Overview

Dataset statistics

Number of variables6
Number of observations1349
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.4 KiB
Average record size in memory48.1 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description김해시 소재 영업 중인 담배 소매업체 현황으로 민원구분, 업소명, 지번주소, 도로명주소, 지정일자, 법인구분 등의 데이터로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033304/fileData.do

Alerts

법인구분 is highly imbalanced (68.9%)Imbalance

Reproduction

Analysis started2023-12-12 17:53:48.820522
Analysis finished2023-12-12 17:53:49.632829
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

민원구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
제7조의3제2항에따른경우
1048 
276 
제7조의3제3항에따른경우
 
25

Length

Max length13
Median length13
Mean length10.544848
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 1048
77.7%
276
 
20.5%
제7조의3제3항에따른경우 25
 
1.9%

Length

2023-12-13T02:53:49.706626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:53:49.810076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 1048
97.7%
제7조의3제3항에따른경우 25
 
2.3%

업소명
Text

Distinct1307
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T02:53:50.046470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length8.595997
Min length2

Characters and Unicode

Total characters11596
Distinct characters515
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1279 ?
Unique (%)94.8%

Sample

1st row이마트24 김해백조아파트점
2nd row그린마트
3rd row씨스페이스 어방가야점
4th row우계부동산
5th row지에스(GS)25 김해인덕점
ValueCountFrequency (%)
씨유 93
 
5.0%
세븐일레븐 78
 
4.2%
이마트24 75
 
4.0%
지에스(gs)25 34
 
1.8%
gs25 24
 
1.3%
지에스25 22
 
1.2%
주)코리아세븐 21
 
1.1%
미니스톱 11
 
0.6%
잡화점 10
 
0.5%
지에스25(gs25 6
 
0.3%
Other values (1346) 1496
80.0%
2023-12-13T02:53:50.428676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 716
 
6.2%
522
 
4.5%
해 379
 
3.3%
김 374
 
3.2%
마 345
 
3.0%
유 332
 
2.9%
트 324
 
2.8%
2 299
 
2.6%
스 236
 
2.0%
븐 199
 
1.7%
Other values (505) 7870
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9633
83.1%
Decimal Number 634
 
5.5%
Space Separator 522
 
4.5%
Uppercase Letter 401
 
3.5%
Close Punctuation 163
 
1.4%
Open Punctuation 163
 
1.4%
Lowercase Letter 56
 
0.5%
Other Punctuation 16
 
0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 716
 
7.4%
해 379
 
3.9%
김 374
 
3.9%
마 345
 
3.6%
유 332
 
3.4%
트 324
 
3.4%
스 236
 
2.4%
븐 199
 
2.1%
이 190
 
2.0%
씨 189
 
2.0%
Other values (444) 6349
65.9%
Uppercase Letter
ValueCountFrequency (%)
S 131
32.7%
G 128
31.9%
C 33
 
8.2%
U 18
 
4.5%
R 9
 
2.2%
K 9
 
2.2%
A 8
 
2.0%
E 8
 
2.0%
I 8
 
2.0%
B 6
 
1.5%
Other values (13) 43
 
10.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
14.3%
o 7
12.5%
a 6
10.7%
u 5
8.9%
c 4
 
7.1%
t 4
 
7.1%
s 3
 
5.4%
r 3
 
5.4%
d 3
 
5.4%
m 3
 
5.4%
Other values (7) 10
17.9%
Decimal Number
ValueCountFrequency (%)
2 299
47.2%
5 196
30.9%
4 100
 
15.8%
1 22
 
3.5%
9 6
 
0.9%
3 4
 
0.6%
0 3
 
0.5%
6 2
 
0.3%
8 1
 
0.2%
7 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 6
37.5%
& 5
31.2%
/ 3
18.8%
＃ 1
 
6.2%
· 1
 
6.2%
Space Separator
ValueCountFrequency (%)
522
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9637
83.1%
Common 1502
 
13.0%
Latin 457
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 716
 
7.4%
해 379
 
3.9%
김 374
 
3.9%
마 345
 
3.6%
유 332
 
3.4%
트 324
 
3.4%
스 236
 
2.4%
븐 199
 
2.1%
이 190
 
2.0%
씨 189
 
2.0%
Other values (445) 6353
65.9%
Latin
ValueCountFrequency (%)
S 131
28.7%
G 128
28.0%
C 33
 
7.2%
U 18
 
3.9%
R 9
 
2.0%
K 9
 
2.0%
e 8
 
1.8%
A 8
 
1.8%
E 8
 
1.8%
I 8
 
1.8%
Other values (30) 97
21.2%
Common
ValueCountFrequency (%)
522
34.8%
2 299
19.9%
5 196
 
13.0%
) 163
 
10.9%
( 163
 
10.9%
4 100
 
6.7%
1 22
 
1.5%
9 6
 
0.4%
. 6
 
0.4%
& 5
 
0.3%
Other values (10) 20
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9633
83.1%
ASCII 1957
 
16.9%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 716
 
7.4%
해 379
 
3.9%
김 374
 
3.9%
마 345
 
3.6%
유 332
 
3.4%
트 324
 
3.4%
스 236
 
2.4%
븐 199
 
2.1%
이 190
 
2.0%
씨 189
 
2.0%
Other values (444) 6349
65.9%
ASCII
ValueCountFrequency (%)
522
26.7%
2 299
15.3%
5 196
 
10.0%
) 163
 
8.3%
( 163
 
8.3%
S 131
 
6.7%
G 128
 
6.5%
4 100
 
5.1%
C 33
 
1.7%
1 22
 
1.1%
Other values (48) 200
 
10.2%
None
ValueCountFrequency (%)
㈜ 4
66.7%
＃ 1
 
16.7%
· 1
 
16.7%

지번주소
Text

Distinct1262
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T02:53:50.712380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length22.524092
Min length1

Characters and Unicode

Total characters30385
Distinct characters306
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1250 ?
Unique (%)92.7%

Sample

1st row경상남도 김해시 구산동 257 광남백조아파트 상가동
2nd row경상남도 김해시 진영읍 좌곤리 377
3rd row경상남도 김해시 어방동 531-4
4th row경상남도 김해시 상동면 우계리 717-1
5th row경상남도 김해시 삼방동 160-7
ValueCountFrequency (%)
경상남도 1272
 
18.7%
김해시 1272
 
18.7%
1호 174
 
2.6%
진영읍 147
 
2.2%
외동 81
 
1.2%
삼계동 74
 
1.1%
호 69
 
1.0%
진영리 66
 
1.0%
3호 66
 
1.0%
한림면 64
 
0.9%
Other values (1505) 3504
51.6%
2023-12-13T02:53:51.167786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5753
18.9%
1 1535
 
5.1%
상 1443
 
4.7%
김 1289
 
4.2%
해 1289
 
4.2%
시 1283
 
4.2%
남 1276
 
4.2%
경 1275
 
4.2%
도 1274
 
4.2%
동 1085
 
3.6%
Other values (296) 12883
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18403
60.6%
Decimal Number 5818
 
19.1%
Space Separator 5753
 
18.9%
Dash Punctuation 327
 
1.1%
Uppercase Letter 33
 
0.1%
Other Punctuation 20
 
0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Lowercase Letter 9
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1443
 
7.8%
김 1289
 
7.0%
해 1289
 
7.0%
시 1283
 
7.0%
남 1276
 
6.9%
경 1275
 
6.9%
도 1274
 
6.9%
동 1085
 
5.9%
지 960
 
5.2%
호 934
 
5.1%
Other values (259) 6295
34.2%
Decimal Number
ValueCountFrequency (%)
1 1535
26.4%
2 604
 
10.4%
3 586
 
10.1%
0 500
 
8.6%
6 499
 
8.6%
4 488
 
8.4%
5 480
 
8.3%
7 398
 
6.8%
8 373
 
6.4%
9 355
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
27.3%
A 9
27.3%
D 3
 
9.1%
S 3
 
9.1%
K 2
 
6.1%
E 2
 
6.1%
C 2
 
6.1%
I 1
 
3.0%
F 1
 
3.0%
L 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
i 1
 
11.1%
p 1
 
11.1%
a 1
 
11.1%
r 1
 
11.1%
k 1
 
11.1%
n 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 14
70.0%
/ 3
 
15.0%
@ 3
 
15.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 2
66.7%
㈜ 1
33.3%
Space Separator
ValueCountFrequency (%)
5753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18404
60.6%
Common 11939
39.3%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1443
 
7.8%
김 1289
 
7.0%
해 1289
 
7.0%
시 1283
 
7.0%
남 1276
 
6.9%
경 1275
 
6.9%
도 1274
 
6.9%
동 1085
 
5.9%
지 960
 
5.2%
호 934
 
5.1%
Other values (260) 6296
34.2%
Common
ValueCountFrequency (%)
5753
48.2%
1 1535
 
12.9%
2 604
 
5.1%
3 586
 
4.9%
0 500
 
4.2%
6 499
 
4.2%
4 488
 
4.1%
5 480
 
4.0%
7 398
 
3.3%
8 373
 
3.1%
Other values (9) 723
 
6.1%
Latin
ValueCountFrequency (%)
B 9
21.4%
A 9
21.4%
D 3
 
7.1%
S 3
 
7.1%
e 3
 
7.1%
K 2
 
4.8%
E 2
 
4.8%
C 2
 
4.8%
i 1
 
2.4%
p 1
 
2.4%
Other values (7) 7
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18403
60.6%
ASCII 11979
39.4%
Enclosed Alphanum 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5753
48.0%
1 1535
 
12.8%
2 604
 
5.0%
3 586
 
4.9%
0 500
 
4.2%
6 499
 
4.2%
4 488
 
4.1%
5 480
 
4.0%
7 398
 
3.3%
8 373
 
3.1%
Other values (25) 763
 
6.4%
Hangul
ValueCountFrequency (%)
상 1443
 
7.8%
김 1289
 
7.0%
해 1289
 
7.0%
시 1283
 
7.0%
남 1276
 
6.9%
경 1275
 
6.9%
도 1274
 
6.9%
동 1085
 
5.9%
지 960
 
5.2%
호 934
 
5.1%
Other values (259) 6295
34.2%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 2
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

Distinct1233
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T02:53:51.527254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length27.070423
Min length1

Characters and Unicode

Total characters36518
Distinct characters313
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1228 ?
Unique (%)91.0%

Sample

1st row경상남도 김해시 가락로 219. 광남백조아파트 상가동 1층 12~13호 (구산동)
2nd row경상남도 김해시 진영읍 하계로 9-30. 115동 101. 102호
3rd row경상남도 김해시 인제로170번길 15-6 (어방동)
4th row경상남도 김해시 상동면 상동로 319
5th row경상남도 김해시 인제로 200 (삼방동)
ValueCountFrequency (%)
경상남도 1236
 
16.8%
김해시 1236
 
16.8%
1층 282
 
3.8%
진영읍 139
 
1.9%
101호 84
 
1.1%
외동 74
 
1.0%
삼계동 71
 
1.0%
주촌면 61
 
0.8%
삼방동 61
 
0.8%
내동 58
 
0.8%
Other values (1516) 4065
55.2%
2023-12-13T02:53:52.113033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6316
 
17.3%
1 2015
 
5.5%
상 1452
 
4.0%
해 1427
 
3.9%
김 1404
 
3.8%
남 1253
 
3.4%
경 1252
 
3.4%
시 1251
 
3.4%
도 1239
 
3.4%
로 1228
 
3.4%
Other values (303) 17681
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20607
56.4%
Decimal Number 6741
 
18.5%
Space Separator 6316
 
17.3%
Open Punctuation 883
 
2.4%
Close Punctuation 883
 
2.4%
Other Punctuation 810
 
2.2%
Dash Punctuation 223
 
0.6%
Uppercase Letter 46
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1452
 
7.0%
해 1427
 
6.9%
김 1404
 
6.8%
남 1253
 
6.1%
경 1252
 
6.1%
시 1251
 
6.1%
도 1239
 
6.0%
로 1228
 
6.0%
동 1206
 
5.9%
번 573
 
2.8%
Other values (271) 8322
40.4%
Decimal Number
ValueCountFrequency (%)
1 2015
29.9%
2 924
13.7%
0 750
 
11.1%
3 618
 
9.2%
4 499
 
7.4%
5 478
 
7.1%
6 412
 
6.1%
7 384
 
5.7%
9 350
 
5.2%
8 311
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 19
41.3%
A 7
 
15.2%
S 4
 
8.7%
D 4
 
8.7%
I 3
 
6.5%
C 3
 
6.5%
E 2
 
4.3%
K 2
 
4.3%
F 1
 
2.2%
T 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
k 1
25.0%
s 1
25.0%
n 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 807
99.6%
/ 3
 
0.4%
Space Separator
ValueCountFrequency (%)
6316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 883
100.0%
Close Punctuation
ValueCountFrequency (%)
) 883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20608
56.4%
Common 15860
43.4%
Latin 50
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1452
 
7.0%
해 1427
 
6.9%
김 1404
 
6.8%
남 1253
 
6.1%
경 1252
 
6.1%
시 1251
 
6.1%
도 1239
 
6.0%
로 1228
 
6.0%
동 1206
 
5.9%
번 573
 
2.8%
Other values (272) 8323
40.4%
Common
ValueCountFrequency (%)
6316
39.8%
1 2015
 
12.7%
2 924
 
5.8%
( 883
 
5.6%
) 883
 
5.6%
. 807
 
5.1%
0 750
 
4.7%
3 618
 
3.9%
4 499
 
3.1%
5 478
 
3.0%
Other values (7) 1687
 
10.6%
Latin
ValueCountFrequency (%)
B 19
38.0%
A 7
 
14.0%
S 4
 
8.0%
D 4
 
8.0%
I 3
 
6.0%
C 3
 
6.0%
E 2
 
4.0%
K 2
 
4.0%
F 1
 
2.0%
T 1
 
2.0%
Other values (4) 4
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20607
56.4%
ASCII 15910
43.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6316
39.7%
1 2015
 
12.7%
2 924
 
5.8%
( 883
 
5.5%
) 883
 
5.5%
. 807
 
5.1%
0 750
 
4.7%
3 618
 
3.9%
4 499
 
3.1%
5 478
 
3.0%
Other values (21) 1737
 
10.9%
Hangul
ValueCountFrequency (%)
상 1452
 
7.0%
해 1427
 
6.9%
김 1404
 
6.8%
남 1253
 
6.1%
경 1252
 
6.1%
시 1251
 
6.1%
도 1239
 
6.0%
로 1228
 
6.0%
동 1206
 
5.9%
번 573
 
2.8%
Other values (271) 8322
40.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

지정일자
Date

Distinct1079
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum1985-05-09 00:00:00
Maximum2022-08-16 00:00:00
2023-12-13T02:53:52.298733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:53:52.478349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
개인
1222 
법인
 
115
 
12

Length

Max length2
Median length2
Mean length1.9911045
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 1222
90.6%
법인 115
 
8.5%
12
 
0.9%

Length

2023-12-13T02:53:52.614561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:53:52.756744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 1222
91.4%
법인 115
 
8.6%

Correlations

2023-12-13T02:53:52.840645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민원구분법인구분
민원구분1.0000.512
법인구분0.5121.000
2023-12-13T02:53:52.952899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민원구분법인구분
민원구분1.0000.210
법인구분0.2101.000
2023-12-13T02:53:53.048666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민원구분법인구분
민원구분1.0000.210
법인구분0.2101.000

Missing values

2023-12-13T02:53:49.480704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:53:49.583467image/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

민원구분업소명지번주소도로명주소지정일자법인구분
0제7조의3제2항에따른경우이마트24 김해백조아파트점경상남도 김해시 구산동 257 광남백조아파트 상가동경상남도 김해시 가락로 219. 광남백조아파트 상가동 1층 12~13호 (구산동)2022-08-16개인
1제7조의3제2항에따른경우그린마트경상남도 김해시 진영읍 좌곤리 377경상남도 김해시 진영읍 하계로 9-30. 115동 101. 102호2022-08-12개인
2제7조의3제2항에따른경우씨스페이스 어방가야점경상남도 김해시 어방동 531-4경상남도 김해시 인제로170번길 15-6 (어방동)2022-08-11개인
3제7조의3제2항에따른경우우계부동산경상남도 김해시 상동면 우계리 717-1경상남도 김해시 상동면 상동로 3192022-08-02개인
4제7조의3제2항에따른경우지에스(GS)25 김해인덕점경상남도 김해시 삼방동 160-7경상남도 김해시 인제로 200 (삼방동)2022-08-02개인
5제7조의3제2항에따른경우다올DC마트경상남도 김해시 어방동 356-4경상남도 김해시 활천로 192 (어방동)2022-07-27개인
6제7조의3제2항에따른경우돈벼락 맞는 곳 로또점경상남도 김해시 주촌면 선지리 670-20경상남도 김해시 주촌면 선천로 1172022-07-26개인
7제7조의3제2항에따른경우베이프큐 삼계점경상남도 김해시 삼계동 1486-4 삼계위너스타운경상남도 김해시 가야로 183. 삼계위너스타운 107호 (삼계동)2022-07-26개인
8제7조의3제2항에따른경우씨유 김해내동문화점경상남도 김해시 내동 160-7경상남도 김해시 금관대로1313번길 6. 1층 (내동)2022-07-22개인
9제7조의3제2항에따른경우웅장한 후레쉬마트 연지공원점경상남도 김해시 내동 1184경상남도 김해시 김해대로1902번길 12-154. 지하1층 (내동)2022-07-21개인
민원구분업소명지번주소도로명주소지정일자법인구분
1339덕산슈퍼경상남도 김해시 삼방동 223-4호1992-11-04개인
1340한강부식슈퍼경상남도 김해시 구산동 320호 1 102경상남도 김해시 가락로 242-24. 1동 102호 (구산동)1992-10-19개인
1341탑할인마트상동점경상남도 김해시 상동면 대감리 624번지 4호 외1필지경상남도 김해시 상동면 상동로 552 (외1필지)1991-01-01개인
1342소림슈퍼경상남도 김해시 생림면 생철리 425-8호1989-05-01개인
1343잡화점경상남도 김해시 삼방동 234-4호1991-05-01개인
1344따봉슈퍼경상남도 김해시 내동 148-6호1991-06-01개인
1345금성청과물상회경상남도 김해시 진영읍 진영리 259-5호1990-01-01개인
1346잡화점경상남도 김해시 강동 404호경상남도 김해시 김해대로2272번길 71 (강동)1990-01-01개인
1347잡화점경상남도 김해시 명법동 412-1호1990-01-01개인
1348전하잡화경상남도 김해시 전하동 370번지 3호경상남도 김해시 전하로198번길 54-6 (전하동)1985-05-09개인