001<NA>2020-10-08 13:0414782020-10-08 14:07147800
996202010KHFCMB2004S-022020-09-270001<NA>2020-10-08 13:0414782020-10-08 14:07147800
997202010KHFCMB2012S-372020-09-220001<NA>2020-10-08 13:0414782020-10-08 14:07147800
998202010KHFCMB2010S-012020-09-270001<NA>2020-10-08 13:0414782020-10-08 14:07147800
999202010KHFCMB2009S-052020-09-210001<NA>2020-10-08 13:0414782020-10-08 14:07147800