Overview

Dataset statistics

Number of variables5
Number of observations8245
Missing cells26
Missing cells (%)0.1%
Duplicate rows444
Duplicate rows (%)5.4%
Total size in memory322.2 KiB
Average record size in memory40.0 B

Variable types

Categorical1
DateTime1
Text3

Dataset

Description여수시 관내 일반.휴게음식점, 유흥주점, 단란주점, 식품제조가공업, 즉석판매제조가공업, 집단급식소 현황 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3073438/fileData.do

Alerts

Dataset has 444 (5.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 21:00:27.426522
Analysis finished2023-12-12 21:00:28.957022
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
일반음식점
5333 
휴게음식점
1166 
즉석판매제조가공업
844 
유흥주점영업
 
313
집단급식소
 
252
Other values (2)
 
337

Length

Max length9
Median length5
Mean length5.4705882
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 5333
64.7%
휴게음식점 1166
 
14.1%
즉석판매제조가공업 844
 
10.2%
유흥주점영업 313
 
3.8%
집단급식소 252
 
3.1%
식품제조가공업 176
 
2.1%
단란주점 161
 
2.0%

Length

2023-12-13T06:00:29.287341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:00:29.424307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 5333
64.7%
휴게음식점 1166
 
14.1%
즉석판매제조가공업 844
 
10.2%
유흥주점영업 313
 
3.8%
집단급식소 252
 
3.1%
식품제조가공업 176
 
2.1%
단란주점 161
 
2.0%

인허가일자
Date

Distinct4240
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
Minimum1959-09-11 00:00:00
Maximum2023-08-03 00:00:00
2023-12-13T06:00:29.585115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:29.782873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct7420
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-13T06:00:30.173338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length6.5078229
Min length1

Characters and Unicode

Total characters53657
Distinct characters1019
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6689 ?
Unique (%)81.1%

Sample

1st row산해반점
2nd row함남면옥
3rd row보스톤
4th row여수여객구내식당
5th row1967 바다지음
ValueCountFrequency (%)
여수 97
 
0.9%
카페 63
 
0.6%
세븐일레븐 61
 
0.6%
여수점 56
 
0.5%
여수웅천점 41
 
0.4%
여수학동점 38
 
0.3%
주식회사 37
 
0.3%
씨유 34
 
0.3%
이마트24 28
 
0.3%
웅천점 25
 
0.2%
Other values (7999) 10499
95.6%
2023-12-13T06:00:30.687135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2742
 
5.1%
점 1563
 
2.9%
수 1559
 
2.9%
여 1511
 
2.8%
이 925
 
1.7%
식 816
 
1.5%
) 804
 
1.5%
( 799
 
1.5%
리 642
 
1.2%
당 631
 
1.2%
Other values (1009) 41665
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45682
85.1%
Space Separator 2742
 
5.1%
Uppercase Letter 1359
 
2.5%
Lowercase Letter 1117
 
2.1%
Decimal Number 891
 
1.7%
Close Punctuation 806
 
1.5%
Open Punctuation 801
 
1.5%
Other Punctuation 218
 
0.4%
Dash Punctuation 28
 
0.1%
Modifier Symbol 4
 
< 0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1563
 
3.4%
수 1559
 
3.4%
여 1511
 
3.3%
이 925
 
2.0%
식 816
 
1.8%
리 642
 
1.4%
당 631
 
1.4%
스 619
 
1.4%
집 500
 
1.1%
마 494
 
1.1%
Other values (923) 36422
79.7%
Lowercase Letter
ValueCountFrequency (%)
e 175
15.7%
a 124
11.1%
o 101
 
9.0%
r 76
 
6.8%
n 73
 
6.5%
f 61
 
5.5%
s 59
 
5.3%
u 48
 
4.3%
t 46
 
4.1%
i 45
 
4.0%
Other values (16) 309
27.7%
Uppercase Letter
ValueCountFrequency (%)
C 142
 
10.4%
E 114
 
8.4%
S 110
 
8.1%
O 96
 
7.1%
B 93
 
6.8%
G 89
 
6.5%
A 85
 
6.3%
U 68
 
5.0%
N 57
 
4.2%
F 57
 
4.2%
Other values (16) 448
33.0%
Other Punctuation
ValueCountFrequency (%)
& 89
40.8%
. 35
 
16.1%
, 33
 
15.1%
' 18
 
8.3%
· 16
 
7.3%
! 9
 
4.1%
# 7
 
3.2%
/ 6
 
2.8%
; 2
 
0.9%
: 2
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 215
24.1%
1 134
15.0%
5 105
11.8%
0 105
11.8%
4 70
 
7.9%
3 69
 
7.7%
9 67
 
7.5%
7 53
 
5.9%
8 45
 
5.1%
6 28
 
3.1%
Modifier Symbol
ValueCountFrequency (%)
` 2
50.0%
´ 1
25.0%
˚ 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 804
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 799
99.8%
[ 2
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
2742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45656
85.1%
Common 5496
 
10.2%
Latin 2479
 
4.6%
Han 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1563
 
3.4%
수 1559
 
3.4%
여 1511
 
3.3%
이 925
 
2.0%
식 816
 
1.8%
리 642
 
1.4%
당 631
 
1.4%
스 619
 
1.4%
집 500
 
1.1%
마 494
 
1.1%
Other values (905) 36396
79.7%
Latin
ValueCountFrequency (%)
e 175
 
7.1%
C 142
 
5.7%
a 124
 
5.0%
E 114
 
4.6%
S 110
 
4.4%
o 101
 
4.1%
O 96
 
3.9%
B 93
 
3.8%
G 89
 
3.6%
A 85
 
3.4%
Other values (44) 1350
54.5%
Common
ValueCountFrequency (%)
2742
49.9%
) 804
 
14.6%
( 799
 
14.5%
2 215
 
3.9%
1 134
 
2.4%
5 105
 
1.9%
0 105
 
1.9%
& 89
 
1.6%
4 70
 
1.3%
3 69
 
1.3%
Other values (22) 364
 
6.6%
Han
ValueCountFrequency (%)
家 4
15.4%
牛 2
 
7.7%
肉 2
 
7.7%
海 2
 
7.7%
酒 2
 
7.7%
愛 2
 
7.7%
老 1
 
3.8%
味 1
 
3.8%
百 1
 
3.8%
豚 1
 
3.8%
Other values (8) 8
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45656
85.1%
ASCII 7954
 
14.8%
CJK 26
 
< 0.1%
None 17
 
< 0.1%
Number Forms 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2742
34.5%
) 804
 
10.1%
( 799
 
10.0%
2 215
 
2.7%
e 175
 
2.2%
C 142
 
1.8%
1 134
 
1.7%
a 124
 
1.6%
E 114
 
1.4%
S 110
 
1.4%
Other values (71) 2595
32.6%
Hangul
ValueCountFrequency (%)
점 1563
 
3.4%
수 1559
 
3.4%
여 1511
 
3.3%
이 925
 
2.0%
식 816
 
1.8%
리 642
 
1.4%
당 631
 
1.4%
스 619
 
1.4%
집 500
 
1.1%
마 494
 
1.1%
Other values (905) 36396
79.7%
None
ValueCountFrequency (%)
· 16
94.1%
´ 1
 
5.9%
CJK
ValueCountFrequency (%)
家 4
15.4%
牛 2
 
7.7%
肉 2
 
7.7%
海 2
 
7.7%
酒 2
 
7.7%
愛 2
 
7.7%
老 1
 
3.8%
味 1
 
3.8%
百 1
 
3.8%
豚 1
 
3.8%
Other values (8) 8
30.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지(도로명)
Text

Distinct6536
Distinct (%)79.5%
Missing25
Missing (%)0.3%
Memory size64.5 KiB
2023-12-13T06:00:30.959406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length21.256813
Min length14

Characters and Unicode

Total characters174731
Distinct characters373
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

Unique5344 ?
Unique (%)65.0%

Sample

1st row 여수시 통제영5길 10-2 (중앙동)
2nd row 여수시 중앙1길 8 (중앙동)
3rd row 여수시 진남상가길 39-4, 2층 (교동)
4th row 여수시 좌수영로 531 (둔덕동)
5th row 여수시 오동도로 20 (공화동)
ValueCountFrequency (%)
여수시 8222
 
21.9%
1층 1368
 
3.6%
학동 1008
 
2.7%
돌산읍 595
 
1.6%
문수동 545
 
1.5%
여서동 469
 
1.2%
2층 449
 
1.2%
소라면 417
 
1.1%
봉산동 406
 
1.1%
화장동 372
 
1.0%
Other values (3105) 23700
63.1%
2023-12-13T06:00:31.337773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37559
21.5%
여 9777
 
5.6%
수 9650
 
5.5%
시 9017
 
5.2%
1 8634
 
4.9%
동 8583
 
4.9%
) 7029
 
4.0%
( 7029
 
4.0%
2 4539
 
2.6%
길 4269
 
2.4%
Other values (363) 68645
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87189
49.9%
Space Separator 37559
21.5%
Decimal Number 29698
 
17.0%
Close Punctuation 7030
 
4.0%
Open Punctuation 7030
 
4.0%
Other Punctuation 3339
 
1.9%
Dash Punctuation 2649
 
1.5%
Uppercase Letter 188
 
0.1%
Math Symbol 34
 
< 0.1%
Lowercase Letter 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 9777
 
11.2%
수 9650
 
11.1%
시 9017
 
10.3%
동 8583
 
9.8%
길 4269
 
4.9%
로 3968
 
4.6%
산 2336
 
2.7%
층 2285
 
2.6%
문 1781
 
2.0%
화 1448
 
1.7%
Other values (321) 34075
39.1%
Uppercase Letter
ValueCountFrequency (%)
A 52
27.7%
B 45
23.9%
C 25
13.3%
N 12
 
6.4%
I 9
 
4.8%
G 8
 
4.3%
V 8
 
4.3%
D 5
 
2.7%
O 5
 
2.7%
M 4
 
2.1%
Other values (7) 15
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 8634
29.1%
2 4539
15.3%
3 3302
 
11.1%
4 2428
 
8.2%
5 2188
 
7.4%
6 2112
 
7.1%
0 1912
 
6.4%
7 1735
 
5.8%
8 1545
 
5.2%
9 1303
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 3315
99.3%
@ 12
 
0.4%
& 6
 
0.2%
. 5
 
0.1%
* 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 12
80.0%
c 2
 
13.3%
a 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 7029
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7029
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
37559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2649
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87339
50.0%
Hangul 87189
49.9%
Latin 203
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 9777
 
11.2%
수 9650
 
11.1%
시 9017
 
10.3%
동 8583
 
9.8%
길 4269
 
4.9%
로 3968
 
4.6%
산 2336
 
2.7%
층 2285
 
2.6%
문 1781
 
2.0%
화 1448
 
1.7%
Other values (321) 34075
39.1%
Common
ValueCountFrequency (%)
37559
43.0%
1 8634
 
9.9%
) 7029
 
8.0%
( 7029
 
8.0%
2 4539
 
5.2%
, 3315
 
3.8%
3 3302
 
3.8%
- 2649
 
3.0%
4 2428
 
2.8%
5 2188
 
2.5%
Other values (12) 8667
 
9.9%
Latin
ValueCountFrequency (%)
A 52
25.6%
B 45
22.2%
C 25
12.3%
e 12
 
5.9%
N 12
 
5.9%
I 9
 
4.4%
G 8
 
3.9%
V 8
 
3.9%
D 5
 
2.5%
O 5
 
2.5%
Other values (10) 22
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87542
50.1%
Hangul 87189
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37559
42.9%
1 8634
 
9.9%
) 7029
 
8.0%
( 7029
 
8.0%
2 4539
 
5.2%
, 3315
 
3.8%
3 3302
 
3.8%
- 2649
 
3.0%
4 2428
 
2.8%
5 2188
 
2.5%
Other values (32) 8870
 
10.1%
Hangul
ValueCountFrequency (%)
여 9777
 
11.2%
수 9650
 
11.1%
시 9017
 
10.3%
동 8583
 
9.8%
길 4269
 
4.9%
로 3968
 
4.6%
산 2336
 
2.7%
층 2285
 
2.6%
문 1781
 
2.0%
화 1448
 
1.7%
Other values (321) 34075
39.1%

소재지(지번)
Text

Distinct5947
Distinct (%)72.1%
Missing1
Missing (%)< 0.1%
Memory size64.5 KiB
2023-12-13T06:00:31.595838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length16.907205
Min length11

Characters and Unicode

Total characters139383
Distinct characters330
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

Unique4476 ?
Unique (%)54.3%

Sample

1st row 여수시 중앙동 666
2nd row 여수시 중앙동 435
3rd row 여수시 교동 384 2층
4th row 여수시 둔덕동 571
5th row 여수시 공화동 766
ValueCountFrequency (%)
여수시 8247
28.4%
학동 1041
 
3.6%
돌산읍 595
 
2.0%
문수동 563
 
1.9%
1층 495
 
1.7%
여서동 485
 
1.7%
소라면 417
 
1.4%
봉산동 413
 
1.4%
화장동 381
 
1.3%
신기동 373
 
1.3%
Other values (5240) 16042
55.2%
2023-12-13T06:00:31.949923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37127
26.6%
수 9079
 
6.5%
여 8912
 
6.4%
시 8326
 
6.0%
1 8309
 
6.0%
동 7210
 
5.2%
- 6474
 
4.6%
2 4799
 
3.4%
4 3302
 
2.4%
7 3185
 
2.3%
Other values (320) 42660
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59172
42.5%
Space Separator 37127
26.6%
Decimal Number 35855
25.7%
Dash Punctuation 6474
 
4.6%
Close Punctuation 231
 
0.2%
Open Punctuation 231
 
0.2%
Other Punctuation 124
 
0.1%
Uppercase Letter 91
 
0.1%
Math Symbol 64
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 9079
15.3%
여 8912
15.1%
시 8326
14.1%
동 7210
 
12.2%
리 1438
 
2.4%
산 1401
 
2.4%
학 1068
 
1.8%
층 943
 
1.6%
화 939
 
1.6%
면 800
 
1.4%
Other values (281) 19056
32.2%
Uppercase Letter
ValueCountFrequency (%)
A 23
25.3%
B 14
15.4%
C 12
13.2%
N 11
12.1%
I 6
 
6.6%
T 4
 
4.4%
Y 3
 
3.3%
O 3
 
3.3%
M 3
 
3.3%
G 3
 
3.3%
Other values (7) 9
 
9.9%
Decimal Number
ValueCountFrequency (%)
1 8309
23.2%
2 4799
13.4%
4 3302
 
9.2%
7 3185
 
8.9%
3 3009
 
8.4%
5 2764
 
7.7%
0 2685
 
7.5%
8 2666
 
7.4%
6 2639
 
7.4%
9 2497
 
7.0%
Other Punctuation
ValueCountFrequency (%)
, 92
74.2%
@ 22
 
17.7%
. 6
 
4.8%
& 3
 
2.4%
/ 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
78.6%
a 3
 
21.4%
Space Separator
ValueCountFrequency (%)
37127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Math Symbol
ValueCountFrequency (%)
~ 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80106
57.5%
Hangul 59172
42.5%
Latin 105
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 9079
15.3%
여 8912
15.1%
시 8326
14.1%
동 7210
 
12.2%
리 1438
 
2.4%
산 1401
 
2.4%
학 1068
 
1.8%
층 943
 
1.6%
화 939
 
1.6%
면 800
 
1.4%
Other values (281) 19056
32.2%
Common
ValueCountFrequency (%)
37127
46.3%
1 8309
 
10.4%
- 6474
 
8.1%
2 4799
 
6.0%
4 3302
 
4.1%
7 3185
 
4.0%
3 3009
 
3.8%
5 2764
 
3.5%
0 2685
 
3.4%
8 2666
 
3.3%
Other values (10) 5786
 
7.2%
Latin
ValueCountFrequency (%)
A 23
21.9%
B 14
13.3%
C 12
11.4%
N 11
10.5%
e 11
10.5%
I 6
 
5.7%
T 4
 
3.8%
a 3
 
2.9%
Y 3
 
2.9%
O 3
 
2.9%
Other values (9) 15
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80211
57.5%
Hangul 59172
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37127
46.3%
1 8309
 
10.4%
- 6474
 
8.1%
2 4799
 
6.0%
4 3302
 
4.1%
7 3185
 
4.0%
3 3009
 
3.8%
5 2764
 
3.4%
0 2685
 
3.3%
8 2666
 
3.3%
Other values (29) 5891
 
7.3%
Hangul
ValueCountFrequency (%)
수 9079
15.3%
여 8912
15.1%
시 8326
14.1%
동 7210
 
12.2%
리 1438
 
2.4%
산 1401
 
2.4%
학 1068
 
1.8%
층 943
 
1.6%
화 939
 
1.6%
면 800
 
1.4%
Other values (281) 19056
32.2%

Missing values

2023-12-13T06:00:28.668375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:00:28.781496image/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.
2023-12-13T06:00:28.901403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)
0일반음식점1959-09-11산해반점여수시 통제영5길 10-2 (중앙동)여수시 중앙동 666
1일반음식점1961-10-05함남면옥여수시 중앙1길 8 (중앙동)여수시 중앙동 435
2일반음식점1964-02-15보스톤여수시 진남상가길 39-4, 2층 (교동)여수시 교동 384 2층
3일반음식점1965-03-05여수여객구내식당여수시 좌수영로 531 (둔덕동)여수시 둔덕동 571
4일반음식점1967-02-131967 바다지음여수시 오동도로 20 (공화동)여수시 공화동 766
5일반음식점1968-06-26신성회관여수시 율촌면 동산개길 3여수시 율촌면 조화리 210
6일반음식점1968-08-09창원여수시 동문로 10-1 (중앙동)여수시 중앙동 490
7일반음식점1969-11-29보성여수시 소라면 상세동길 73여수시 소라면 덕양리 1171
8일반음식점1971-08-07형제식당여수시 공화북6길 6 (공화동)여수시 공화동 365
9일반음식점1971-06-10진미반점여수시 동문로 127-1 (공화동)여수시 공화동 547
업종명인허가일자업소명소재지(도로명)소재지(지번)
8235즉석판매제조가공업2021-11-09뜨락여수시 장성3길 22-2 (안산동)여수시 안산동 733-1
8236즉석판매제조가공업2022-02-17시골밥상여수시 남면 횡간중앙길 14-3여수시 남면 횡간리 332
8237즉석판매제조가공업2022-04-11참새방앗간여수시 돌산읍 향일암로 70-3, 2층여수시 돌산읍 율림리 6-16
8238즉석판매제조가공업2022-05-02백수초밥여수시 여문문화1길 54 (여서동)여수시 여서동 208-2
8239즉석판매제조가공업2022-06-07하루한끼여수시 봉계대곡길 50, 상가동 107호 (봉계동, 아주타운)여수시 봉계동 16 아주타운
8240즉석판매제조가공업2022-11-01닥터스팜여수시 흙산로 15, 2층 (공화동)여수시 공화동 992
8241즉석판매제조가공업2022-11-07채선당 밀키트24 여수소호점여수시 소호로 593, 1층 (안산동)여수시 안산동 721-5
8242즉석판매제조가공업2023-05-23우렁각시여수시 화산로 10 (화장동)여수시 화장동 894-105
8243즉석판매제조가공업2023-07-20파낙스조은삼여수시 시청동1길 17, 6층 (학동)여수시 학동 99-7
8244즉석판매제조가공업2023-07-28모란케이크여수시 새터로 11 (신기동)여수시 신기동 91-6

Duplicate rows

Most frequently occurring

업종명인허가일자업소명소재지(도로명)소재지(지번)# duplicates
0일반음식점1959-09-11산해반점여수시 통제영5길 10-2 (중앙동)여수시 중앙동 6662
1일반음식점1961-10-05함남면옥여수시 중앙1길 8 (중앙동)여수시 중앙동 4352
2일반음식점1964-02-15보스톤여수시 진남상가길 39-4, 2층 (교동)여수시 교동 384 2층2
3일반음식점1967-02-131967 바다지음여수시 오동도로 20 (공화동)여수시 공화동 7662
4일반음식점1968-06-26신성회관여수시 율촌면 동산개길 3여수시 율촌면 조화리 2102
5일반음식점1968-08-09창원여수시 동문로 10-1 (중앙동)여수시 중앙동 4902
6일반음식점1969-11-29보성여수시 소라면 상세동길 73여수시 소라면 덕양리 11712
7일반음식점1971-01-23꼬지마당여수시 교동남1길 6-1 (교동)여수시 교동 5392
8일반음식점1971-06-10진미반점여수시 동문로 127-1 (공화동)여수시 공화동 5472
9일반음식점1971-07-08수궁여수시 관문2길 9 (관문동)여수시 관문동 464-42