Overview

Dataset statistics

Number of variables4
Number of observations2262
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)0.2%
Total size in memory70.8 KiB
Average record size in memory32.1 B

Variable types

Text4

Dataset

Description경상남도_남해군_제로페이가맹점에 대한 데이터로 가맹점명, 가맹점기본주소, 업종, 업태 항목에 대한 정보를 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15065287

Alerts

Dataset has 4 (0.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 23:53:44.441528
Analysis finished2023-12-10 23:53:45.248392
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct2224
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T08:53:45.466894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length6.4332449
Min length1

Characters and Unicode

Total characters14552
Distinct characters784
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2198 ?
Unique (%)97.2%

Sample

1st rowBYC남해점
2nd row다나식당
3rd row촌놈밥상
4th row아이점프
5th row프라임하우스
ValueCountFrequency (%)
남해점 53
 
1.9%
아모레 23
 
0.8%
주식회사 23
 
0.8%
㈜비지에프네트웍스 18
 
0.6%
하나로마트 17
 
0.6%
한국야쿠르트 16
 
0.6%
새남해농협 13
 
0.5%
남해 13
 
0.5%
gs 12
 
0.4%
postbox 12
 
0.4%
Other values (2436) 2623
92.9%
2023-12-11T08:53:45.864393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
3.9%
해 562
 
3.9%
남 549
 
3.8%
점 287
 
2.0%
스 242
 
1.7%
이 202
 
1.4%
리 189
 
1.3%
식 169
 
1.2%
마 147
 
1.0%
트 141
 
1.0%
Other values (774) 11496
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12966
89.1%
Space Separator 568
 
3.9%
Uppercase Letter 313
 
2.2%
Decimal Number 220
 
1.5%
Lowercase Letter 204
 
1.4%
Close Punctuation 83
 
0.6%
Open Punctuation 83
 
0.6%
Other Punctuation 68
 
0.5%
Connector Punctuation 23
 
0.2%
Other Symbol 21
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 562
 
4.3%
남 549
 
4.2%
점 287
 
2.2%
스 242
 
1.9%
이 202
 
1.6%
리 189
 
1.5%
식 169
 
1.3%
마 147
 
1.1%
트 141
 
1.1%
사 139
 
1.1%
Other values (697) 10339
79.7%
Uppercase Letter
ValueCountFrequency (%)
G 52
16.6%
S 46
14.7%
A 27
 
8.6%
C 21
 
6.7%
E 20
 
6.4%
L 17
 
5.4%
V 16
 
5.1%
B 14
 
4.5%
H 13
 
4.2%
O 12
 
3.8%
Other values (15) 75
24.0%
Lowercase Letter
ValueCountFrequency (%)
o 30
14.7%
a 21
10.3%
s 19
9.3%
e 18
8.8%
p 16
 
7.8%
t 16
 
7.8%
b 14
 
6.9%
x 12
 
5.9%
n 11
 
5.4%
i 7
 
3.4%
Other values (12) 40
19.6%
Decimal Number
ValueCountFrequency (%)
2 49
22.3%
1 39
17.7%
5 32
14.5%
3 20
9.1%
9 17
 
7.7%
4 16
 
7.3%
8 15
 
6.8%
6 14
 
6.4%
0 10
 
4.5%
7 6
 
2.7%
Other Punctuation
ValueCountFrequency (%)
* 23
33.8%
, 19
27.9%
& 8
 
11.8%
. 6
 
8.8%
． 5
 
7.4%
/ 2
 
2.9%
· 2
 
2.9%
# 1
 
1.5%
' 1
 
1.5%
， 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 77
92.8%
） 6
 
7.2%
Open Punctuation
ValueCountFrequency (%)
( 77
92.8%
（ 6
 
7.2%
Space Separator
ValueCountFrequency (%)
568
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12984
89.2%
Common 1048
 
7.2%
Latin 517
 
3.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 562
 
4.3%
남 549
 
4.2%
점 287
 
2.2%
스 242
 
1.9%
이 202
 
1.6%
리 189
 
1.5%
식 169
 
1.3%
마 147
 
1.1%
트 141
 
1.1%
사 139
 
1.1%
Other values (695) 10357
79.8%
Latin
ValueCountFrequency (%)
G 52
 
10.1%
S 46
 
8.9%
o 30
 
5.8%
A 27
 
5.2%
C 21
 
4.1%
a 21
 
4.1%
E 20
 
3.9%
s 19
 
3.7%
e 18
 
3.5%
L 17
 
3.3%
Other values (37) 246
47.6%
Common
ValueCountFrequency (%)
568
54.2%
) 77
 
7.3%
( 77
 
7.3%
2 49
 
4.7%
1 39
 
3.7%
5 32
 
3.1%
* 23
 
2.2%
_ 23
 
2.2%
3 20
 
1.9%
, 19
 
1.8%
Other values (19) 121
 
11.5%
Han
ValueCountFrequency (%)
家 1
33.3%
海 1
33.3%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12963
89.1%
ASCII 1543
 
10.6%
None 43
 
0.3%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
36.8%
) 77
 
5.0%
( 77
 
5.0%
G 52
 
3.4%
2 49
 
3.2%
S 46
 
3.0%
1 39
 
2.5%
5 32
 
2.1%
o 30
 
1.9%
A 27
 
1.7%
Other values (60) 546
35.4%
Hangul
ValueCountFrequency (%)
해 562
 
4.3%
남 549
 
4.2%
점 287
 
2.2%
스 242
 
1.9%
이 202
 
1.6%
리 189
 
1.5%
식 169
 
1.3%
마 147
 
1.1%
트 141
 
1.1%
사 139
 
1.1%
Other values (694) 10336
79.7%
None
ValueCountFrequency (%)
㈜ 21
48.8%
） 6
 
14.0%
（ 6
 
14.0%
． 5
 
11.6%
· 2
 
4.7%
８ 2
 
4.7%
， 1
 
2.3%
CJK
ValueCountFrequency (%)
家 1
33.3%
海 1
33.3%
愛 1
33.3%

가맹점기본주소
Text

Distinct1812
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T08:53:46.109417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length22.904509
Min length8

Characters and Unicode

Total characters51810
Distinct characters256
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

Unique1560 ?
Unique (%)69.0%

Sample

1st row경상남도 남해군 남해읍 화전로 104
2nd row경상남도 남해군 남해읍 스포츠로 11
3rd row경상남도 남해군 삼동면 동부대로 1235
4th row경상남도 남해군 남해읍 망운로21번가길 24-2
5th row경상남도 남해군 남면 남면로 918 프라임하우스
ValueCountFrequency (%)
남해군 2262
19.5%
경상남도 2139
18.5%
남해읍 1096
 
9.5%
화전로 387
 
3.3%
삼동면 302
 
2.6%
남면 182
 
1.6%
미조면 172
 
1.5%
창선면 163
 
1.4%
남해대로 152
 
1.3%
동부대로 135
 
1.2%
Other values (1381) 4591
39.6%
2023-12-11T08:53:46.488121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9320
18.0%
남 6286
 
12.1%
해 3603
 
7.0%
군 2269
 
4.4%
경 2264
 
4.4%
상 2255
 
4.4%
로 2220
 
4.3%
도 2145
 
4.1%
1 1891
 
3.6%
면 1371
 
2.6%
Other values (246) 18186
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32586
62.9%
Space Separator 9320
 
18.0%
Decimal Number 8698
 
16.8%
Dash Punctuation 763
 
1.5%
Close Punctuation 164
 
0.3%
Open Punctuation 164
 
0.3%
Other Punctuation 112
 
0.2%
Uppercase Letter 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 6286
19.3%
해 3603
11.1%
군 2269
 
7.0%
경 2264
 
6.9%
상 2255
 
6.9%
로 2220
 
6.8%
도 2145
 
6.6%
면 1371
 
4.2%
읍 1096
 
3.4%
길 874
 
2.7%
Other values (227) 8203
25.2%
Decimal Number
ValueCountFrequency (%)
1 1891
21.7%
2 1184
13.6%
3 847
9.7%
6 776
8.9%
7 767
8.8%
9 692
 
8.0%
8 681
 
7.8%
4 657
 
7.6%
5 631
 
7.3%
0 572
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 109
97.3%
. 3
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
9320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 763
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32586
62.9%
Common 19221
37.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 6286
19.3%
해 3603
11.1%
군 2269
 
7.0%
경 2264
 
6.9%
상 2255
 
6.9%
로 2220
 
6.8%
도 2145
 
6.6%
면 1371
 
4.2%
읍 1096
 
3.4%
길 874
 
2.7%
Other values (227) 8203
25.2%
Common
ValueCountFrequency (%)
9320
48.5%
1 1891
 
9.8%
2 1184
 
6.2%
3 847
 
4.4%
6 776
 
4.0%
7 767
 
4.0%
- 763
 
4.0%
9 692
 
3.6%
8 681
 
3.5%
4 657
 
3.4%
Other values (6) 1643
 
8.5%
Latin
ValueCountFrequency (%)
c 1
33.3%
M 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32586
62.9%
ASCII 19224
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9320
48.5%
1 1891
 
9.8%
2 1184
 
6.2%
3 847
 
4.4%
6 776
 
4.0%
7 767
 
4.0%
- 763
 
4.0%
9 692
 
3.6%
8 681
 
3.5%
4 657
 
3.4%
Other values (9) 1646
 
8.6%
Hangul
ValueCountFrequency (%)
남 6286
19.3%
해 3603
11.1%
군 2269
 
7.0%
경 2264
 
6.9%
상 2255
 
6.9%
로 2220
 
6.8%
도 2145
 
6.6%
면 1371
 
4.2%
읍 1096
 
3.4%
길 874
 
2.7%
Other values (227) 8203
25.2%

업종
Text

Distinct785
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T08:53:46.799013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.1622458
Min length1

Characters and Unicode

Total characters16201
Distinct characters410
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)24.7%

Sample

1st row의류
2nd row한식
3rd row한식
4th row어린이 실내놀이터
5th row민박업
ValueCountFrequency (%)
한식 396
 
8.8%
및 258
 
5.7%
음식점업 230
 
5.1%
일반 192
 
4.2%
소매업 169
 
3.7%
기타 144
 
3.2%
운영업 105
 
2.3%
생활 72
 
1.6%
숙박시설 72
 
1.6%
민박업 66
 
1.5%
Other values (912) 2821
62.3%
2023-12-11T08:53:47.282016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2265
 
14.0%
업 1039
 
6.4%
식 981
 
6.1%
점 462
 
2.9%
한 438
 
2.7%
, 414
 
2.6%
음 401
 
2.5%
일 296
 
1.8%
매 293
 
1.8%
및 283
 
1.7%
Other values (400) 9329
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13384
82.6%
Space Separator 2265
 
14.0%
Other Punctuation 463
 
2.9%
Open Punctuation 37
 
0.2%
Close Punctuation 36
 
0.2%
Uppercase Letter 15
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1039
 
7.8%
식 981
 
7.3%
점 462
 
3.5%
한 438
 
3.3%
음 401
 
3.0%
일 296
 
2.2%
매 293
 
2.2%
및 283
 
2.1%
기 277
 
2.1%
품 276
 
2.1%
Other values (383) 8638
64.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
P 3
20.0%
L 2
13.3%
V 2
13.3%
G 2
13.3%
A 1
 
6.7%
O 1
 
6.7%
T 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 414
89.4%
. 29
 
6.3%
/ 18
 
3.9%
· 1
 
0.2%
; 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13384
82.6%
Common 2802
 
17.3%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1039
 
7.8%
식 981
 
7.3%
점 462
 
3.5%
한 438
 
3.3%
음 401
 
3.0%
일 296
 
2.2%
매 293
 
2.2%
및 283
 
2.1%
기 277
 
2.1%
품 276
 
2.1%
Other values (383) 8638
64.5%
Common
ValueCountFrequency (%)
2265
80.8%
, 414
 
14.8%
( 37
 
1.3%
) 36
 
1.3%
. 29
 
1.0%
/ 18
 
0.6%
1 1
 
< 0.1%
· 1
 
< 0.1%
; 1
 
< 0.1%
Latin
ValueCountFrequency (%)
C 3
20.0%
P 3
20.0%
L 2
13.3%
V 2
13.3%
G 2
13.3%
A 1
 
6.7%
O 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13356
82.4%
ASCII 2816
 
17.4%
Compat Jamo 28
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2265
80.4%
, 414
 
14.7%
( 37
 
1.3%
) 36
 
1.3%
. 29
 
1.0%
/ 18
 
0.6%
C 3
 
0.1%
P 3
 
0.1%
L 2
 
0.1%
V 2
 
0.1%
Other values (6) 7
 
0.2%
Hangul
ValueCountFrequency (%)
업 1039
 
7.8%
식 981
 
7.3%
점 462
 
3.5%
한 438
 
3.3%
음 401
 
3.0%
일 296
 
2.2%
매 293
 
2.2%
및 283
 
2.1%
기 277
 
2.1%
품 276
 
2.1%
Other values (381) 8610
64.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 27
96.4%
ㅅ 1
 
3.6%
None
ValueCountFrequency (%)
· 1
100.0%

업태
Text

Distinct288
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size17.8 KiB
2023-12-11T08:53:47.604910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length6.6352785
Min length2

Characters and Unicode

Total characters15009
Distinct characters185
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)8.4%

Sample

1st row소매업
2nd row음식
3rd row음식점업
4th row기타 유사 여가관련 서비스업
5th row숙박 및 음식점업
ValueCountFrequency (%)
및 759
16.4%
음식점업 625
 
13.5%
소매업 395
 
8.5%
숙박 314
 
6.8%
서비스업 154
 
3.3%
음식 149
 
3.2%
도매 148
 
3.2%
소매 131
 
2.8%
서비스 127
 
2.7%
기타 85
 
1.8%
Other values (304) 1749
37.7%
2023-12-11T08:53:48.038563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2375
15.8%
업 1803
 
12.0%
식 926
 
6.2%
음 918
 
6.1%
매 909
 
6.1%
및 779
 
5.2%
점 730
 
4.9%
소 727
 
4.8%
박 441
 
2.9%
숙 440
 
2.9%
Other values (175) 4961
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12285
81.9%
Space Separator 2375
 
15.8%
Other Punctuation 346
 
2.3%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1803
14.7%
식 926
 
7.5%
음 918
 
7.5%
매 909
 
7.4%
및 779
 
6.3%
점 730
 
5.9%
소 727
 
5.9%
박 441
 
3.6%
숙 440
 
3.6%
비 376
 
3.1%
Other values (167) 4236
34.5%
Other Punctuation
ValueCountFrequency (%)
, 277
80.1%
. 62
 
17.9%
/ 6
 
1.7%
· 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2375
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12285
81.9%
Common 2724
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1803
14.7%
식 926
 
7.5%
음 918
 
7.5%
매 909
 
7.4%
및 779
 
6.3%
점 730
 
5.9%
소 727
 
5.9%
박 441
 
3.6%
숙 440
 
3.6%
비 376
 
3.1%
Other values (167) 4236
34.5%
Common
ValueCountFrequency (%)
2375
87.2%
, 277
 
10.2%
. 62
 
2.3%
/ 6
 
0.2%
1 1
 
< 0.1%
· 1
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12253
81.6%
ASCII 2723
 
18.1%
Compat Jamo 32
 
0.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2375
87.2%
, 277
 
10.2%
. 62
 
2.3%
/ 6
 
0.2%
1 1
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 1803
14.7%
식 926
 
7.6%
음 918
 
7.5%
매 909
 
7.4%
및 779
 
6.4%
점 730
 
6.0%
소 727
 
5.9%
박 441
 
3.6%
숙 440
 
3.6%
비 376
 
3.1%
Other values (166) 4204
34.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 32
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

Missing values

2023-12-11T08:53:45.136705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:53:45.211036image/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

가맹점명가맹점기본주소업종업태
0BYC남해점경상남도 남해군 남해읍 화전로 104의류소매업
1다나식당경상남도 남해군 남해읍 스포츠로 11한식음식
2촌놈밥상경상남도 남해군 삼동면 동부대로 1235한식음식점업
3아이점프경상남도 남해군 남해읍 망운로21번가길 24-2어린이 실내놀이터기타 유사 여가관련 서비스업
4프라임하우스경상남도 남해군 남면 남면로 918 프라임하우스민박업숙박 및 음식점업
5정우네맛있는이야기남해점경상남도 남해군 남해읍 화전로 100건어물및젓갈류도매및소매업
6멕시칸치킨경상남도 남해군 상주면 남해대로697번길 16치킨 전문점숙박 및 음식점업
7꽃뜰경상남도 남해군 남해읍 평현로51번길 33-5농산물,원예소매
8이음엘 주식회사경상남도 남해군 남해읍 망운로9번길 38미술심리상담, 적성상담그 외 기타 교육기관
9고등이용원경상남도 남해군 남해읍 화전로 57-1일반이용원서비스
가맹점명가맹점기본주소업종업태
2252한국야쿠르트 남해점 15경상남도 남해군 남해읍 화전로96번나길 15낙농제품 및 식용 빙과류 제조업낙농제품 및 식용 빙과류 제조업
2253세꼬시경상남도 남해군 남해읍 화전로 110식료품 소매업음ㆍ식료품 및 담배 소매업
2254새남해농협 도마지점 구매계경상남도 남해군 고현면 남해대로 3199대형 종합 소매업종합 소매업
2255카페루프탑경상남도 남해군 남면 남면로 946-4비알코올 음료점업주점 및 비알코올 음료점업
2256한국야쿠르트 남해점 6경상남도 남해군 남해읍 화전로96번나길 15낙농제품 및 식용 빙과류 제조업낙농제품 및 식용 빙과류 제조업
2257오시다인테리어디자인경상남도 남해군 남해읍 남해대로 2765도장, 도배 및 내장 공사업실내건축 및 건축마무리 공사업
2258남해밀냉면경상남도 남해군 남해읍 화전로96번나길 5한식 일반 음식점업숙박 및 음식점업
2259흔한남해경남 남해군 삼동면 삼이로 26외국식 음식점업음식점업
2260한국관경남 남해군 창선면 동부대로 2312한식 음식점업음식점업
2261남해전복물회경상남도 남해군 이동면 남해대로 2436,한식음식

Duplicate rows

Most frequently occurring

가맹점명가맹점기본주소업종업태# duplicates
3한려종합중기경상남도 남해군 남해읍 화전로 154(현대아파트상가 101동 203호)건설장비 운영업건설업7
0나인커피경상남도 남해군 남해읍 화전로 174일반음식음식2
1남해구판장경상남도 남해군 서면 남서대로2197번길 77간이음식음식점업2
2오휘남해경상남도 남해군 남해읍 화전로43번길 11-7방문 판매업도매 및 소매업2