Overview

Dataset statistics

Number of variables19
Number of observations365
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.4 KiB
Average record size in memory169.4 B

Variable types

DateTime1
Categorical14
Numeric4

Dataset

Description화성시 세외수입 가상계좌 시스템의 정보입니다. 거래일자, 기관코드, 정상입금건수, 정상입금금액, 취소입금건수, 취소입금금액, 은행코드, 정상송금건수, 정상송금금액, 취소송금건수, 취소송금금액, 세틀정상입금건수, 세틀정상입금금액, 세틀취소입금건수, 세틀취소입금금액, 세틀정상송금건수, 세틀송금건수, 세틀송금금액으로 이루어져있습니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15093341/fileData.do

Alerts

기관코드 has constant value ""Constant
취소입금건수 has constant value ""Constant
취소입금금액 has constant value ""Constant
은행코드 has constant value ""Constant
정상송금건수 has constant value ""Constant
정상송금금액 has constant value ""Constant
취소송금건수 has constant value ""Constant
취소송금긍액 has constant value ""Constant
세틀취소입금건수 has constant value ""Constant
세틀취소입금금액 has constant value ""Constant
세틀정상송금건수 has constant value ""Constant
세틀정상송금금액 has constant value ""Constant
세틀송금건수 has constant value ""Constant
세틀송금금액 has constant value ""Constant
정상입금건수 is highly overall correlated with 정상입금금액 and 2 other fieldsHigh correlation
정상입금금액 is highly overall correlated with 정상입금건수 and 2 other fieldsHigh correlation
세틀정상입금건수 is highly overall correlated with 정상입금건수 and 2 other fieldsHigh correlation
세틀정상입금금액 is highly overall correlated with 정상입금건수 and 2 other fieldsHigh correlation
거래일자 has unique valuesUnique
정상입금금액 has unique valuesUnique
세틀정상입금금액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:54:50.006189
Analysis finished2023-12-12 19:54:52.267956
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거래일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2020-09-23 00:00:00
Maximum2021-09-22 00:00:00
2023-12-13T04:54:52.377226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:52.587766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
20002107
365 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20002107
2nd row20002107
3rd row20002107
4th row20002107
5th row20002107

Common Values

ValueCountFrequency (%)
20002107 365
100.0%

Length

2023-12-13T04:54:52.779446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:52.900931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20002107 365
100.0%

정상입금건수
Real number (ℝ)

HIGH CORRELATION 

Distinct201
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.0137
Minimum9
Maximum875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T04:54:53.058643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q149
median140
Q3193
95-th percentile353.2
Maximum875
Range866
Interquartile range (IQR)144

Descriptive statistics

Standard deviation121.75255
Coefficient of variation (CV)0.82257624
Kurtosis8.0525335
Mean148.0137
Median Absolute Deviation (MAD)71
Skewness2.1831668
Sum54025
Variance14823.684
MonotonicityNot monotonic
2023-12-13T04:54:53.244048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153 6
 
1.6%
23 5
 
1.4%
147 5
 
1.4%
245 5
 
1.4%
35 5
 
1.4%
142 4
 
1.1%
167 4
 
1.1%
152 4
 
1.1%
24 4
 
1.1%
176 4
 
1.1%
Other values (191) 319
87.4%
ValueCountFrequency (%)
9 2
0.5%
12 2
0.5%
13 3
0.8%
14 3
0.8%
15 3
0.8%
16 2
0.5%
17 1
 
0.3%
18 2
0.5%
19 2
0.5%
20 3
0.8%
ValueCountFrequency (%)
875 1
0.3%
846 1
0.3%
662 1
0.3%
611 1
0.3%
579 1
0.3%
571 1
0.3%
570 1
0.3%
550 1
0.3%
534 1
0.3%
510 1
0.3%

정상입금금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6778486 × 108
Minimum481550
Maximum8.6605149 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T04:54:53.418334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum481550
5-th percentile1600304
Q16594620
median50648352
Q31.2612351 × 108
95-th percentile5.0571125 × 108
Maximum8.6605149 × 109
Range8.6600334 × 109
Interquartile range (IQR)1.1952889 × 108

Descriptive statistics

Standard deviation5.9777197 × 108
Coefficient of variation (CV)3.562729
Kurtosis124.70234
Mean1.6778486 × 108
Median Absolute Deviation (MAD)45334792
Skewness10.146588
Sum6.1241473 × 1010
Variance3.5733133 × 1017
MonotonicityNot monotonic
2023-12-13T04:54:53.618756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3525900 1
 
0.3%
82981530 1
 
0.3%
3693380 1
 
0.3%
2078350 1
 
0.3%
132462520 1
 
0.3%
91435620 1
 
0.3%
84496760 1
 
0.3%
87308200 1
 
0.3%
216991510 1
 
0.3%
4350690 1
 
0.3%
Other values (355) 355
97.3%
ValueCountFrequency (%)
481550 1
0.3%
744260 1
0.3%
887400 1
0.3%
924200 1
0.3%
998000 1
0.3%
1058450 1
0.3%
1095660 1
0.3%
1101130 1
0.3%
1132400 1
0.3%
1140630 1
0.3%
ValueCountFrequency (%)
8660514920 1
0.3%
4354874670 1
0.3%
4051923610 1
0.3%
3096276360 1
0.3%
2393730420 1
0.3%
1343767940 1
0.3%
1177930100 1
0.3%
858566770 1
0.3%
854994490 1
0.3%
798381280 1
0.3%

취소입금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:53.814228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:53.961081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

취소입금금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:54.128991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:54.268732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

은행코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<011>
365 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<011>
2nd row<011>
3rd row<011>
4th row<011>
5th row<011>

Common Values

ValueCountFrequency (%)
<011> 365
100.0%

Length

2023-12-13T04:54:54.403877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:54.542580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
011 365
100.0%

정상송금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:54.677747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:54.810369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

정상송금금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:54.938402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:55.073188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

취소송금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:55.173894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:55.262573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

취소송금긍액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:55.654429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:55.751753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀정상입금건수
Real number (ℝ)

HIGH CORRELATION 

Distinct201
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.0137
Minimum9
Maximum875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T04:54:55.877491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q149
median140
Q3193
95-th percentile353.2
Maximum875
Range866
Interquartile range (IQR)144

Descriptive statistics

Standard deviation121.75255
Coefficient of variation (CV)0.82257624
Kurtosis8.0525335
Mean148.0137
Median Absolute Deviation (MAD)71
Skewness2.1831668
Sum54025
Variance14823.684
MonotonicityNot monotonic
2023-12-13T04:54:56.013037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153 6
 
1.6%
23 5
 
1.4%
147 5
 
1.4%
245 5
 
1.4%
35 5
 
1.4%
142 4
 
1.1%
167 4
 
1.1%
152 4
 
1.1%
24 4
 
1.1%
176 4
 
1.1%
Other values (191) 319
87.4%
ValueCountFrequency (%)
9 2
0.5%
12 2
0.5%
13 3
0.8%
14 3
0.8%
15 3
0.8%
16 2
0.5%
17 1
 
0.3%
18 2
0.5%
19 2
0.5%
20 3
0.8%
ValueCountFrequency (%)
875 1
0.3%
846 1
0.3%
662 1
0.3%
611 1
0.3%
579 1
0.3%
571 1
0.3%
570 1
0.3%
550 1
0.3%
534 1
0.3%
510 1
0.3%

세틀정상입금금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6778486 × 108
Minimum481550
Maximum8.6605149 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T04:54:56.195630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum481550
5-th percentile1600304
Q16594620
median50648352
Q31.2612351 × 108
95-th percentile5.0571125 × 108
Maximum8.6605149 × 109
Range8.6600334 × 109
Interquartile range (IQR)1.1952889 × 108

Descriptive statistics

Standard deviation5.9777197 × 108
Coefficient of variation (CV)3.562729
Kurtosis124.70234
Mean1.6778486 × 108
Median Absolute Deviation (MAD)45334792
Skewness10.146588
Sum6.1241473 × 1010
Variance3.5733133 × 1017
MonotonicityNot monotonic
2023-12-13T04:54:56.341848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3525900 1
 
0.3%
82981530 1
 
0.3%
3693380 1
 
0.3%
2078350 1
 
0.3%
132462520 1
 
0.3%
91435620 1
 
0.3%
84496760 1
 
0.3%
87308200 1
 
0.3%
216991510 1
 
0.3%
4350690 1
 
0.3%
Other values (355) 355
97.3%
ValueCountFrequency (%)
481550 1
0.3%
744260 1
0.3%
887400 1
0.3%
924200 1
0.3%
998000 1
0.3%
1058450 1
0.3%
1095660 1
0.3%
1101130 1
0.3%
1132400 1
0.3%
1140630 1
0.3%
ValueCountFrequency (%)
8660514920 1
0.3%
4354874670 1
0.3%
4051923610 1
0.3%
3096276360 1
0.3%
2393730420 1
0.3%
1343767940 1
0.3%
1177930100 1
0.3%
858566770 1
0.3%
854994490 1
0.3%
798381280 1
0.3%

세틀취소입금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:56.486248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:56.601503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀취소입금금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:56.704479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:56.820194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀정상송금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:56.930910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:57.034250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀정상송금금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:57.141453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:57.240273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀송금건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:57.461380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:57.587256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

세틀송금금액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 

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 (%)
0 365
100.0%

Length

2023-12-13T04:54:57.709550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:57.828327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
100.0%

Interactions

2023-12-13T04:54:51.376827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.245323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.647469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.000623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.486349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.352020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.744398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.099124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.562085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.453653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.837225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.193791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.671770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.554509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:50.918094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:51.288166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:54:57.920369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정상입금건수정상입금금액세틀정상입금건수세틀정상입금금액
정상입금건수1.0000.4091.0000.409
정상입금금액0.4091.0000.4091.000
세틀정상입금건수1.0000.4091.0000.409
세틀정상입금금액0.4091.0000.4091.000
2023-12-13T04:54:58.069460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정상입금건수정상입금금액세틀정상입금건수세틀정상입금금액
정상입금건수1.0000.7951.0000.795
정상입금금액0.7951.0000.7951.000
세틀정상입금건수1.0000.7951.0000.795
세틀정상입금금액0.7951.0000.7951.000

Missing values

2023-12-13T04:54:51.857186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:54:52.147347image/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

거래일자기관코드정상입금건수정상입금금액취소입금건수취소입금금액은행코드정상송금건수정상송금금액취소송금건수취소송금긍액세틀정상입금건수세틀정상입금금액세틀취소입금건수세틀취소입금금액세틀정상송금건수세틀정상송금금액세틀송금건수세틀송금금액
02021-09-222000210752352590000<011>0000523525900000000
12021-09-2120002107948155000<011>00009481550000000
22021-09-202000210723110113000<011>0000231101130000000
32021-09-192000210734659462000<011>0000346594620000000
42021-09-182000210757616173000<011>0000576161730000000
52021-09-172000210721814325719000<011>0000218143257190000000
62021-09-16200021071724991895000<011>000017249918950000000
72021-09-152000210717415021090000<011>0000174150210900000000
82021-09-14200021071314108781000<011>000013141087810000000
92021-09-132000210711820791426000<011>0000118207914260000000
거래일자기관코드정상입금건수정상입금금액취소입금건수취소입금금액은행코드정상송금건수정상송금금액취소송금건수취소송금긍액세틀정상입금건수세틀정상입금금액세틀취소입금건수세틀취소입금금액세틀정상송금건수세틀정상송금금액세틀송금건수세틀송금금액
3552020-10-022000210720115998000<011>0000201159980000000
3562020-10-012000210715171425000<011>0000151714250000000
3572020-09-302000210748638312000<011>0000486383120000000
3582020-09-292000210737454943639000<011>0000374549436390000000
3592020-09-28200021072588593625000<011>000025885936250000000
3602020-09-272000210741695510000<011>0000416955100000000
3612020-09-262000210748616034000<011>0000486160340000000
3622020-09-252000210723515406980000<011>0000235154069800000000
3632020-09-242000210716761683431000<011>0000167616834310000000
3642020-09-232000210715611661558000<011>0000156116615580000000