Overview

Dataset statistics

Number of variables5
Number of observations1542
Missing cells1180
Missing cells (%)15.3%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory60.4 KiB
Average record size in memory40.1 B

Variable types

Categorical1
Text4

Dataset

Description부산광역시부산진구휴게음식점현황_20221018
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025549

Alerts

업종명 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
소재지전화 has 1170 (75.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:28:08.910008
Analysis finished2023-12-10 16:28:10.239418
Duration1.33 second
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
1542 

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 1542
100.0%

Length

2023-12-11T01:28:10.345279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:28:10.494499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1542
100.0%

업소명
Text

Distinct1509
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T01:28:10.842947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length8.1971466
Min length1

Characters and Unicode

Total characters12640
Distinct characters697
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

Unique1485 ?
Unique (%)96.3%

Sample

1st row명신
2nd row내고향전통찻집
3rd row제일
4th row혜성
5th row너랑나랑
ValueCountFrequency (%)
세븐일레븐 31
 
1.5%
서면점 22
 
1.1%
coffee 21
 
1.0%
스타벅스 15
 
0.7%
씨유 12
 
0.6%
카페 11
 
0.5%
텐퍼센트커피 10
 
0.5%
컴포즈커피 9
 
0.4%
커피 8
 
0.4%
부전역점 7
 
0.3%
Other values (1649) 1856
92.7%
2023-12-11T01:28:11.633467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 666
 
5.3%
461
 
3.6%
스 380
 
3.0%
피 295
 
2.3%
이 272
 
2.2%
부 252
 
2.0%
커 248
 
2.0%
서 213
 
1.7%
) 211
 
1.7%
( 211
 
1.7%
Other values (687) 9431
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10302
81.5%
Uppercase Letter 598
 
4.7%
Lowercase Letter 514
 
4.1%
Space Separator 461
 
3.6%
Decimal Number 324
 
2.6%
Close Punctuation 211
 
1.7%
Open Punctuation 211
 
1.7%
Other Punctuation 17
 
0.1%
Dash Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 666
 
6.5%
스 380
 
3.7%
피 295
 
2.9%
이 272
 
2.6%
부 252
 
2.4%
커 248
 
2.4%
서 213
 
2.1%
면 201
 
2.0%
산 196
 
1.9%
페 151
 
1.5%
Other values (616) 7428
72.1%
Uppercase Letter
ValueCountFrequency (%)
E 63
 
10.5%
C 62
 
10.4%
S 59
 
9.9%
O 51
 
8.5%
G 41
 
6.9%
F 34
 
5.7%
A 31
 
5.2%
P 29
 
4.8%
N 29
 
4.8%
R 27
 
4.5%
Other values (16) 172
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 93
18.1%
o 54
 
10.5%
a 53
 
10.3%
f 38
 
7.4%
c 35
 
6.8%
n 26
 
5.1%
r 23
 
4.5%
s 18
 
3.5%
y 18
 
3.5%
l 15
 
2.9%
Other values (14) 141
27.4%
Decimal Number
ValueCountFrequency (%)
2 105
32.4%
5 92
28.4%
1 33
 
10.2%
0 23
 
7.1%
4 22
 
6.8%
3 14
 
4.3%
9 13
 
4.0%
8 8
 
2.5%
6 8
 
2.5%
7 6
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 5
29.4%
. 4
23.5%
' 3
17.6%
& 3
17.6%
# 1
 
5.9%
; 1
 
5.9%
Space Separator
ValueCountFrequency (%)
461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10302
81.5%
Common 1226
 
9.7%
Latin 1112
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 666
 
6.5%
스 380
 
3.7%
피 295
 
2.9%
이 272
 
2.6%
부 252
 
2.4%
커 248
 
2.4%
서 213
 
2.1%
면 201
 
2.0%
산 196
 
1.9%
페 151
 
1.5%
Other values (616) 7428
72.1%
Latin
ValueCountFrequency (%)
e 93
 
8.4%
E 63
 
5.7%
C 62
 
5.6%
S 59
 
5.3%
o 54
 
4.9%
a 53
 
4.8%
O 51
 
4.6%
G 41
 
3.7%
f 38
 
3.4%
c 35
 
3.1%
Other values (40) 563
50.6%
Common
ValueCountFrequency (%)
461
37.6%
) 211
17.2%
( 211
17.2%
2 105
 
8.6%
5 92
 
7.5%
1 33
 
2.7%
0 23
 
1.9%
4 22
 
1.8%
3 14
 
1.1%
9 13
 
1.1%
Other values (11) 41
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10302
81.5%
ASCII 2338
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 666
 
6.5%
스 380
 
3.7%
피 295
 
2.9%
이 272
 
2.6%
부 252
 
2.4%
커 248
 
2.4%
서 213
 
2.1%
면 201
 
2.0%
산 196
 
1.9%
페 151
 
1.5%
Other values (616) 7428
72.1%
ASCII
ValueCountFrequency (%)
461
19.7%
) 211
 
9.0%
( 211
 
9.0%
2 105
 
4.5%
e 93
 
4.0%
5 92
 
3.9%
E 63
 
2.7%
C 62
 
2.7%
S 59
 
2.5%
o 54
 
2.3%
Other values (61) 927
39.6%

소재지(도로명)
Text

Distinct1472
Distinct (%)96.1%
Missing10
Missing (%)0.6%
Memory size12.2 KiB
2023-12-11T01:28:12.112974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length56
Mean length34.620104
Min length22

Characters and Unicode

Total characters53038
Distinct characters345
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

Unique1428 ?
Unique (%)93.2%

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 1532
 
15.2%
부산진구 1532
 
15.2%
1층 783
 
7.8%
부전동 428
 
4.3%
전포동 275
 
2.7%
개금동 134
 
1.3%
양정동 134
 
1.3%
가야대로 127
 
1.3%
중앙대로 127
 
1.3%
2층 121
 
1.2%
Other values (1424) 4871
48.4%
2023-12-11T01:28:12.845952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8532
 
16.1%
부 3793
 
7.2%
산 3123
 
5.9%
1 2513
 
4.7%
동 1873
 
3.5%
, 1772
 
3.3%
( 1608
 
3.0%
) 1607
 
3.0%
광 1598
 
3.0%
시 1589
 
3.0%
Other values (335) 25030
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31164
58.8%
Space Separator 8532
 
16.1%
Decimal Number 8020
 
15.1%
Other Punctuation 1774
 
3.3%
Open Punctuation 1608
 
3.0%
Close Punctuation 1607
 
3.0%
Dash Punctuation 217
 
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 3793
 
12.2%
산 3123
 
10.0%
동 1873
 
6.0%
광 1598
 
5.1%
시 1589
 
5.1%
진 1564
 
5.0%
역 1556
 
5.0%
로 1537
 
4.9%
구 1535
 
4.9%
층 1384
 
4.4%
Other values (292) 11612
37.3%
Uppercase Letter
ValueCountFrequency (%)
B 29
30.2%
A 13
13.5%
S 7
 
7.3%
C 6
 
6.2%
K 6
 
6.2%
N 5
 
5.2%
Y 5
 
5.2%
J 4
 
4.2%
D 3
 
3.1%
H 3
 
3.1%
Other values (11) 15
15.6%
Decimal Number
ValueCountFrequency (%)
1 2513
31.3%
2 1124
14.0%
0 728
 
9.1%
6 635
 
7.9%
3 607
 
7.6%
7 583
 
7.3%
4 531
 
6.6%
5 473
 
5.9%
8 427
 
5.3%
9 399
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
s 2
28.6%
b 1
 
14.3%
a 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1772
99.9%
· 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1608
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31164
58.8%
Common 21771
41.0%
Latin 103
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3793
 
12.2%
산 3123
 
10.0%
동 1873
 
6.0%
광 1598
 
5.1%
시 1589
 
5.1%
진 1564
 
5.0%
역 1556
 
5.0%
로 1537
 
4.9%
구 1535
 
4.9%
층 1384
 
4.4%
Other values (292) 11612
37.3%
Latin
ValueCountFrequency (%)
B 29
28.2%
A 13
12.6%
S 7
 
6.8%
C 6
 
5.8%
K 6
 
5.8%
N 5
 
4.9%
Y 5
 
4.9%
J 4
 
3.9%
D 3
 
2.9%
H 3
 
2.9%
Other values (15) 22
21.4%
Common
ValueCountFrequency (%)
8532
39.2%
1 2513
 
11.5%
, 1772
 
8.1%
( 1608
 
7.4%
) 1607
 
7.4%
2 1124
 
5.2%
0 728
 
3.3%
6 635
 
2.9%
3 607
 
2.8%
7 583
 
2.7%
Other values (8) 2062
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31164
58.8%
ASCII 21873
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8532
39.0%
1 2513
 
11.5%
, 1772
 
8.1%
( 1608
 
7.4%
) 1607
 
7.3%
2 1124
 
5.1%
0 728
 
3.3%
6 635
 
2.9%
3 607
 
2.8%
7 583
 
2.7%
Other values (32) 2164
 
9.9%
Hangul
ValueCountFrequency (%)
부 3793
 
12.2%
산 3123
 
10.0%
동 1873
 
6.0%
광 1598
 
5.1%
시 1589
 
5.1%
진 1564
 
5.0%
역 1556
 
5.0%
로 1537
 
4.9%
구 1535
 
4.9%
층 1384
 
4.4%
Other values (292) 11612
37.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct1307
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size12.2 KiB
2023-12-11T01:28:13.328375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length54
Mean length24.699741
Min length18

Characters and Unicode

Total characters38087
Distinct characters307
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

Unique1176 ?
Unique (%)76.3%

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 1542
22.1%
부산진구 1542
22.1%
부전동 450
 
6.4%
전포동 281
 
4.0%
개금동 143
 
2.0%
양정동 139
 
2.0%
범천동 112
 
1.6%
가야동 103
 
1.5%
당감동 99
 
1.4%
부암동 80
 
1.1%
Other values (1593) 2500
35.8%
2023-12-11T01:28:14.140490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6965
18.3%
부 3716
 
9.8%
산 3133
 
8.2%
동 1614
 
4.2%
시 1572
 
4.1%
역 1565
 
4.1%
진 1553
 
4.1%
광 1546
 
4.1%
구 1544
 
4.1%
1 1444
 
3.8%
Other values (297) 13435
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22079
58.0%
Decimal Number 7337
 
19.3%
Space Separator 6965
 
18.3%
Dash Punctuation 1421
 
3.7%
Open Punctuation 77
 
0.2%
Close Punctuation 76
 
0.2%
Other Punctuation 71
 
0.2%
Uppercase Letter 54
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3716
16.8%
산 3133
14.2%
동 1614
 
7.3%
시 1572
 
7.1%
역 1565
 
7.1%
진 1553
 
7.0%
광 1546
 
7.0%
구 1544
 
7.0%
전 781
 
3.5%
포 290
 
1.3%
Other values (258) 4765
21.6%
Uppercase Letter
ValueCountFrequency (%)
B 10
18.5%
S 7
13.0%
Y 5
9.3%
K 4
 
7.4%
G 4
 
7.4%
C 4
 
7.4%
L 3
 
5.6%
A 3
 
5.6%
V 2
 
3.7%
D 2
 
3.7%
Other values (10) 10
18.5%
Decimal Number
ValueCountFrequency (%)
1 1444
19.7%
2 922
12.6%
3 862
11.7%
5 790
10.8%
6 676
9.2%
4 656
8.9%
7 541
 
7.4%
8 522
 
7.1%
0 507
 
6.9%
9 417
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 68
95.8%
@ 2
 
2.8%
· 1
 
1.4%
Space Separator
ValueCountFrequency (%)
6965
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22079
58.0%
Common 15951
41.9%
Latin 57
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3716
16.8%
산 3133
14.2%
동 1614
 
7.3%
시 1572
 
7.1%
역 1565
 
7.1%
진 1553
 
7.0%
광 1546
 
7.0%
구 1544
 
7.0%
전 781
 
3.5%
포 290
 
1.3%
Other values (258) 4765
21.6%
Latin
ValueCountFrequency (%)
B 10
17.5%
S 7
12.3%
Y 5
8.8%
K 4
 
7.0%
G 4
 
7.0%
C 4
 
7.0%
e 3
 
5.3%
L 3
 
5.3%
A 3
 
5.3%
V 2
 
3.5%
Other values (11) 12
21.1%
Common
ValueCountFrequency (%)
6965
43.7%
1 1444
 
9.1%
- 1421
 
8.9%
2 922
 
5.8%
3 862
 
5.4%
5 790
 
5.0%
6 676
 
4.2%
4 656
 
4.1%
7 541
 
3.4%
8 522
 
3.3%
Other values (8) 1152
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22079
58.0%
ASCII 16007
42.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6965
43.5%
1 1444
 
9.0%
- 1421
 
8.9%
2 922
 
5.8%
3 862
 
5.4%
5 790
 
4.9%
6 676
 
4.2%
4 656
 
4.1%
7 541
 
3.4%
8 522
 
3.3%
Other values (28) 1208
 
7.5%
Hangul
ValueCountFrequency (%)
부 3716
16.8%
산 3133
14.2%
동 1614
 
7.3%
시 1572
 
7.1%
역 1565
 
7.1%
진 1553
 
7.0%
광 1546
 
7.0%
구 1544
 
7.0%
전 781
 
3.5%
포 290
 
1.3%
Other values (258) 4765
21.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지전화
Text

MISSING 

Distinct366
Distinct (%)98.4%
Missing1170
Missing (%)75.9%
Memory size12.2 KiB
2023-12-11T01:28:14.533569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.994624
Min length13

Characters and Unicode

Total characters5206
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

Unique362 ?
Unique (%)97.3%

Sample

1st row 051- 808-8331
2nd row070 -8166-8430
3rd row 051- 818-8666
4th row051 -852 -2196
5th row 051- 868-5777
ValueCountFrequency (%)
051 336
36.0%
808 13
 
1.4%
803 12
 
1.3%
070 11
 
1.2%
802 9
 
1.0%
818 9
 
1.0%
898 8
 
0.9%
816 8
 
0.9%
02 7
 
0.8%
807 7
 
0.8%
Other values (438) 513
55.0%
2023-12-11T01:28:15.248830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 763
14.7%
- 744
14.3%
733
14.1%
1 617
11.9%
5 549
10.5%
8 500
9.6%
9 244
 
4.7%
7 238
 
4.6%
3 229
 
4.4%
2 223
 
4.3%
Other values (2) 366
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3729
71.6%
Dash Punctuation 744
 
14.3%
Space Separator 733
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 763
20.5%
1 617
16.5%
5 549
14.7%
8 500
13.4%
9 244
 
6.5%
7 238
 
6.4%
3 229
 
6.1%
2 223
 
6.0%
6 216
 
5.8%
4 150
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 744
100.0%
Space Separator
ValueCountFrequency (%)
733
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 763
14.7%
- 744
14.3%
733
14.1%
1 617
11.9%
5 549
10.5%
8 500
9.6%
9 244
 
4.7%
7 238
 
4.6%
3 229
 
4.4%
2 223
 
4.3%
Other values (2) 366
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 763
14.7%
- 744
14.3%
733
14.1%
1 617
11.9%
5 549
10.5%
8 500
9.6%
9 244
 
4.7%
7 238
 
4.6%
3 229
 
4.4%
2 223
 
4.3%
Other values (2) 366
7.0%

Missing values

2023-12-11T01:28:09.877831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:28:10.028967image/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.
2023-12-11T01:28:10.157168image/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
5휴게음식점산정<NA>부산광역시 부산진구 양정동 138-21051 -852 -2196
6휴게음식점아세아<NA>부산광역시 부산진구 부전동 6-5<NA>
7휴게음식점삼영다방부산광역시 부산진구 진사로77번길 29 (개금동)부산광역시 부산진구 개금동 633-29<NA>
8휴게음식점명다방부산광역시 부산진구 범일로 185 (범천동)부산광역시 부산진구 범천동 877-1<NA>
9휴게음식점독일제과부산광역시 부산진구 대학로 10-13 (가야동)부산광역시 부산진구 가야동 271-13<NA>
업종명업소명소재지(도로명)소재지(지번)소재지전화
1532휴게음식점카페 싸피엔스부산광역시 부산진구 중앙대로 900, 영진제우스 10층 1001-2호 (양정동)부산광역시 부산진구 양정동 353-12 영진제우스<NA>
1533휴게음식점씨유 범천맨해튼점부산광역시 부산진구 범일로192번길 41, 1층 101호 (범천동)부산광역시 부산진구 범천동 853-9<NA>
1534휴게음식점멍스랜드부산광역시 부산진구 양지로 10, 2층 (양정동)부산광역시 부산진구 양정동 364-4<NA>
1535휴게음식점세븐일레븐 부산개금대상점부산광역시 부산진구 가야대로498번길 14, 1층 101호 (개금동, 개금역 대상웰리움)부산광역시 부산진구 개금동 165-2 개금역 대상웰리움<NA>
1536휴게음식점카페신선부산광역시 부산진구 동평로131번길 94, 2층 (부암동)부산광역시 부산진구 부암동 320-314<NA>
1537휴게음식점과즙팡팡부산광역시 부산진구 백양대로 298, 신개금엘지아파트 상가동 2층 205호 (개금동)부산광역시 부산진구 개금동 455 신개금엘지아파트<NA>
1538휴게음식점독일 PM cafe부산광역시 부산진구 전포대로 234-1, 2층 (전포동)부산광역시 부산진구 전포동 207-63<NA>
1539휴게음식점독님만세부산광역시 부산진구 부전로 40, 1층 (부전동)부산광역시 부산진구 부전동 524-40<NA>
1540휴게음식점프레시밀(개금)부산광역시 부산진구 가야대로 519, 1층 (가야동)부산광역시 부산진구 가야동 136-80<NA>
1541휴게음식점슈가달당부산광역시 부산진구 서전로 14, 1층 (부전동)부산광역시 부산진구 부전동 152-1<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