Overview

Dataset statistics

Number of variables8
Number of observations1169
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.3 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description다중이용업소의 안전관리에 관한 특별법에 따라 안전관리업무 이행 실태가 우수한 업소를 안전관리 우수업소로 지정하고 공표* 우수업소 지정 요건은 최근 3년 동안1. 피난방화시설 폐쇄, 훼손 등 위반행위가 없을 것, 2.소방, 건축, 전기, 가스 관련 법령 위반 사실이 없을 것, 3. 화재 발생 사실이 없을 것, 4. 종업원 소방교육 또는 소방훈련을 정기적으로 실시하고 보관하고 있을 것안전관리 우수업소로 지정되면 2년 동안 출입구에 표지를 부착할 수 있고, 소방안전교육 및 화재안전조사도 2년 동안 면제.표지 발급한 날부터 2년이 되는 날 이후 30일 이내에 정기심사를 실시하여 갱신 여부 결정
Author소방청
URLhttps://www.data.go.kr/data/15126536/fileData.do

Alerts

연번 is highly overall correlated with 시도High correlation
시도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:53:18.264873
Analysis finished2024-03-14 20:53:20.586825
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean585
Minimum1
Maximum1169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-03-15T05:53:20.834721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.4
Q1293
median585
Q3877
95-th percentile1110.6
Maximum1169
Range1168
Interquartile range (IQR)584

Descriptive statistics

Standard deviation337.60554
Coefficient of variation (CV)0.57710349
Kurtosis-1.2
Mean585
Median Absolute Deviation (MAD)292
Skewness0
Sum683865
Variance113977.5
MonotonicityStrictly increasing
2024-03-15T05:53:21.335336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
769 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
783 1
 
0.1%
782 1
 
0.1%
781 1
 
0.1%
780 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
Other values (1159) 1159
99.1%
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 (%)
1169 1
0.1%
1168 1
0.1%
1167 1
0.1%
1166 1
0.1%
1165 1
0.1%
1164 1
0.1%
1163 1
0.1%
1162 1
0.1%
1161 1
0.1%
1160 1
0.1%

시도
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
서울
177 
경기
128 
전남
127 
충남
107 
대구
83 
Other values (13)
547 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울 177
15.1%
경기 128
10.9%
전남 127
10.9%
충남 107
9.2%
대구 83
 
7.1%
부산 77
 
6.6%
경북 70
 
6.0%
충북 61
 
5.2%
인천 61
 
5.2%
전북 55
 
4.7%
Other values (8) 223
19.1%

Length

2024-03-15T05:53:21.823306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 177
15.1%
경기 128
10.9%
전남 127
10.9%
충남 107
9.2%
대구 83
 
7.1%
부산 77
 
6.6%
경북 70
 
6.0%
충북 61
 
5.2%
인천 61
 
5.2%
전북 55
 
4.7%
Other values (8) 223
19.1%

업종
Categorical

Distinct17
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
일반음식점영업
398 
휴게음식점영업
364 
영화상영관
148 
노래연습장업
56 
가상체험체육시설업
45 
Other values (12)
158 

Length

Max length13
Median length7
Mean length6.5893926
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row휴게음식점영업
2nd row휴게음식점영업
3rd row휴게음식점영업
4th row가상체험체육시설업
5th row휴게음식점영업

Common Values

ValueCountFrequency (%)
일반음식점영업 398
34.0%
휴게음식점영업 364
31.1%
영화상영관 148
 
12.7%
노래연습장업 56
 
4.8%
가상체험체육시설업 45
 
3.8%
유흥주점업 36
 
3.1%
산후조리업 30
 
2.6%
목욕장업 18
 
1.5%
인터넷컴퓨터게임시설제공업 18
 
1.5%
학원 13
 
1.1%
Other values (7) 43
 
3.7%

Length

2024-03-15T05:53:22.250440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반음식점영업 398
34.0%
휴게음식점영업 364
31.1%
영화상영관 148
 
12.7%
노래연습장업 56
 
4.8%
가상체험체육시설업 45
 
3.8%
유흥주점업 36
 
3.1%
산후조리업 30
 
2.6%
인터넷컴퓨터게임시설제공업 18
 
1.5%
목욕장업 18
 
1.5%
학원 13
 
1.1%
Other values (7) 43
 
3.7%

업소명
Text

Distinct1157
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-15T05:53:23.409214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.3096664
Min length1

Characters and Unicode

Total characters9714
Distinct characters621
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1149 ?
Unique (%)98.3%

Sample

1st row한솥 종로관철동점
2nd row스타벅스 대한상공회의소R점
3rd row스타벅스 이촌점
4th row충호스크린골프장
5th row이디야 도림사거리
ValueCountFrequency (%)
스타벅스 83
 
4.5%
롯데시네마 72
 
3.9%
투썸플레이스 41
 
2.2%
맥도날드 29
 
1.6%
메가박스 17
 
0.9%
cgv 16
 
0.9%
파스쿠찌 16
 
0.9%
롯데리아 15
 
0.8%
산후조리원 14
 
0.8%
설빙 13
 
0.7%
Other values (1376) 1537
82.9%
2024-03-15T05:53:25.806077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
688
 
7.1%
스 490
 
5.0%
점 471
 
4.8%
리 169
 
1.7%
이 161
 
1.7%
산 139
 
1.4%
마 133
 
1.4%
시 132
 
1.4%
타 129
 
1.3%
대 113
 
1.2%
Other values (611) 7089
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8388
86.3%
Space Separator 688
 
7.1%
Uppercase Letter 399
 
4.1%
Decimal Number 68
 
0.7%
Lowercase Letter 51
 
0.5%
Close Punctuation 41
 
0.4%
Open Punctuation 41
 
0.4%
Other Symbol 37
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 490
 
5.8%
점 471
 
5.6%
리 169
 
2.0%
이 161
 
1.9%
산 139
 
1.7%
마 133
 
1.6%
시 132
 
1.6%
타 129
 
1.5%
대 113
 
1.3%
데 108
 
1.3%
Other values (557) 6343
75.6%
Uppercase Letter
ValueCountFrequency (%)
D 79
19.8%
C 78
19.5%
T 76
19.0%
G 47
11.8%
V 42
10.5%
P 17
 
4.3%
S 9
 
2.3%
I 7
 
1.8%
B 6
 
1.5%
K 5
 
1.3%
Other values (13) 33
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 8
15.7%
c 8
15.7%
n 7
13.7%
d 6
11.8%
e 5
9.8%
p 4
7.8%
f 2
 
3.9%
o 2
 
3.9%
t 2
 
3.9%
s 1
 
2.0%
Other values (6) 6
11.8%
Decimal Number
ValueCountFrequency (%)
1 16
23.5%
3 10
14.7%
2 10
14.7%
0 8
11.8%
9 6
 
8.8%
7 5
 
7.4%
5 5
 
7.4%
6 4
 
5.9%
4 3
 
4.4%
8 1
 
1.5%
Space Separator
ValueCountFrequency (%)
688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8425
86.7%
Common 839
 
8.6%
Latin 450
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 490
 
5.8%
점 471
 
5.6%
리 169
 
2.0%
이 161
 
1.9%
산 139
 
1.6%
마 133
 
1.6%
시 132
 
1.6%
타 129
 
1.5%
대 113
 
1.3%
데 108
 
1.3%
Other values (558) 6380
75.7%
Latin
ValueCountFrequency (%)
D 79
17.6%
C 78
17.3%
T 76
16.9%
G 47
10.4%
V 42
9.3%
P 17
 
3.8%
S 9
 
2.0%
a 8
 
1.8%
c 8
 
1.8%
n 7
 
1.6%
Other values (29) 79
17.6%
Common
ValueCountFrequency (%)
688
82.0%
) 41
 
4.9%
( 41
 
4.9%
1 16
 
1.9%
3 10
 
1.2%
2 10
 
1.2%
0 8
 
1.0%
9 6
 
0.7%
7 5
 
0.6%
5 5
 
0.6%
Other values (4) 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8388
86.3%
ASCII 1289
 
13.3%
None 37
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
688
53.4%
D 79
 
6.1%
C 78
 
6.1%
T 76
 
5.9%
G 47
 
3.6%
V 42
 
3.3%
) 41
 
3.2%
( 41
 
3.2%
P 17
 
1.3%
1 16
 
1.2%
Other values (43) 164
 
12.7%
Hangul
ValueCountFrequency (%)
스 490
 
5.8%
점 471
 
5.6%
리 169
 
2.0%
이 161
 
1.9%
산 139
 
1.7%
마 133
 
1.6%
시 132
 
1.6%
타 129
 
1.5%
대 113
 
1.3%
데 108
 
1.3%
Other values (557) 6343
75.6%
None
ValueCountFrequency (%)
㈜ 37
100.0%

주소
Text

Distinct1153
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-15T05:53:27.417036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length20.300257
Min length13

Characters and Unicode

Total characters23731
Distinct characters379
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1140 ?
Unique (%)97.5%

Sample

1st row서울특별시 종로구 종로12길 10
2nd row서울특별시 중구 세종대로39
3rd row서울특별시 용산구 이촌로 276
4th row서울특별시 동대문구 왕산로9길 8
5th row서울특별시 영등포구 도림로 326
ValueCountFrequency (%)
서울특별시 177
 
3.4%
전라남도 127
 
2.5%
경기도 127
 
2.5%
충청남도 107
 
2.1%
대구광역시 82
 
1.6%
부산광역시 77
 
1.5%
경상북도 70
 
1.4%
인천광역시 62
 
1.2%
충청북도 61
 
1.2%
전북특별자치도 52
 
1.0%
Other values (2232) 4218
81.7%
2024-03-15T05:53:29.812107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4026
 
17.0%
시 979
 
4.1%
로 961
 
4.0%
1 857
 
3.6%
도 724
 
3.1%
구 685
 
2.9%
2 606
 
2.6%
3 431
 
1.8%
광 423
 
1.8%
남 417
 
1.8%
Other values (369) 13622
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15108
63.7%
Space Separator 4026
 
17.0%
Decimal Number 3946
 
16.6%
Dash Punctuation 239
 
1.0%
Open Punctuation 202
 
0.9%
Close Punctuation 202
 
0.9%
Uppercase Letter 6
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 979
 
6.5%
로 961
 
6.4%
도 724
 
4.8%
구 685
 
4.5%
광 423
 
2.8%
남 417
 
2.8%
서 366
 
2.4%
대 354
 
2.3%
산 354
 
2.3%
길 353
 
2.3%
Other values (351) 9492
62.8%
Decimal Number
ValueCountFrequency (%)
1 857
21.7%
2 606
15.4%
3 431
10.9%
5 344
8.7%
6 318
 
8.1%
4 314
 
8.0%
7 296
 
7.5%
0 294
 
7.5%
8 254
 
6.4%
9 232
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 3
50.0%
B 2
33.3%
T 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15108
63.7%
Common 8617
36.3%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 979
 
6.5%
로 961
 
6.4%
도 724
 
4.8%
구 685
 
4.5%
광 423
 
2.8%
남 417
 
2.8%
서 366
 
2.4%
대 354
 
2.3%
산 354
 
2.3%
길 353
 
2.3%
Other values (351) 9492
62.8%
Common
ValueCountFrequency (%)
4026
46.7%
1 857
 
9.9%
2 606
 
7.0%
3 431
 
5.0%
5 344
 
4.0%
6 318
 
3.7%
4 314
 
3.6%
7 296
 
3.4%
0 294
 
3.4%
8 254
 
2.9%
Other values (5) 877
 
10.2%
Latin
ValueCountFrequency (%)
M 3
50.0%
B 2
33.3%
T 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15108
63.7%
ASCII 8623
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4026
46.7%
1 857
 
9.9%
2 606
 
7.0%
3 431
 
5.0%
5 344
 
4.0%
6 318
 
3.7%
4 314
 
3.6%
7 296
 
3.4%
0 294
 
3.4%
8 254
 
2.9%
Other values (8) 883
 
10.2%
Hangul
ValueCountFrequency (%)
시 979
 
6.5%
로 961
 
6.4%
도 724
 
4.8%
구 685
 
4.5%
광 423
 
2.8%
남 417
 
2.8%
서 366
 
2.4%
대 354
 
2.3%
산 354
 
2.3%
길 353
 
2.3%
Other values (351) 9492
62.8%

전화번호(영업장)
Text

Distinct1006
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-03-15T05:53:31.146572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.693755
Min length8

Characters and Unicode

Total characters13670
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)85.0%

Sample

1st row02-725-3305
2nd row1522-3232
3rd row1522-3232
4th row0507-1439-5444
5th row02-6015-3292
ValueCountFrequency (%)
1522-3232 56
 
4.6%
미기재 51
 
4.2%
전화번호 51
 
4.2%
1544-8855 35
 
2.9%
1544-1122 9
 
0.7%
1544-0070 7
 
0.6%
02-3015-1100 5
 
0.4%
061-335-8088 2
 
0.2%
061-691-8316 2
 
0.2%
061-393-0900 2
 
0.2%
Other values (1001) 1004
82.0%
2024-03-15T05:53:32.407163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2121
15.5%
0 2113
15.5%
3 1330
9.7%
5 1271
9.3%
2 1254
9.2%
1 1187
8.7%
4 1020
7.5%
7 891
6.5%
6 829
 
6.1%
8 687
 
5.0%
Other values (9) 967
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11137
81.5%
Dash Punctuation 2121
 
15.5%
Other Letter 357
 
2.6%
Space Separator 55
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2113
19.0%
3 1330
11.9%
5 1271
11.4%
2 1254
11.3%
1 1187
10.7%
4 1020
9.2%
7 891
8.0%
6 829
 
7.4%
8 687
 
6.2%
9 555
 
5.0%
Other Letter
ValueCountFrequency (%)
호 51
14.3%
미 51
14.3%
기 51
14.3%
재 51
14.3%
번 51
14.3%
화 51
14.3%
전 51
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 2121
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13313
97.4%
Hangul 357
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2121
15.9%
0 2113
15.9%
3 1330
10.0%
5 1271
9.5%
2 1254
9.4%
1 1187
8.9%
4 1020
7.7%
7 891
6.7%
6 829
 
6.2%
8 687
 
5.2%
Other values (2) 610
 
4.6%
Hangul
ValueCountFrequency (%)
호 51
14.3%
미 51
14.3%
기 51
14.3%
재 51
14.3%
번 51
14.3%
화 51
14.3%
전 51
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13313
97.4%
Hangul 357
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2121
15.9%
0 2113
15.9%
3 1330
10.0%
5 1271
9.5%
2 1254
9.4%
1 1187
8.9%
4 1020
7.7%
7 891
6.7%
6 829
 
6.2%
8 687
 
5.2%
Other values (2) 610
 
4.6%
Hangul
ValueCountFrequency (%)
호 51
14.3%
미 51
14.3%
기 51
14.3%
재 51
14.3%
번 51
14.3%
화 51
14.3%
전 51
14.3%

공표일자
Date

Distinct58
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2013-10-07 00:00:00
Maximum2023-12-04 00:00:00
2024-03-15T05:53:32.649678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:53:33.059783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고(신규_갱신)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
갱신
807 
신규
362 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
갱신 807
69.0%
신규 362
31.0%

Length

2024-03-15T05:53:33.295406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:53:33.555607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
갱신 807
69.0%
신규 362
31.0%

Interactions

2024-03-15T05:53:19.484747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:53:33.742972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도업종공표일자비고(신규_갱신)
연번1.0000.9620.4020.7420.299
시도0.9621.0000.4600.8600.387
업종0.4020.4601.0000.0000.198
공표일자0.7420.8600.0001.0000.279
비고(신규_갱신)0.2990.3870.1980.2791.000
2024-03-15T05:53:33.920392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고(신규_갱신)시도업종
비고(신규_갱신)1.0000.3030.177
시도0.3031.0000.160
업종0.1770.1601.000
2024-03-15T05:53:34.126467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시도업종비고(신규_갱신)
연번1.0000.8160.1680.229
시도0.8161.0000.1600.303
업종0.1680.1601.0000.177
비고(신규_갱신)0.2290.3030.1771.000

Missing values

2024-03-15T05:53:19.984804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:53:20.421566image/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

연번시도업종업소명주소전화번호(영업장)공표일자비고(신규_갱신)
01서울휴게음식점영업한솥 종로관철동점서울특별시 종로구 종로12길 1002-725-33052022-11-09신규
12서울휴게음식점영업스타벅스 대한상공회의소R점서울특별시 중구 세종대로391522-32322022-11-09신규
23서울휴게음식점영업스타벅스 이촌점서울특별시 용산구 이촌로 2761522-32322022-11-09신규
34서울가상체험체육시설업충호스크린골프장서울특별시 동대문구 왕산로9길 80507-1439-54442022-11-09신규
45서울휴게음식점영업이디야 도림사거리서울특별시 영등포구 도림로 32602-6015-32922022-11-09신규
56서울일반음식점영업매드포갈릭 현대미아점서울특별시 성북구 동소문로 31502-2117-19552022-11-09신규
67서울가상체험체육시설업베로니스 골프존서울특별시 은평구 증산로 31502-352-01252022-11-09신규
78서울휴게음식점영업스타벅스 연신내역 사거리점서울특별시 은평구 통일로 8421522-32322022-11-09신규
89서울휴게음식점영업이디야커피 랩서울특별시 강남구 논현로 63602-545-64672022-11-09신규
910서울목욕장업오라카이 청계산호텔사우나서울특별시 서초구 청계산로9길 1-702-6200-75302022-11-09신규
연번시도업종업소명주소전화번호(영업장)공표일자비고(신규_갱신)
11591160제주일반음식점영업라세느둘제주특별자치도 서귀포시 중문관광로72번길 35(지하2층)064-731-42642023-11-09갱신
11601161제주유흥주점업테디락제주특별자치도 서귀포시 안덕면 한창로 365064-793-10002022-11-09갱신
11611162제주일반음식점영업제주설심당모슬포점제주특별자치도 서귀포시 대정읍 신영로 730507-1413-42072023-11-09신규
11621163제주휴게음식점영업투썸플레이스 제주애월한담점제주특별자치도 제주시 애월읍 애월로1길 19전화번호 미기재2022-11-09신규
11631164제주휴게음식점영업투썸플레이스 제주애월하귀점제주특별자치도 제주시 애월읍 일주서로 72090507-1440-89852022-11-09신규
11641165제주일반음식점영업해비치 클럽하우스제주특별자치도 서귀포시 남원읍 원남로 399번길 319064-766-62062023-11-09갱신
11651166제주휴게음식점영업(주)더포그레이스호텔앤리조트제주특별자치도 서귀포시 성산읍 해맞이해안로 2670064-797-77002022-11-09신규
11661167제주단란주점업㈜노래하는 비어라운지 단란주점제주특별자치도 서귀포시 남원읍 태위로 522-12064-766-80002023-11-09신규
11671168제주노래연습장업㈜금호리조트 노래연습장제주특별자치도 서귀포시 남원읍 태위로 522-12064-766-80002023-11-09신규
11681169제주일반음식점영업㈜플레이스 도렐제주특별자치도 서귀포시 성산읍 동류암로 20064-766-30842023-11-09신규