Overview

Dataset statistics

Number of variables7
Number of observations699
Missing cells148
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.0 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Alerts

연번 is highly overall correlated with 민원구분High correlation
민원구분 is highly overall correlated with 연번High correlation
업소주소우편번호 has 148 (21.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:24:37.611927
Analysis finished2024-01-09 20:24:38.404060
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct699
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350
Minimum1
Maximum699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-01-10T05:24:38.458965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.9
Q1175.5
median350
Q3524.5
95-th percentile664.1
Maximum699
Range698
Interquartile range (IQR)349

Descriptive statistics

Standard deviation201.92821
Coefficient of variation (CV)0.57693773
Kurtosis-1.2
Mean350
Median Absolute Deviation (MAD)175
Skewness0
Sum244650
Variance40775
MonotonicityStrictly increasing
2024-01-10T05:24:38.571730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
471 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
465 1
 
0.1%
466 1
 
0.1%
467 1
 
0.1%
468 1
 
0.1%
469 1
 
0.1%
470 1
 
0.1%
Other values (689) 689
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
699 1
0.1%
698 1
0.1%
697 1
0.1%
696 1
0.1%
695 1
0.1%
694 1
0.1%
693 1
0.1%
692 1
0.1%
691 1
0.1%
690 1
0.1%

민원구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
제7조의3제2항에따른경우
478 
184 
제7조의3제3항에따른경우
 
37

Length

Max length13
Median length13
Mean length9.8412017
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 478
68.4%
184
 
26.3%
제7조의3제3항에따른경우 37
 
5.3%

Length

2024-01-10T05:24:38.685037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:24:38.766774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 478
92.8%
제7조의3제3항에따른경우 37
 
7.2%

업소명
Text

Distinct675
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-01-10T05:24:38.979163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.0400572
Min length1

Characters and Unicode

Total characters5620
Distinct characters415
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664 ?
Unique (%)95.0%

Sample

1st rowGS25 당진제철점
2nd row지에스25당진명지점
3rd row씨유 당진호반써밋 1차점
4th row두원 당진 반품샵
5th row지에스25수청아린점
ValueCountFrequency (%)
세븐일레븐 54
 
5.3%
씨유 48
 
4.7%
gs25 36
 
3.5%
이마트24 28
 
2.7%
잡화상 13
 
1.3%
미니스톱 11
 
1.1%
지에스(gs)25 11
 
1.1%
지에스25 10
 
1.0%
슈퍼 8
 
0.8%
cu 8
 
0.8%
Other values (696) 793
77.7%
2024-01-10T05:24:39.386965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
5.8%
점 308
 
5.5%
당 285
 
5.1%
진 280
 
5.0%
마 150
 
2.7%
트 145
 
2.6%
2 127
 
2.3%
븐 123
 
2.2%
퍼 90
 
1.6%
5 87
 
1.5%
Other values (405) 3701
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4701
83.6%
Space Separator 324
 
5.8%
Decimal Number 254
 
4.5%
Uppercase Letter 207
 
3.7%
Close Punctuation 58
 
1.0%
Open Punctuation 58
 
1.0%
Lowercase Letter 9
 
0.2%
Other Punctuation 8
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 308
 
6.6%
당 285
 
6.1%
진 280
 
6.0%
마 150
 
3.2%
트 145
 
3.1%
븐 123
 
2.6%
퍼 90
 
1.9%
유 85
 
1.8%
슈 82
 
1.7%
지 82
 
1.7%
Other values (365) 3071
65.3%
Uppercase Letter
ValueCountFrequency (%)
S 67
32.4%
G 65
31.4%
C 21
 
10.1%
U 14
 
6.8%
O 6
 
2.9%
K 4
 
1.9%
I 4
 
1.9%
A 4
 
1.9%
D 3
 
1.4%
E 3
 
1.4%
Other values (9) 16
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 127
50.0%
5 87
34.3%
4 32
 
12.6%
1 4
 
1.6%
3 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
8 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
o 3
33.3%
k 1
 
11.1%
g 1
 
11.1%
e 1
 
11.1%
s 1
 
11.1%
l 1
 
11.1%
m 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
& 2
 
25.0%
Space Separator
ValueCountFrequency (%)
324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4701
83.6%
Common 703
 
12.5%
Latin 216
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 308
 
6.6%
당 285
 
6.1%
진 280
 
6.0%
마 150
 
3.2%
트 145
 
3.1%
븐 123
 
2.6%
퍼 90
 
1.9%
유 85
 
1.8%
슈 82
 
1.7%
지 82
 
1.7%
Other values (365) 3071
65.3%
Latin
ValueCountFrequency (%)
S 67
31.0%
G 65
30.1%
C 21
 
9.7%
U 14
 
6.5%
O 6
 
2.8%
K 4
 
1.9%
I 4
 
1.9%
A 4
 
1.9%
D 3
 
1.4%
o 3
 
1.4%
Other values (16) 25
 
11.6%
Common
ValueCountFrequency (%)
324
46.1%
2 127
 
18.1%
5 87
 
12.4%
) 58
 
8.3%
( 58
 
8.3%
4 32
 
4.6%
. 6
 
0.9%
1 4
 
0.6%
& 2
 
0.3%
3 1
 
0.1%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4701
83.6%
ASCII 919
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
35.3%
2 127
 
13.8%
5 87
 
9.5%
S 67
 
7.3%
G 65
 
7.1%
) 58
 
6.3%
( 58
 
6.3%
4 32
 
3.5%
C 21
 
2.3%
U 14
 
1.5%
Other values (30) 66
 
7.2%
Hangul
ValueCountFrequency (%)
점 308
 
6.6%
당 285
 
6.1%
진 280
 
6.0%
마 150
 
3.2%
트 145
 
3.1%
븐 123
 
2.6%
퍼 90
 
1.9%
유 85
 
1.8%
슈 82
 
1.7%
지 82
 
1.7%
Other values (365) 3071
65.3%

업소지번주소
Text

Distinct597
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-01-10T05:24:39.648823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length22.236052
Min length1

Characters and Unicode

Total characters15543
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique591 ?
Unique (%)84.5%

Sample

1st row충청남도 당진시 송악읍 고대리 167-136
2nd row충청남도 당진시 송악읍 반촌리 46-4
3rd row충청남도 당진시 수청동 1551 호반써밋 시그니처 1차
4th row충청남도 당진시 읍내동 420-11
5th row충청남도 당진시 수청동 1362
ValueCountFrequency (%)
충청남도 606
 
17.5%
당진시 457
 
13.2%
당진군 149
 
4.3%
송악읍 114
 
3.3%
읍내동 97
 
2.8%
석문면 67
 
1.9%
신평면 60
 
1.7%
합덕읍 56
 
1.6%
1호 48
 
1.4%
송산면 47
 
1.4%
Other values (884) 1767
51.0%
2024-01-10T05:24:40.014032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3084
19.8%
진 687
 
4.4%
당 682
 
4.4%
1 626
 
4.0%
도 623
 
4.0%
청 622
 
4.0%
남 612
 
3.9%
충 606
 
3.9%
시 497
 
3.2%
지 430
 
2.8%
Other values (290) 7074
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9672
62.2%
Space Separator 3084
 
19.8%
Decimal Number 2621
 
16.9%
Dash Punctuation 122
 
0.8%
Other Punctuation 14
 
0.1%
Uppercase Letter 10
 
0.1%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 687
 
7.1%
당 682
 
7.1%
도 623
 
6.4%
청 622
 
6.4%
남 612
 
6.3%
충 606
 
6.3%
시 497
 
5.1%
지 430
 
4.4%
리 426
 
4.4%
호 403
 
4.2%
Other values (265) 4084
42.2%
Decimal Number
ValueCountFrequency (%)
1 626
23.9%
2 326
12.4%
3 288
11.0%
5 242
 
9.2%
4 242
 
9.2%
6 216
 
8.2%
9 190
 
7.2%
8 173
 
6.6%
0 173
 
6.6%
7 145
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
20.0%
A 2
20.0%
B 2
20.0%
H 1
10.0%
L 1
10.0%
F 1
10.0%
S 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 12
85.7%
@ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
3084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9672
62.2%
Common 5860
37.7%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 687
 
7.1%
당 682
 
7.1%
도 623
 
6.4%
청 622
 
6.4%
남 612
 
6.3%
충 606
 
6.3%
시 497
 
5.1%
지 430
 
4.4%
리 426
 
4.4%
호 403
 
4.2%
Other values (265) 4084
42.2%
Common
ValueCountFrequency (%)
3084
52.6%
1 626
 
10.7%
2 326
 
5.6%
3 288
 
4.9%
5 242
 
4.1%
4 242
 
4.1%
6 216
 
3.7%
9 190
 
3.2%
8 173
 
3.0%
0 173
 
3.0%
Other values (7) 300
 
5.1%
Latin
ValueCountFrequency (%)
G 2
18.2%
A 2
18.2%
B 2
18.2%
H 1
9.1%
L 1
9.1%
s 1
9.1%
F 1
9.1%
S 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9672
62.2%
ASCII 5871
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3084
52.5%
1 626
 
10.7%
2 326
 
5.6%
3 288
 
4.9%
5 242
 
4.1%
4 242
 
4.1%
6 216
 
3.7%
9 190
 
3.2%
8 173
 
2.9%
0 173
 
2.9%
Other values (15) 311
 
5.3%
Hangul
ValueCountFrequency (%)
진 687
 
7.1%
당 682
 
7.1%
도 623
 
6.4%
청 622
 
6.4%
남 612
 
6.3%
충 606
 
6.3%
시 497
 
5.1%
지 430
 
4.4%
리 426
 
4.4%
호 403
 
4.2%
Other values (265) 4084
42.2%

업소도로명주소
Text

Distinct645
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-01-10T05:24:40.276561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length25.266094
Min length1

Characters and Unicode

Total characters17661
Distinct characters354
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)91.7%

Sample

1st row충청남도 당진시 송악읍 대섬길 4-5
2nd row충청남도 당진시 송악읍 반촌로 288-1
3rd row충청남도 당진시 수청3로 20. 116동 103. 104호 (수청동. 호반써밋 시그니처 1차)
4th row충청남도 당진시 서해로 5740-6 (읍내동)
5th row충청남도 당진시 수청1길 47. 106호 (수청동)
ValueCountFrequency (%)
충청남도 647
 
17.2%
당진시 644
 
17.1%
송악읍 131
 
3.5%
읍내동 103
 
2.7%
석문면 72
 
1.9%
1층 68
 
1.8%
신평면 63
 
1.7%
합덕읍 55
 
1.5%
송산면 50
 
1.3%
101호 28
 
0.7%
Other values (1008) 1908
50.6%
2024-01-10T05:24:40.692320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3185
 
18.0%
1 773
 
4.4%
당 762
 
4.3%
진 741
 
4.2%
시 708
 
4.0%
청 682
 
3.9%
남 657
 
3.7%
도 652
 
3.7%
충 647
 
3.7%
로 456
 
2.6%
Other values (344) 8398
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10543
59.7%
Space Separator 3185
 
18.0%
Decimal Number 2835
 
16.1%
Other Punctuation 336
 
1.9%
Open Punctuation 273
 
1.5%
Close Punctuation 273
 
1.5%
Dash Punctuation 178
 
1.0%
Uppercase Letter 28
 
0.2%
Math Symbol 7
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 762
 
7.2%
진 741
 
7.0%
시 708
 
6.7%
청 682
 
6.5%
남 657
 
6.2%
도 652
 
6.2%
충 647
 
6.1%
로 456
 
4.3%
동 322
 
3.1%
읍 292
 
2.8%
Other values (314) 4624
43.9%
Uppercase Letter
ValueCountFrequency (%)
B 8
28.6%
A 4
14.3%
G 3
 
10.7%
L 3
 
10.7%
H 2
 
7.1%
C 2
 
7.1%
M 2
 
7.1%
T 1
 
3.6%
K 1
 
3.6%
F 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 773
27.3%
2 392
13.8%
0 309
 
10.9%
3 289
 
10.2%
4 214
 
7.5%
5 190
 
6.7%
7 182
 
6.4%
6 172
 
6.1%
9 162
 
5.7%
8 152
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
3185
100.0%
Other Punctuation
ValueCountFrequency (%)
. 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10543
59.7%
Common 7087
40.1%
Latin 31
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 762
 
7.2%
진 741
 
7.0%
시 708
 
6.7%
청 682
 
6.5%
남 657
 
6.2%
도 652
 
6.2%
충 647
 
6.1%
로 456
 
4.3%
동 322
 
3.1%
읍 292
 
2.8%
Other values (314) 4624
43.9%
Common
ValueCountFrequency (%)
3185
44.9%
1 773
 
10.9%
2 392
 
5.5%
. 336
 
4.7%
0 309
 
4.4%
3 289
 
4.1%
( 273
 
3.9%
) 273
 
3.9%
4 214
 
3.0%
5 190
 
2.7%
Other values (6) 853
 
12.0%
Latin
ValueCountFrequency (%)
B 8
25.8%
A 4
12.9%
G 3
 
9.7%
L 3
 
9.7%
H 2
 
6.5%
C 2
 
6.5%
M 2
 
6.5%
e 1
 
3.2%
c 1
 
3.2%
T 1
 
3.2%
Other values (4) 4
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10543
59.7%
ASCII 7118
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3185
44.7%
1 773
 
10.9%
2 392
 
5.5%
. 336
 
4.7%
0 309
 
4.3%
3 289
 
4.1%
( 273
 
3.8%
) 273
 
3.8%
4 214
 
3.0%
5 190
 
2.7%
Other values (20) 884
 
12.4%
Hangul
ValueCountFrequency (%)
당 762
 
7.2%
진 741
 
7.0%
시 708
 
6.7%
청 682
 
6.5%
남 657
 
6.2%
도 652
 
6.2%
충 647
 
6.1%
로 456
 
4.3%
동 322
 
3.1%
읍 292
 
2.8%
Other values (314) 4624
43.9%

업소주소우편번호
Text

MISSING 

Distinct144
Distinct (%)26.1%
Missing148
Missing (%)21.2%
Memory size5.6 KiB
2024-01-10T05:24:40.927146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.569873
Min length5

Characters and Unicode

Total characters3069
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)7.6%

Sample

1st row31726
2nd row31737
3rd row31817
4th row31769
5th row31817
ValueCountFrequency (%)
31724 15
 
2.7%
31777 15
 
2.7%
31733 14
 
2.5%
31776 14
 
2.5%
31811 13
 
2.4%
31711 13
 
2.4%
31768 12
 
2.2%
31769 11
 
2.0%
31748 11
 
2.0%
31700 11
 
2.0%
Other values (134) 422
76.6%
2024-01-10T05:24:41.296089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 808
26.3%
1 560
18.2%
7 475
15.5%
4 262
 
8.5%
0 203
 
6.6%
8 201
 
6.5%
- 157
 
5.1%
2 147
 
4.8%
6 97
 
3.2%
9 92
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2912
94.9%
Dash Punctuation 157
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 808
27.7%
1 560
19.2%
7 475
16.3%
4 262
 
9.0%
0 203
 
7.0%
8 201
 
6.9%
2 147
 
5.0%
6 97
 
3.3%
9 92
 
3.2%
5 67
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 808
26.3%
1 560
18.2%
7 475
15.5%
4 262
 
8.5%
0 203
 
6.6%
8 201
 
6.5%
- 157
 
5.1%
2 147
 
4.8%
6 97
 
3.2%
9 92
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 808
26.3%
1 560
18.2%
7 475
15.5%
4 262
 
8.5%
0 203
 
6.6%
8 201
 
6.5%
- 157
 
5.1%
2 147
 
4.8%
6 97
 
3.2%
9 92
 
3.0%

지정일자
Date

Distinct604
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum1966-04-08 00:00:00
Maximum2023-03-14 00:00:00
2024-01-10T05:24:41.418120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:24:41.532617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T05:24:38.171286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:24:41.630534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.769
민원구분0.7691.000
2024-01-10T05:24:41.736346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번민원구분
연번1.0000.643
민원구분0.6431.000

Missing values

2024-01-10T05:24:38.273808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:24:38.365920image/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

연번민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자
01제7조의3제2항에따른경우GS25 당진제철점충청남도 당진시 송악읍 고대리 167-136충청남도 당진시 송악읍 대섬길 4-5317262023-03-14
12제7조의3제2항에따른경우지에스25당진명지점충청남도 당진시 송악읍 반촌리 46-4충청남도 당진시 송악읍 반촌로 288-1317372023-02-22
23제7조의3제2항에따른경우씨유 당진호반써밋 1차점충청남도 당진시 수청동 1551 호반써밋 시그니처 1차충청남도 당진시 수청3로 20. 116동 103. 104호 (수청동. 호반써밋 시그니처 1차)318172023-02-21
34제7조의3제2항에따른경우두원 당진 반품샵충청남도 당진시 읍내동 420-11충청남도 당진시 서해로 5740-6 (읍내동)317692023-02-16
45제7조의3제2항에따른경우지에스25수청아린점충청남도 당진시 수청동 1362충청남도 당진시 수청1길 47. 106호 (수청동)318172023-02-15
56제7조의3제2항에따른경우지에스25석문센트럴점충청남도 당진시 석문면 통정리 1461충청남도 당진시 석문면 산단7로 94-9. 106.107호317022023-02-10
67제7조의3제2항에따른경우동우낚시편의점충청남도 당진시 신평면 매산리 81-3 낚시편의점충청남도 당진시 신평면 북부산업로 431. 낚시편의점317432023-02-08
78제7조의3제2항에따른경우해안로또복권점충청남도 당진시 송악읍 중흥리 365충청남도 당진시 송악읍 송악로 620-31317282023-02-03
89제7조의3제2항에따른경우세븐일레븐 당진송산유곡점충청남도 당진시 송산면 유곡리 1055충청남도 당진시 송산면 서정9길 14317102023-01-26
910제7조의3제2항에따른경우에덴옷맞춤충청남도 당진시 읍내동 145-54충청남도 당진시 당진시장북길 62 (읍내동)317772023-01-25
연번민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자
689690장항리정유소충청남도 당진군 고대면 성산리 100호<NA>1981-01-23
690691우강상회충청남도 당진군 우강면 창리 231호<NA>1980-12-08
691692잡화상충청남도 당진군 면천면 성상리 897호<NA>1972-08-07
692693구룡정류소충청남도 당진시 구룡동 901번지충청남도 당진시 역천로 157 (구룡동)343-0201978-02-01
693694다정상회충청남도 당진시 합덕읍 운산리 3번지 14호충청남도 당진시 합덕읍 덕평로 514343-9071971-01-16
694695일교문구센터. 그린오피스충청남도 당진시 읍내동 12통충청남도 당진시 당진중앙1로 15317691986-08-28
695696영마트충청남도 당진시 순성면 봉소리 879번지 7호 2통317571980-07-01
696697문봉슈퍼충청남도 당진시 면천면 문봉리 544번지 7호 문봉슈퍼충청남도 당진시 면천면 면천로 985. 문봉슈퍼317611987-03-23
697698잡화상충청남도 당진시 합덕읍 운산리 264번지<NA>1983-11-29
698699매산연쇄점충청남도 당진군 신평면 매산리 190호충청남도 당진시 신평면 샛터로 392-13<NA>1966-04-08