Overview

Dataset statistics

Number of variables8
Number of observations781
Missing cells1012
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.7 KiB
Average record size in memory65.2 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description부산광역시_부산진구_쓰레기종량제봉투판매업소_20221020
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15045191

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Unnamed: 7 has constant value ""Constant
전화번호 has 230 (29.4%) missing valuesMissing
Unnamed: 7 has 780 (99.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:05:29.667311
Analysis finished2023-12-10 16:05:30.828618
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct781
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391
Minimum1
Maximum781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.0 KiB
2023-12-11T01:05:30.930738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile40
Q1196
median391
Q3586
95-th percentile742
Maximum781
Range780
Interquartile range (IQR)390

Descriptive statistics

Standard deviation225.59957
Coefficient of variation (CV)0.576981
Kurtosis-1.2
Mean391
Median Absolute Deviation (MAD)195
Skewness0
Sum305371
Variance50895.167
MonotonicityStrictly increasing
2023-12-11T01:05:31.135797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
538 1
 
0.1%
516 1
 
0.1%
517 1
 
0.1%
518 1
 
0.1%
519 1
 
0.1%
520 1
 
0.1%
521 1
 
0.1%
522 1
 
0.1%
523 1
 
0.1%
Other values (771) 771
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
781 1
0.1%
780 1
0.1%
779 1
0.1%
778 1
0.1%
777 1
0.1%
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%

상호
Text

Distinct728
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-11T01:05:31.495622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.4122919
Min length2

Characters and Unicode

Total characters5789
Distinct characters403
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

Unique693 ?
Unique (%)88.7%

Sample

1st row(주)이랜드리테일 엔씨서면점
2nd row(주)전포두배로마트
3rd row(주)지에스리테일초읍점
4th row(주)지에스리테일개금점
5th row(주)지에스리테일부암점
ValueCountFrequency (%)
씨유 58
 
5.8%
세븐일레븐 28
 
2.8%
gs25 25
 
2.5%
미니스톱 18
 
1.8%
지에스(gs)25 13
 
1.3%
이마트24 12
 
1.2%
주)코리아세븐 8
 
0.8%
위드미 7
 
0.7%
빅세일마트 7
 
0.7%
탑플러스마트 6
 
0.6%
Other values (741) 823
81.9%
2023-12-11T01:05:32.111538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 338
 
5.8%
225
 
3.9%
마 212
 
3.7%
트 209
 
3.6%
부 139
 
2.4%
퍼 125
 
2.2%
슈 121
 
2.1%
2 116
 
2.0%
스 114
 
2.0%
산 113
 
2.0%
Other values (393) 4077
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4959
85.7%
Decimal Number 239
 
4.1%
Space Separator 225
 
3.9%
Uppercase Letter 193
 
3.3%
Close Punctuation 68
 
1.2%
Open Punctuation 68
 
1.2%
Lowercase Letter 24
 
0.4%
Other Symbol 8
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 338
 
6.8%
마 212
 
4.3%
트 209
 
4.2%
부 139
 
2.8%
퍼 125
 
2.5%
슈 121
 
2.4%
스 114
 
2.3%
산 113
 
2.3%
유 105
 
2.1%
븐 102
 
2.1%
Other values (352) 3381
68.2%
Uppercase Letter
ValueCountFrequency (%)
S 68
35.2%
G 67
34.7%
C 21
 
10.9%
U 10
 
5.2%
L 5
 
2.6%
K 5
 
2.6%
D 5
 
2.6%
J 3
 
1.6%
N 2
 
1.0%
H 2
 
1.0%
Other values (4) 5
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
t 4
16.7%
m 2
 
8.3%
a 2
 
8.3%
n 1
 
4.2%
i 1
 
4.2%
y 1
 
4.2%
l 1
 
4.2%
s 1
 
4.2%
c 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 116
48.5%
5 87
36.4%
4 28
 
11.7%
7 2
 
0.8%
3 2
 
0.8%
1 2
 
0.8%
9 1
 
0.4%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4967
85.8%
Common 605
 
10.5%
Latin 217
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 338
 
6.8%
마 212
 
4.3%
트 209
 
4.2%
부 139
 
2.8%
퍼 125
 
2.5%
슈 121
 
2.4%
스 114
 
2.3%
산 113
 
2.3%
유 105
 
2.1%
븐 102
 
2.1%
Other values (353) 3389
68.2%
Latin
ValueCountFrequency (%)
S 68
31.3%
G 67
30.9%
C 21
 
9.7%
U 10
 
4.6%
e 8
 
3.7%
L 5
 
2.3%
K 5
 
2.3%
D 5
 
2.3%
t 4
 
1.8%
J 3
 
1.4%
Other values (16) 21
 
9.7%
Common
ValueCountFrequency (%)
225
37.2%
2 116
19.2%
5 87
 
14.4%
) 68
 
11.2%
( 68
 
11.2%
4 28
 
4.6%
. 3
 
0.5%
7 2
 
0.3%
3 2
 
0.3%
1 2
 
0.3%
Other values (4) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4959
85.7%
ASCII 822
 
14.2%
None 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 338
 
6.8%
마 212
 
4.3%
트 209
 
4.2%
부 139
 
2.8%
퍼 125
 
2.5%
슈 121
 
2.4%
스 114
 
2.3%
산 113
 
2.3%
유 105
 
2.1%
븐 102
 
2.1%
Other values (352) 3381
68.2%
ASCII
ValueCountFrequency (%)
225
27.4%
2 116
14.1%
5 87
 
10.6%
) 68
 
8.3%
S 68
 
8.3%
( 68
 
8.3%
G 67
 
8.2%
4 28
 
3.4%
C 21
 
2.6%
U 10
 
1.2%
Other values (30) 64
 
7.8%
None
ValueCountFrequency (%)
㈜ 8
100.0%

지역명
Categorical

Distinct30
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
양정동
91 
부전동
59 
부전1동
 
48
초읍동
 
46
가야동
 
42
Other values (25)
495 

Length

Max length9
Median length4
Mean length3.5044814
Min length2

Unique

Unique3 ?
Unique (%)0.4%

Sample

1st row전포1동
2nd row전포
3rd row초읍동
4th row개금3동
5th row부암3동

Common Values

ValueCountFrequency (%)
양정동 91
 
11.7%
부전동 59
 
7.6%
부전1동 48
 
6.1%
초읍동 46
 
5.9%
가야동 42
 
5.4%
범천동 37
 
4.7%
부암동 36
 
4.6%
연지동 34
 
4.4%
부암3동 31
 
4.0%
당감1동 31
 
4.0%
Other values (20) 326
41.7%

Length

2023-12-11T01:05:32.317413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양정동 91
 
11.7%
부전동 59
 
7.6%
부전1동 48
 
6.1%
초읍동 46
 
5.9%
가야동 42
 
5.4%
범천동 37
 
4.7%
부암동 36
 
4.6%
연지동 34
 
4.4%
부암3동 31
 
4.0%
당감1동 31
 
4.0%
Other values (20) 326
41.7%

소재지 주소
Text

Distinct772
Distinct (%)99.1%
Missing2
Missing (%)0.3%
Memory size6.2 KiB
2023-12-11T01:05:32.712224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length29.283697
Min length17

Characters and Unicode

Total characters22812
Distinct characters265
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

Unique767 ?
Unique (%)98.5%

Sample

1st row부산광역시 부산진구 동천로 92(전포동)
2nd row부산광역시 부산진구 동천로 112(전포동)
3rd row부산광역시 부산진구 새싹로 244 (초읍동)
4th row부산광역시 부산진구 백양관문로 7, 1호 (개금동, 아파트단지내복합상가)
5th row부산광역시 부산진구 당감로 79(부암동, 화성삼성아파트 내)
ValueCountFrequency (%)
부산광역시 779
 
19.1%
부산진구 779
 
19.1%
부전동 57
 
1.4%
가야동 54
 
1.3%
당감동 51
 
1.2%
양정동 50
 
1.2%
개금동 48
 
1.2%
전포동 47
 
1.2%
1층 44
 
1.1%
범천동 44
 
1.1%
Other values (1063) 2131
52.2%
2023-12-11T01:05:33.261111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3310
 
14.5%
부 1756
 
7.7%
산 1582
 
6.9%
1 913
 
4.0%
동 889
 
3.9%
진 823
 
3.6%
광 821
 
3.6%
시 797
 
3.5%
구 785
 
3.4%
역 780
 
3.4%
Other values (255) 10356
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14055
61.6%
Decimal Number 3512
 
15.4%
Space Separator 3310
 
14.5%
Open Punctuation 730
 
3.2%
Close Punctuation 666
 
2.9%
Other Punctuation 407
 
1.8%
Dash Punctuation 116
 
0.5%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1756
 
12.5%
산 1582
 
11.3%
동 889
 
6.3%
진 823
 
5.9%
광 821
 
5.8%
시 797
 
5.7%
구 785
 
5.6%
역 780
 
5.5%
로 773
 
5.5%
번 391
 
2.8%
Other values (231) 4658
33.1%
Decimal Number
ValueCountFrequency (%)
1 913
26.0%
2 426
12.1%
0 338
 
9.6%
3 324
 
9.2%
5 295
 
8.4%
6 283
 
8.1%
4 279
 
7.9%
7 230
 
6.5%
9 213
 
6.1%
8 211
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
A 3
21.4%
L 2
 
14.3%
H 2
 
14.3%
S 1
 
7.1%
D 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 406
99.8%
* 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14055
61.6%
Common 8742
38.3%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1756
 
12.5%
산 1582
 
11.3%
동 889
 
6.3%
진 823
 
5.9%
광 821
 
5.8%
시 797
 
5.7%
구 785
 
5.6%
역 780
 
5.5%
로 773
 
5.5%
번 391
 
2.8%
Other values (231) 4658
33.1%
Common
ValueCountFrequency (%)
3310
37.9%
1 913
 
10.4%
( 730
 
8.4%
) 666
 
7.6%
2 426
 
4.9%
, 406
 
4.6%
0 338
 
3.9%
3 324
 
3.7%
5 295
 
3.4%
6 283
 
3.2%
Other values (7) 1051
 
12.0%
Latin
ValueCountFrequency (%)
B 5
33.3%
A 3
20.0%
L 2
 
13.3%
H 2
 
13.3%
S 1
 
6.7%
e 1
 
6.7%
D 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14054
61.6%
ASCII 8757
38.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3310
37.8%
1 913
 
10.4%
( 730
 
8.3%
) 666
 
7.6%
2 426
 
4.9%
, 406
 
4.6%
0 338
 
3.9%
3 324
 
3.7%
5 295
 
3.4%
6 283
 
3.2%
Other values (14) 1066
 
12.2%
Hangul
ValueCountFrequency (%)
부 1756
 
12.5%
산 1582
 
11.3%
동 889
 
6.3%
진 823
 
5.9%
광 821
 
5.8%
시 797
 
5.7%
구 785
 
5.6%
역 780
 
5.6%
로 773
 
5.5%
번 391
 
2.8%
Other values (230) 4657
33.1%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

전화번호
Text

MISSING 

Distinct548
Distinct (%)99.5%
Missing230
Missing (%)29.4%
Memory size6.2 KiB
2023-12-11T01:05:33.693253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.001815
Min length12

Characters and Unicode

Total characters6613
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

Unique545 ?
Unique (%)98.9%

Sample

1st row051-794-7041
2nd row051-807-0120
3rd row051-895-5161
4th row051-802-4944
5th row051-897-9822
ValueCountFrequency (%)
051-808-4737 2
 
0.4%
051-817-9996 2
 
0.4%
051-866-9400 2
 
0.4%
051-852-7864 1
 
0.2%
051-819-2221 1
 
0.2%
051-819-1937 1
 
0.2%
051-636-7002 1
 
0.2%
051-808-4203 1
 
0.2%
051-896-0875 1
 
0.2%
051-897-1911 1
 
0.2%
Other values (538) 538
97.6%
2023-12-11T01:05:34.239301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1102
16.7%
0 1022
15.5%
1 906
13.7%
5 873
13.2%
8 751
11.4%
9 418
 
6.3%
6 338
 
5.1%
2 317
 
4.8%
3 314
 
4.7%
7 301
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5511
83.3%
Dash Punctuation 1102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1022
18.5%
1 906
16.4%
5 873
15.8%
8 751
13.6%
9 418
7.6%
6 338
 
6.1%
2 317
 
5.8%
3 314
 
5.7%
7 301
 
5.5%
4 271
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6613
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1102
16.7%
0 1022
15.5%
1 906
13.7%
5 873
13.2%
8 751
11.4%
9 418
 
6.3%
6 338
 
5.1%
2 317
 
4.8%
3 314
 
4.7%
7 301
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1102
16.7%
0 1022
15.5%
1 906
13.7%
5 873
13.2%
8 751
11.4%
9 418
 
6.3%
6 338
 
5.1%
2 317
 
4.8%
3 314
 
4.7%
7 301
 
4.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
부산광역시 부산진구청
781 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구청
2nd row부산광역시 부산진구청
3rd row부산광역시 부산진구청
4th row부산광역시 부산진구청
5th row부산광역시 부산진구청

Common Values

ValueCountFrequency (%)
부산광역시 부산진구청 781
100.0%

Length

2023-12-11T01:05:34.444760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:05:34.581555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 781
50.0%
부산진구청 781
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2022-10-20
781 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-20
2nd row2022-10-20
3rd row2022-10-20
4th row2022-10-20
5th row2022-10-20

Common Values

ValueCountFrequency (%)
2022-10-20 781
100.0%

Length

2023-12-11T01:05:34.743654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:05:34.898468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-20 781
100.0%

Unnamed: 7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing780
Missing (%)99.9%
Memory size6.2 KiB
2023-12-11T01:05:34.981415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row해지
ValueCountFrequency (%)
해지 1
100.0%
2023-12-11T01:05:35.238676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 1
50.0%
지 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 1
50.0%
지 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 1
50.0%
지 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 1
50.0%
지 1
50.0%

Interactions

2023-12-11T01:05:30.262431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:05:35.365497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명
연번1.0000.215
지역명0.2151.000
2023-12-11T01:05:35.490734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명
연번1.0000.071
지역명0.0711.000

Missing values

2023-12-11T01:05:30.456262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:05:30.623596image/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.
2023-12-11T01:05:30.758678image/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

연번상호지역명소재지 주소전화번호관리기관명데이터기준일자Unnamed: 7
01(주)이랜드리테일 엔씨서면점전포1동부산광역시 부산진구 동천로 92(전포동)051-794-7041부산광역시 부산진구청2022-10-20<NA>
12(주)전포두배로마트전포부산광역시 부산진구 동천로 112(전포동)<NA>부산광역시 부산진구청2022-10-20<NA>
23(주)지에스리테일초읍점초읍동부산광역시 부산진구 새싹로 244 (초읍동)051-807-0120부산광역시 부산진구청2022-10-20<NA>
34(주)지에스리테일개금점개금3동부산광역시 부산진구 백양관문로 7, 1호 (개금동, 아파트단지내복합상가)051-895-5161부산광역시 부산진구청2022-10-20<NA>
45(주)지에스리테일부암점부암3동부산광역시 부산진구 당감로 79(부암동, 화성삼성아파트 내)051-802-4944부산광역시 부산진구청2022-10-20<NA>
56(주)한양스토어백양당감1동부산광역시 부산진구 백양관문로 104-1, 2층 17호(당감동, 국제051-897-9822부산광역시 부산진구청2022-10-20<NA>
67(주)한양스토아행복당감1동부산광역시 부산진구 백양산로53번길 84, 상가동 지하층(당감동,051-893-3100부산광역시 부산진구청2022-10-20<NA>
78(주)한양스토아사랑부암3동부산광역시 부산진구 백양산로 48 (부암동)051-818-8007부산광역시 부산진구청2022-10-20<NA>
89(주)현대빅세일마트양정동부산광역시 부산진구 동평로 350, 지하1층 비101호(양정동, 양정051-865-2007부산광역시 부산진구청2022-10-20<NA>
910(주)코리아세븐 부산전포해네스점전포3동부산광역시 부산진구 동성로15번길 37, 1층 전체(전포동0051-816-9466부산광역시 부산진구청2022-10-20<NA>
연번상호지역명소재지 주소전화번호관리기관명데이터기준일자Unnamed: 7
771772세븐일레븐 부산서면동일점부암동부산광역시 부산진구 동평로150번길 14, 502동 207호, 208호(부암동, 서면동일파크스위트1차)<NA>부산광역시 부산진구청2022-10-20<NA>
772773씨유 서면브릭스점부전동부산광역시 부산진구 동천로95번길 21(부전동)<NA>부산광역시 부산진구청2022-10-20<NA>
773774세븐일레븐 부산양정이즈점양정동부산광역시 부산진구 양지로14번길 14, 1층(양정동)<NA>부산광역시 부산진구청2022-10-20<NA>
774775씨유 전포비발디점전포동부산광역시 부산진구 전포대로 156, 상가동 1층 111호(전포동, 한라비발디)<NA>부산광역시 부산진구청2022-10-20<NA>
775776다드림마트양정동부산광역시 부산진구 연수로 57, 101호, 103호(양정동)051-867-4945부산광역시 부산진구청2022-10-20<NA>
776777이마트24 당감엘리움점당감동부산광역시 부산진구 동평로 106, 1층 102호(당감동)<NA>부산광역시 부산진구청2022-10-20<NA>
777778씨유 부산연지자이점연지동부산광역시 부산진구 동평로183번길 88, 1층(연지동)<NA>부산광역시 부산진구청2022-10-20<NA>
778779씨유 부암협성휴포레점부암동부산광역시 부산진구 동평로 173, 상가동 1층 105호, 106호(부암동, 부암협성휴포레아파트)<NA>부산광역시 부산진구청2022-10-20<NA>
779780씨유 서면광장점전포동부산광역시 부산진구 전포대로 294, 제1상가동 1층 101호(전포동, 서면 한신)<NA>부산광역시 부산진구청2022-10-20<NA>
780781미니스톱 부산힐탑스타점당감동부산광역시 부산진구 가야대로 701, 1동 104호(당감동, 힐탑스타)<NA>부산광역시 부산진구청2022-10-20<NA>