Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows37
Duplicate rows (%)0.4%
Total size in memory390.6 KiB
Average record size in memory40.0 B

Variable types

Text3
Categorical1

Dataset

Description김포시 지역화폐가맹점 현황입니다.(상호명,업태명,소재지도로명주소,소재지지번주소,사용가능한지역화폐명,지류형지역화폐사용가능여부,카드형지역화폐사용가능여부,모바일형지역화폐사용가능여부,데이터기준일자)
URLhttps://www.data.go.kr/data/15038402/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 37 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 06:44:07.272003
Analysis finished2023-12-12 06:44:08.688343
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업자 명칭
Text

Distinct9625
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:44:09.007835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.8359
Min length1

Characters and Unicode

Total characters78359
Distinct characters1109
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9343 ?
Unique (%)93.4%

Sample

1st row골목술집
2nd row피피피 폴센터(ppp pole center)
3rd row공감애견학교
4th row청초수 물회&섭국
5th row세븐일레븐김포향동로점
ValueCountFrequency (%)
주식회사 124
 
0.9%
김포구래점 116
 
0.8%
김포장기점 90
 
0.6%
김포점 85
 
0.6%
구래점 68
 
0.5%
김포풍무점 65
 
0.5%
김포 56
 
0.4%
풍무점 50
 
0.4%
장기점 48
 
0.3%
씨유(cu 48
 
0.3%
Other values (10554) 13174
94.6%
2023-12-12T15:44:09.635541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3925
 
5.0%
점 2110
 
2.7%
이 1805
 
2.3%
포 1753
 
2.2%
김 1687
 
2.2%
스 1521
 
1.9%
원 1152
 
1.5%
리 1067
 
1.4%
어 1052
 
1.3%
아 967
 
1.2%
Other values (1099) 61320
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66066
84.3%
Space Separator 3925
 
5.0%
Uppercase Letter 2562
 
3.3%
Lowercase Letter 2274
 
2.9%
Open Punctuation 1073
 
1.4%
Close Punctuation 1069
 
1.4%
Decimal Number 1027
 
1.3%
Other Punctuation 333
 
0.4%
Dash Punctuation 22
 
< 0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2110
 
3.2%
이 1805
 
2.7%
포 1753
 
2.7%
김 1687
 
2.6%
스 1521
 
2.3%
원 1152
 
1.7%
리 1067
 
1.6%
어 1052
 
1.6%
아 967
 
1.5%
학 921
 
1.4%
Other values (1020) 52031
78.8%
Uppercase Letter
ValueCountFrequency (%)
S 262
 
10.2%
C 221
 
8.6%
E 170
 
6.6%
O 163
 
6.4%
G 158
 
6.2%
A 158
 
6.2%
T 134
 
5.2%
M 122
 
4.8%
U 117
 
4.6%
B 99
 
3.9%
Other values (16) 958
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 279
12.3%
a 225
 
9.9%
o 201
 
8.8%
i 173
 
7.6%
n 164
 
7.2%
l 155
 
6.8%
r 125
 
5.5%
t 105
 
4.6%
s 104
 
4.6%
u 87
 
3.8%
Other values (15) 656
28.8%
Decimal Number
ValueCountFrequency (%)
2 302
29.4%
5 187
18.2%
1 133
13.0%
4 104
 
10.1%
0 70
 
6.8%
3 69
 
6.7%
9 45
 
4.4%
8 43
 
4.2%
6 38
 
3.7%
7 36
 
3.5%
Other Punctuation
ValueCountFrequency (%)
& 125
37.5%
. 106
31.8%
/ 32
 
9.6%
, 29
 
8.7%
' 14
 
4.2%
# 10
 
3.0%
? 7
 
2.1%
! 5
 
1.5%
: 3
 
0.9%
" 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 939
87.5%
[ 134
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 935
87.5%
] 134
 
12.5%
Space Separator
ValueCountFrequency (%)
3925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66044
84.3%
Common 7457
 
9.5%
Latin 4836
 
6.2%
Han 21
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2110
 
3.2%
이 1805
 
2.7%
포 1753
 
2.7%
김 1687
 
2.6%
스 1521
 
2.3%
원 1152
 
1.7%
리 1067
 
1.6%
어 1052
 
1.6%
아 967
 
1.5%
학 921
 
1.4%
Other values (1003) 52009
78.7%
Latin
ValueCountFrequency (%)
e 279
 
5.8%
S 262
 
5.4%
a 225
 
4.7%
C 221
 
4.6%
o 201
 
4.2%
i 173
 
3.6%
E 170
 
3.5%
n 164
 
3.4%
O 163
 
3.4%
G 158
 
3.3%
Other values (41) 2820
58.3%
Common
ValueCountFrequency (%)
3925
52.6%
( 939
 
12.6%
) 935
 
12.5%
2 302
 
4.0%
5 187
 
2.5%
[ 134
 
1.8%
] 134
 
1.8%
1 133
 
1.8%
& 125
 
1.7%
. 106
 
1.4%
Other values (18) 537
 
7.2%
Han
ValueCountFrequency (%)
美 4
19.0%
人 2
 
9.5%
辛 2
 
9.5%
朱 1
 
4.8%
友 1
 
4.8%
愛 1
 
4.8%
修 1
 
4.8%
日 1
 
4.8%
熙 1
 
4.8%
讀 1
 
4.8%
Other values (6) 6
28.6%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66043
84.3%
ASCII 12293
 
15.7%
CJK 21
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3925
31.9%
( 939
 
7.6%
) 935
 
7.6%
2 302
 
2.5%
e 279
 
2.3%
S 262
 
2.1%
a 225
 
1.8%
C 221
 
1.8%
o 201
 
1.6%
5 187
 
1.5%
Other values (69) 4817
39.2%
Hangul
ValueCountFrequency (%)
점 2110
 
3.2%
이 1805
 
2.7%
포 1753
 
2.7%
김 1687
 
2.6%
스 1521
 
2.3%
원 1152
 
1.7%
리 1067
 
1.6%
어 1052
 
1.6%
아 967
 
1.5%
학 921
 
1.4%
Other values (1002) 52008
78.7%
CJK
ValueCountFrequency (%)
美 4
19.0%
人 2
 
9.5%
辛 2
 
9.5%
朱 1
 
4.8%
友 1
 
4.8%
愛 1
 
4.8%
修 1
 
4.8%
日 1
 
4.8%
熙 1
 
4.8%
讀 1
 
4.8%
Other values (6) 6
28.6%
Compat Jamo
ValueCountFrequency (%)
ㅓ 1
100.0%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

업종
Text

Distinct171
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:44:09.921106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.2269
Min length2

Characters and Unicode

Total characters42269
Distinct characters217
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.2%

Sample

1st row일반한식
2nd row예·체능계학원
3rd row애완동물
4th row일반한식
5th row편의점
ValueCountFrequency (%)
일반한식 1662
 
16.6%
서양음식 942
 
9.4%
미용원 473
 
4.7%
예·체능계학원 415
 
4.2%
스넥 387
 
3.9%
보습학원 379
 
3.8%
기타음료식품 345
 
3.5%
편의점 342
 
3.4%
기타교육기관 283
 
2.8%
피부미용실 257
 
2.6%
Other values (161) 4515
45.1%
2023-12-12T15:44:10.324262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3266
 
7.7%
원 2002
 
4.7%
일 1866
 
4.4%
반 1743
 
4.1%
한 1724
 
4.1%
기 1707
 
4.0%
음 1287
 
3.0%
서 1215
 
2.9%
타 1168
 
2.8%
· 1073
 
2.5%
Other values (207) 25218
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40971
96.9%
Other Punctuation 1187
 
2.8%
Decimal Number 35
 
0.1%
Close Punctuation 34
 
0.1%
Open Punctuation 34
 
0.1%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3266
 
8.0%
원 2002
 
4.9%
일 1866
 
4.6%
반 1743
 
4.3%
한 1724
 
4.2%
기 1707
 
4.2%
음 1287
 
3.1%
서 1215
 
3.0%
타 1168
 
2.9%
용 1060
 
2.6%
Other values (195) 23933
58.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
O 3
37.5%
S 1
 
12.5%
G 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
· 1073
90.4%
, 94
 
7.9%
/ 20
 
1.7%
Decimal Number
ValueCountFrequency (%)
4 28
80.0%
1 5
 
14.3%
3 2
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40971
96.9%
Common 1290
 
3.1%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3266
 
8.0%
원 2002
 
4.9%
일 1866
 
4.6%
반 1743
 
4.3%
한 1724
 
4.2%
기 1707
 
4.2%
음 1287
 
3.1%
서 1215
 
3.0%
타 1168
 
2.9%
용 1060
 
2.6%
Other values (195) 23933
58.4%
Common
ValueCountFrequency (%)
· 1073
83.2%
, 94
 
7.3%
) 34
 
2.6%
( 34
 
2.6%
4 28
 
2.2%
/ 20
 
1.6%
1 5
 
0.4%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
A 3
37.5%
O 3
37.5%
S 1
 
12.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40971
96.9%
None 1073
 
2.5%
ASCII 225
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3266
 
8.0%
원 2002
 
4.9%
일 1866
 
4.6%
반 1743
 
4.3%
한 1724
 
4.2%
기 1707
 
4.2%
음 1287
 
3.1%
서 1215
 
3.0%
타 1168
 
2.9%
용 1060
 
2.6%
Other values (195) 23933
58.4%
None
ValueCountFrequency (%)
· 1073
100.0%
ASCII
ValueCountFrequency (%)
, 94
41.8%
) 34
 
15.1%
( 34
 
15.1%
4 28
 
12.4%
/ 20
 
8.9%
1 5
 
2.2%
A 3
 
1.3%
O 3
 
1.3%
3 2
 
0.9%
S 1
 
0.4%

주소
Text

Distinct9698
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:44:10.643419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length56
Mean length32.447
Min length13

Characters and Unicode

Total characters324470
Distinct characters505
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9465 ?
Unique (%)94.7%

Sample

1st row경기 김포시 고촌읍 신곡로3번길 46-9
2nd row경기 김포시 김포한강3로237번길 29 3층 301호 (장기동)
3rd row경기 김포시 양촌읍 유현삭시로 277-10 (공감애견학교)
4th row경기 김포시 김포한강4로 211-45 1층 (장기동)
5th row경기 김포시 양촌읍 향동로 13 , 1층
ValueCountFrequency (%)
김포시 10001
 
15.2%
경기 9809
 
14.9%
1층 2544
 
3.9%
장기동 1217
 
1.9%
구래동 937
 
1.4%
양촌읍 800
 
1.2%
풍무동 746
 
1.1%
고촌읍 674
 
1.0%
통진읍 652
 
1.0%
운양동 613
 
0.9%
Other values (6333) 37652
57.4%
2023-12-12T15:44:11.048277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56350
 
17.4%
1 19464
 
6.0%
포 14933
 
4.6%
김 14463
 
4.5%
기 11931
 
3.7%
시 10591
 
3.3%
2 10216
 
3.1%
경 10098
 
3.1%
로 9643
 
3.0%
0 9339
 
2.9%
Other values (495) 157442
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173091
53.3%
Decimal Number 70449
21.7%
Space Separator 56351
 
17.4%
Open Punctuation 7320
 
2.3%
Close Punctuation 7319
 
2.3%
Other Punctuation 6669
 
2.1%
Dash Punctuation 2503
 
0.8%
Uppercase Letter 638
 
0.2%
Math Symbol 79
 
< 0.1%
Lowercase Letter 48
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 14933
 
8.6%
김 14463
 
8.4%
기 11931
 
6.9%
시 10591
 
6.1%
경 10098
 
5.8%
로 9643
 
5.6%
동 9213
 
5.3%
호 7129
 
4.1%
한 4447
 
2.6%
강 4393
 
2.5%
Other values (432) 76250
44.1%
Uppercase Letter
ValueCountFrequency (%)
B 180
28.2%
A 131
20.5%
E 46
 
7.2%
C 40
 
6.3%
I 35
 
5.5%
S 29
 
4.5%
J 26
 
4.1%
H 24
 
3.8%
K 22
 
3.4%
M 22
 
3.4%
Other values (13) 83
13.0%
Decimal Number
ValueCountFrequency (%)
1 19464
27.6%
2 10216
14.5%
0 9339
13.3%
3 6370
 
9.0%
4 5359
 
7.6%
8 4453
 
6.3%
5 4276
 
6.1%
7 3943
 
5.6%
6 3858
 
5.5%
9 3166
 
4.5%
Other values (4) 5
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 30
62.5%
o 3
 
6.2%
w 3
 
6.2%
r 3
 
6.2%
c 2
 
4.2%
s 2
 
4.2%
l 2
 
4.2%
b 2
 
4.2%
t 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 6624
99.3%
. 29
 
0.4%
@ 6
 
0.1%
/ 5
 
0.1%
* 3
 
< 0.1%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
56350
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2502
> 99.9%
－ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 78
98.7%
∥ 1
 
1.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 7320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7319
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173091
53.3%
Common 150691
46.4%
Latin 688
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 14933
 
8.6%
김 14463
 
8.4%
기 11931
 
6.9%
시 10591
 
6.1%
경 10098
 
5.8%
로 9643
 
5.6%
동 9213
 
5.3%
호 7129
 
4.1%
한 4447
 
2.6%
강 4393
 
2.5%
Other values (432) 76250
44.1%
Latin
ValueCountFrequency (%)
B 180
26.2%
A 131
19.0%
E 46
 
6.7%
C 40
 
5.8%
I 35
 
5.1%
e 30
 
4.4%
S 29
 
4.2%
J 26
 
3.8%
H 24
 
3.5%
K 22
 
3.2%
Other values (24) 125
18.2%
Common
ValueCountFrequency (%)
56350
37.4%
1 19464
 
12.9%
2 10216
 
6.8%
0 9339
 
6.2%
( 7320
 
4.9%
) 7319
 
4.9%
, 6624
 
4.4%
3 6370
 
4.2%
4 5359
 
3.6%
8 4453
 
3.0%
Other values (19) 17877
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173090
53.3%
ASCII 151369
46.7%
None 7
 
< 0.1%
Number Forms 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56350
37.2%
1 19464
 
12.9%
2 10216
 
6.7%
0 9339
 
6.2%
( 7320
 
4.8%
) 7319
 
4.8%
, 6624
 
4.4%
3 6370
 
4.2%
4 5359
 
3.5%
8 4453
 
2.9%
Other values (44) 18555
 
12.3%
Hangul
ValueCountFrequency (%)
포 14933
 
8.6%
김 14463
 
8.4%
기 11931
 
6.9%
시 10591
 
6.1%
경 10098
 
5.8%
로 9643
 
5.6%
동 9213
 
5.3%
호 7129
 
4.1%
한 4447
 
2.6%
강 4393
 
2.5%
Other values (431) 76249
44.1%
None
ValueCountFrequency (%)
５ 2
28.6%
１ 1
14.3%
－ 1
14.3%
０ 1
14.3%
３ 1
14.3%
　 1
14.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅱ 1
50.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-08-16
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-16
2nd row2023-08-16
3rd row2023-08-16
4th row2023-08-16
5th row2023-08-16

Common Values

ValueCountFrequency (%)
2023-08-16 10000
100.0%

Length

2023-12-12T15:44:11.171603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:44:11.255548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-16 10000
100.0%

Missing values

2023-12-12T15:44:08.539176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:44:08.627443image/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

사업자 명칭업종주소데이터기준일자
10952골목술집일반한식경기 김포시 고촌읍 신곡로3번길 46-92023-08-16
12962피피피 폴센터(ppp pole center)예·체능계학원경기 김포시 김포한강3로237번길 29 3층 301호 (장기동)2023-08-16
13171공감애견학교애완동물경기 김포시 양촌읍 유현삭시로 277-10 (공감애견학교)2023-08-16
11628청초수 물회&섭국일반한식경기 김포시 김포한강4로 211-45 1층 (장기동)2023-08-16
3851세븐일레븐김포향동로점편의점경기 김포시 양촌읍 향동로 13 , 1층2023-08-16
6087세븐일레븐구래스위트점편의점경기 김포시 김포한강10로133번길 76 (구래동,스위트엠 아크라시티 104호)2023-08-16
6041파리게이츠 김포장기점정장경기 김포시 양촌읍 누산리 423-52023-08-16
15765패딩턴 영어학원외국어학원경기 김포시 고촌읍 상미4로 20 504호2023-08-16
14274애플꼬마김밥 운양점일반한식경기 김포시 김포한강1로 227 107호 (운양동, 광장프라자)2023-08-16
6455양평해장국일반한식경기 김포시 김포대로 1123 ,1층 (걸포동)2023-08-16
사업자 명칭업종주소데이터기준일자
2847즐거운치과의원치과의원경기 김포시 사우중로 48 드림월드 3층(사우동)2023-08-16
9943주식회사 통진서비스자동차정비경기 김포시 통진읍 서암고정로 1962023-08-16
14455드럼컴퍼니(Drum Company) Studio종합용역경기 김포시 김포한강1로 230 4층 419호 (운양동)2023-08-16
8261178'C(백칠십팔도시)일반한식경기 김포시 대곶면 대명항1로92번길 102023-08-16
114삼부숯불갈비일반한식경기 김포시 통진읍 애기봉로 580 ,나동 2층2023-08-16
9085불타는 랍스터 김포한강신도시점일반한식경기 김포시 김포한강9로75번길 142 태림 더 끌리움 1차 1층 115호(구래동)2023-08-16
849라인호텔기타숙박업경기 김포시 통진읍 김포대로 2337 라인호텔2023-08-16
1323더하기빼기한의원한의원경기 김포시 풍무로 20 (풍무동)2023-08-16
3646향산유니팝미술학원예·체능계학원경기 김포시 고촌읍 상미1로 2 801호2023-08-16
2171버블스토리 키즈헤어미용원경기 김포시 김포한강11로 288-19 ,807호 (운양동,운양프라자)2023-08-16

Duplicate rows

Most frequently occurring

사업자 명칭업종주소데이터기준일자# duplicates
19아모레카운셀러화장품경기 김포시 김포대로 839 601호(사우동, 보보스프라자)2023-08-1611
18아모레카운셀러화장품경기 김포시 김포대로 839 601호 (사우동,보보스프라자)2023-08-165
8명랑부대찌개 장기점일반한식경기 김포시 김포한강1로51번길 12 103호 (장기동, 동서메디칼빌딩)2023-08-163
17아모레카운셀러화장품경기 김포시 김포대로 839 , 601호 (사우동,보보스프라자)2023-08-163
24유어쿠키서양음식경기 김포시 통진읍 율마로 339-26 1층 102호2023-08-163
0Able쿠키기타음료식품경기 김포시 금포로 1487-5 (운양동)2023-08-162
1그레이스 건강관리 구래점피부미용실경기 김포시 김포한강4로 487 ,2층 2042호,2043호 (구래동,반도유보라4차)2023-08-162
2김종용누룽지통닭 풍무점일반한식경기 김포시 승가로 8 (풍무동)2023-08-162
3김포두레식당일반한식경기 김포시 통진읍 김포대로 2358 ,1층2023-08-162
4김포한강유도체육관예·체능계학원경기 김포시 김포한강9로 90 ,6층 601호 (구래동)2023-08-162