Overview

Dataset statistics

Number of variables4
Number of observations3186
Missing cells1406
Missing cells (%)11.0%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory99.7 KiB
Average record size in memory32.0 B

Variable types

Text4

Dataset

Description부산광역시연제구식품접객업소현황(20181126)
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3043636

Alerts

Dataset has 3 (0.1%) duplicate rowsDuplicates
소재지전화 has 1406 (44.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:40:20.308523
Analysis finished2023-12-10 16:40:21.351963
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct3075
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T01:40:21.598776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length23
Mean length6.0743879
Min length1

Characters and Unicode

Total characters19353
Distinct characters856
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2976 ?
Unique (%)93.4%

Sample

1st row미니스톱 연산시티점
2nd row컴포즈교대점
3rd row언양진미식당
4th row할매순대국
5th row용문식당
ValueCountFrequency (%)
연산점 54
 
1.3%
시청점 18
 
0.4%
노래방 12
 
0.3%
부산시청점 12
 
0.3%
gs25 11
 
0.3%
칼국수 10
 
0.2%
토곡점 10
 
0.2%
연산토곡점 10
 
0.2%
치킨 10
 
0.2%
술마시는 9
 
0.2%
Other values (3461) 3949
96.2%
2023-12-11T01:40:22.056180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
923
 
4.8%
점 538
 
2.8%
산 401
 
2.1%
이 368
 
1.9%
연 321
 
1.7%
스 313
 
1.6%
리 263
 
1.4%
식 227
 
1.2%
시 225
 
1.2%
( 222
 
1.1%
Other values (846) 15552
80.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16903
87.3%
Space Separator 923
 
4.8%
Uppercase Letter 428
 
2.2%
Lowercase Letter 289
 
1.5%
Decimal Number 286
 
1.5%
Open Punctuation 223
 
1.2%
Close Punctuation 223
 
1.2%
Other Punctuation 68
 
0.4%
Dash Punctuation 9
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 538
 
3.2%
산 401
 
2.4%
이 368
 
2.2%
연 321
 
1.9%
스 313
 
1.9%
리 263
 
1.6%
식 227
 
1.3%
시 225
 
1.3%
주 206
 
1.2%
국 175
 
1.0%
Other values (774) 13866
82.0%
Uppercase Letter
ValueCountFrequency (%)
S 41
 
9.6%
C 40
 
9.3%
O 35
 
8.2%
G 34
 
7.9%
P 27
 
6.3%
A 26
 
6.1%
B 25
 
5.8%
K 23
 
5.4%
E 23
 
5.4%
M 22
 
5.1%
Other values (15) 132
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 51
17.6%
o 25
 
8.7%
a 24
 
8.3%
n 22
 
7.6%
i 22
 
7.6%
f 20
 
6.9%
r 19
 
6.6%
c 17
 
5.9%
t 15
 
5.2%
h 11
 
3.8%
Other values (12) 63
21.8%
Decimal Number
ValueCountFrequency (%)
2 56
19.6%
0 47
16.4%
1 44
15.4%
5 44
15.4%
9 25
8.7%
7 19
 
6.6%
3 16
 
5.6%
8 15
 
5.2%
4 11
 
3.8%
6 9
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 21
30.9%
& 18
26.5%
？ 15
22.1%
, 10
14.7%
' 1
 
1.5%
: 1
 
1.5%
# 1
 
1.5%
/ 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 222
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 222
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
923
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16876
87.2%
Common 1732
 
8.9%
Latin 718
 
3.7%
Han 25
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 538
 
3.2%
산 401
 
2.4%
이 368
 
2.2%
연 321
 
1.9%
스 313
 
1.9%
리 263
 
1.6%
식 227
 
1.3%
시 225
 
1.3%
주 206
 
1.2%
국 175
 
1.0%
Other values (749) 13839
82.0%
Latin
ValueCountFrequency (%)
e 51
 
7.1%
S 41
 
5.7%
C 40
 
5.6%
O 35
 
4.9%
G 34
 
4.7%
P 27
 
3.8%
A 26
 
3.6%
o 25
 
3.5%
B 25
 
3.5%
a 24
 
3.3%
Other values (38) 390
54.3%
Common
ValueCountFrequency (%)
923
53.3%
( 222
 
12.8%
) 222
 
12.8%
2 56
 
3.2%
0 47
 
2.7%
1 44
 
2.5%
5 44
 
2.5%
9 25
 
1.4%
. 21
 
1.2%
7 19
 
1.1%
Other values (14) 109
 
6.3%
Han
ValueCountFrequency (%)
海 2
 
8.0%
愛 2
 
8.0%
福 1
 
4.0%
人 1
 
4.0%
眞 1
 
4.0%
家 1
 
4.0%
椽 1
 
4.0%
佑 1
 
4.0%
庭 1
 
4.0%
深 1
 
4.0%
Other values (13) 13
52.0%
Hiragana
ValueCountFrequency (%)
よ 1
50.0%
い 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16875
87.2%
ASCII 2434
 
12.6%
CJK 25
 
0.1%
None 15
 
0.1%
Hiragana 2
 
< 0.1%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
923
37.9%
( 222
 
9.1%
) 222
 
9.1%
2 56
 
2.3%
e 51
 
2.1%
0 47
 
1.9%
1 44
 
1.8%
5 44
 
1.8%
S 41
 
1.7%
C 40
 
1.6%
Other values (60) 744
30.6%
Hangul
ValueCountFrequency (%)
점 538
 
3.2%
산 401
 
2.4%
이 368
 
2.2%
연 321
 
1.9%
스 313
 
1.9%
리 263
 
1.6%
식 227
 
1.3%
시 225
 
1.3%
주 206
 
1.2%
국 175
 
1.0%
Other values (748) 13838
82.0%
None
ValueCountFrequency (%)
？ 15
100.0%
CJK
ValueCountFrequency (%)
海 2
 
8.0%
愛 2
 
8.0%
福 1
 
4.0%
人 1
 
4.0%
眞 1
 
4.0%
家 1
 
4.0%
椽 1
 
4.0%
佑 1
 
4.0%
庭 1
 
4.0%
深 1
 
4.0%
Other values (13) 13
52.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Hiragana
ValueCountFrequency (%)
よ 1
50.0%
い 1
50.0%

소재지(도로명)
Text

Distinct2630
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T01:40:22.374969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length28.387947
Min length9

Characters and Unicode

Total characters90444
Distinct characters288
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2297 ?
Unique (%)72.1%

Sample

1st row부산광역시 연제구 중앙대로1043번길 11 (연산동)
2nd row부산광역시 연제구 교대로 18 (거제동)
3rd row부산광역시 연제구 교대로 11 (거제동)
4th row부산광역시 연제구 고분로 12-1 (연산동)
5th row부산광역시 연제구 거제천로 207-1 (거제동)
ValueCountFrequency (%)
부산광역시 3173
18.1%
연제구 3173
18.1%
연산동 2319
 
13.2%
1층 718
 
4.1%
거제동 571
 
3.3%
과정로 184
 
1.0%
반송로 174
 
1.0%
중앙대로 165
 
0.9%
월드컵대로 163
 
0.9%
고분로 148
 
0.8%
Other values (1355) 6757
38.5%
2023-12-11T01:40:22.976857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14359
 
15.9%
연 6053
 
6.7%
산 5803
 
6.4%
1 4530
 
5.0%
제 4190
 
4.6%
시 3448
 
3.8%
동 3392
 
3.8%
( 3307
 
3.7%
) 3307
 
3.7%
부 3249
 
3.6%
Other values (278) 38806
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53489
59.1%
Space Separator 14359
 
15.9%
Decimal Number 13582
 
15.0%
Open Punctuation 3307
 
3.7%
Close Punctuation 3307
 
3.7%
Other Punctuation 1635
 
1.8%
Dash Punctuation 525
 
0.6%
Uppercase Letter 194
 
0.2%
Math Symbol 43
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 6053
11.3%
산 5803
 
10.8%
제 4190
 
7.8%
시 3448
 
6.4%
동 3392
 
6.3%
부 3249
 
6.1%
광 3181
 
5.9%
역 3177
 
5.9%
로 3177
 
5.9%
구 3176
 
5.9%
Other values (239) 14643
27.4%
Uppercase Letter
ValueCountFrequency (%)
E 39
20.1%
A 32
16.5%
C 26
13.4%
P 15
 
7.7%
B 15
 
7.7%
L 13
 
6.7%
R 13
 
6.7%
D 10
 
5.2%
W 8
 
4.1%
S 6
 
3.1%
Other values (6) 17
8.8%
Decimal Number
ValueCountFrequency (%)
1 4530
33.4%
2 1952
14.4%
3 1479
 
10.9%
4 1028
 
7.6%
0 1010
 
7.4%
5 989
 
7.3%
8 732
 
5.4%
6 724
 
5.3%
7 594
 
4.4%
9 544
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1607
98.3%
. 19
 
1.2%
？ 6
 
0.4%
@ 2
 
0.1%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 17
39.5%
< 13
30.2%
> 13
30.2%
Space Separator
ValueCountFrequency (%)
14359
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 525
100.0%
Other Symbol
ValueCountFrequency (%)
㈌ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53491
59.1%
Common 36758
40.6%
Latin 194
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 6053
11.3%
산 5803
 
10.8%
제 4190
 
7.8%
시 3448
 
6.4%
동 3392
 
6.3%
부 3249
 
6.1%
광 3181
 
5.9%
역 3177
 
5.9%
로 3177
 
5.9%
구 3176
 
5.9%
Other values (239) 14645
27.4%
Common
ValueCountFrequency (%)
14359
39.1%
1 4530
 
12.3%
( 3307
 
9.0%
) 3307
 
9.0%
2 1952
 
5.3%
, 1607
 
4.4%
3 1479
 
4.0%
4 1028
 
2.8%
0 1010
 
2.7%
5 989
 
2.7%
Other values (12) 3190
 
8.7%
Latin
ValueCountFrequency (%)
E 39
20.1%
A 32
16.5%
C 26
13.4%
P 15
 
7.7%
B 15
 
7.7%
L 13
 
6.7%
R 13
 
6.7%
D 10
 
5.2%
W 8
 
4.1%
S 6
 
3.1%
Other values (6) 17
8.8%
Han
ValueCountFrequency (%)
俟 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53486
59.1%
ASCII 36946
40.8%
None 9
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14359
38.9%
1 4530
 
12.3%
( 3307
 
9.0%
) 3307
 
9.0%
2 1952
 
5.3%
, 1607
 
4.3%
3 1479
 
4.0%
4 1028
 
2.8%
0 1010
 
2.7%
5 989
 
2.7%
Other values (27) 3378
 
9.1%
Hangul
ValueCountFrequency (%)
연 6053
11.3%
산 5803
 
10.8%
제 4190
 
7.8%
시 3448
 
6.4%
동 3392
 
6.3%
부 3249
 
6.1%
광 3181
 
5.9%
역 3177
 
5.9%
로 3177
 
5.9%
구 3176
 
5.9%
Other values (237) 14640
27.4%
None
ValueCountFrequency (%)
？ 6
66.7%
㈌ 3
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅌ 2
100.0%
CJK
ValueCountFrequency (%)
俟 1
100.0%

소재지(지번)
Text

Distinct2379
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size25.0 KiB
2023-12-11T01:40:23.463109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length25.914626
Min length20

Characters and Unicode

Total characters82564
Distinct characters236
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

Unique1902 ?
Unique (%)59.7%

Sample

1st row부산광역시 연제구 연산동 1359번지 2호
2nd row부산광역시 연제구 거제동 89번지 41호
3rd row부산광역시 연제구 거제동 79번지 31호
4th row부산광역시 연제구 연산동 731번지 1호
5th row부산광역시 연제구 거제동 1번지 76호
ValueCountFrequency (%)
부산광역시 3186
19.2%
연제구 3186
19.2%
연산동 2558
15.4%
거제동 631
 
3.8%
1호 286
 
1.7%
2호 201
 
1.2%
3호 175
 
1.1%
7호 161
 
1.0%
4호 121
 
0.7%
5호 117
 
0.7%
Other values (960) 6010
36.1%
2023-12-11T01:40:24.043732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19181
23.2%
산 5809
 
7.0%
연 5787
 
7.0%
제 3832
 
4.6%
1 3549
 
4.3%
지 3304
 
4.0%
부 3287
 
4.0%
동 3258
 
3.9%
시 3255
 
3.9%
역 3196
 
3.9%
Other values (226) 28106
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46847
56.7%
Space Separator 19181
23.2%
Decimal Number 16062
 
19.5%
Close Punctuation 170
 
0.2%
Open Punctuation 170
 
0.2%
Other Punctuation 74
 
0.1%
Uppercase Letter 50
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 5809
12.4%
연 5787
12.4%
제 3832
8.2%
지 3304
 
7.1%
부 3287
 
7.0%
동 3258
 
7.0%
시 3255
 
6.9%
역 3196
 
6.8%
광 3196
 
6.8%
번 3189
 
6.8%
Other values (194) 8734
18.6%
Uppercase Letter
ValueCountFrequency (%)
E 10
20.0%
B 8
16.0%
C 6
12.0%
A 6
12.0%
W 4
 
8.0%
S 3
 
6.0%
I 3
 
6.0%
G 2
 
4.0%
D 2
 
4.0%
K 2
 
4.0%
Other values (3) 4
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 3549
22.1%
2 1924
12.0%
3 1795
11.2%
4 1503
9.4%
7 1466
9.1%
0 1360
 
8.5%
5 1314
 
8.2%
6 1136
 
7.1%
8 1039
 
6.5%
9 976
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 62
83.8%
. 9
 
12.2%
/ 2
 
2.7%
@ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
19181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46847
56.7%
Common 35667
43.2%
Latin 50
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 5809
12.4%
연 5787
12.4%
제 3832
8.2%
지 3304
 
7.1%
부 3287
 
7.0%
동 3258
 
7.0%
시 3255
 
6.9%
역 3196
 
6.8%
광 3196
 
6.8%
번 3189
 
6.8%
Other values (194) 8734
18.6%
Common
ValueCountFrequency (%)
19181
53.8%
1 3549
 
10.0%
2 1924
 
5.4%
3 1795
 
5.0%
4 1503
 
4.2%
7 1466
 
4.1%
0 1360
 
3.8%
5 1314
 
3.7%
6 1136
 
3.2%
8 1039
 
2.9%
Other values (9) 1400
 
3.9%
Latin
ValueCountFrequency (%)
E 10
20.0%
B 8
16.0%
C 6
12.0%
A 6
12.0%
W 4
 
8.0%
S 3
 
6.0%
I 3
 
6.0%
G 2
 
4.0%
D 2
 
4.0%
K 2
 
4.0%
Other values (3) 4
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46847
56.7%
ASCII 35717
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19181
53.7%
1 3549
 
9.9%
2 1924
 
5.4%
3 1795
 
5.0%
4 1503
 
4.2%
7 1466
 
4.1%
0 1360
 
3.8%
5 1314
 
3.7%
6 1136
 
3.2%
8 1039
 
2.9%
Other values (22) 1450
 
4.1%
Hangul
ValueCountFrequency (%)
산 5809
12.4%
연 5787
12.4%
제 3832
8.2%
지 3304
 
7.1%
부 3287
 
7.0%
동 3258
 
7.0%
시 3255
 
6.9%
역 3196
 
6.8%
광 3196
 
6.8%
번 3189
 
6.8%
Other values (194) 8734
18.6%

소재지전화
Text

MISSING 

Distinct1741
Distinct (%)97.8%
Missing1406
Missing (%)44.1%
Memory size25.0 KiB
2023-12-11T01:40:24.368846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008427
Min length9

Characters and Unicode

Total characters21375
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

Unique1711 ?
Unique (%)96.1%

Sample

1st row051-866-4094
2nd row051-504-7226
3rd row051-866-9008
4th row051-864-6005
5th row051-864-6005
ValueCountFrequency (%)
051-500-8000 10
 
0.6%
051-505-5335 3
 
0.2%
051-502-9436 2
 
0.1%
051-853-1600 2
 
0.1%
051-860-1052 2
 
0.1%
051-862-9127 2
 
0.1%
051-867-8838 2
 
0.1%
051-853-4114 2
 
0.1%
051-866-2260 2
 
0.1%
051-862-3030 2
 
0.1%
Other values (1731) 1751
98.4%
2023-12-11T01:40:24.882750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3558
16.6%
5 3473
16.2%
0 3008
14.1%
1 2751
12.9%
8 2170
10.2%
6 1583
7.4%
7 1168
 
5.5%
2 1052
 
4.9%
3 1049
 
4.9%
9 837
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17817
83.4%
Dash Punctuation 3558
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3473
19.5%
0 3008
16.9%
1 2751
15.4%
8 2170
12.2%
6 1583
8.9%
7 1168
 
6.6%
2 1052
 
5.9%
3 1049
 
5.9%
9 837
 
4.7%
4 726
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 3558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21375
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3558
16.6%
5 3473
16.2%
0 3008
14.1%
1 2751
12.9%
8 2170
10.2%
6 1583
7.4%
7 1168
 
5.5%
2 1052
 
4.9%
3 1049
 
4.9%
9 837
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3558
16.6%
5 3473
16.2%
0 3008
14.1%
1 2751
12.9%
8 2170
10.2%
6 1583
7.4%
7 1168
 
5.5%
2 1052
 
4.9%
3 1049
 
4.9%
9 837
 
3.9%

Missing values

2023-12-11T01:40:21.217779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:40:21.307088image/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

업소명소재지(도로명)소재지(지번)소재지전화
0미니스톱 연산시티점부산광역시 연제구 중앙대로1043번길 11 (연산동)부산광역시 연제구 연산동 1359번지 2호051-866-4094
1컴포즈교대점부산광역시 연제구 교대로 18 (거제동)부산광역시 연제구 거제동 89번지 41호<NA>
2언양진미식당부산광역시 연제구 교대로 11 (거제동)부산광역시 연제구 거제동 79번지 31호051-504-7226
3할매순대국부산광역시 연제구 고분로 12-1 (연산동)부산광역시 연제구 연산동 731번지 1호051-866-9008
4용문식당부산광역시 연제구 거제천로 207-1 (거제동)부산광역시 연제구 거제동 1번지 76호051-864-6005
5용문각부산광역시 연제구 거제천로 209 (거제동)부산광역시 연제구 거제동 1번지 75호051-864-6005
6노랑통닭부산광역시 연제구 월드컵대로114번길 4 (연산동)부산광역시 연제구 연산동 676번지 50호051-865-1252
7처갓집양념치킨(연제점)부산광역시 연제구 거제천로 183 (거제동)부산광역시 연제구 거제동 2번지 74호051-866-9050
8옥천해물칼국수부산광역시 연제구 과정로344번길 47 (연산동)부산광역시 연제구 연산동 305번지 14호051-853-3294
9오륜대 향어부산광역시 연제구 중앙대로1120번길 13 (연산동)부산광역시 연제구 연산동 675번지 16호<NA>
업소명소재지(도로명)소재지(지번)소재지전화
3176던킨도너츠 부산시청역사부산광역시 연제구 중앙대로 지하 1017 (연산동)부산광역시 연제구 연산동 1515번지 1호<NA>
3177브레드팩토리(BREAD FACTORY)부산광역시 연제구 묘봉산로 4, 상가동 1층 104호 (연산동)부산광역시 연제구 연산동 1136번지 5호<NA>
3178니어브레드부산광역시 연제구 아시아드대로 46, 1층 (거제동)부산광역시 연제구 거제동 920번지 1호<NA>
3179월광부산광역시 연제구 신금로 25, 노블레스스퀘어 1층 117호 (연산동)부산광역시 연제구 연산동 302번지 3호<NA>
3180오늘식빵부산광역시 연제구 법원북로 75, 1층 (거제동)부산광역시 연제구 거제동 386번지 26호<NA>
3181정항우케익부산광역시 연제구 신금로 21, 1층 (연산동)부산광역시 연제구 연산동 303번지 31호<NA>
3182탑스베이커리 연제점부산광역시 연제구 중앙대로 1174, 1층 (거제동)부산광역시 연제구 거제동 1470번지 14호<NA>
3183갓식빵 연산파크시티점부산광역시 연제구 신금로 25, 노블레스스퀘어 103호 (연산동)부산광역시 연제구 연산동 302번지 3호<NA>
3184파리바게뜨 연산한양점부산광역시 연제구 과정로 232-1, 지하1~1층 (연산동)부산광역시 연제구 연산동 399번지 11호<NA>
3185파트아팡부산광역시 연제구 아시아드대로22번길 36, 401동 103호 (거제동, 거제푸르지오)부산광역시 연제구 거제동 1506번지 거제푸르지오<NA>

Duplicate rows

Most frequently occurring

업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0(주)유니온푸드 부산법원부산광역시 연제구 법원로 31, 부산법원종합청사 지하1층 (거제동)부산광역시 연제구 거제동 1500번지 부산법원종합청사<NA>2
1(주)이마트연제점부산광역시 연제구 연수로 89 (연산동)부산광역시 연제구 연산동 822번지 7호051-860-10522
2바카스노래주점부산광역시 연제구 중앙대로1120번길 15 (연산동)부산광역시 연제구 연산동 677번지 20호<NA>2