Overview

Dataset statistics

Number of variables6
Number of observations354
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory16.7 KiB
Average record size in memory48.4 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description부산광역시 동구 담배소매인 지정 현황입니다. (민원구분,업소명,업소지번주소, 업소도로명주소 가 기재되어있습니다.)
Author부산광역시 동구
URLhttps://www.data.go.kr/data/15035658/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-15 02:12:04.024036
Analysis finished2024-03-15 02:12:05.210473
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

민원구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
제7조의3제2항에따른경우
188 
2009년 11월 법개정전
138 
제7조의3제3항에따른경우
28 

Length

Max length15
Median length13
Mean length13.779661
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제2항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제2항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 188
53.1%
2009년 11월 법개정전 138
39.0%
제7조의3제3항에따른경우 28
 
7.9%

Length

2024-03-15T11:12:05.342770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:12:05.670702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 188
29.8%
2009년 138
21.9%
11월 138
21.9%
법개정전 138
21.9%
제7조의3제3항에따른경우 28
 
4.4%

업소명
Text

Distinct341
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T11:12:06.395771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length7.3559322
Min length2

Characters and Unicode

Total characters2604
Distinct characters359
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

Unique330 ?
Unique (%)93.2%

Sample

1st row뉴빅세일마트
2nd row나나미용실
3rd row3XL커피
4th row베이프큐 부산진역점
5th row지에스25 범일삼정시티점
ValueCountFrequency (%)
씨유 23
 
4.7%
세븐일레븐 13
 
2.7%
gs25 12
 
2.5%
이마트24 9
 
1.9%
주)코리아세븐 6
 
1.2%
지에스25 6
 
1.2%
지에스(gs)25 5
 
1.0%
마트 3
 
0.6%
킹마트 3
 
0.6%
부산역점 3
 
0.6%
Other values (380) 402
82.9%
2024-03-15T11:12:07.653630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
5.0%
점 129
 
5.0%
산 68
 
2.6%
부 66
 
2.5%
마 64
 
2.5%
트 58
 
2.2%
일 58
 
2.2%
2 49
 
1.9%
유 44
 
1.7%
이 44
 
1.7%
Other values (349) 1893
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2211
84.9%
Space Separator 131
 
5.0%
Decimal Number 112
 
4.3%
Uppercase Letter 69
 
2.6%
Close Punctuation 30
 
1.2%
Open Punctuation 30
 
1.2%
Lowercase Letter 18
 
0.7%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 129
 
5.8%
산 68
 
3.1%
부 66
 
3.0%
마 64
 
2.9%
트 58
 
2.6%
일 58
 
2.6%
유 44
 
2.0%
이 44
 
2.0%
스 42
 
1.9%
퍼 39
 
1.8%
Other values (308) 1599
72.3%
Uppercase Letter
ValueCountFrequency (%)
S 21
30.4%
G 21
30.4%
L 6
 
8.7%
C 4
 
5.8%
A 3
 
4.3%
U 2
 
2.9%
M 2
 
2.9%
T 2
 
2.9%
K 2
 
2.9%
I 1
 
1.4%
Other values (5) 5
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
g 3
16.7%
s 2
11.1%
i 2
11.1%
p 2
11.1%
l 1
 
5.6%
n 1
 
5.6%
h 1
 
5.6%
o 1
 
5.6%
a 1
 
5.6%
y 1
 
5.6%
Other values (3) 3
16.7%
Decimal Number
ValueCountFrequency (%)
2 49
43.8%
5 33
29.5%
4 14
 
12.5%
1 10
 
8.9%
3 3
 
2.7%
0 1
 
0.9%
6 1
 
0.9%
7 1
 
0.9%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2211
84.9%
Common 306
 
11.8%
Latin 87
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 129
 
5.8%
산 68
 
3.1%
부 66
 
3.0%
마 64
 
2.9%
트 58
 
2.6%
일 58
 
2.6%
유 44
 
2.0%
이 44
 
2.0%
스 42
 
1.9%
퍼 39
 
1.8%
Other values (308) 1599
72.3%
Latin
ValueCountFrequency (%)
S 21
24.1%
G 21
24.1%
L 6
 
6.9%
C 4
 
4.6%
g 3
 
3.4%
A 3
 
3.4%
s 2
 
2.3%
i 2
 
2.3%
p 2
 
2.3%
U 2
 
2.3%
Other values (18) 21
24.1%
Common
ValueCountFrequency (%)
131
42.8%
2 49
 
16.0%
5 33
 
10.8%
) 30
 
9.8%
( 30
 
9.8%
4 14
 
4.6%
1 10
 
3.3%
3 3
 
1.0%
- 2
 
0.7%
0 1
 
0.3%
Other values (3) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2211
84.9%
ASCII 393
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
33.3%
2 49
 
12.5%
5 33
 
8.4%
) 30
 
7.6%
( 30
 
7.6%
S 21
 
5.3%
G 21
 
5.3%
4 14
 
3.6%
1 10
 
2.5%
L 6
 
1.5%
Other values (31) 48
 
12.2%
Hangul
ValueCountFrequency (%)
점 129
 
5.8%
산 68
 
3.1%
부 66
 
3.0%
마 64
 
2.9%
트 58
 
2.6%
일 58
 
2.6%
유 44
 
2.0%
이 44
 
2.0%
스 42
 
1.9%
퍼 39
 
1.8%
Other values (308) 1599
72.3%

업소지번주소
Text

Distinct345
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T11:12:08.965088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length23.658192
Min length12

Characters and Unicode

Total characters8375
Distinct characters188
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)95.2%

Sample

1st row부산광역시 동구 수정동 397-34
2nd row부산광역시 동구 좌천동 68-165
3rd row부산광역시 동구 초량동 1193-5
4th row부산광역시 동구 수정동 3-2
5th row부산광역시 동구 범일동 830-280
ValueCountFrequency (%)
부산광역시 354
19.5%
동구 354
19.5%
초량동 120
 
6.6%
범일동 95
 
5.2%
호 75
 
4.1%
수정동 66
 
3.6%
좌천동 37
 
2.0%
1호 28
 
1.5%
3호 9
 
0.5%
10호 9
 
0.5%
Other values (518) 670
36.9%
2024-03-15T11:12:11.006765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1641
19.6%
동 723
 
8.6%
1 424
 
5.1%
부 381
 
4.5%
산 380
 
4.5%
역 367
 
4.4%
시 364
 
4.3%
구 356
 
4.3%
광 355
 
4.2%
호 244
 
2.9%
Other values (178) 3140
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4728
56.5%
Decimal Number 1806
 
21.6%
Space Separator 1641
 
19.6%
Dash Punctuation 167
 
2.0%
Uppercase Letter 15
 
0.2%
Other Punctuation 9
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 723
15.3%
부 381
 
8.1%
산 380
 
8.0%
역 367
 
7.8%
시 364
 
7.7%
구 356
 
7.5%
광 355
 
7.5%
호 244
 
5.2%
지 194
 
4.1%
번 176
 
3.7%
Other values (149) 1188
25.1%
Uppercase Letter
ValueCountFrequency (%)
G 3
20.0%
A 2
13.3%
T 2
13.3%
B 1
 
6.7%
I 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
L 1
 
6.7%
C 1
 
6.7%
M 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 424
23.5%
2 221
12.2%
3 185
10.2%
8 161
 
8.9%
0 160
 
8.9%
4 148
 
8.2%
6 146
 
8.1%
5 139
 
7.7%
7 113
 
6.3%
9 109
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
55.6%
· 2
 
22.2%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
1641
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4728
56.5%
Common 3631
43.4%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 723
15.3%
부 381
 
8.1%
산 380
 
8.0%
역 367
 
7.8%
시 364
 
7.7%
구 356
 
7.5%
광 355
 
7.5%
호 244
 
5.2%
지 194
 
4.1%
번 176
 
3.7%
Other values (149) 1188
25.1%
Common
ValueCountFrequency (%)
1641
45.2%
1 424
 
11.7%
2 221
 
6.1%
3 185
 
5.1%
- 167
 
4.6%
8 161
 
4.4%
0 160
 
4.4%
4 148
 
4.1%
6 146
 
4.0%
5 139
 
3.8%
Other values (7) 239
 
6.6%
Latin
ValueCountFrequency (%)
G 3
18.8%
A 2
12.5%
T 2
12.5%
B 1
 
6.2%
I 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
L 1
 
6.2%
C 1
 
6.2%
M 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4728
56.5%
ASCII 3645
43.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1641
45.0%
1 424
 
11.6%
2 221
 
6.1%
3 185
 
5.1%
- 167
 
4.6%
8 161
 
4.4%
0 160
 
4.4%
4 148
 
4.1%
6 146
 
4.0%
5 139
 
3.8%
Other values (18) 253
 
6.9%
Hangul
ValueCountFrequency (%)
동 723
15.3%
부 381
 
8.1%
산 380
 
8.0%
역 367
 
7.8%
시 364
 
7.7%
구 356
 
7.5%
광 355
 
7.5%
호 244
 
5.2%
지 194
 
4.1%
번 176
 
3.7%
Other values (149) 1188
25.1%
None
ValueCountFrequency (%)
· 2
100.0%

업소도로명주소
Text

Distinct344
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T11:12:12.248156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length28.237288
Min length8

Characters and Unicode

Total characters9996
Distinct characters211
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

Unique338 ?
Unique (%)95.5%

Sample

1st row부산광역시 동구 고관로 39-1. 1층 (수정동)
2nd row부산광역시 동구 성남이로 21. 1층 (좌천동)
3rd row부산광역시 동구 중앙대로 240. 현대해상 1층 (초량동)
4th row부산광역시 동구 진성로9번길 21. 1층 (수정동)
5th row부산광역시 동구 범일로102번길 16-14. 1층 (범일동)
ValueCountFrequency (%)
부산광역시 354
17.4%
동구 354
17.4%
초량동 126
 
6.2%
1층 95
 
4.7%
범일동 93
 
4.6%
수정동 65
 
3.2%
중앙대로 46
 
2.3%
좌천동 34
 
1.7%
망양로 22
 
1.1%
고관로 15
 
0.7%
Other values (476) 830
40.8%
2024-03-15T11:12:14.014439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1747
 
17.5%
동 722
 
7.2%
1 448
 
4.5%
산 390
 
3.9%
부 382
 
3.8%
시 374
 
3.7%
역 364
 
3.6%
구 357
 
3.6%
광 355
 
3.6%
로 341
 
3.4%
Other values (201) 4516
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5816
58.2%
Space Separator 1747
 
17.5%
Decimal Number 1465
 
14.7%
Open Punctuation 339
 
3.4%
Close Punctuation 339
 
3.4%
Other Punctuation 188
 
1.9%
Dash Punctuation 82
 
0.8%
Uppercase Letter 17
 
0.2%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 722
 
12.4%
산 390
 
6.7%
부 382
 
6.6%
시 374
 
6.4%
역 364
 
6.3%
구 357
 
6.1%
광 355
 
6.1%
로 341
 
5.9%
초 169
 
2.9%
량 167
 
2.9%
Other values (171) 2195
37.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
17.6%
G 3
17.6%
B 2
11.8%
T 2
11.8%
L 1
 
5.9%
I 1
 
5.9%
Y 1
 
5.9%
M 1
 
5.9%
C 1
 
5.9%
S 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 448
30.6%
2 196
13.4%
3 175
 
11.9%
0 132
 
9.0%
4 116
 
7.9%
6 95
 
6.5%
5 87
 
5.9%
7 76
 
5.2%
9 73
 
5.0%
8 67
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 182
96.8%
, 4
 
2.1%
· 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5816
58.2%
Common 4162
41.6%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 722
 
12.4%
산 390
 
6.7%
부 382
 
6.6%
시 374
 
6.4%
역 364
 
6.3%
구 357
 
6.1%
광 355
 
6.1%
로 341
 
5.9%
초 169
 
2.9%
량 167
 
2.9%
Other values (171) 2195
37.7%
Common
ValueCountFrequency (%)
1747
42.0%
1 448
 
10.8%
( 339
 
8.1%
) 339
 
8.1%
2 196
 
4.7%
. 182
 
4.4%
3 175
 
4.2%
0 132
 
3.2%
4 116
 
2.8%
6 95
 
2.3%
Other values (8) 393
 
9.4%
Latin
ValueCountFrequency (%)
A 3
16.7%
G 3
16.7%
B 2
11.1%
T 2
11.1%
L 1
 
5.6%
I 1
 
5.6%
Y 1
 
5.6%
M 1
 
5.6%
C 1
 
5.6%
e 1
 
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5816
58.2%
ASCII 4178
41.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1747
41.8%
1 448
 
10.7%
( 339
 
8.1%
) 339
 
8.1%
2 196
 
4.7%
. 182
 
4.4%
3 175
 
4.2%
0 132
 
3.2%
4 116
 
2.8%
6 95
 
2.3%
Other values (19) 409
 
9.8%
Hangul
ValueCountFrequency (%)
동 722
 
12.4%
산 390
 
6.7%
부 382
 
6.6%
시 374
 
6.4%
역 364
 
6.3%
구 357
 
6.1%
광 355
 
6.1%
로 341
 
5.9%
초 169
 
2.9%
량 167
 
2.9%
Other values (171) 2195
37.7%
None
ValueCountFrequency (%)
· 2
100.0%

업소주소우편번호
Text

Distinct134
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-15T11:12:15.188168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.5310734
Min length1

Characters and Unicode

Total characters1604
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

Unique61 ?
Unique (%)17.2%

Sample

1st row48795
2nd row48754
3rd row48732
4th row48789
5th row48744
ValueCountFrequency (%)
48760 9
 
3.2%
48739 8
 
2.8%
48733 7
 
2.5%
48744 7
 
2.5%
48818 7
 
2.5%
48789 6
 
2.1%
48816 6
 
2.1%
48722 6
 
2.1%
48735 6
 
2.1%
48815 5
 
1.8%
Other values (123) 215
76.2%
2024-03-15T11:12:16.613822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 360
22.4%
4 270
16.8%
7 216
13.5%
1 136
 
8.5%
0 126
 
7.9%
6 103
 
6.4%
2 83
 
5.2%
3 73
 
4.6%
72
 
4.5%
- 61
 
3.8%
Other values (2) 104
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1471
91.7%
Space Separator 72
 
4.5%
Dash Punctuation 61
 
3.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 360
24.5%
4 270
18.4%
7 216
14.7%
1 136
 
9.2%
0 126
 
8.6%
6 103
 
7.0%
2 83
 
5.6%
3 73
 
5.0%
9 60
 
4.1%
5 44
 
3.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 360
22.4%
4 270
16.8%
7 216
13.5%
1 136
 
8.5%
0 126
 
7.9%
6 103
 
6.4%
2 83
 
5.2%
3 73
 
4.6%
72
 
4.5%
- 61
 
3.8%
Other values (2) 104
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 360
22.4%
4 270
16.8%
7 216
13.5%
1 136
 
8.5%
0 126
 
7.9%
6 103
 
6.4%
2 83
 
5.2%
3 73
 
4.6%
72
 
4.5%
- 61
 
3.8%
Other values (2) 104
 
6.5%

지정일자
Date

Distinct329
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum1958-04-21 00:00:00
Maximum2024-02-07 00:00:00
2024-03-15T11:12:16.943804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:12:17.356703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2024-03-15T11:12:04.943211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:12:05.135887image/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

민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자
0제7조의3제2항에따른경우뉴빅세일마트부산광역시 동구 수정동 397-34부산광역시 동구 고관로 39-1. 1층 (수정동)487952024-02-07
1제7조의3제2항에따른경우나나미용실부산광역시 동구 좌천동 68-165부산광역시 동구 성남이로 21. 1층 (좌천동)487542023-12-11
2제7조의3제2항에따른경우3XL커피부산광역시 동구 초량동 1193-5부산광역시 동구 중앙대로 240. 현대해상 1층 (초량동)487322023-11-28
3제7조의3제2항에따른경우베이프큐 부산진역점부산광역시 동구 수정동 3-2부산광역시 동구 진성로9번길 21. 1층 (수정동)487892023-11-14
4제7조의3제2항에따른경우지에스25 범일삼정시티점부산광역시 동구 범일동 830-280부산광역시 동구 범일로102번길 16-14. 1층 (범일동)487442023-11-13
5제7조의3제2항에따른경우씨유 좌천대동점부산광역시 동구 좌천동 646-4부산광역시 동구 중앙대로 409. 디알라이프시티 1층 103호 (좌천동)487752023-11-10
6제7조의3제2항에따른경우팔봉이밀면부산광역시 동구 초량동 1153-4부산광역시 동구 중앙대로320번길 3-10. 1층 (초량동)487292023-09-20
7제7조의3제2항에따른경우지에스25범일하버시티점부산광역시 동구 범일동 0 두산위브더제니스하버시티부산광역시 동구 범일로 21. 108동 1층 111호 (범일동. 두산위브더제니스하버시티)487532023-09-11
8제7조의3제2항에따른경우씨유 부산마리나점부산광역시 동구 초량동 1185-64 협성마리나G7부산광역시 동구 충장대로 160. 협성마리나G7 A동 1층 113호 (초량동)487512023-08-29
9제7조의3제2항에따른경우씨유 리마크빌 부산역점부산광역시 동구 초량동 1209-5부산광역시 동구 중앙대로 185. 1층 101호 (초량동)488182023-08-25
민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자
3442009년 11월 법개정전신성상회부산광역시 동구 초량동 617-4호부산광역시 동구 대영로243번길 20 (초량동)601-8301974-05-30
3452009년 11월 법개정전경북양곡상부산광역시 동구 수정동 489번지 13호부산광역시 동구 수정공원로 121-1 (수정동)487031965-05-18
3462009년 11월 법개정전케익타운제과부산광역시 동구 초량동 91-1호 4 통 1 반부산광역시 동구 고관로29번길 30 (초량동)601-8271968-07-01
3472009년 11월 법개정전대동전기주택설비부산광역시 동구 수정동 811-40호부산광역시 동구 수정동로 3 (수정동)601-8181958-04-21
3482009년 11월 법개정전이동기(가로판매점)부산광역시 동구 범일동 830-39부산광역시 동구 조방로 43. 하나은행 앞 가로판매점 1층 (범일동)487381968-12-11
3492009년 11월 법개정전조흥준부산광역시 동구 초량동 1169-5호부산광역시 동구 중앙대로260번길 3-9 (초량동)601-8371975-01-01
3502009년 11월 법개정전태광상회부산광역시 동구 초량동 668-2호 12 통 3 반부산광역시 동구 홍곡로13번길 1 (초량동)601-8271986-02-27
3512009년 11월 법개정전새들슈퍼부산광역시 동구 초량동 394-6호 7통 3반부산광역시 동구 초량로13번길 43 (초량동)601-8291975-11-18
3522009년 11월 법개정전청호슈퍼부산광역시 동구 좌천동 252-0호부산광역시 동구 자성로8번길 0 (좌천동)601-8221964-12-05
3532009년 11월 법개정전현대전기부산광역시 동구 수정동 1030번지 13호부산광역시 동구 홍곡로 60 (수정동)487931989-03-17

Duplicate rows

Most frequently occurring

민원구분업소명업소지번주소업소도로명주소업소주소우편번호지정일자# duplicates
0제7조의3제2항에따른경우원토스트앤커피부산광역시 동구 범일동 830-263 범일 우리에부산광역시 동구 조방로49번길 23. 범일 우리에 101호 (범일동)487442021-01-082