Overview

Dataset statistics

Number of variables9
Number of observations4034
Missing cells32
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory283.8 KiB
Average record size in memory72.0 B

Variable types

Categorical4
DateTime2
Text3

Dataset

Description경상남도 거제시 식품위생업소 현황(업종명, 업소명, 인허가일자, 영업자시작일, 주소, 전화번호, 급수시설, 업태명, 좌표, 데이터기준일)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079230

Alerts

업종명 has constant value ""Constant
영업상태 has constant value ""Constant
데이터기준일 has constant value ""Constant
급수시설 is highly imbalanced (83.3%)Imbalance

Reproduction

Analysis started2023-12-10 23:51:35.631256
Analysis finished2023-12-10 23:51:36.946673
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
일반음식점
4034 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4034
100.0%

Length

2023-12-11T08:51:37.009733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:37.092152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4034
100.0%
Distinct2806
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
Minimum1970-07-08 00:00:00
Maximum2018-08-03 00:00:00
2023-12-11T08:51:37.230262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:37.381040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3866
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
2023-12-11T08:51:37.742074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length6.2952405
Min length1

Characters and Unicode

Total characters25395
Distinct characters849
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3722 ?
Unique (%)92.3%

Sample

1st row천화원
2nd row해중식당
3rd row만리향
4th row연화횟집
5th row부산횟집
ValueCountFrequency (%)
옥포점 34
 
0.7%
장평점 31
 
0.7%
거제점 29
 
0.6%
고현점 28
 
0.6%
거제고현점 26
 
0.6%
아주점 22
 
0.5%
수월점 16
 
0.3%
거제아주점 13
 
0.3%
장승포점 13
 
0.3%
상동점 13
 
0.3%
Other values (3976) 4392
95.1%
2023-12-11T08:51:38.310010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
843
 
3.3%
585
 
2.3%
) 518
 
2.0%
( 518
 
2.0%
472
 
1.9%
457
 
1.8%
411
 
1.6%
398
 
1.6%
383
 
1.5%
348
 
1.4%
Other values (839) 20462
80.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22512
88.6%
Space Separator 585
 
2.3%
Close Punctuation 518
 
2.0%
Open Punctuation 518
 
2.0%
Lowercase Letter 451
 
1.8%
Uppercase Letter 435
 
1.7%
Decimal Number 258
 
1.0%
Other Punctuation 114
 
0.4%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
843
 
3.7%
472
 
2.1%
457
 
2.0%
411
 
1.8%
398
 
1.8%
383
 
1.7%
348
 
1.5%
338
 
1.5%
326
 
1.4%
295
 
1.3%
Other values (765) 18241
81.0%
Uppercase Letter
ValueCountFrequency (%)
C 42
 
9.7%
O 42
 
9.7%
B 39
 
9.0%
A 38
 
8.7%
E 35
 
8.0%
H 28
 
6.4%
T 27
 
6.2%
L 24
 
5.5%
S 21
 
4.8%
N 17
 
3.9%
Other values (16) 122
28.0%
Lowercase Letter
ValueCountFrequency (%)
a 56
12.4%
e 52
 
11.5%
o 42
 
9.3%
r 36
 
8.0%
n 27
 
6.0%
t 23
 
5.1%
i 23
 
5.1%
h 23
 
5.1%
l 19
 
4.2%
u 19
 
4.2%
Other values (14) 131
29.0%
Other Punctuation
ValueCountFrequency (%)
& 57
50.0%
. 35
30.7%
, 7
 
6.1%
' 4
 
3.5%
! 3
 
2.6%
? 3
 
2.6%
· 2
 
1.8%
: 1
 
0.9%
% 1
 
0.9%
# 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 53
20.5%
0 45
17.4%
2 42
16.3%
5 21
 
8.1%
8 21
 
8.1%
7 20
 
7.8%
9 18
 
7.0%
6 17
 
6.6%
4 13
 
5.0%
3 8
 
3.1%
Space Separator
ValueCountFrequency (%)
585
100.0%
Close Punctuation
ValueCountFrequency (%)
) 518
100.0%
Open Punctuation
ValueCountFrequency (%)
( 518
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22496
88.6%
Common 1997
 
7.9%
Latin 886
 
3.5%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
843
 
3.7%
472
 
2.1%
457
 
2.0%
411
 
1.8%
398
 
1.8%
383
 
1.7%
348
 
1.5%
338
 
1.5%
326
 
1.4%
295
 
1.3%
Other values (752) 18225
81.0%
Latin
ValueCountFrequency (%)
a 56
 
6.3%
e 52
 
5.9%
C 42
 
4.7%
o 42
 
4.7%
O 42
 
4.7%
B 39
 
4.4%
A 38
 
4.3%
r 36
 
4.1%
E 35
 
4.0%
H 28
 
3.2%
Other values (40) 476
53.7%
Common
ValueCountFrequency (%)
585
29.3%
) 518
25.9%
( 518
25.9%
& 57
 
2.9%
1 53
 
2.7%
0 45
 
2.3%
2 42
 
2.1%
. 35
 
1.8%
5 21
 
1.1%
8 21
 
1.1%
Other values (14) 102
 
5.1%
Han
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22496
88.6%
ASCII 2881
 
11.3%
CJK 16
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
843
 
3.7%
472
 
2.1%
457
 
2.0%
411
 
1.8%
398
 
1.8%
383
 
1.7%
348
 
1.5%
338
 
1.5%
326
 
1.4%
295
 
1.3%
Other values (752) 18225
81.0%
ASCII
ValueCountFrequency (%)
585
20.3%
) 518
18.0%
( 518
18.0%
& 57
 
2.0%
a 56
 
1.9%
1 53
 
1.8%
e 52
 
1.8%
0 45
 
1.6%
C 42
 
1.5%
o 42
 
1.5%
Other values (63) 913
31.7%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
2
12.5%
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (3) 3
18.8%
Distinct3734
Distinct (%)93.3%
Missing32
Missing (%)0.8%
Memory size31.6 KiB
2023-12-11T08:51:38.653151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length56
Mean length28.396052
Min length18

Characters and Unicode

Total characters113641
Distinct characters321
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3504 ?
Unique (%)87.6%

Sample

1st row경상남도 거제시 신부로 2-4 (장승포동)
2nd row경상남도 거제시 신부로1길 6 (장승포동)
3rd row경상남도 거제시 일운면 지세포로 96-1
4th row경상남도 거제시 일운면 구조라로 38
5th row경상남도 거제시 일운면 구조라로 36
ValueCountFrequency (%)
경상남도 4002
 
17.2%
거제시 4002
 
17.2%
1층 1508
 
6.5%
고현동 678
 
2.9%
옥포동 479
 
2.1%
장평동 347
 
1.5%
아주동 261
 
1.1%
2층 234
 
1.0%
일운면 204
 
0.9%
사등면 176
 
0.8%
Other values (2151) 11421
49.0%
2023-12-11T08:51:39.436093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19312
 
17.0%
1 6422
 
5.7%
4888
 
4.3%
4861
 
4.3%
4397
 
3.9%
) 4194
 
3.7%
( 4194
 
3.7%
4160
 
3.7%
4076
 
3.6%
4034
 
3.5%
Other values (311) 53103
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63313
55.7%
Space Separator 19312
 
17.0%
Decimal Number 18391
 
16.2%
Close Punctuation 4194
 
3.7%
Open Punctuation 4194
 
3.7%
Other Punctuation 3194
 
2.8%
Dash Punctuation 915
 
0.8%
Uppercase Letter 87
 
0.1%
Math Symbol 32
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4888
 
7.7%
4861
 
7.7%
4397
 
6.9%
4160
 
6.6%
4076
 
6.4%
4034
 
6.4%
4008
 
6.3%
3912
 
6.2%
3522
 
5.6%
2483
 
3.9%
Other values (283) 22972
36.3%
Decimal Number
ValueCountFrequency (%)
1 6422
34.9%
2 2777
15.1%
3 1841
 
10.0%
4 1440
 
7.8%
0 1344
 
7.3%
5 1193
 
6.5%
6 1021
 
5.6%
7 822
 
4.5%
8 799
 
4.3%
9 732
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 45
51.7%
A 30
34.5%
C 6
 
6.9%
D 3
 
3.4%
J 2
 
2.3%
G 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 3167
99.2%
. 24
 
0.8%
@ 2
 
0.1%
/ 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
19312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 915
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63313
55.7%
Common 50232
44.2%
Latin 96
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4888
 
7.7%
4861
 
7.7%
4397
 
6.9%
4160
 
6.6%
4076
 
6.4%
4034
 
6.4%
4008
 
6.3%
3912
 
6.2%
3522
 
5.6%
2483
 
3.9%
Other values (283) 22972
36.3%
Common
ValueCountFrequency (%)
19312
38.4%
1 6422
 
12.8%
) 4194
 
8.3%
( 4194
 
8.3%
, 3167
 
6.3%
2 2777
 
5.5%
3 1841
 
3.7%
4 1440
 
2.9%
0 1344
 
2.7%
5 1193
 
2.4%
Other values (9) 4348
 
8.7%
Latin
ValueCountFrequency (%)
B 45
46.9%
A 30
31.2%
e 7
 
7.3%
C 6
 
6.2%
D 3
 
3.1%
J 2
 
2.1%
1
 
1.0%
c 1
 
1.0%
G 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63313
55.7%
ASCII 50327
44.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19312
38.4%
1 6422
 
12.8%
) 4194
 
8.3%
( 4194
 
8.3%
, 3167
 
6.3%
2 2777
 
5.5%
3 1841
 
3.7%
4 1440
 
2.9%
0 1344
 
2.7%
5 1193
 
2.4%
Other values (17) 4443
 
8.8%
Hangul
ValueCountFrequency (%)
4888
 
7.7%
4861
 
7.7%
4397
 
6.9%
4160
 
6.6%
4076
 
6.4%
4034
 
6.4%
4008
 
6.3%
3912
 
6.2%
3522
 
5.6%
2483
 
3.9%
Other values (283) 22972
36.3%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct3586
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
2023-12-11T08:51:39.808405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length57
Mean length26.984383
Min length4

Characters and Unicode

Total characters108855
Distinct characters292
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3257 ?
Unique (%)80.7%

Sample

1st row경상남도 거제시 장승포동 232번지 29호
2nd row경상남도 거제시 장승포동 283번지 18호
3rd row경상남도 거제시 일운면 지세포리 935번지 3호
4th row경상남도 거제시 일운면 구조라리 81번지
5th row경상남도 거제시 일운면 구조라리 80번지
ValueCountFrequency (%)
경상남도 4028
 
17.6%
거제시 4028
 
17.6%
1층 953
 
4.2%
고현동 920
 
4.0%
옥포동 656
 
2.9%
장평동 509
 
2.2%
1호 469
 
2.0%
2호 366
 
1.6%
아주동 292
 
1.3%
3호 276
 
1.2%
Other values (1844) 10438
45.5%
2023-12-11T08:51:40.304037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24905
22.9%
1 5670
 
5.2%
4351
 
4.0%
4316
 
4.0%
4183
 
3.8%
4175
 
3.8%
4135
 
3.8%
4122
 
3.8%
4085
 
3.8%
4031
 
3.7%
Other values (282) 44882
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60414
55.5%
Space Separator 24905
22.9%
Decimal Number 20938
 
19.2%
Close Punctuation 1145
 
1.1%
Open Punctuation 1143
 
1.1%
Other Punctuation 138
 
0.1%
Dash Punctuation 71
 
0.1%
Uppercase Letter 68
 
0.1%
Math Symbol 26
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4351
 
7.2%
4316
 
7.1%
4183
 
6.9%
4175
 
6.9%
4135
 
6.8%
4122
 
6.8%
4085
 
6.8%
4031
 
6.7%
4028
 
6.7%
3910
 
6.5%
Other values (253) 19078
31.6%
Decimal Number
ValueCountFrequency (%)
1 5670
27.1%
2 2391
11.4%
0 1865
 
8.9%
3 1859
 
8.9%
9 1823
 
8.7%
5 1642
 
7.8%
4 1642
 
7.8%
6 1593
 
7.6%
7 1263
 
6.0%
8 1190
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 36
52.9%
A 15
22.1%
L 6
 
8.8%
C 6
 
8.8%
J 2
 
2.9%
G 1
 
1.5%
F 1
 
1.5%
D 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 108
78.3%
. 27
 
19.6%
@ 2
 
1.4%
/ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
24905
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60414
55.5%
Common 48366
44.4%
Latin 75
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4351
 
7.2%
4316
 
7.1%
4183
 
6.9%
4175
 
6.9%
4135
 
6.8%
4122
 
6.8%
4085
 
6.8%
4031
 
6.7%
4028
 
6.7%
3910
 
6.5%
Other values (253) 19078
31.6%
Common
ValueCountFrequency (%)
24905
51.5%
1 5670
 
11.7%
2 2391
 
4.9%
0 1865
 
3.9%
3 1859
 
3.8%
9 1823
 
3.8%
5 1642
 
3.4%
4 1642
 
3.4%
6 1593
 
3.3%
7 1263
 
2.6%
Other values (9) 3713
 
7.7%
Latin
ValueCountFrequency (%)
B 36
48.0%
A 15
20.0%
L 6
 
8.0%
e 6
 
8.0%
C 6
 
8.0%
J 2
 
2.7%
G 1
 
1.3%
F 1
 
1.3%
D 1
 
1.3%
1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60414
55.5%
ASCII 48440
44.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24905
51.4%
1 5670
 
11.7%
2 2391
 
4.9%
0 1865
 
3.9%
3 1859
 
3.8%
9 1823
 
3.8%
5 1642
 
3.4%
4 1642
 
3.4%
6 1593
 
3.3%
7 1263
 
2.6%
Other values (18) 3787
 
7.8%
Hangul
ValueCountFrequency (%)
4351
 
7.2%
4316
 
7.1%
4183
 
6.9%
4175
 
6.9%
4135
 
6.8%
4122
 
6.8%
4085
 
6.8%
4031
 
6.7%
4028
 
6.7%
3910
 
6.5%
Other values (253) 19078
31.6%
Number Forms
ValueCountFrequency (%)
1
100.0%

업태명
Categorical

Distinct24
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
한식
1247 
식육(숯불구이)
554 
호프/통닭
457 
회집
391 
정종/대포집/소주방
272 
Other values (19)
1113 

Length

Max length15
Median length2
Mean length4.1883986
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row중국식
2nd row한식
3rd row중국식
4th row회집
5th row회집

Common Values

ValueCountFrequency (%)
한식 1247
30.9%
식육(숯불구이) 554
13.7%
호프/통닭 457
 
11.3%
회집 391
 
9.7%
정종/대포집/소주방 272
 
6.7%
분식 191
 
4.7%
경양식 165
 
4.1%
통닭(치킨) 148
 
3.7%
중국식 139
 
3.4%
기타 125
 
3.1%
Other values (14) 345
 
8.6%

Length

2023-12-11T08:51:40.508729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1247
30.9%
식육(숯불구이 554
13.7%
호프/통닭 457
 
11.3%
회집 391
 
9.7%
정종/대포집/소주방 272
 
6.7%
분식 191
 
4.7%
경양식 165
 
4.1%
통닭(치킨 148
 
3.7%
중국식 139
 
3.4%
기타 125
 
3.1%
Other values (14) 345
 
8.6%

급수시설
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
상수도전용
3803 
지하수전용
 
148
상수도(음용)지하수(주방용)겸용
 
66
간이상수도
 
16
<NA>
 
1

Length

Max length17
Median length5
Mean length5.1960833
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 3803
94.3%
지하수전용 148
 
3.7%
상수도(음용)지하수(주방용)겸용 66
 
1.6%
간이상수도 16
 
0.4%
<NA> 1
 
< 0.1%

Length

2023-12-11T08:51:40.667983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:40.783920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 3803
94.3%
지하수전용 148
 
3.7%
상수도(음용)지하수(주방용)겸용 66
 
1.6%
간이상수도 16
 
0.4%
na 1
 
< 0.1%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
영업중
4034 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 4034
100.0%

Length

2023-12-11T08:51:40.906080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:51:41.004836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 4034
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.6 KiB
Minimum2018-08-03 00:00:00
Maximum2018-08-03 00:00:00
2023-12-11T08:51:41.073347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:51:41.152440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T08:51:41.214032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명급수시설
업태명1.0000.092
급수시설0.0921.000
2023-12-11T08:51:41.290745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명급수시설
업태명1.0000.044
급수시설0.0441.000
2023-12-11T08:51:41.368777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명급수시설
업태명1.0000.044
급수시설0.0441.000

Missing values

2023-12-11T08:51:36.718601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:51:36.878673image/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

업종명인허가일자업소명소재지(도로명)소재지(지번)업태명급수시설영업상태데이터기준일
0일반음식점1970-07-08천화원경상남도 거제시 신부로 2-4 (장승포동)경상남도 거제시 장승포동 232번지 29호중국식상수도전용영업중2018-08-03
1일반음식점1972-09-16해중식당경상남도 거제시 신부로1길 6 (장승포동)경상남도 거제시 장승포동 283번지 18호한식상수도전용영업중2018-08-03
2일반음식점1972-05-22만리향경상남도 거제시 일운면 지세포로 96-1경상남도 거제시 일운면 지세포리 935번지 3호중국식상수도전용영업중2018-08-03
3일반음식점1973-11-16연화횟집경상남도 거제시 일운면 구조라로 38경상남도 거제시 일운면 구조라리 81번지회집상수도전용영업중2018-08-03
4일반음식점1973-05-04부산횟집경상남도 거제시 일운면 구조라로 36경상남도 거제시 일운면 구조라리 80번지회집상수도전용영업중2018-08-03
5일반음식점1973-12-29보영반점<NA>경상남도 거제시 장목면 장목리 302번지중국식상수도전용영업중2018-08-03
6일반음식점1974-07-15왔다반점경상남도 거제시 두모길 10 (두모동)경상남도 거제시 두모동 365번지 1호중국식상수도전용영업중2018-08-03
7일반음식점1976-04-20청포횟집경상남도 거제시 장승포로 117 (장승포동)경상남도 거제시 장승포동 166번지회집상수도전용영업중2018-08-03
8일반음식점1976-07-06종점식당<NA>경상남도 거제시 사등면 성포리 351번지한식상수도전용영업중2018-08-03
9일반음식점1976-01-23평화횟집경상남도 거제시 사등면 성포로3길 12경상남도 거제시 사등면 성포리 350번지 10호회집상수도전용영업중2018-08-03
업종명인허가일자업소명소재지(도로명)소재지(지번)업태명급수시설영업상태데이터기준일
4024일반음식점2018-07-27카페가띠경상남도 거제시 사등면 두동로 28-6, 3층 301호경상남도 거제시 사등면 사곡리 871번지 1호 301호기타지하수전용영업중2018-08-03
4025일반음식점2018-07-27칠성맨션경상남도 거제시 하청면 거제북로 669, 1층경상남도 거제시 하청면 실전리 857번지 2호기타상수도전용영업중2018-08-03
4026일반음식점2018-07-27명성짬뽕교동면가경상남도 거제시 일운면 거제대로 2477-1, 1층경상남도 거제시 일운면 지세포리 987번지 6호 1층중국식상수도전용영업중2018-08-03
4027일반음식점2018-07-27봉광호횟집경상남도 거제시 일운면 지세포해안로 154, 1층경상남도 거제시 일운면 지세포리 416번지 9호회집상수도전용영업중2018-08-03
4028일반음식점2018-07-27정한스크린골프연습장식당경상남도 거제시 사등면 거제대로 5279, 제2동 4층경상남도 거제시 사등면 사곡리 897번지 4층 제2동한식상수도전용영업중2018-08-03
4029일반음식점2018-07-31천수추어탕경상남도 거제시 하청면 연하해안로 1448, 1층경상남도 거제시 하청면 유계리 1122번지한식상수도전용영업중2018-08-03
4030일반음식점2018-08-01나루터보리밥경상남도 거제시 장승로 99, 1층 (장승포동)경상남도 거제시 장승포동 537번지 16호 1층한식상수도전용영업중2018-08-03
4031일반음식점2018-08-02반여사의반하다경상남도 거제시 장목면 거제북로 2633-15, 궁농다기능해양시설 2층경상남도 거제시 장목면 송진포리 121번지 11호한식상수도전용영업중2018-08-03
4032일반음식점2018-08-02라마르(LA MAR)경상남도 거제시 일운면 거제대로 2631, 라마다호텔 1층경상남도 거제시 일운면 소동리 437번지 라마다호텔뷔페식상수도전용영업중2018-08-03
4033일반음식점2018-08-03한우물경상남도 거제시 거제중앙로24길 9-1, 1층 (고현동)경상남도 거제시 고현동 961번지 87호한식상수도전용영업중2018-08-03