Overview

Dataset statistics

Number of variables5
Number of observations1539
Missing cells1177
Missing cells (%)15.3%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory60.2 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시 부산진구 내 등록된 휴게음식점 현황정보를 제공합니다업소명,지역구,주소 등의 정보를 제공하고 있습니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15025549/fileData.do

Alerts

업종명 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
소재지전화 has 1167 (75.8%) missing valuesMissing

Reproduction

Analysis started2023-12-13 00:11:01.620970
Analysis finished2023-12-13 00:11:02.353983
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
휴게음식점
1539 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1539
100.0%

Length

2023-12-13T09:11:02.402149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:11:02.470376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1539
100.0%

업소명
Text

Distinct1510
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-13T09:11:02.641987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length8.3580247
Min length1

Characters and Unicode

Total characters12863
Distinct characters686
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1491 ?
Unique (%)96.9%

Sample

1st row명신
2nd row내고향전통찻집
3rd row제일
4th row혜성
5th row너랑나랑
ValueCountFrequency (%)
세븐일레븐 37
 
1.8%
서면점 28
 
1.3%
씨유 20
 
0.9%
스타벅스 19
 
0.9%
coffee 17
 
0.8%
컴포즈커피 12
 
0.6%
텐퍼센트커피 12
 
0.6%
양정점 12
 
0.6%
지에스25 11
 
0.5%
카페 10
 
0.5%
Other values (1655) 1932
91.6%
2023-12-13T09:11:03.000899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 709
 
5.5%
572
 
4.4%
스 357
 
2.8%
피 286
 
2.2%
이 264
 
2.1%
부 257
 
2.0%
커 246
 
1.9%
서 212
 
1.6%
산 203
 
1.6%
면 198
 
1.5%
Other values (676) 9559
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10536
81.9%
Space Separator 572
 
4.4%
Lowercase Letter 552
 
4.3%
Uppercase Letter 460
 
3.6%
Decimal Number 347
 
2.7%
Close Punctuation 187
 
1.5%
Open Punctuation 187
 
1.5%
Other Punctuation 21
 
0.2%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 709
 
6.7%
스 357
 
3.4%
피 286
 
2.7%
이 264
 
2.5%
부 257
 
2.4%
커 246
 
2.3%
서 212
 
2.0%
산 203
 
1.9%
면 198
 
1.9%
페 151
 
1.4%
Other values (607) 7653
72.6%
Uppercase Letter
ValueCountFrequency (%)
C 53
 
11.5%
S 46
 
10.0%
E 44
 
9.6%
G 39
 
8.5%
O 35
 
7.6%
F 27
 
5.9%
A 25
 
5.4%
R 20
 
4.3%
P 19
 
4.1%
N 18
 
3.9%
Other values (15) 134
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 91
16.5%
o 55
 
10.0%
a 55
 
10.0%
c 45
 
8.2%
f 39
 
7.1%
r 32
 
5.8%
n 29
 
5.3%
y 22
 
4.0%
s 20
 
3.6%
p 18
 
3.3%
Other values (14) 146
26.4%
Decimal Number
ValueCountFrequency (%)
2 111
32.0%
5 95
27.4%
1 33
 
9.5%
4 27
 
7.8%
0 24
 
6.9%
8 15
 
4.3%
3 15
 
4.3%
9 14
 
4.0%
6 9
 
2.6%
7 4
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 6
28.6%
, 5
23.8%
& 4
19.0%
' 4
19.0%
? 1
 
4.8%
! 1
 
4.8%
Space Separator
ValueCountFrequency (%)
572
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10533
81.9%
Common 1315
 
10.2%
Latin 1012
 
7.9%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 709
 
6.7%
스 357
 
3.4%
피 286
 
2.7%
이 264
 
2.5%
부 257
 
2.4%
커 246
 
2.3%
서 212
 
2.0%
산 203
 
1.9%
면 198
 
1.9%
페 151
 
1.4%
Other values (604) 7650
72.6%
Latin
ValueCountFrequency (%)
e 91
 
9.0%
o 55
 
5.4%
a 55
 
5.4%
C 53
 
5.2%
S 46
 
4.5%
c 45
 
4.4%
E 44
 
4.3%
f 39
 
3.9%
G 39
 
3.9%
O 35
 
3.5%
Other values (39) 510
50.4%
Common
ValueCountFrequency (%)
572
43.5%
) 187
 
14.2%
( 187
 
14.2%
2 111
 
8.4%
5 95
 
7.2%
1 33
 
2.5%
4 27
 
2.1%
0 24
 
1.8%
8 15
 
1.1%
3 15
 
1.1%
Other values (10) 49
 
3.7%
Han
ValueCountFrequency (%)
愛 1
33.3%
食 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10533
81.9%
ASCII 2327
 
18.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 709
 
6.7%
스 357
 
3.4%
피 286
 
2.7%
이 264
 
2.5%
부 257
 
2.4%
커 246
 
2.3%
서 212
 
2.0%
산 203
 
1.9%
면 198
 
1.9%
페 151
 
1.4%
Other values (604) 7650
72.6%
ASCII
ValueCountFrequency (%)
572
24.6%
) 187
 
8.0%
( 187
 
8.0%
2 111
 
4.8%
5 95
 
4.1%
e 91
 
3.9%
o 55
 
2.4%
a 55
 
2.4%
C 53
 
2.3%
S 46
 
2.0%
Other values (59) 875
37.6%
CJK
ValueCountFrequency (%)
愛 1
33.3%
食 1
33.3%
家 1
33.3%

소재지(도로명)
Text

Distinct1465
Distinct (%)95.8%
Missing10
Missing (%)0.6%
Memory size12.2 KiB
2023-12-13T09:11:03.232688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length57
Mean length34.811642
Min length22

Characters and Unicode

Total characters53227
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1422 ?
Unique (%)93.0%

Sample

1st row부산광역시 부산진구 새싹로8번길 26 (부전동)
2nd row부산광역시 부산진구 서면문화로 8-4 (부전동)
3rd row부산광역시 부산진구 새싹로28번길 8 (부전동)
4th row부산광역시 부산진구 연수로 43 (양정동)
5th row부산광역시 부산진구 범전로5번길 12 (부전동)
ValueCountFrequency (%)
부산광역시 1529
 
15.1%
부산진구 1529
 
15.1%
1층 801
 
7.9%
부전동 402
 
4.0%
전포동 270
 
2.7%
양정동 142
 
1.4%
가야대로 132
 
1.3%
개금동 129
 
1.3%
중앙대로 122
 
1.2%
2층 117
 
1.2%
Other values (1420) 4939
48.8%
2023-12-13T09:11:03.566593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8583
 
16.1%
부 3770
 
7.1%
산 3127
 
5.9%
1 2526
 
4.7%
동 1893
 
3.6%
, 1796
 
3.4%
( 1594
 
3.0%
) 1593
 
3.0%
광 1591
 
3.0%
시 1586
 
3.0%
Other values (327) 25168
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31294
58.8%
Space Separator 8583
 
16.1%
Decimal Number 8030
 
15.1%
Other Punctuation 1798
 
3.4%
Open Punctuation 1594
 
3.0%
Close Punctuation 1593
 
3.0%
Dash Punctuation 219
 
0.4%
Uppercase Letter 96
 
0.2%
Math Symbol 13
 
< 0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3770
 
12.0%
산 3127
 
10.0%
동 1893
 
6.0%
광 1591
 
5.1%
시 1586
 
5.1%
진 1563
 
5.0%
역 1555
 
5.0%
로 1533
 
4.9%
구 1531
 
4.9%
층 1370
 
4.4%
Other values (285) 11775
37.6%
Uppercase Letter
ValueCountFrequency (%)
B 29
30.2%
A 11
 
11.5%
S 7
 
7.3%
N 7
 
7.3%
C 7
 
7.3%
K 6
 
6.2%
Y 5
 
5.2%
D 3
 
3.1%
G 3
 
3.1%
L 3
 
3.1%
Other values (11) 15
15.6%
Decimal Number
ValueCountFrequency (%)
1 2526
31.5%
2 1115
13.9%
0 736
 
9.2%
3 634
 
7.9%
6 608
 
7.6%
7 574
 
7.1%
4 535
 
6.7%
5 501
 
6.2%
8 415
 
5.2%
9 386
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1796
99.9%
· 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
71.4%
b 1
 
14.3%
a 1
 
14.3%
Space Separator
ValueCountFrequency (%)
8583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1593
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31294
58.8%
Common 21830
41.0%
Latin 103
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3770
 
12.0%
산 3127
 
10.0%
동 1893
 
6.0%
광 1591
 
5.1%
시 1586
 
5.1%
진 1563
 
5.0%
역 1555
 
5.0%
로 1533
 
4.9%
구 1531
 
4.9%
층 1370
 
4.4%
Other values (285) 11775
37.6%
Latin
ValueCountFrequency (%)
B 29
28.2%
A 11
 
10.7%
S 7
 
6.8%
N 7
 
6.8%
C 7
 
6.8%
K 6
 
5.8%
Y 5
 
4.9%
e 5
 
4.9%
D 3
 
2.9%
G 3
 
2.9%
Other values (14) 20
19.4%
Common
ValueCountFrequency (%)
8583
39.3%
1 2526
 
11.6%
, 1796
 
8.2%
( 1594
 
7.3%
) 1593
 
7.3%
2 1115
 
5.1%
0 736
 
3.4%
3 634
 
2.9%
6 608
 
2.8%
7 574
 
2.6%
Other values (8) 2071
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31294
58.8%
ASCII 21932
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8583
39.1%
1 2526
 
11.5%
, 1796
 
8.2%
( 1594
 
7.3%
) 1593
 
7.3%
2 1115
 
5.1%
0 736
 
3.4%
3 634
 
2.9%
6 608
 
2.8%
7 574
 
2.6%
Other values (31) 2173
 
9.9%
Hangul
ValueCountFrequency (%)
부 3770
 
12.0%
산 3127
 
10.0%
동 1893
 
6.0%
광 1591
 
5.1%
시 1586
 
5.1%
진 1563
 
5.0%
역 1555
 
5.0%
로 1533
 
4.9%
구 1531
 
4.9%
층 1370
 
4.4%
Other values (285) 11775
37.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct1294
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-13T09:11:03.809119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length54
Mean length24.780377
Min length18

Characters and Unicode

Total characters38137
Distinct characters309
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1162 ?
Unique (%)75.5%

Sample

1st row부산광역시 부산진구 부전동 266-7
2nd row부산광역시 부산진구 부전동 259-3
3rd row부산광역시 부산진구 부전동 396-1
4th row부산광역시 부산진구 양정동 138-9
5th row부산광역시 부산진구 부전동 32-7
ValueCountFrequency (%)
부산광역시 1539
22.0%
부산진구 1539
22.0%
부전동 424
 
6.1%
전포동 276
 
3.9%
양정동 146
 
2.1%
개금동 137
 
2.0%
범천동 116
 
1.7%
가야동 110
 
1.6%
당감동 102
 
1.5%
부암동 83
 
1.2%
Other values (1586) 2535
36.2%
2023-12-13T09:11:04.164152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6976
18.3%
부 3695
 
9.7%
산 3134
 
8.2%
동 1609
 
4.2%
시 1570
 
4.1%
역 1565
 
4.1%
진 1553
 
4.1%
광 1542
 
4.0%
구 1541
 
4.0%
1 1422
 
3.7%
Other values (299) 13530
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22214
58.2%
Decimal Number 7276
 
19.1%
Space Separator 6976
 
18.3%
Dash Punctuation 1408
 
3.7%
Open Punctuation 70
 
0.2%
Close Punctuation 69
 
0.2%
Other Punctuation 63
 
0.2%
Uppercase Letter 52
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3695
16.6%
산 3134
14.1%
동 1609
 
7.2%
시 1570
 
7.1%
역 1565
 
7.0%
진 1553
 
7.0%
광 1542
 
6.9%
구 1541
 
6.9%
전 748
 
3.4%
포 287
 
1.3%
Other values (260) 4970
22.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
15.4%
S 7
13.5%
Y 5
9.6%
G 4
 
7.7%
K 4
 
7.7%
C 4
 
7.7%
A 3
 
5.8%
L 3
 
5.8%
D 2
 
3.8%
V 2
 
3.8%
Other values (10) 10
19.2%
Decimal Number
ValueCountFrequency (%)
1 1422
19.5%
2 896
12.3%
3 866
11.9%
5 775
10.7%
6 678
9.3%
4 650
8.9%
7 548
 
7.5%
8 530
 
7.3%
0 502
 
6.9%
9 409
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 60
95.2%
@ 2
 
3.2%
· 1
 
1.6%
Space Separator
ValueCountFrequency (%)
6976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22214
58.2%
Common 15866
41.6%
Latin 57
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3695
16.6%
산 3134
14.1%
동 1609
 
7.2%
시 1570
 
7.1%
역 1565
 
7.0%
진 1553
 
7.0%
광 1542
 
6.9%
구 1541
 
6.9%
전 748
 
3.4%
포 287
 
1.3%
Other values (260) 4970
22.4%
Latin
ValueCountFrequency (%)
B 8
14.0%
S 7
12.3%
e 5
8.8%
Y 5
8.8%
G 4
 
7.0%
K 4
 
7.0%
C 4
 
7.0%
A 3
 
5.3%
L 3
 
5.3%
D 2
 
3.5%
Other values (11) 12
21.1%
Common
ValueCountFrequency (%)
6976
44.0%
1 1422
 
9.0%
- 1408
 
8.9%
2 896
 
5.6%
3 866
 
5.5%
5 775
 
4.9%
6 678
 
4.3%
4 650
 
4.1%
7 548
 
3.5%
8 530
 
3.3%
Other values (8) 1117
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22214
58.2%
ASCII 15922
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6976
43.8%
1 1422
 
8.9%
- 1408
 
8.8%
2 896
 
5.6%
3 866
 
5.4%
5 775
 
4.9%
6 678
 
4.3%
4 650
 
4.1%
7 548
 
3.4%
8 530
 
3.3%
Other values (28) 1173
 
7.4%
Hangul
ValueCountFrequency (%)
부 3695
16.6%
산 3134
14.1%
동 1609
 
7.2%
시 1570
 
7.1%
역 1565
 
7.0%
진 1553
 
7.0%
광 1542
 
6.9%
구 1541
 
6.9%
전 748
 
3.4%
포 287
 
1.3%
Other values (260) 4970
22.4%
None
ValueCountFrequency (%)
· 1
100.0%

소재지전화
Text

MISSING 

Distinct362
Distinct (%)97.3%
Missing1167
Missing (%)75.8%
Memory size12.2 KiB
2023-12-13T09:11:04.393906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.736559
Min length1

Characters and Unicode

Total characters5110
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique358 ?
Unique (%)96.2%

Sample

1st row 051- 808-8331
2nd row070 -8166-8430
3rd row 051- 818-8666
4th row 051- 868-5777
5th row 051- 809-0795
ValueCountFrequency (%)
051 308
34.1%
02 13
 
1.4%
070 13
 
1.4%
808 13
 
1.4%
803 10
 
1.1%
816 9
 
1.0%
802 8
 
0.9%
807 7
 
0.8%
818 7
 
0.8%
898 7
 
0.8%
Other values (434) 509
56.3%
2023-12-13T09:11:04.718344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 748
14.6%
- 732
14.3%
705
13.8%
1 589
11.5%
5 530
10.4%
8 481
9.4%
9 246
 
4.8%
3 241
 
4.7%
2 238
 
4.7%
7 235
 
4.6%
Other values (2) 365
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3673
71.9%
Dash Punctuation 732
 
14.3%
Space Separator 705
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 748
20.4%
1 589
16.0%
5 530
14.4%
8 481
13.1%
9 246
 
6.7%
3 241
 
6.6%
2 238
 
6.5%
7 235
 
6.4%
6 218
 
5.9%
4 147
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 732
100.0%
Space Separator
ValueCountFrequency (%)
705
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5110
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 748
14.6%
- 732
14.3%
705
13.8%
1 589
11.5%
5 530
10.4%
8 481
9.4%
9 246
 
4.8%
3 241
 
4.7%
2 238
 
4.7%
7 235
 
4.6%
Other values (2) 365
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5110
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 748
14.6%
- 732
14.3%
705
13.8%
1 589
11.5%
5 530
10.4%
8 481
9.4%
9 246
 
4.8%
3 241
 
4.7%
2 238
 
4.7%
7 235
 
4.6%
Other values (2) 365
7.1%

Missing values

2023-12-13T09:11:02.184388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:11:02.255391image/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.
2023-12-13T09:11:02.319884image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0휴게음식점명신부산광역시 부산진구 새싹로8번길 26 (부전동)부산광역시 부산진구 부전동 266-7051- 808-8331
1휴게음식점내고향전통찻집부산광역시 부산진구 서면문화로 8-4 (부전동)부산광역시 부산진구 부전동 259-3<NA>
2휴게음식점제일부산광역시 부산진구 새싹로28번길 8 (부전동)부산광역시 부산진구 부전동 396-1<NA>
3휴게음식점혜성부산광역시 부산진구 연수로 43 (양정동)부산광역시 부산진구 양정동 138-9070 -8166-8430
4휴게음식점너랑나랑부산광역시 부산진구 범전로5번길 12 (부전동)부산광역시 부산진구 부전동 32-7051- 818-8666
5휴게음식점아세아<NA>부산광역시 부산진구 부전동 6-5<NA>
6휴게음식점삼영다방부산광역시 부산진구 진사로77번길 29 (개금동)부산광역시 부산진구 개금동 633-29<NA>
7휴게음식점명다방부산광역시 부산진구 범일로 185 (범천동)부산광역시 부산진구 범천동 877-1<NA>
8휴게음식점독일제과부산광역시 부산진구 대학로 10-13 (가야동)부산광역시 부산진구 가야동 271-13<NA>
9휴게음식점행운부산광역시 부산진구 중앙대로 971 (양정동)부산광역시 부산진구 양정동 131-8051- 868-5777
업종명업소명소재지(도로명)소재지(지번)소재지전화
1529휴게음식점JMT CAFE(제이엠티 카페) 당감점부산광역시 부산진구 당감로 57, 1층 (당감동)부산광역시 부산진구 당감동 730-82<NA>
1530휴게음식점그레이코드(Greycord)부산광역시 부산진구 동성로15번길 25, 1층 (전포동)부산광역시 부산진구 전포동 364-2<NA>
1531휴게음식점세븐일레븐 부산서면제일점부산광역시 부산진구 서면로 29, 1층 (부전동)부산광역시 부산진구 부전동 522-49<NA>
1532휴게음식점서울 마님죽부산광역시 부산진구 동평로 410, 양정동근린생활시설 1층 (양정동)부산광역시 부산진구 양정동 370-1 양정동근린생활시설<NA>
1533휴게음식점만두한개 커피한잔부산광역시 부산진구 당감로 30, 1층 (당감동)부산광역시 부산진구 당감동 275-11<NA>
1534휴게음식점크리스피크림도넛 부산양정역점부산광역시 부산진구 중앙대로 지하 930, 양정역 지하1층 (양정동)부산광역시 부산진구 양정동 408-4 양정역<NA>
1535휴게음식점오엑스pc 백양터널점부산광역시 부산진구 백양관문로 106, 4층 (당감동)부산광역시 부산진구 당감동 810-1<NA>
1536휴게음식점슈즈닥터부산광역시 부산진구 자유평화로 7, 평화도매시장 지하1층 비7,8,9 일부호 (범천동)부산광역시 부산진구 범천동 839-212 평화도매시장<NA>
1537휴게음식점원장쌤 떡볶이부산광역시 부산진구 진남로 527, 2층 (양정동)부산광역시 부산진구 양정동 342-70<NA>
1538휴게음식점크로왕 서면점부산광역시 부산진구 동성로 50, 상가1동 지하1층 3호 (전포동, 서면아이파크아파트)부산광역시 부산진구 전포동 908 서면아이파크아파트<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)소재지전화# duplicates
0휴게음식점롯데쇼핑(주)롯데키즈마트 부산점부산광역시 부산진구 신천대로 241 (부암동,롯데키즈마트부산점(1층))부산광역시 부산진구 부암동 257 롯데키즈마트부산점(1층)051 -608 -25002