Overview

Dataset statistics

Number of variables7
Number of observations262
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory57.5 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description부천시 관내의 방문판매 업체 현황으로 번호, 관리번호, 법인또는상호, 운영상태, 법인구분, 소재지주소, 취급품목 등의 정보를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/3079311/fileData.do

Alerts

운영상태 has constant value ""Constant
번호 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:27:58.032784
Analysis finished2023-12-12 01:27:58.854784
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.5
Minimum1
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T10:27:58.967041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.05
Q166.25
median131.5
Q3196.75
95-th percentile248.95
Maximum262
Range261
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation75.777085
Coefficient of variation (CV)0.5762516
Kurtosis-1.2
Mean131.5
Median Absolute Deviation (MAD)65.5
Skewness0
Sum34453
Variance5742.1667
MonotonicityStrictly increasing
2023-12-12T10:27:59.146631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
166 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
Other values (252) 252
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%

관리번호
Text

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T10:27:59.434125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.759542
Min length8

Characters and Unicode

Total characters3605
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)100.0%

Sample

1st row2022-경기부천-0043
2nd row2022-경기부천-0042
3rd row2022-경기부천-0041
4th row2022-경기부천-0040
5th row2022-경기부천-0039
ValueCountFrequency (%)
2022-경기부천-0043 1
 
0.4%
2018-경기부천-0023 1
 
0.4%
2018-경기부천-0014 1
 
0.4%
2018-경기부천-0011 1
 
0.4%
2018-경기부천-0009 1
 
0.4%
2018-경기부천-0007 1
 
0.4%
2018-경기부천-0006 1
 
0.4%
2018-경기부천-0005 1
 
0.4%
2018-경기부천-0004 1
 
0.4%
2017-경기부천-0083 1
 
0.4%
Other values (252) 252
96.2%
2023-12-12T10:27:59.869085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 874
24.2%
- 512
14.2%
2 466
12.9%
1 263
 
7.3%
부 256
 
7.1%
천 256
 
7.1%
경 250
 
6.9%
기 250
 
6.9%
9 84
 
2.3%
4 79
 
2.2%
Other values (5) 315
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2081
57.7%
Other Letter 1012
28.1%
Dash Punctuation 512
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 874
42.0%
2 466
22.4%
1 263
 
12.6%
9 84
 
4.0%
4 79
 
3.8%
8 68
 
3.3%
3 67
 
3.2%
7 62
 
3.0%
5 60
 
2.9%
6 58
 
2.8%
Other Letter
ValueCountFrequency (%)
부 256
25.3%
천 256
25.3%
경 250
24.7%
기 250
24.7%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2593
71.9%
Hangul 1012
 
28.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 874
33.7%
- 512
19.7%
2 466
18.0%
1 263
 
10.1%
9 84
 
3.2%
4 79
 
3.0%
8 68
 
2.6%
3 67
 
2.6%
7 62
 
2.4%
5 60
 
2.3%
Hangul
ValueCountFrequency (%)
부 256
25.3%
천 256
25.3%
경 250
24.7%
기 250
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2593
71.9%
Hangul 1012
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 874
33.7%
- 512
19.7%
2 466
18.0%
1 263
 
10.1%
9 84
 
3.2%
4 79
 
3.0%
8 68
 
2.6%
3 67
 
2.6%
7 62
 
2.4%
5 60
 
2.3%
Hangul
ValueCountFrequency (%)
부 256
25.3%
천 256
25.3%
경 250
24.7%
기 250
24.7%

법인또는상호
Text

Distinct261
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T10:28:00.196619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length16
Mean length8.1603053
Min length1

Characters and Unicode

Total characters2138
Distinct characters347
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)99.2%

Sample

1st row코웨이 중동대리점
2nd row진성이앤아이
3rd row주식회사 리텍
4th row와이지엔 주식회사
5th row유진
ValueCountFrequency (%)
주식회사 49
 
13.0%
에치와이 6
 
1.6%
마임 4
 
1.1%
인셀덤 4
 
1.1%
윤선생영어교실 2
 
0.5%
ltd 2
 
0.5%
co 2
 
0.5%
쌍용자동차 2
 
0.5%
주 2
 
0.5%
코스메틱 2
 
0.5%
Other values (297) 303
80.2%
2023-12-12T10:28:00.701748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
5.5%
사 87
 
4.1%
주 78
 
3.6%
이 66
 
3.1%
스 55
 
2.6%
부 51
 
2.4%
식 50
 
2.3%
회 49
 
2.3%
( 46
 
2.2%
) 46
 
2.2%
Other values (337) 1493
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1830
85.6%
Space Separator 117
 
5.5%
Uppercase Letter 53
 
2.5%
Open Punctuation 46
 
2.2%
Close Punctuation 46
 
2.2%
Lowercase Letter 36
 
1.7%
Other Punctuation 9
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 87
 
4.8%
주 78
 
4.3%
이 66
 
3.6%
스 55
 
3.0%
부 51
 
2.8%
식 50
 
2.7%
회 49
 
2.7%
리 43
 
2.3%
천 40
 
2.2%
점 37
 
2.0%
Other values (295) 1274
69.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
 
11.3%
C 6
 
11.3%
N 4
 
7.5%
G 4
 
7.5%
J 3
 
5.7%
D 3
 
5.7%
T 3
 
5.7%
H 3
 
5.7%
S 3
 
5.7%
B 3
 
5.7%
Other values (12) 15
28.3%
Lowercase Letter
ValueCountFrequency (%)
o 8
22.2%
d 5
13.9%
u 4
11.1%
r 3
 
8.3%
t 3
 
8.3%
i 2
 
5.6%
l 2
 
5.6%
e 2
 
5.6%
a 2
 
5.6%
m 1
 
2.8%
Other values (4) 4
11.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 3
33.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1828
85.5%
Common 219
 
10.2%
Latin 89
 
4.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 87
 
4.8%
주 78
 
4.3%
이 66
 
3.6%
스 55
 
3.0%
부 51
 
2.8%
식 50
 
2.7%
회 49
 
2.7%
리 43
 
2.4%
천 40
 
2.2%
점 37
 
2.0%
Other values (293) 1272
69.6%
Latin
ValueCountFrequency (%)
o 8
 
9.0%
A 6
 
6.7%
C 6
 
6.7%
d 5
 
5.6%
N 4
 
4.5%
u 4
 
4.5%
G 4
 
4.5%
J 3
 
3.4%
D 3
 
3.4%
T 3
 
3.4%
Other values (26) 43
48.3%
Common
ValueCountFrequency (%)
117
53.4%
( 46
 
21.0%
) 46
 
21.0%
. 6
 
2.7%
& 3
 
1.4%
- 1
 
0.5%
Han
ValueCountFrequency (%)
愛 1
50.0%
頭 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1828
85.5%
ASCII 308
 
14.4%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
38.0%
( 46
 
14.9%
) 46
 
14.9%
o 8
 
2.6%
A 6
 
1.9%
. 6
 
1.9%
C 6
 
1.9%
d 5
 
1.6%
N 4
 
1.3%
u 4
 
1.3%
Other values (32) 60
19.5%
Hangul
ValueCountFrequency (%)
사 87
 
4.8%
주 78
 
4.3%
이 66
 
3.6%
스 55
 
3.0%
부 51
 
2.8%
식 50
 
2.7%
회 49
 
2.7%
리 43
 
2.4%
천 40
 
2.2%
점 37
 
2.0%
Other values (293) 1272
69.6%
CJK
ValueCountFrequency (%)
愛 1
50.0%
頭 1
50.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
정상영업
262 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 262
100.0%

Length

2023-12-12T10:28:00.875798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:00.989303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 262
100.0%

법인구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
개인
181 
법인
81 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 181
69.1%
법인 81
30.9%

Length

2023-12-12T10:28:01.110031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:28:01.224384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 181
69.1%
법인 81
30.9%

소재지주소
Text

Distinct258
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T10:28:01.599026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length31.614504
Min length8

Characters and Unicode

Total characters8283
Distinct characters246
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

Unique254 ?
Unique (%)96.9%

Sample

1st row경기도 부천시 중동로248번길 31 이스트타워 투 403호 (중동)
2nd row경기도 부천시 송내대로42번길 16 성민빌딩 603호 (송내동)
3rd row경기도 부천시 오정로 47 (주)리텍 (삼정동)
4th row경기도 부천시 길주로 272 코스모폴리탄 307-2호 (중동)
5th row경기도 부천시 석천로183번길 19 도담하우스 3층 301호 (중동)
ValueCountFrequency (%)
경기도 259
 
14.6%
부천시 259
 
14.6%
상동 72
 
4.1%
중동 44
 
2.5%
2층 28
 
1.6%
심곡동 26
 
1.5%
1층 25
 
1.4%
길주로 20
 
1.1%
부일로 18
 
1.0%
송내동 14
 
0.8%
Other values (586) 1004
56.8%
2023-12-12T10:28:02.157924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1509
 
18.2%
부 335
 
4.0%
동 334
 
4.0%
1 328
 
4.0%
천 300
 
3.6%
2 283
 
3.4%
도 280
 
3.4%
경 276
 
3.3%
시 261
 
3.2%
로 261
 
3.2%
Other values (236) 4116
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4528
54.7%
Decimal Number 1660
 
20.0%
Space Separator 1509
 
18.2%
Open Punctuation 260
 
3.1%
Close Punctuation 260
 
3.1%
Dash Punctuation 37
 
0.4%
Uppercase Letter 22
 
0.3%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 335
 
7.4%
동 334
 
7.4%
천 300
 
6.6%
도 280
 
6.2%
경 276
 
6.1%
시 261
 
5.8%
로 261
 
5.8%
기 259
 
5.7%
호 171
 
3.8%
길 140
 
3.1%
Other values (207) 1911
42.2%
Decimal Number
ValueCountFrequency (%)
1 328
19.8%
2 283
17.0%
0 221
13.3%
3 173
10.4%
5 135
8.1%
4 134
8.1%
7 120
 
7.2%
6 105
 
6.3%
8 90
 
5.4%
9 71
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
D 5
22.7%
Y 5
22.7%
A 4
18.2%
I 2
 
9.1%
C 1
 
4.5%
T 1
 
4.5%
M 1
 
4.5%
P 1
 
4.5%
B 1
 
4.5%
H 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
1509
100.0%
Open Punctuation
ValueCountFrequency (%)
( 260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4528
54.7%
Common 3730
45.0%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 335
 
7.4%
동 334
 
7.4%
천 300
 
6.6%
도 280
 
6.2%
경 276
 
6.1%
시 261
 
5.8%
로 261
 
5.8%
기 259
 
5.7%
호 171
 
3.8%
길 140
 
3.1%
Other values (207) 1911
42.2%
Common
ValueCountFrequency (%)
1509
40.5%
1 328
 
8.8%
2 283
 
7.6%
( 260
 
7.0%
) 260
 
7.0%
0 221
 
5.9%
3 173
 
4.6%
5 135
 
3.6%
4 134
 
3.6%
7 120
 
3.2%
Other values (6) 307
 
8.2%
Latin
ValueCountFrequency (%)
D 5
20.0%
Y 5
20.0%
A 4
16.0%
I 2
 
8.0%
C 1
 
4.0%
k 1
 
4.0%
T 1
 
4.0%
s 1
 
4.0%
M 1
 
4.0%
P 1
 
4.0%
Other values (3) 3
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4528
54.7%
ASCII 3754
45.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1509
40.2%
1 328
 
8.7%
2 283
 
7.5%
( 260
 
6.9%
) 260
 
6.9%
0 221
 
5.9%
3 173
 
4.6%
5 135
 
3.6%
4 134
 
3.6%
7 120
 
3.2%
Other values (18) 331
 
8.8%
Hangul
ValueCountFrequency (%)
부 335
 
7.4%
동 334
 
7.4%
천 300
 
6.6%
도 280
 
6.2%
경 276
 
6.1%
시 261
 
5.8%
로 261
 
5.8%
기 259
 
5.7%
호 171
 
3.8%
길 140
 
3.1%
Other values (207) 1911
42.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

취급품목
Text

Distinct53
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T10:28:02.359684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length33
Mean length8.3473282
Min length2

Characters and Unicode

Total characters2187
Distinct characters40
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)11.8%

Sample

1st row가전
2nd row자동차/자동차용품 기타
3rd row통신기기
4th row통신기기
5th row화장품/미용용품 생활용품/세제류
ValueCountFrequency (%)
건강식품 91
22.8%
기타 82
20.6%
화장품/미용용품 76
19.0%
자동차/자동차용품 33
 
8.3%
생활용품/세제류 31
 
7.8%
통신기기 26
 
6.5%
가전 19
 
4.8%
의류/패션 17
 
4.3%
교육/도서 15
 
3.8%
회원권/상품권 5
 
1.3%
2023-12-12T10:28:02.753245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 316
14.4%
용 220
 
10.1%
/ 181
 
8.3%
137
 
6.3%
기 134
 
6.1%
건 91
 
4.2%
강 91
 
4.2%
식 91
 
4.2%
타 82
 
3.7%
화 76
 
3.5%
Other values (30) 768
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1869
85.5%
Other Punctuation 181
 
8.3%
Space Separator 137
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 316
16.9%
용 220
 
11.8%
기 134
 
7.2%
건 91
 
4.9%
강 91
 
4.9%
식 91
 
4.9%
타 82
 
4.4%
화 76
 
4.1%
장 76
 
4.1%
미 76
 
4.1%
Other values (28) 616
33.0%
Other Punctuation
ValueCountFrequency (%)
/ 181
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1869
85.5%
Common 318
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 316
16.9%
용 220
 
11.8%
기 134
 
7.2%
건 91
 
4.9%
강 91
 
4.9%
식 91
 
4.9%
타 82
 
4.4%
화 76
 
4.1%
장 76
 
4.1%
미 76
 
4.1%
Other values (28) 616
33.0%
Common
ValueCountFrequency (%)
/ 181
56.9%
137
43.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1869
85.5%
ASCII 318
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 316
16.9%
용 220
 
11.8%
기 134
 
7.2%
건 91
 
4.9%
강 91
 
4.9%
식 91
 
4.9%
타 82
 
4.4%
화 76
 
4.1%
장 76
 
4.1%
미 76
 
4.1%
Other values (28) 616
33.0%
ASCII
ValueCountFrequency (%)
/ 181
56.9%
137
43.1%

Interactions

2023-12-12T10:27:58.495013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:28:02.878438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분취급품목
번호1.0000.0000.467
법인구분0.0001.0000.540
취급품목0.4670.5401.000
2023-12-12T10:28:02.969807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분
번호1.0000.000
법인구분0.0001.000

Missing values

2023-12-12T10:27:58.651143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:27:58.797781image/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

번호관리번호법인또는상호운영상태법인구분소재지주소취급품목
012022-경기부천-0043코웨이 중동대리점정상영업개인경기도 부천시 중동로248번길 31 이스트타워 투 403호 (중동)가전
122022-경기부천-0042진성이앤아이정상영업개인경기도 부천시 송내대로42번길 16 성민빌딩 603호 (송내동)자동차/자동차용품 기타
232022-경기부천-0041주식회사 리텍정상영업법인경기도 부천시 오정로 47 (주)리텍 (삼정동)통신기기
342022-경기부천-0040와이지엔 주식회사정상영업법인경기도 부천시 길주로 272 코스모폴리탄 307-2호 (중동)통신기기
452022-경기부천-0039유진정상영업개인경기도 부천시 석천로183번길 19 도담하우스 3층 301호 (중동)화장품/미용용품 생활용품/세제류
562022-경기부천-0038한국중소기업센터 주식회사정상영업법인경기도 부천시 부일로233번길 19 금강빌딩 302호 (상동)건강식품 화장품/미용용품 회원권/상품권
672022-경기부천-0037주식회사 메타버스정상영업법인경기도 부천시 부일로221번길 26 삼원타운 402호 (상동)건강식품 화장품/미용용품 회원권/상품권 가전
782022-경기부천-0036형통티비(디지털건강평생교육원)정상영업개인경기도 부천시 옥산로196번길 13 마동 2층 서쪽일부호 (도당동)건강식품 화장품/미용용품
892022-경기부천-0034현대베스트샵정상영업개인경기도 부천시 길주로 115 시그마타워 8층 8~10호 (상동)가전
9102022-경기부천-0033주식회사 지엘파트너스정상영업법인경기도 부천시 상동로 81 센타프라자 802호 (상동)건강식품 기타
번호관리번호법인또는상호운영상태법인구분소재지주소취급품목
2522532001-경기부천-0020현대역곡역판매대리점정상영업개인경기도 부천시 부일로 713 (역곡동)자동차/자동차용품
2532542000-경기부천-0059기아 시청대리점정상영업개인경기도 부천시 석천로 171 (중동 외1필지 중동프라자 303호)건강식품
2542551999-00022생그린부천지사정상영업개인경기도 부천시 성주로237번길 3 1층 (심곡본동)건강식품
2552561999-경기부천-0005현대복사골판매대리점정상영업개인경기도 부천시 중동로 147 창신빌딩 15층 (중동)건강식품 자동차/자동차용품
2562571998-00044기아여월대리점(주)정상영업법인경기도 부천시 성곡로 4 (여월동)자동차/자동차용품
2572581998-경기부천-0040대화정상영업개인경기도 부천시 경인로1185번길 57-8 1층 (송내동)건강식품
2582591998-00034현대신부천판매대리점정상영업개인경기도 부천시 부천로 386 1층 101호 (도당동 계남랑데뷰)자동차/자동차용품
2592601997-경기부천-0007윤선생영어교실부천소사교육센터정상영업개인경기도 부천시 소사동로 82 402호 (소사본동센트럴프라자)교육/도서
2602611996-경기부천-0058쉐보레부천서부영업소정상영업개인경기도 부천시 중동로 370 (약대동)건강식품
2612621996-00009아이원정상영업개인부천 중동799건강식품 교육/도서