Overview

Dataset statistics

Number of variables36
Number of observations1000
Missing cells19672
Missing cells (%)54.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory304.8 KiB
Average record size in memory312.1 B

Variable types

Numeric5
Categorical2
Unsupported19
DateTime2
Boolean8

Dataset

Description한국주택금융공사 주택연금부 업무 관련 공개 공공데이터 (해당 부서의 업무와 관련된 데이터베이스에서 공개 가능한 원천 데이터) 입니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15073063/fileData.do

Alerts

SMS_YN is highly imbalanced (76.7%)Imbalance
DM_YN_MAIL is highly imbalanced (58.7%)Imbalance
DM_YN_EMAIL is highly imbalanced (94.7%)Imbalance
COMPLT_STATE_DVCD has 1000 (100.0%) missing valuesMissing
CREDITINFO_USE_YN has 315 (31.5%) missing valuesMissing
PCSI_2010_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2010_YN has 1000 (100.0%) missing valuesMissing
PCSI_2010_ETC_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2011_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2011_YN has 1000 (100.0%) missing valuesMissing
PCSI_2011_ETC_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2012_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2012_YN has 1000 (100.0%) missing valuesMissing
PCSI_2012_ETC_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2013_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2013_YN has 1000 (100.0%) missing valuesMissing
PCSI_2013_ETC_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2014_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2014_YN has 1000 (100.0%) missing valuesMissing
PCSI_2014_ETC_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2015_REJECT_CONT has 1000 (100.0%) missing valuesMissing
PCSI_2015_YN has 1000 (100.0%) missing valuesMissing
PCSI_2015_ETC_CONT has 1000 (100.0%) missing valuesMissing
AMITY has 357 (35.7%) missing valuesMissing
CUST_NO has unique valuesUnique
COMPLT_STATE_DVCD is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2010_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2010_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2010_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2011_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2011_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2011_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2012_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2012_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2012_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2013_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2013_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2013_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2014_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2014_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2014_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2015_REJECT_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2015_YN is an unsupported type, check if it needs cleaning or further analysisUnsupported
PCSI_2015_ETC_CONT is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 22:45:26.884981
Analysis finished2023-12-12 22:45:27.205297
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CUST_NO
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4087527 × 108
Minimum7797400
Maximum1.4525982 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T07:45:27.271862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7797400
5-th percentile1.0718821 × 108
Q11.4488811 × 108
median1.4503805 × 108
Q31.4515584 × 108
95-th percentile1.4524092 × 108
Maximum1.4525982 × 108
Range1.3746242 × 108
Interquartile range (IQR)267730

Descriptive statistics

Standard deviation16724836
Coefficient of variation (CV)0.11872088
Kurtosis27.551975
Mean1.4087527 × 108
Median Absolute Deviation (MAD)131087.5
Skewness-4.9985609
Sum1.4087527 × 1011
Variance2.7972013 × 1014
MonotonicityNot monotonic
2023-12-13T07:45:27.408888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145259825 1
 
0.1%
144981343 1
 
0.1%
144994039 1
 
0.1%
144975799 1
 
0.1%
144987460 1
 
0.1%
144987415 1
 
0.1%
144985336 1
 
0.1%
144985242 1
 
0.1%
144984434 1
 
0.1%
100113265 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
7797400 1
0.1%
10506633 1
0.1%
16286546 1
0.1%
26854984 1
0.1%
27170586 1
0.1%
32960105 1
0.1%
38528486 1
0.1%
39776512 1
0.1%
39873897 1
0.1%
40376752 1
0.1%
ValueCountFrequency (%)
145259825 1
0.1%
145259809 1
0.1%
145252738 1
0.1%
145252657 1
0.1%
145252097 1
0.1%
145250798 1
0.1%
145250714 1
0.1%
145250617 1
0.1%
145250552 1
0.1%
145250361 1
0.1%

CTRL_BRCD
Categorical

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
THA
99 
TAB
99 
QAD
88 
TAD
82 
THB
78 
Other values (19)
554 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTLA
2nd rowTLA
3rd rowTPB
4th rowTPA
5th rowTPA

Common Values

ValueCountFrequency (%)
THA 99
9.9%
TAB 99
9.9%
QAD 88
 
8.8%
TAD 82
 
8.2%
THB 78
 
7.8%
TAC 71
 
7.1%
TAA 71
 
7.1%
TBA 68
 
6.8%
TPA 61
 
6.1%
THO 45
 
4.5%
Other values (14) 238
23.8%

Length

2023-12-13T07:45:27.535037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tha 99
9.9%
tab 99
9.9%
qad 88
 
8.8%
tad 82
 
8.2%
thb 78
 
7.8%
tac 71
 
7.1%
taa 71
 
7.1%
tba 68
 
6.8%
tpa 61
 
6.1%
tho 45
 
4.5%
Other values (14) 238
23.8%

DUTY_ENO
Real number (ℝ)

Distinct110
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3573.65
Minimum1174
Maximum7621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T07:45:27.660621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1174
5-th percentile1371
Q11689
median1968
Q36138
95-th percentile7546
Maximum7621
Range6447
Interquartile range (IQR)4449

Descriptive statistics

Standard deviation2331.993
Coefficient of variation (CV)0.65255216
Kurtosis-1.6014711
Mean3573.65
Median Absolute Deviation (MAD)493
Skewness0.50061175
Sum3573650
Variance5438191.5
MonotonicityNot monotonic
2023-12-13T07:45:27.802066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1879 34
 
3.4%
1970 27
 
2.7%
6137 27
 
2.7%
1371 27
 
2.7%
1799 26
 
2.6%
1689 25
 
2.5%
2001 25
 
2.5%
1475 24
 
2.4%
1977 24
 
2.4%
1656 24
 
2.4%
Other values (100) 737
73.7%
ValueCountFrequency (%)
1174 18
1.8%
1304 6
 
0.6%
1371 27
2.7%
1385 21
2.1%
1406 21
2.1%
1475 24
2.4%
1521 2
 
0.2%
1530 3
 
0.3%
1554 12
1.2%
1557 12
1.2%
ValueCountFrequency (%)
7621 9
0.9%
7589 7
 
0.7%
7565 19
1.9%
7564 14
1.4%
7546 2
 
0.2%
7540 10
1.0%
7538 6
 
0.6%
7536 11
1.1%
6203 10
1.0%
6194 8
0.8%

DUTY_TEAM_CD
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
1
509 
2
271 
3
203 
<NA>
 
12
A
 
5

Length

Max length4
Median length1
Mean length1.036
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 509
50.9%
2 271
27.1%
3 203
 
20.3%
<NA> 12
 
1.2%
A 5
 
0.5%

Length

2023-12-13T07:45:27.940618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:28.076586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 509
50.9%
2 271
27.1%
3 203
 
20.3%
na 12
 
1.2%
a 5
 
0.5%

COMPLT_STATE_DVCD
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

REG_ENO
Real number (ℝ)

Distinct56
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6334.497
Minimum1912
Maximum7621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T07:45:28.224905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1912
5-th percentile6104
Q16130
median6143
Q36192
95-th percentile7565
Maximum7621
Range5709
Interquartile range (IQR)62

Descriptive statistics

Standard deviation630.74103
Coefficient of variation (CV)0.099572393
Kurtosis15.781164
Mean6334.497
Median Absolute Deviation (MAD)35
Skewness-1.2541378
Sum6334497
Variance397834.24
MonotonicityNot monotonic
2023-12-13T07:45:28.419071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6110 32
 
3.2%
6137 32
 
3.2%
6107 31
 
3.1%
6192 31
 
3.1%
6142 30
 
3.0%
6203 29
 
2.9%
6108 29
 
2.9%
7565 28
 
2.8%
7536 26
 
2.6%
6132 25
 
2.5%
Other values (46) 707
70.7%
ValueCountFrequency (%)
1912 3
 
0.3%
1968 4
 
0.4%
6098 8
 
0.8%
6102 19
1.9%
6104 23
2.3%
6106 4
 
0.4%
6107 31
3.1%
6108 29
2.9%
6109 20
2.0%
6110 32
3.2%
ValueCountFrequency (%)
7621 20
2.0%
7589 17
1.7%
7565 28
2.8%
7564 25
2.5%
7546 10
 
1.0%
7540 13
1.3%
7538 12
1.2%
7536 26
2.6%
7461 1
 
0.1%
7382 1
 
0.1%

REG_TS
Date

Distinct643
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2011-07-13 15:18:27
Maximum2020-10-23 09:05:11
2023-12-13T07:45:28.550988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:28.672220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

UPDT_ENO
Real number (ℝ)

Distinct57
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6255.05
Minimum1650
Maximum7621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T07:45:28.794305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1650
5-th percentile6104
Q16114
median6143
Q36191
95-th percentile7565
Maximum7621
Range5971
Interquartile range (IQR)77

Descriptive statistics

Standard deviation823.18093
Coefficient of variation (CV)0.13160261
Kurtosis15.600624
Mean6255.05
Median Absolute Deviation (MAD)35
Skewness-2.7363367
Sum6255050
Variance677626.84
MonotonicityNot monotonic
2023-12-13T07:45:28.923336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6137 32
 
3.2%
6110 32
 
3.2%
6107 31
 
3.1%
6192 31
 
3.1%
6142 30
 
3.0%
6108 29
 
2.9%
6203 29
 
2.9%
7565 28
 
2.8%
7536 26
 
2.6%
6132 25
 
2.5%
Other values (47) 707
70.7%
ValueCountFrequency (%)
1650 1
 
0.1%
1656 1
 
0.1%
1874 12
1.2%
1912 3
 
0.3%
1968 4
 
0.4%
2001 1
 
0.1%
6098 8
 
0.8%
6102 19
1.9%
6104 23
2.3%
6106 4
 
0.4%
ValueCountFrequency (%)
7621 20
2.0%
7589 17
1.7%
7565 28
2.8%
7564 17
1.7%
7546 10
 
1.0%
7540 13
1.3%
7538 12
1.2%
7536 26
2.6%
6203 29
2.9%
6194 17
1.7%

UPDT_TS
Date

Distinct615
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2020-10-05 17:48:16
Maximum2020-10-23 09:21:10
2023-12-13T07:45:29.057569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:29.205448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

GUARNT_SMS_YN
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
803 
False
197 
ValueCountFrequency (%)
True 803
80.3%
False 197
 
19.7%
2023-12-13T07:45:29.334447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SMS_YN
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
962 
False
 
38
ValueCountFrequency (%)
True 962
96.2%
False 38
 
3.8%
2023-12-13T07:45:29.413661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DM_YN
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
711 
False
289 
ValueCountFrequency (%)
True 711
71.1%
False 289
28.9%
2023-12-13T07:45:29.500164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PCSI_YN
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
829 
True
171 
ValueCountFrequency (%)
False 829
82.9%
True 171
 
17.1%
2023-12-13T07:45:29.593808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CREDITINFO_USE_YN
Boolean

MISSING 

Distinct2
Distinct (%)0.3%
Missing315
Missing (%)31.5%
Memory size2.1 KiB
True
559 
False
126 
(Missing)
315 
ValueCountFrequency (%)
True 559
55.9%
False 126
 
12.6%
(Missing) 315
31.5%
2023-12-13T07:45:29.677166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PCSI_2010_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2010_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2010_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2011_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2011_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2011_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2012_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2012_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2012_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2013_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2013_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2013_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

DM_YN_MAIL
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
917 
True
 
83
ValueCountFrequency (%)
False 917
91.7%
True 83
 
8.3%
2023-12-13T07:45:29.768008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DM_YN_EMAIL
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
994 
True
 
6
ValueCountFrequency (%)
False 994
99.4%
True 6
 
0.6%
2023-12-13T07:45:29.846627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DM_YN_SMS
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
622 
False
378 
ValueCountFrequency (%)
True 622
62.2%
False 378
37.8%
2023-12-13T07:45:29.921518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PCSI_2014_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2014_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2014_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2015_REJECT_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2015_YN
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PCSI_2015_ETC_CONT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

AMITY
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.2%
Missing357
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean7.0186625
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T07:45:30.017118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median7
Q38
95-th percentile10
Maximum10
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8736474
Coefficient of variation (CV)0.2669522
Kurtosis-0.7441854
Mean7.0186625
Median Absolute Deviation (MAD)1
Skewness-0.12404546
Sum4513
Variance3.5105546
MonotonicityNot monotonic
2023-12-13T07:45:30.136154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 166
16.6%
5 121
 
12.1%
6 99
 
9.9%
7 85
 
8.5%
10 84
 
8.4%
9 45
 
4.5%
3 26
 
2.6%
4 17
 
1.7%
(Missing) 357
35.7%
ValueCountFrequency (%)
3 26
 
2.6%
4 17
 
1.7%
5 121
12.1%
6 99
9.9%
7 85
8.5%
8 166
16.6%
9 45
 
4.5%
10 84
8.4%
ValueCountFrequency (%)
10 84
8.4%
9 45
 
4.5%
8 166
16.6%
7 85
8.5%
6 99
9.9%
5 121
12.1%
4 17
 
1.7%
3 26
 
2.6%

Sample

CUST_NOCTRL_BRCDDUTY_ENODUTY_TEAM_CDCOMPLT_STATE_DVCDREG_ENOREG_TSUPDT_ENOUPDT_TSGUARNT_SMS_YNSMS_YNDM_YNPCSI_YNCREDITINFO_USE_YNPCSI_2010_REJECT_CONTPCSI_2010_YNPCSI_2010_ETC_CONTPCSI_2011_REJECT_CONTPCSI_2011_YNPCSI_2011_ETC_CONTPCSI_2012_REJECT_CONTPCSI_2012_YNPCSI_2012_ETC_CONTPCSI_2013_REJECT_CONTPCSI_2013_YNPCSI_2013_ETC_CONTDM_YN_MAILDM_YN_EMAILDM_YN_SMSPCSI_2014_REJECT_CONTPCSI_2014_YNPCSI_2014_ETC_CONTPCSI_2015_REJECT_CONTPCSI_2015_YNPCSI_2015_ETC_CONTAMITY
0145259825TLA61022<NA>61022020/10/23 09:05:1161022020/10/23 09:05:11YYYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA><NA>
1145259809TLA61022<NA>61022020/10/23 09:05:1161022020/10/23 09:05:11YYYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA>5
2145252097TPB61942<NA>61942020/10/22 17:58:5561942020/10/22 17:58:55NYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>6
3145252738TPA61381<NA>61382020/10/22 17:52:5361382020/10/22 17:52:53YYYNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA><NA>
4145252657TPA61381<NA>61382020/10/22 17:52:5361382020/10/22 17:52:53YYYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA>10
5145231733TLB61042<NA>61042020/10/22 17:19:3861042020/10/22 17:19:38YYYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNY<NA><NA><NA><NA><NA><NA><NA>
6145231513TLB61042<NA>61042020/10/22 17:19:3861042020/10/22 17:19:38YYYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNY<NA><NA><NA><NA><NA><NA>5
7118772122THA75891<NA>75892020/10/22 17:03:4175892020/10/22 17:03:41YYNN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>10
8145250714TJB6180A<NA>61802020/10/22 16:59:3861802020/10/22 16:59:38YYYNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA>5
9145250798TPA75401<NA>75402020/10/22 16:56:2775402020/10/22 16:56:27YYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>10
CUST_NOCTRL_BRCDDUTY_ENODUTY_TEAM_CDCOMPLT_STATE_DVCDREG_ENOREG_TSUPDT_ENOUPDT_TSGUARNT_SMS_YNSMS_YNDM_YNPCSI_YNCREDITINFO_USE_YNPCSI_2010_REJECT_CONTPCSI_2010_YNPCSI_2010_ETC_CONTPCSI_2011_REJECT_CONTPCSI_2011_YNPCSI_2011_ETC_CONTPCSI_2012_REJECT_CONTPCSI_2012_YNPCSI_2012_ETC_CONTPCSI_2013_REJECT_CONTPCSI_2013_YNPCSI_2013_ETC_CONTDM_YN_MAILDM_YN_EMAILDM_YN_SMSPCSI_2014_REJECT_CONTPCSI_2014_YNPCSI_2014_ETC_CONTPCSI_2015_REJECT_CONTPCSI_2015_YNPCSI_2015_ETC_CONTAMITY
990144845586TPA19821<NA>75402020/10/06 13:18:2375402020/10/22 15:51:00YYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>10
991144845094TBA19382<NA>75362020/10/06 13:10:1175362020/10/14 15:19:26NYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA><NA>
992144845010TBA19382<NA>75362020/10/06 13:10:1175362020/10/14 15:19:26NYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>5
993144836045THA18791<NA>61422020/10/06 13:05:0161422020/10/12 14:54:22YYNYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA><NA>
994144835994THA18791<NA>61422020/10/06 13:05:0161422020/10/12 14:54:22YYNYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>6
995144844354TAA17991<NA>61112020/10/06 12:50:1561112020/10/20 10:26:10NYYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNY<NA><NA><NA><NA><NA><NA>5
996144841975TPA61371<NA>61372020/10/06 11:53:4061372020/10/06 11:53:40YYYNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNY<NA><NA><NA><NA><NA><NA>10
997144766393QAD16861<NA>62032020/10/06 09:29:0062032020/10/08 17:46:01YYYYY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>YNN<NA><NA><NA><NA><NA><NA>7
998144826291TPB61942<NA>61942020/10/05 17:48:1661942020/10/05 17:48:16NYNNY<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA><NA><NA><NA><NA><NA>6
999144825276TAD16501<NA>61092020/10/05 17:25:0661092020/10/16 14:23:12YYYN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNY<NA><NA><NA><NA><NA><NA><NA>