Overview

Dataset statistics

Number of variables8
Number of observations7467
Missing cells102
Missing cells (%)0.2%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory466.8 KiB
Average record size in memory64.0 B

Variable types

Text6
Categorical2

Dataset

Description건강기능식품판매업(건강기능식품유통전문판매업 및 건강기능식품일반판매업) 현황에 대한 데이터로 업소명, 업종, 업태, 업자명 등의 항목을 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15120709&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
업태 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 업태High correlation
업종 is highly imbalanced (94.2%)Imbalance
업태 is highly imbalanced (54.4%)Imbalance

Reproduction

Analysis started2024-04-20 18:48:51.249612
Analysis finished2024-04-20 18:48:55.744907
Duration4.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct7222
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2024-04-21T03:48:56.546519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length6.8113031
Min length1

Characters and Unicode

Total characters50860
Distinct characters977
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7074 ?
Unique (%)94.7%

Sample

1st row타하라센터
2nd row뉴트리코리아 주식회사
3rd row(주)슈퍼내츄럴스
4th row(주)연제
5th row주식회사베이
ValueCountFrequency (%)
주식회사 252
 
2.7%
인셀덤 197
 
2.1%
세븐일레븐 64
 
0.7%
강화고려인삼센터 49
 
0.5%
애터미 46
 
0.5%
강화인삼센타 39
 
0.4%
인셀덤코리아 32
 
0.3%
씨제이올리브영(주 25
 
0.3%
정관장 23
 
0.2%
대리점 19
 
0.2%
Other values (7557) 8491
91.9%
2024-04-21T03:48:57.740818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1866
 
3.7%
1770
 
3.5%
스 1431
 
2.8%
인 1345
 
2.6%
점 1121
 
2.2%
리 951
 
1.9%
) 942
 
1.9%
( 940
 
1.8%
주 906
 
1.8%
아 634
 
1.2%
Other values (967) 38954
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44289
87.1%
Space Separator 1770
 
3.5%
Uppercase Letter 1350
 
2.7%
Lowercase Letter 1037
 
2.0%
Close Punctuation 942
 
1.9%
Open Punctuation 940
 
1.8%
Decimal Number 419
 
0.8%
Other Punctuation 80
 
0.2%
Dash Punctuation 27
 
0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1866
 
4.2%
스 1431
 
3.2%
인 1345
 
3.0%
점 1121
 
2.5%
리 951
 
2.1%
주 906
 
2.0%
아 634
 
1.4%
사 589
 
1.3%
셀 567
 
1.3%
에 567
 
1.3%
Other values (889) 34312
77.5%
Uppercase Letter
ValueCountFrequency (%)
S 118
 
8.7%
G 102
 
7.6%
E 84
 
6.2%
N 81
 
6.0%
H 80
 
5.9%
T 77
 
5.7%
A 76
 
5.6%
O 71
 
5.3%
M 70
 
5.2%
L 64
 
4.7%
Other values (16) 527
39.0%
Lowercase Letter
ValueCountFrequency (%)
e 133
12.8%
a 120
11.6%
o 98
 
9.5%
l 87
 
8.4%
n 69
 
6.7%
i 61
 
5.9%
s 58
 
5.6%
r 56
 
5.4%
t 45
 
4.3%
h 41
 
4.0%
Other values (15) 269
25.9%
Other Punctuation
ValueCountFrequency (%)
& 40
50.0%
. 21
26.2%
？ 6
 
7.5%
' 3
 
3.8%
: 3
 
3.8%
/ 2
 
2.5%
, 1
 
1.2%
· 1
 
1.2%
! 1
 
1.2%
# 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 103
24.6%
1 74
17.7%
5 63
15.0%
0 54
12.9%
3 43
10.3%
7 22
 
5.3%
4 20
 
4.8%
6 14
 
3.3%
9 14
 
3.3%
8 12
 
2.9%
Space Separator
ValueCountFrequency (%)
1770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 942
100.0%
Open Punctuation
ValueCountFrequency (%)
( 940
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44284
87.1%
Common 4184
 
8.2%
Latin 2387
 
4.7%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1866
 
4.2%
스 1431
 
3.2%
인 1345
 
3.0%
점 1121
 
2.5%
리 951
 
2.1%
주 906
 
2.0%
아 634
 
1.4%
사 589
 
1.3%
셀 567
 
1.3%
에 567
 
1.3%
Other values (885) 34307
77.5%
Latin
ValueCountFrequency (%)
e 133
 
5.6%
a 120
 
5.0%
S 118
 
4.9%
G 102
 
4.3%
o 98
 
4.1%
l 87
 
3.6%
E 84
 
3.5%
N 81
 
3.4%
H 80
 
3.4%
T 77
 
3.2%
Other values (41) 1407
58.9%
Common
ValueCountFrequency (%)
1770
42.3%
) 942
22.5%
( 940
22.5%
2 103
 
2.5%
1 74
 
1.8%
5 63
 
1.5%
0 54
 
1.3%
3 43
 
1.0%
& 40
 
1.0%
- 27
 
0.6%
Other values (17) 128
 
3.1%
Han
ValueCountFrequency (%)
美 2
40.0%
姸 1
20.0%
光 1
20.0%
愛 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44284
87.1%
ASCII 6562
 
12.9%
None 8
 
< 0.1%
CJK 5
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1866
 
4.2%
스 1431
 
3.2%
인 1345
 
3.0%
점 1121
 
2.5%
리 951
 
2.1%
주 906
 
2.0%
아 634
 
1.4%
사 589
 
1.3%
셀 567
 
1.3%
에 567
 
1.3%
Other values (885) 34307
77.5%
ASCII
ValueCountFrequency (%)
1770
27.0%
) 942
14.4%
( 940
14.3%
e 133
 
2.0%
a 120
 
1.8%
S 118
 
1.8%
2 103
 
1.6%
G 102
 
1.6%
o 98
 
1.5%
l 87
 
1.3%
Other values (64) 2149
32.7%
None
ValueCountFrequency (%)
？ 6
75.0%
· 1
 
12.5%
＆ 1
 
12.5%
CJK
ValueCountFrequency (%)
美 2
40.0%
姸 1
20.0%
光 1
20.0%
愛 1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
건강기능식품일반판매업
7417 
건강기능식품유통전문판매업
 
50

Length

Max length13
Median length11
Mean length11.013392
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품일반판매업 7417
99.3%
건강기능식품유통전문판매업 50
 
0.7%

Length

2024-04-21T03:48:57.983754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:48:58.173030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품일반판매업 7417
99.3%
건강기능식품유통전문판매업 50
 
0.7%

업태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
전자상거래(통신판매업)
4603 
영업장판매
2020 
방문판매
537 
통신판매
 
77
도매업(유통)
 
58
Other values (5)
 
172

Length

Max length14
Median length12
Mean length9.3534217
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자상거래(통신판매업) 4603
61.6%
영업장판매 2020
27.1%
방문판매 537
 
7.2%
통신판매 77
 
1.0%
도매업(유통) 58
 
0.8%
건강기능식품유통전문판매업 50
 
0.7%
다단계판매 36
 
0.5%
기타(복합 등) 33
 
0.4%
기타 건강기능식품일반판매업 29
 
0.4%
전화권유판매 24
 
0.3%

Length

2024-04-21T03:48:58.357437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:48:58.587095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자상거래(통신판매업 4603
61.1%
영업장판매 2020
26.8%
방문판매 537
 
7.1%
통신판매 77
 
1.0%
도매업(유통 58
 
0.8%
건강기능식품유통전문판매업 50
 
0.7%
다단계판매 36
 
0.5%
기타(복합 33
 
0.4%
등 33
 
0.4%
기타 29
 
0.4%
Other values (2) 53
 
0.7%

업자명
Text

Distinct5771
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2024-04-21T03:48:59.881722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.1186554
Min length2

Characters and Unicode

Total characters23287
Distinct characters352
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4922 ?
Unique (%)65.9%

Sample

1st row이영희
2nd row최석철
3rd row우경진
4th row장인호
5th row김덕배
ValueCountFrequency (%)
최경호 124
 
1.6%
이선정 67
 
0.9%
이제훈 26
 
0.3%
이정애 23
 
0.3%
강희석 20
 
0.3%
허연수 19
 
0.3%
김승환 17
 
0.2%
강성현 15
 
0.2%
김성영 14
 
0.2%
국군복지단 13
 
0.2%
Other values (5816) 7225
95.5%
2024-04-21T03:49:01.617511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1501
 
6.4%
이 1168
 
5.0%
정 969
 
4.2%
경 587
 
2.5%
영 581
 
2.5%
박 566
 
2.4%
희 486
 
2.1%
최 485
 
2.1%
현 480
 
2.1%
진 457
 
2.0%
Other values (342) 16007
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22390
96.1%
Uppercase Letter 755
 
3.2%
Space Separator 96
 
0.4%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Lowercase Letter 8
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1501
 
6.7%
이 1168
 
5.2%
정 969
 
4.3%
경 587
 
2.6%
영 581
 
2.6%
박 566
 
2.5%
희 486
 
2.2%
최 485
 
2.2%
현 480
 
2.1%
진 457
 
2.0%
Other values (303) 15110
67.5%
Uppercase Letter
ValueCountFrequency (%)
N 106
14.0%
I 94
12.5%
A 75
9.9%
U 66
 
8.7%
H 60
 
7.9%
G 52
 
6.9%
O 40
 
5.3%
E 37
 
4.9%
L 30
 
4.0%
Y 26
 
3.4%
Other values (16) 169
22.4%
Lowercase Letter
ValueCountFrequency (%)
n 1
12.5%
o 1
12.5%
g 1
12.5%
e 1
12.5%
u 1
12.5%
h 1
12.5%
s 1
12.5%
i 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22390
96.1%
Latin 763
 
3.3%
Common 134
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1501
 
6.7%
이 1168
 
5.2%
정 969
 
4.3%
경 587
 
2.6%
영 581
 
2.6%
박 566
 
2.5%
희 486
 
2.2%
최 485
 
2.2%
현 480
 
2.1%
진 457
 
2.0%
Other values (303) 15110
67.5%
Latin
ValueCountFrequency (%)
N 106
13.9%
I 94
12.3%
A 75
9.8%
U 66
 
8.7%
H 60
 
7.9%
G 52
 
6.8%
O 40
 
5.2%
E 37
 
4.8%
L 30
 
3.9%
Y 26
 
3.4%
Other values (24) 177
23.2%
Common
ValueCountFrequency (%)
96
71.6%
( 18
 
13.4%
) 18
 
13.4%
2 1
 
0.7%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22390
96.1%
ASCII 897
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1501
 
6.7%
이 1168
 
5.2%
정 969
 
4.3%
경 587
 
2.6%
영 581
 
2.6%
박 566
 
2.5%
희 486
 
2.2%
최 485
 
2.2%
현 480
 
2.1%
진 457
 
2.0%
Other values (303) 15110
67.5%
ASCII
ValueCountFrequency (%)
N 106
11.8%
96
 
10.7%
I 94
 
10.5%
A 75
 
8.4%
U 66
 
7.4%
H 60
 
6.7%
G 52
 
5.8%
O 40
 
4.5%
E 37
 
4.1%
L 30
 
3.3%
Other values (29) 241
26.9%

지번주소
Text

Distinct6879
Distinct (%)92.2%
Missing4
Missing (%)0.1%
Memory size58.5 KiB
2024-04-21T03:49:02.865952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length53
Mean length33.144044
Min length16

Characters and Unicode

Total characters247354
Distinct characters580
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6567 ?
Unique (%)88.0%

Sample

1st row인천광역시 서구 청라동 157번지 5호 청라골든프라자 304호일부
2nd row인천광역시 서구 심곡동 259번지 9호 2층
3rd row인천광역시 서구 석남동 223번지 834호 2층
4th row인천광역시 서구 가좌동 539번지 15호 IBC센터-201
5th row인천광역시 서구 가정동 611번지 24호
ValueCountFrequency (%)
인천광역시 7463
 
15.1%
서구 1740
 
3.5%
1호 1327
 
2.7%
부평구 1252
 
2.5%
남동구 1154
 
2.3%
연수구 1065
 
2.2%
미추홀구 809
 
1.6%
송도동 653
 
1.3%
계양구 641
 
1.3%
3호 556
 
1.1%
Other values (7697) 32786
66.3%
2024-04-21T03:49:04.574786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41983
 
17.0%
1 12918
 
5.2%
동 9186
 
3.7%
지 8378
 
3.4%
0 8083
 
3.3%
시 7865
 
3.2%
인 7852
 
3.2%
천 7819
 
3.2%
구 7650
 
3.1%
광 7589
 
3.1%
Other values (570) 128031
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144412
58.4%
Decimal Number 54155
 
21.9%
Space Separator 41983
 
17.0%
Dash Punctuation 3653
 
1.5%
Uppercase Letter 1533
 
0.6%
Other Punctuation 443
 
0.2%
Open Punctuation 387
 
0.2%
Close Punctuation 387
 
0.2%
Lowercase Letter 355
 
0.1%
Math Symbol 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9186
 
6.4%
지 8378
 
5.8%
시 7865
 
5.4%
인 7852
 
5.4%
천 7819
 
5.4%
구 7650
 
5.3%
광 7589
 
5.3%
역 7533
 
5.2%
번 7474
 
5.2%
호 7466
 
5.2%
Other values (503) 65600
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 236
15.4%
A 155
10.1%
S 139
 
9.1%
C 132
 
8.6%
E 105
 
6.8%
I 105
 
6.8%
K 88
 
5.7%
L 84
 
5.5%
W 65
 
4.2%
V 65
 
4.2%
Other values (15) 359
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 124
34.9%
s 34
 
9.6%
r 33
 
9.3%
a 32
 
9.0%
y 25
 
7.0%
d 23
 
6.5%
k 20
 
5.6%
o 14
 
3.9%
i 11
 
3.1%
b 10
 
2.8%
Other values (8) 29
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 12918
23.9%
0 8083
14.9%
2 7020
13.0%
3 5487
10.1%
4 4736
 
8.7%
5 3888
 
7.2%
6 3795
 
7.0%
7 2783
 
5.1%
8 2741
 
5.1%
9 2704
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 367
82.8%
. 33
 
7.4%
' 22
 
5.0%
/ 9
 
2.0%
& 8
 
1.8%
@ 3
 
0.7%
· 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
41983
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 387
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144412
58.4%
Common 101052
40.9%
Latin 1890
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9186
 
6.4%
지 8378
 
5.8%
시 7865
 
5.4%
인 7852
 
5.4%
천 7819
 
5.4%
구 7650
 
5.3%
광 7589
 
5.3%
역 7533
 
5.2%
번 7474
 
5.2%
호 7466
 
5.2%
Other values (503) 65600
45.4%
Latin
ValueCountFrequency (%)
B 236
 
12.5%
A 155
 
8.2%
S 139
 
7.4%
C 132
 
7.0%
e 124
 
6.6%
E 105
 
5.6%
I 105
 
5.6%
K 88
 
4.7%
L 84
 
4.4%
W 65
 
3.4%
Other values (35) 657
34.8%
Common
ValueCountFrequency (%)
41983
41.5%
1 12918
 
12.8%
0 8083
 
8.0%
2 7020
 
6.9%
3 5487
 
5.4%
4 4736
 
4.7%
5 3888
 
3.8%
6 3795
 
3.8%
- 3653
 
3.6%
7 2783
 
2.8%
Other values (12) 6706
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144411
58.4%
ASCII 102939
41.6%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41983
40.8%
1 12918
 
12.5%
0 8083
 
7.9%
2 7020
 
6.8%
3 5487
 
5.3%
4 4736
 
4.6%
5 3888
 
3.8%
6 3795
 
3.7%
- 3653
 
3.5%
7 2783
 
2.7%
Other values (54) 8593
 
8.3%
Hangul
ValueCountFrequency (%)
동 9186
 
6.4%
지 8378
 
5.8%
시 7865
 
5.4%
인 7852
 
5.4%
천 7819
 
5.4%
구 7650
 
5.3%
광 7589
 
5.3%
역 7533
 
5.2%
번 7474
 
5.2%
호 7466
 
5.2%
Other values (502) 65599
45.4%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 1
100.0%

지번주소(자치단체제외)
Text

Distinct6879
Distinct (%)92.2%
Missing4
Missing (%)0.1%
Memory size58.5 KiB
2024-04-21T03:49:05.657998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length44
Mean length23.33847
Min length7

Characters and Unicode

Total characters174175
Distinct characters580
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6567 ?
Unique (%)88.0%

Sample

1st row청라동 157번지 5호 청라골든프라자 304호일부
2nd row심곡동 259번지 9호 2층
3rd row석남동 223번지 834호 2층
4th row가좌동 539번지 15호 IBC센터-201
5th row가정동 611번지 24호
ValueCountFrequency (%)
1호 1327
 
3.8%
송도동 653
 
1.9%
3호 556
 
1.6%
2호 531
 
1.5%
부평동 475
 
1.4%
1층 429
 
1.2%
청라동 423
 
1.2%
4호 380
 
1.1%
구월동 363
 
1.1%
주안동 339
 
1.0%
Other values (7686) 29044
84.1%
2024-04-21T03:49:07.367694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27057
 
15.5%
1 12918
 
7.4%
지 8378
 
4.8%
0 8083
 
4.6%
동 7922
 
4.5%
번 7474
 
4.3%
호 7466
 
4.3%
2 7020
 
4.0%
3 5487
 
3.2%
4 4736
 
2.7%
Other values (570) 77634
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86159
49.5%
Decimal Number 54155
31.1%
Space Separator 27057
 
15.5%
Dash Punctuation 3653
 
2.1%
Uppercase Letter 1533
 
0.9%
Other Punctuation 443
 
0.3%
Open Punctuation 387
 
0.2%
Close Punctuation 387
 
0.2%
Lowercase Letter 355
 
0.2%
Math Symbol 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8378
 
9.7%
동 7922
 
9.2%
번 7474
 
8.7%
호 7466
 
8.7%
트 1879
 
2.2%
아 1673
 
1.9%
부 1659
 
1.9%
층 1657
 
1.9%
라 1537
 
1.8%
도 1434
 
1.7%
Other values (503) 45080
52.3%
Uppercase Letter
ValueCountFrequency (%)
B 236
15.4%
A 155
10.1%
S 139
 
9.1%
C 132
 
8.6%
E 105
 
6.8%
I 105
 
6.8%
K 88
 
5.7%
L 84
 
5.5%
V 65
 
4.2%
W 65
 
4.2%
Other values (15) 359
23.4%
Lowercase Letter
ValueCountFrequency (%)
e 124
34.9%
s 34
 
9.6%
r 33
 
9.3%
a 32
 
9.0%
y 25
 
7.0%
d 23
 
6.5%
k 20
 
5.6%
o 14
 
3.9%
i 11
 
3.1%
b 10
 
2.8%
Other values (8) 29
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 12918
23.9%
0 8083
14.9%
2 7020
13.0%
3 5487
10.1%
4 4736
 
8.7%
5 3888
 
7.2%
6 3795
 
7.0%
7 2783
 
5.1%
8 2741
 
5.1%
9 2704
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 367
82.8%
. 33
 
7.4%
' 22
 
5.0%
/ 9
 
2.0%
& 8
 
1.8%
@ 3
 
0.7%
· 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
27057
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3653
100.0%
Open Punctuation
ValueCountFrequency (%)
( 387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 387
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86159
49.5%
Common 86126
49.4%
Latin 1890
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8378
 
9.7%
동 7922
 
9.2%
번 7474
 
8.7%
호 7466
 
8.7%
트 1879
 
2.2%
아 1673
 
1.9%
부 1659
 
1.9%
층 1657
 
1.9%
라 1537
 
1.8%
도 1434
 
1.7%
Other values (503) 45080
52.3%
Latin
ValueCountFrequency (%)
B 236
 
12.5%
A 155
 
8.2%
S 139
 
7.4%
C 132
 
7.0%
e 124
 
6.6%
E 105
 
5.6%
I 105
 
5.6%
K 88
 
4.7%
L 84
 
4.4%
V 65
 
3.4%
Other values (35) 657
34.8%
Common
ValueCountFrequency (%)
27057
31.4%
1 12918
15.0%
0 8083
 
9.4%
2 7020
 
8.2%
3 5487
 
6.4%
4 4736
 
5.5%
5 3888
 
4.5%
6 3795
 
4.4%
- 3653
 
4.2%
7 2783
 
3.2%
Other values (12) 6706
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88013
50.5%
Hangul 86158
49.5%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27057
30.7%
1 12918
14.7%
0 8083
 
9.2%
2 7020
 
8.0%
3 5487
 
6.2%
4 4736
 
5.4%
5 3888
 
4.4%
6 3795
 
4.3%
- 3653
 
4.2%
7 2783
 
3.2%
Other values (54) 8593
 
9.8%
Hangul
ValueCountFrequency (%)
지 8378
 
9.7%
동 7922
 
9.2%
번 7474
 
8.7%
호 7466
 
8.7%
트 1879
 
2.2%
아 1673
 
1.9%
부 1659
 
1.9%
층 1657
 
1.9%
라 1537
 
1.8%
도 1434
 
1.7%
Other values (502) 45079
52.3%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 1
100.0%

도로명주소
Text

Distinct7056
Distinct (%)95.1%
Missing47
Missing (%)0.6%
Memory size58.5 KiB
2024-04-21T03:49:08.639897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length63
Mean length40.611321
Min length19

Characters and Unicode

Total characters301336
Distinct characters591
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

Unique6877 ?
Unique (%)92.7%

Sample

1st row인천광역시 서구 청라커낼로 280, 청라골든프라자 304호일부 (청라동)
2nd row인천광역시 서구 서곶로255번길 14-7, (심곡동)
3rd row인천광역시 서구 건지로121번길 43-3, 2층 (석남동)
4th row인천광역시 서구 가좌로29번길 22, IBC센터 201호 (가좌동)
5th row인천광역시 서구 염곡로498번안길 30, 501일부호 (가정동)
ValueCountFrequency (%)
인천광역시 7420
 
13.0%
서구 1728
 
3.0%
부평구 1240
 
2.2%
남동구 1154
 
2.0%
연수구 1065
 
1.9%
1층 864
 
1.5%
미추홀구 802
 
1.4%
일부호 748
 
1.3%
송도동 648
 
1.1%
계양구 636
 
1.1%
Other values (7751) 40734
71.4%
2024-04-21T03:49:10.460306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49619
 
16.5%
1 12958
 
4.3%
동 12237
 
4.1%
, 11033
 
3.7%
0 8849
 
2.9%
인 8295
 
2.8%
시 8001
 
2.7%
천 7960
 
2.6%
2 7958
 
2.6%
구 7768
 
2.6%
Other values (581) 166658
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166585
55.3%
Decimal Number 55732
 
18.5%
Space Separator 49619
 
16.5%
Other Punctuation 11105
 
3.7%
Close Punctuation 7506
 
2.5%
Open Punctuation 7505
 
2.5%
Uppercase Letter 1657
 
0.5%
Dash Punctuation 1211
 
0.4%
Lowercase Letter 358
 
0.1%
Math Symbol 56
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12237
 
7.3%
인 8295
 
5.0%
시 8001
 
4.8%
천 7960
 
4.8%
구 7768
 
4.7%
로 7598
 
4.6%
광 7566
 
4.5%
역 7525
 
4.5%
호 6541
 
3.9%
부 3555
 
2.1%
Other values (514) 89539
53.7%
Uppercase Letter
ValueCountFrequency (%)
B 282
17.0%
A 174
10.5%
C 146
 
8.8%
S 144
 
8.7%
E 110
 
6.6%
I 107
 
6.5%
K 92
 
5.6%
L 83
 
5.0%
W 68
 
4.1%
V 67
 
4.0%
Other values (15) 384
23.2%
Lowercase Letter
ValueCountFrequency (%)
e 126
35.2%
s 35
 
9.8%
r 34
 
9.5%
a 32
 
8.9%
y 25
 
7.0%
d 24
 
6.7%
k 20
 
5.6%
o 14
 
3.9%
i 11
 
3.1%
t 8
 
2.2%
Other values (8) 29
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 12958
23.3%
0 8849
15.9%
2 7958
14.3%
3 6083
10.9%
4 4697
 
8.4%
5 3958
 
7.1%
6 3430
 
6.2%
7 2828
 
5.1%
8 2769
 
5.0%
9 2202
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 11033
99.4%
. 30
 
0.3%
' 23
 
0.2%
/ 8
 
0.1%
& 8
 
0.1%
@ 2
 
< 0.1%
· 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
49619
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166585
55.3%
Common 132734
44.0%
Latin 2017
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12237
 
7.3%
인 8295
 
5.0%
시 8001
 
4.8%
천 7960
 
4.8%
구 7768
 
4.7%
로 7598
 
4.6%
광 7566
 
4.5%
역 7525
 
4.5%
호 6541
 
3.9%
부 3555
 
2.1%
Other values (514) 89539
53.7%
Latin
ValueCountFrequency (%)
B 282
14.0%
A 174
 
8.6%
C 146
 
7.2%
S 144
 
7.1%
e 126
 
6.2%
E 110
 
5.5%
I 107
 
5.3%
K 92
 
4.6%
L 83
 
4.1%
W 68
 
3.4%
Other values (35) 685
34.0%
Common
ValueCountFrequency (%)
49619
37.4%
1 12958
 
9.8%
, 11033
 
8.3%
0 8849
 
6.7%
2 7958
 
6.0%
) 7506
 
5.7%
( 7505
 
5.7%
3 6083
 
4.6%
4 4697
 
3.5%
5 3958
 
3.0%
Other values (12) 12568
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166585
55.3%
ASCII 134748
44.7%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49619
36.8%
1 12958
 
9.6%
, 11033
 
8.2%
0 8849
 
6.6%
2 7958
 
5.9%
) 7506
 
5.6%
( 7505
 
5.6%
3 6083
 
4.5%
4 4697
 
3.5%
5 3958
 
2.9%
Other values (54) 14582
 
10.8%
Hangul
ValueCountFrequency (%)
동 12237
 
7.3%
인 8295
 
5.0%
시 8001
 
4.8%
천 7960
 
4.8%
구 7768
 
4.7%
로 7598
 
4.6%
광 7566
 
4.5%
역 7525
 
4.5%
호 6541
 
3.9%
부 3555
 
2.1%
Other values (514) 89539
53.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소(자치단체제외)
Text

Distinct7056
Distinct (%)95.1%
Missing47
Missing (%)0.6%
Memory size58.5 KiB
2024-04-21T03:49:11.671297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length53
Mean length30.805795
Min length9

Characters and Unicode

Total characters228579
Distinct characters591
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

Unique6877 ?
Unique (%)92.7%

Sample

1st row청라커낼로 280, 청라골든프라자 304호일부 (청라동)
2nd row서곶로255번길 14-7, (심곡동)
3rd row건지로121번길 43-3, 2층 (석남동)
4th row가좌로29번길 22, IBC센터 201호 (가좌동)
5th row염곡로498번안길 30, 501일부호 (가정동)
ValueCountFrequency (%)
1층 864
 
2.0%
일부호 748
 
1.8%
송도동 648
 
1.5%
2층 550
 
1.3%
부평동 460
 
1.1%
청라동 389
 
0.9%
구월동 354
 
0.8%
3층 344
 
0.8%
주안동 330
 
0.8%
4층 311
 
0.7%
Other values (7740) 37201
88.2%
2024-04-21T03:49:13.422157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34779
 
15.2%
1 12958
 
5.7%
, 11033
 
4.8%
동 10974
 
4.8%
0 8849
 
3.9%
2 7958
 
3.5%
로 7598
 
3.3%
) 7506
 
3.3%
( 7505
 
3.3%
호 6541
 
2.9%
Other values (581) 112878
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 108668
47.5%
Decimal Number 55732
24.4%
Space Separator 34779
 
15.2%
Other Punctuation 11105
 
4.9%
Close Punctuation 7506
 
3.3%
Open Punctuation 7505
 
3.3%
Uppercase Letter 1657
 
0.7%
Dash Punctuation 1211
 
0.5%
Lowercase Letter 358
 
0.2%
Math Symbol 56
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10974
 
10.1%
로 7598
 
7.0%
호 6541
 
6.0%
길 3287
 
3.0%
층 3111
 
2.9%
번 2918
 
2.7%
부 2315
 
2.1%
트 2024
 
1.9%
아 1936
 
1.8%
라 1827
 
1.7%
Other values (514) 66137
60.9%
Uppercase Letter
ValueCountFrequency (%)
B 282
17.0%
A 174
10.5%
C 146
 
8.8%
S 144
 
8.7%
E 110
 
6.6%
I 107
 
6.5%
K 92
 
5.6%
L 83
 
5.0%
W 68
 
4.1%
V 67
 
4.0%
Other values (15) 384
23.2%
Lowercase Letter
ValueCountFrequency (%)
e 126
35.2%
s 35
 
9.8%
r 34
 
9.5%
a 32
 
8.9%
y 25
 
7.0%
d 24
 
6.7%
k 20
 
5.6%
o 14
 
3.9%
i 11
 
3.1%
t 8
 
2.2%
Other values (8) 29
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 12958
23.3%
0 8849
15.9%
2 7958
14.3%
3 6083
10.9%
4 4697
 
8.4%
5 3958
 
7.1%
6 3430
 
6.2%
7 2828
 
5.1%
8 2769
 
5.0%
9 2202
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 11033
99.4%
. 30
 
0.3%
' 23
 
0.2%
& 8
 
0.1%
/ 8
 
0.1%
@ 2
 
< 0.1%
· 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%
Space Separator
ValueCountFrequency (%)
34779
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117894
51.6%
Hangul 108668
47.5%
Latin 2017
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10974
 
10.1%
로 7598
 
7.0%
호 6541
 
6.0%
길 3287
 
3.0%
층 3111
 
2.9%
번 2918
 
2.7%
부 2315
 
2.1%
트 2024
 
1.9%
아 1936
 
1.8%
라 1827
 
1.7%
Other values (514) 66137
60.9%
Latin
ValueCountFrequency (%)
B 282
14.0%
A 174
 
8.6%
C 146
 
7.2%
S 144
 
7.1%
e 126
 
6.2%
E 110
 
5.5%
I 107
 
5.3%
K 92
 
4.6%
L 83
 
4.1%
W 68
 
3.4%
Other values (35) 685
34.0%
Common
ValueCountFrequency (%)
34779
29.5%
1 12958
 
11.0%
, 11033
 
9.4%
0 8849
 
7.5%
2 7958
 
6.8%
) 7506
 
6.4%
( 7505
 
6.4%
3 6083
 
5.2%
4 4697
 
4.0%
5 3958
 
3.4%
Other values (12) 12568
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119908
52.5%
Hangul 108668
47.5%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34779
29.0%
1 12958
 
10.8%
, 11033
 
9.2%
0 8849
 
7.4%
2 7958
 
6.6%
) 7506
 
6.3%
( 7505
 
6.3%
3 6083
 
5.1%
4 4697
 
3.9%
5 3958
 
3.3%
Other values (54) 14582
12.2%
Hangul
ValueCountFrequency (%)
동 10974
 
10.1%
로 7598
 
7.0%
호 6541
 
6.0%
길 3287
 
3.0%
층 3111
 
2.9%
번 2918
 
2.7%
부 2315
 
2.1%
트 2024
 
1.9%
아 1936
 
1.8%
라 1827
 
1.7%
Other values (514) 66137
60.9%
None
ValueCountFrequency (%)
· 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅲ 1
50.0%

Correlations

2024-04-21T03:49:13.677869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업태
업종1.0001.000
업태1.0001.000
2024-04-21T03:49:13.895072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태업종
업태1.0000.999
업종0.9991.000
2024-04-21T03:49:14.122199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업태
업종1.0000.999
업태0.9991.000

Missing values

2024-04-21T03:48:54.945166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:48:55.359037image/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.
2024-04-21T03:48:55.623301image/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

업소명업종업태업자명지번주소지번주소(자치단체제외)도로명주소도로명주소(자치단체제외)
0타하라센터건강기능식품유통전문판매업건강기능식품유통전문판매업이영희인천광역시 서구 청라동 157번지 5호 청라골든프라자 304호일부청라동 157번지 5호 청라골든프라자 304호일부인천광역시 서구 청라커낼로 280, 청라골든프라자 304호일부 (청라동)청라커낼로 280, 청라골든프라자 304호일부 (청라동)
1뉴트리코리아 주식회사건강기능식품유통전문판매업건강기능식품유통전문판매업최석철인천광역시 서구 심곡동 259번지 9호 2층심곡동 259번지 9호 2층인천광역시 서구 서곶로255번길 14-7, (심곡동)서곶로255번길 14-7, (심곡동)
2(주)슈퍼내츄럴스건강기능식품유통전문판매업건강기능식품유통전문판매업우경진인천광역시 서구 석남동 223번지 834호 2층석남동 223번지 834호 2층인천광역시 서구 건지로121번길 43-3, 2층 (석남동)건지로121번길 43-3, 2층 (석남동)
3(주)연제건강기능식품유통전문판매업건강기능식품유통전문판매업장인호인천광역시 서구 가좌동 539번지 15호 IBC센터-201가좌동 539번지 15호 IBC센터-201인천광역시 서구 가좌로29번길 22, IBC센터 201호 (가좌동)가좌로29번길 22, IBC센터 201호 (가좌동)
4주식회사베이건강기능식품유통전문판매업건강기능식품유통전문판매업김덕배인천광역시 서구 가정동 611번지 24호가정동 611번지 24호인천광역시 서구 염곡로498번안길 30, 501일부호 (가정동)염곡로498번안길 30, 501일부호 (가정동)
5(주)시에프엠커머스건강기능식품유통전문판매업건강기능식품유통전문판매업김경수인천광역시 서구 오류동 434번지 219호 나오류동 434번지 219호 나인천광역시 서구 두루물로96번길 7, 나동 2층 (오류동)두루물로96번길 7, 나동 2층 (오류동)
6주식회사 엔돌핀팩토리건강기능식품유통전문판매업건강기능식품유통전문판매업김진욱인천광역시 서구 오류동 1582번지 1호 7 1층일부오류동 1582번지 1호 7 1층일부인천광역시 서구 정서진8로 5, 7동 1층 일부호 (오류동)정서진8로 5, 7동 1층 일부호 (오류동)
7(주)미라지식품건강기능식품유통전문판매업건강기능식품유통전문판매업김준택인천광역시 서구 금곡동 0번지 3층 일부금곡동 0번지 3층 일부인천광역시 서구 소담로 62, 3층 일부호 (금곡동)소담로 62, 3층 일부호 (금곡동)
8(주)365위더스건강기능식품유통전문판매업건강기능식품유통전문판매업김수연인천광역시 서구 청라동 167번지 12호 청라지구 삼성빌딩청라동 167번지 12호 청라지구 삼성빌딩인천광역시 서구 청라에메랄드로102번길 8-26, 청라지구 삼성빌딩 8층 (청라동)청라에메랄드로102번길 8-26, 청라지구 삼성빌딩 8층 (청라동)
9(주)한스랩홀딩스건강기능식품유통전문판매업건강기능식품유통전문판매업한혁규인천광역시 서구 청라동 157번지 17호 청라퍼스트타워-610청라동 157번지 17호 청라퍼스트타워-610인천광역시 서구 청라커낼로260번길 7-11, 청라퍼스트타워 610호 (청라동)청라커낼로260번길 7-11, 청라퍼스트타워 610호 (청라동)
업소명업종업태업자명지번주소지번주소(자치단체제외)도로명주소도로명주소(자치단체제외)
7457240호 창고건강기능식품일반판매업전자상거래(통신판매업)이현우인천광역시 서구 마전동 904번지 6호마전동 904번지 6호인천광역시 서구 완정로 190, 4층 일부호 (마전동)완정로 190, 4층 일부호 (마전동)
7458해피타운건강기능식품일반판매업전자상거래(통신판매업)XU ZHONGGUO인천광역시 서구 당하동 1031번지 822 풍림아이원아파트-1602당하동 1031번지 822 풍림아이원아파트-1602인천광역시 서구 원당대로840번길 21, 822동 1602호 (당하동, 풍림아이원아파트)원당대로840번길 21, 822동 1602호 (당하동, 풍림아이원아파트)
7459블랙웰빙팜건강기능식품일반판매업전자상거래(통신판매업)박헌석인천광역시 서구 석남동 486번지 1호 101 신동아아파트-603석남동 486번지 1호 101 신동아아파트-603인천광역시 서구 서달로123번길 12-4, 101동 603호 (석남동, 신동아아파트)서달로123번길 12-4, 101동 603호 (석남동, 신동아아파트)
7460트렌디 스토리건강기능식품일반판매업전자상거래(통신판매업)오영진인천광역시 서구 가정동 0번지 107 루원시티 SK Leaders' VIEW-4101가정동 0번지 107 루원시티 SK Leaders' VIEW-4101인천광역시 서구 가정로 437, 107동 4104호 (가정동, 루원시티 SK Leaders' VIEW)가정로 437, 107동 4104호 (가정동, 루원시티 SK Leaders' VIEW)
7461구구드림건강기능식품일반판매업전자상거래(통신판매업)김은주인천광역시 서구 당하동 1276번지 2호 502 파라곤 센트럴파크-1801당하동 1276번지 2호 502 파라곤 센트럴파크-1801인천광역시 서구 이음2로 29, 502동 1801호 (당하동, 파라곤 센트럴파크)이음2로 29, 502동 1801호 (당하동, 파라곤 센트럴파크)
7462인셀덤 지오건강기능식품일반판매업전자상거래(통신판매업)이하나인천광역시 서구 백석동 0번지 204 검암역로열파크씨티푸르지오2단지-1901백석동 0번지 204 검암역로열파크씨티푸르지오2단지-1901인천광역시 서구 한들로 73, 204동 1901호 (백석동, 검암역로열파크씨티푸르지오2단지)한들로 73, 204동 1901호 (백석동, 검암역로열파크씨티푸르지오2단지)
7463100억판매건강기능식품일반판매업전자상거래(통신판매업)한영기인천광역시 서구 석남동 111번지 13호 나 동진아파트-406석남동 111번지 13호 나 동진아파트-406인천광역시 서구 서달로130번길 25-1, 동진아파트 나동 406호 (석남동)서달로130번길 25-1, 동진아파트 나동 406호 (석남동)
7464청담HNB건강기능식품일반판매업전자상거래(통신판매업)곽배성인천광역시 서구 가정동 569번지 301 한국아파트-509가정동 569번지 301 한국아파트-509인천광역시 서구 서달로163번길 6, 301동 509호 (가정동, 한국아파트)서달로163번길 6, 301동 509호 (가정동, 한국아파트)
7465소리 인셀덤건강기능식품일반판매업전자상거래(통신판매업)박태하인천광역시 서구 청라동 165번지 10호 142 서해그랑블-1404청라동 165번지 10호 142 서해그랑블-1404인천광역시 서구 청라에메랄드로 65, 142동 1404호 (청라동, 서해그랑블)청라에메랄드로 65, 142동 1404호 (청라동, 서해그랑블)
7466이쏠상점건강기능식품일반판매업전자상거래(통신판매업)권진이인천광역시 서구 마전동 904번지 6호마전동 904번지 6호인천광역시 서구 완정로 190, 4층 일부호 (마전동)완정로 190, 4층 일부호 (마전동)

Duplicate rows

Most frequently occurring

업소명업종업태업자명지번주소지번주소(자치단체제외)도로명주소도로명주소(자치단체제외)# duplicates
0퀵쉐프건강기능식품일반판매업전자상거래(통신판매업)조정식인천광역시 연수구 동춘동 932번지 6 한양2차아파트-502동춘동 932번지 6 한양2차아파트-502인천광역시 연수구 원인재로 59, 6동 502호 (동춘동, 한양2차아파트)원인재로 59, 6동 502호 (동춘동, 한양2차아파트)2
1핫땡김치건강기능식품일반판매업전자상거래(통신판매업)박경아인천광역시 서구 마전동 1131번지 1호 105 양우내안애 퍼스트힐-906마전동 1131번지 1호 105 양우내안애 퍼스트힐-906인천광역시 서구 검단로609번길 23, 105동 906호 (마전동, 양우내안애 퍼스트힐)검단로609번길 23, 105동 906호 (마전동, 양우내안애 퍼스트힐)2