Overview

Dataset statistics

Number of variables7
Number of observations346
Missing cells69
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory62.4 B

Variable types

Text1
Numeric6

Dataset

Description한국주택금융공사에서 발행한 주택저당채권담보부채권(MBB) 현황에 대한 데이터입니다. 상품명,전월대출잔액, 조기상환액 ,조기상환율(퍼센트),기준월 대출잔액,연체금액,연체율(퍼센트)
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15073664/fileData.do

Alerts

전월대출잔액 is highly overall correlated with 조기상환액 and 3 other fieldsHigh correlation
조기상환액 is highly overall correlated with 전월대출잔액 and 3 other fieldsHigh correlation
기준월 대출잔액 is highly overall correlated with 전월대출잔액 and 3 other fieldsHigh correlation
연체금액 is highly overall correlated with 전월대출잔액 and 2 other fieldsHigh correlation
연체율(퍼센트) is highly overall correlated with 전월대출잔액 and 2 other fieldsHigh correlation
전월대출잔액 has 10 (2.9%) missing valuesMissing
조기상환액 has 26 (7.5%) missing valuesMissing
기준월 대출잔액 has 10 (2.9%) missing valuesMissing
연체금액 has 23 (6.6%) missing valuesMissing
상품명 has unique valuesUnique
조기상환율(퍼센트) has 26 (7.5%) zerosZeros
연체율(퍼센트) has 23 (6.6%) zerosZeros

Reproduction

Analysis started2023-12-12 13:59:53.010978
Analysis finished2023-12-12 13:59:59.832141
Duration6.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상품명
Text

UNIQUE 

Distinct346
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T23:00:00.119968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.690751
Min length10

Characters and Unicode

Total characters3699
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique346 ?
Unique (%)100.0%

Sample

1st rowMBS 2005-2
2nd rowMBS 2005-3
3rd rowMBS 2005-4
4th rowMBS 2005-5
5th rowMBS 2005-6
ValueCountFrequency (%)
mbs 346
50.0%
2016-19 1
 
0.1%
2016-27 1
 
0.1%
2016-26 1
 
0.1%
2016-25 1
 
0.1%
2016-24 1
 
0.1%
2016-23 1
 
0.1%
2016-22 1
 
0.1%
2017-05 1
 
0.1%
2016-20 1
 
0.1%
Other values (337) 337
48.7%
2023-12-12T23:00:00.645889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 521
14.1%
0 478
12.9%
1 461
12.5%
M 346
9.4%
B 346
9.4%
S 346
9.4%
346
9.4%
- 346
9.4%
3 96
 
2.6%
5 72
 
1.9%
Other values (5) 341
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1969
53.2%
Uppercase Letter 1038
28.1%
Space Separator 346
 
9.4%
Dash Punctuation 346
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 521
26.5%
0 478
24.3%
1 461
23.4%
3 96
 
4.9%
5 72
 
3.7%
8 71
 
3.6%
9 70
 
3.6%
6 69
 
3.5%
7 69
 
3.5%
4 62
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
M 346
33.3%
B 346
33.3%
S 346
33.3%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2661
71.9%
Latin 1038
 
28.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 521
19.6%
0 478
18.0%
1 461
17.3%
346
13.0%
- 346
13.0%
3 96
 
3.6%
5 72
 
2.7%
8 71
 
2.7%
9 70
 
2.6%
6 69
 
2.6%
Other values (2) 131
 
4.9%
Latin
ValueCountFrequency (%)
M 346
33.3%
B 346
33.3%
S 346
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 521
14.1%
0 478
12.9%
1 461
12.5%
M 346
9.4%
B 346
9.4%
S 346
9.4%
346
9.4%
- 346
9.4%
3 96
 
2.6%
5 72
 
1.9%
Other values (5) 341
9.2%

전월대출잔액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct335
Distinct (%)99.7%
Missing10
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean391930.73
Minimum481
Maximum3271402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:00.851243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum481
5-th percentile1584.75
Q117464.5
median99148.5
Q3650330.75
95-th percentile1495421.5
Maximum3271402
Range3270921
Interquartile range (IQR)632866.25

Descriptive statistics

Standard deviation528518.81
Coefficient of variation (CV)1.3485006
Kurtosis4.7070273
Mean391930.73
Median Absolute Deviation (MAD)97797.5
Skewness1.9315677
Sum1.3168873 × 108
Variance2.7933214 × 1011
MonotonicityNot monotonic
2023-12-12T23:00:01.023864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2493 2
 
0.6%
879893 1
 
0.3%
717714 1
 
0.3%
974052 1
 
0.3%
1033910 1
 
0.3%
1019197 1
 
0.3%
903884 1
 
0.3%
306065 1
 
0.3%
512847 1
 
0.3%
605538 1
 
0.3%
Other values (325) 325
93.9%
(Missing) 10
 
2.9%
ValueCountFrequency (%)
481 1
0.3%
844 1
0.3%
909 1
0.3%
938 1
0.3%
968 1
0.3%
975 1
0.3%
1004 1
0.3%
1020 1
0.3%
1023 1
0.3%
1059 1
0.3%
ValueCountFrequency (%)
3271402 1
0.3%
2911065 1
0.3%
2193355 1
0.3%
2162247 1
0.3%
1985207 1
0.3%
1930132 1
0.3%
1929739 1
0.3%
1891572 1
0.3%
1883499 1
0.3%
1865125 1
0.3%

조기상환액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct310
Distinct (%)96.9%
Missing26
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5794.0437
Minimum0
Maximum32483
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:01.204028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.75
Q1430.5
median2421.5
Q39970.5
95-th percentile19956.95
Maximum32483
Range32483
Interquartile range (IQR)9540

Descriptive statistics

Standard deviation6736.0858
Coefficient of variation (CV)1.162588
Kurtosis1.0162055
Mean5794.0437
Median Absolute Deviation (MAD)2361.5
Skewness1.2656469
Sum1854094
Variance45374852
MonotonicityNot monotonic
2023-12-12T23:00:01.382597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 4
 
1.2%
1361 2
 
0.6%
160 2
 
0.6%
75 2
 
0.6%
5 2
 
0.6%
1 2
 
0.6%
122 2
 
0.6%
10 2
 
0.6%
15072 1
 
0.3%
13809 1
 
0.3%
Other values (300) 300
86.7%
(Missing) 26
 
7.5%
ValueCountFrequency (%)
0 1
0.3%
1 2
0.6%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 2
0.6%
9 1
0.3%
10 2
0.6%
11 1
0.3%
13 1
0.3%
ValueCountFrequency (%)
32483 1
0.3%
28821 1
0.3%
25334 1
0.3%
24392 1
0.3%
24192 1
0.3%
24137 1
0.3%
24098 1
0.3%
23683 1
0.3%
23450 1
0.3%
23251 1
0.3%

조기상환율(퍼센트)
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7848844
Minimum0
Maximum14.09
Zeros26
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:01.571853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.825
median1.77
Q32.415
95-th percentile3.5
Maximum14.09
Range14.09
Interquartile range (IQR)1.59

Descriptive statistics

Standard deviation1.3450302
Coefficient of variation (CV)0.75356712
Kurtosis20.423063
Mean1.7848844
Median Absolute Deviation (MAD)0.755
Skewness2.7248452
Sum617.57
Variance1.8091062
MonotonicityNot monotonic
2023-12-12T23:00:01.741137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
7.5%
2.4 4
 
1.2%
1.3 4
 
1.2%
2.38 3
 
0.9%
2.56 3
 
0.9%
1.87 3
 
0.9%
0.52 3
 
0.9%
2.39 3
 
0.9%
1.81 3
 
0.9%
0.69 3
 
0.9%
Other values (203) 291
84.1%
ValueCountFrequency (%)
0.0 26
7.5%
0.01 1
 
0.3%
0.03 1
 
0.3%
0.09 1
 
0.3%
0.14 1
 
0.3%
0.16 1
 
0.3%
0.17 1
 
0.3%
0.19 2
 
0.6%
0.23 1
 
0.3%
0.26 2
 
0.6%
ValueCountFrequency (%)
14.09 1
0.3%
6.83 1
0.3%
6.69 1
0.3%
5.9 1
0.3%
5.64 1
0.3%
5.61 1
0.3%
5.13 1
0.3%
4.95 1
0.3%
4.77 1
0.3%
4.32 1
0.3%

기준월 대출잔액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct336
Distinct (%)100.0%
Missing10
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean385008.77
Minimum475
Maximum3245437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:01.930296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum475
5-th percentile1517.5
Q116645.5
median96582.5
Q3632553.25
95-th percentile1483607
Maximum3245437
Range3244962
Interquartile range (IQR)615907.75

Descriptive statistics

Standard deviation521662.99
Coefficient of variation (CV)1.3549379
Kurtosis4.8445843
Mean385008.77
Median Absolute Deviation (MAD)95249
Skewness1.9548306
Sum1.2936295 × 108
Variance2.7213228 × 1011
MonotonicityNot monotonic
2023-12-12T23:00:02.087270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
863049 1
 
0.3%
704013 1
 
0.3%
954707 1
 
0.3%
1015777 1
 
0.3%
1001261 1
 
0.3%
885668 1
 
0.3%
299753 1
 
0.3%
503436 1
 
0.3%
595173 1
 
0.3%
155050 1
 
0.3%
Other values (326) 326
94.2%
(Missing) 10
 
2.9%
ValueCountFrequency (%)
475 1
0.3%
839 1
0.3%
875 1
0.3%
931 1
0.3%
962 1
0.3%
970 1
0.3%
974 1
0.3%
977 1
0.3%
980 1
0.3%
1016 1
0.3%
ValueCountFrequency (%)
3245437 1
0.3%
2892010 1
0.3%
2178289 1
0.3%
2145207 1
0.3%
1966745 1
0.3%
1897013 1
0.3%
1895445 1
0.3%
1858429 1
0.3%
1851011 1
0.3%
1832877 1
0.3%

연체금액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct300
Distinct (%)92.9%
Missing23
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean1189.743
Minimum2
Maximum14327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:02.267422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile33.1
Q1277
median791
Q31702
95-th percentile3709.1
Maximum14327
Range14325
Interquartile range (IQR)1425

Descriptive statistics

Standard deviation1362.5487
Coefficient of variation (CV)1.1452462
Kurtosis26.589065
Mean1189.743
Median Absolute Deviation (MAD)588
Skewness3.5970514
Sum384287
Variance1856538.9
MonotonicityNot monotonic
2023-12-12T23:00:02.417315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
0.9%
84 3
 
0.9%
323 2
 
0.6%
1110 2
 
0.6%
398 2
 
0.6%
641 2
 
0.6%
215 2
 
0.6%
1454 2
 
0.6%
468 2
 
0.6%
144 2
 
0.6%
Other values (290) 301
87.0%
(Missing) 23
 
6.6%
ValueCountFrequency (%)
2 3
0.9%
5 1
 
0.3%
6 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
13 2
0.6%
18 1
 
0.3%
21 1
 
0.3%
24 1
 
0.3%
25 1
 
0.3%
ValueCountFrequency (%)
14327 1
0.3%
5153 1
0.3%
5137 1
0.3%
5027 1
0.3%
4792 1
0.3%
4760 1
0.3%
4656 1
0.3%
4651 1
0.3%
4425 1
0.3%
4401 1
0.3%

연체율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct186
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4147399
Minimum0
Maximum51.28
Zeros23
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-12T23:00:02.573675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median0.56
Q31.805
95-th percentile8.625
Maximum51.28
Range51.28
Interquartile range (IQR)1.605

Descriptive statistics

Standard deviation5.7716707
Coefficient of variation (CV)2.3901832
Kurtosis32.46653
Mean2.4147399
Median Absolute Deviation (MAD)0.5
Skewness5.1753092
Sum835.5
Variance33.312182
MonotonicityNot monotonic
2023-12-12T23:00:02.719318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
6.6%
0.02 7
 
2.0%
0.14 7
 
2.0%
0.01 7
 
2.0%
0.21 6
 
1.7%
0.2 6
 
1.7%
0.08 6
 
1.7%
0.32 5
 
1.4%
0.24 5
 
1.4%
0.4 5
 
1.4%
Other values (176) 269
77.7%
ValueCountFrequency (%)
0.0 23
6.6%
0.01 7
 
2.0%
0.02 7
 
2.0%
0.03 3
 
0.9%
0.04 4
 
1.2%
0.05 3
 
0.9%
0.06 3
 
0.9%
0.07 3
 
0.9%
0.08 6
 
1.7%
0.1 4
 
1.2%
ValueCountFrequency (%)
51.28 1
0.3%
47.21 1
0.3%
37.61 1
0.3%
29.35 1
0.3%
29.3 1
0.3%
28.23 1
0.3%
22.37 1
0.3%
21.28 1
0.3%
19.81 1
0.3%
18.51 1
0.3%

Interactions

2023-12-12T22:59:58.289267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:53.436884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.230364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.968262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.889324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:57.182573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:58.409240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:53.651050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.336674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.084363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:56.076615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:57.404759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:58.884540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:53.762388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.469277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.177874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:56.280277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:57.616752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:59.033182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:53.898510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.581645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.304902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:56.504457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:57.831561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:59.156156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.033842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.705231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.448917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:56.690654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:58.018300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:59.290918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.131141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:54.855797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:55.720330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:56.910594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:58.169414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:00:02.808744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전월대출잔액조기상환액조기상환율(퍼센트)기준월 대출잔액연체금액연체율(퍼센트)
전월대출잔액1.0000.7230.3101.0000.5320.000
조기상환액0.7231.0000.2260.7230.9190.000
조기상환율(퍼센트)0.3100.2261.0000.3100.1260.000
기준월 대출잔액1.0000.7230.3101.0000.5320.000
연체금액0.5320.9190.1260.5321.0000.000
연체율(퍼센트)0.0000.0000.0000.0000.0001.000
2023-12-12T23:00:02.936966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전월대출잔액조기상환액조기상환율(퍼센트)기준월 대출잔액연체금액연체율(퍼센트)
전월대출잔액1.0000.922-0.0341.0000.609-0.679
조기상환액0.9221.0000.1000.9200.700-0.596
조기상환율(퍼센트)-0.0340.1001.000-0.0380.1890.276
기준월 대출잔액1.0000.920-0.0381.0000.608-0.680
연체금액0.6090.7000.1890.6081.000-0.115
연체율(퍼센트)-0.679-0.5960.276-0.680-0.1151.000

Missing values

2023-12-12T22:59:59.448665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:59:59.630503image/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.
2023-12-12T22:59:59.755821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

상품명전월대출잔액조기상환액조기상환율(퍼센트)기준월 대출잔액연체금액연체율(퍼센트)
0MBS 2005-2303290.33001141747.21
1MBS 2005-32372251.06230545719.81
2MBS 2005-41965130.661927211.1
3MBS 2005-52096160.75206258228.23
4MBS 2005-6<NA><NA>0.0<NA><NA>0.0
5MBS 2005-72983250.822934110437.61
6MBS 2005-82518672.642428124551.28
7MBS 2005-9<NA><NA>0.0<NA><NA>0.0
8MBS 2006-12138251.18208729514.11
9MBS 2006-22125100.46209761429.3
상품명전월대출잔액조기상환액조기상환율(퍼센트)기준월 대출잔액연체금액연체율(퍼센트)
336MBS 2020-1279642339420.49790383850.01
337MBS 2020-1380128042390.537944273200.04
338MBS 2020-1440150911070.28399130<NA>0.0
339MBS 2020-1585258336120.428461446370.08
340MBS 2020-1649754534210.694930531440.03
341MBS 2020-17119999237800.3211919511530.01
342MBS 2020-18131436735470.2713031592060.02
343MBS 2020-19140255224060.1713940065150.04
344MBS 2020-20143581323680.1614274372180.02
345MBS 2020-2185767828800.348527053900.05