Overview

Dataset statistics

Number of variables9
Number of observations59
Missing cells9
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory74.2 B

Variable types

Text5
DateTime3
Categorical1

Dataset

Description인천광역시 서구의 청년기업 인증현황에 관한 데이터입니다. 인증번호, 시작일, 만료일, 기업명, 기업주소, 생산품, 기업 전화번호, 업종(표준산업분류), 데이터기준일자 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105436&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
기업 전화번호 has 9 (15.3%) missing valuesMissing
인증번호 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 14:02:24.036426
Analysis finished2024-04-20 14:02:26.218038
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-20T23:02:27.042923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters472
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

Unique59 ?
Unique (%)100.0%

Sample

1st row2021-001
2nd row2021-002
3rd row2021-003
4th row2021-004
5th row2021-005
ValueCountFrequency (%)
2021-001 1
 
1.7%
2022-006 1
 
1.7%
2022-008 1
 
1.7%
2022-009 1
 
1.7%
2022-010 1
 
1.7%
2022-011 1
 
1.7%
2022-012 1
 
1.7%
2022-013 1
 
1.7%
2022-014 1
 
1.7%
2022-015 1
 
1.7%
Other values (49) 49
83.1%
2024-04-20T23:02:28.110936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 158
33.5%
0 150
31.8%
- 59
 
12.5%
1 55
 
11.7%
3 18
 
3.8%
4 6
 
1.3%
5 6
 
1.3%
6 5
 
1.1%
7 5
 
1.1%
8 5
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 413
87.5%
Dash Punctuation 59
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 158
38.3%
0 150
36.3%
1 55
 
13.3%
3 18
 
4.4%
4 6
 
1.5%
5 6
 
1.5%
6 5
 
1.2%
7 5
 
1.2%
8 5
 
1.2%
9 5
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 158
33.5%
0 150
31.8%
- 59
 
12.5%
1 55
 
11.7%
3 18
 
3.8%
4 6
 
1.3%
5 6
 
1.3%
6 5
 
1.1%
7 5
 
1.1%
8 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 158
33.5%
0 150
31.8%
- 59
 
12.5%
1 55
 
11.7%
3 18
 
3.8%
4 6
 
1.3%
5 6
 
1.3%
6 5
 
1.1%
7 5
 
1.1%
8 5
 
1.1%

시작일
Date

Distinct38
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Memory size600.0 B
Minimum2021-06-01 00:00:00
Maximum2023-03-20 00:00:00
2024-04-20T23:02:28.534925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:02:28.961161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

만료일
Date

Distinct37
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size600.0 B
Minimum2024-05-31 00:00:00
Maximum2026-03-19 00:00:00
2024-04-20T23:02:29.353673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:02:29.796084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

기업명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-20T23:02:30.782244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.779661
Min length2

Characters and Unicode

Total characters400
Distinct characters149
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row(주)세현
2nd row(주)디사이플스
3rd row선일알미늄(주)
4th row(주)비스타릿
5th row(주)후영
ValueCountFrequency (%)
주식회사 15
 
18.8%
주)세현 1
 
1.2%
레이디하우스 1
 
1.2%
살며시 1
 
1.2%
유앤아이티 1
 
1.2%
대영식품2공장 1
 
1.2%
천지유리 1
 
1.2%
삼광 1
 
1.2%
에스제이브리즈 1
 
1.2%
건건 1
 
1.2%
Other values (56) 56
70.0%
2024-04-20T23:02:32.341880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 30
 
7.5%
23
 
5.8%
사 17
 
4.2%
( 16
 
4.0%
) 16
 
4.0%
식 16
 
4.0%
회 16
 
4.0%
스 15
 
3.8%
이 13
 
3.2%
아 10
 
2.5%
Other values (139) 228
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
81.8%
Space Separator 23
 
5.8%
Open Punctuation 16
 
4.0%
Close Punctuation 16
 
4.0%
Uppercase Letter 9
 
2.2%
Other Symbol 5
 
1.2%
Other Punctuation 3
 
0.8%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
9.2%
사 17
 
5.2%
식 16
 
4.9%
회 16
 
4.9%
스 15
 
4.6%
이 13
 
4.0%
아 10
 
3.1%
크 5
 
1.5%
코 4
 
1.2%
원 4
 
1.2%
Other values (125) 197
60.2%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
C 1
11.1%
H 1
11.1%
E 1
11.1%
K 1
11.1%
M 1
11.1%
S 1
11.1%
N 1
11.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
83.0%
Common 59
 
14.8%
Latin 9
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
9.0%
사 17
 
5.1%
식 16
 
4.8%
회 16
 
4.8%
스 15
 
4.5%
이 13
 
3.9%
아 10
 
3.0%
㈜ 5
 
1.5%
크 5
 
1.5%
코 4
 
1.2%
Other values (126) 201
60.5%
Latin
ValueCountFrequency (%)
T 2
22.2%
C 1
11.1%
H 1
11.1%
E 1
11.1%
K 1
11.1%
M 1
11.1%
S 1
11.1%
N 1
11.1%
Common
ValueCountFrequency (%)
23
39.0%
( 16
27.1%
) 16
27.1%
. 3
 
5.1%
2 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
81.8%
ASCII 68
 
17.0%
None 5
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 30
 
9.2%
사 17
 
5.2%
식 16
 
4.9%
회 16
 
4.9%
스 15
 
4.6%
이 13
 
4.0%
아 10
 
3.1%
크 5
 
1.5%
코 4
 
1.2%
원 4
 
1.2%
Other values (125) 197
60.2%
ASCII
ValueCountFrequency (%)
23
33.8%
( 16
23.5%
) 16
23.5%
. 3
 
4.4%
T 2
 
2.9%
C 1
 
1.5%
H 1
 
1.5%
E 1
 
1.5%
K 1
 
1.5%
M 1
 
1.5%
Other values (3) 3
 
4.4%
None
ValueCountFrequency (%)
㈜ 5
100.0%

기업주소
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-20T23:02:33.251344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length36.661017
Min length21

Characters and Unicode

Total characters2163
Distinct characters141
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

Unique57 ?
Unique (%)96.6%

Sample

1st row인천광역시 서구 청라커낼로260번길 7-11, 605호(청라동 157-17, 청라퍼스트타워)
2nd row인천광역시 서구 보듬로 158, 공존 430호(오류동 1656-1, 블루텍)
3rd row인천광역시 서구 사렴로 66 (경서동 680-1)
4th row인천광역시 서구 검암로9번길 4-6, 2호 (검암동 521-7)
5th row인천광역시 서구 장고개로238번길 28 (가좌동 289-61)
ValueCountFrequency (%)
서구 59
 
15.4%
인천광역시 56
 
14.6%
오류동 5
 
1.3%
495 4
 
1.0%
가좌동 4
 
1.0%
파랑로 4
 
1.0%
2층 4
 
1.0%
석남동 4
 
1.0%
410 3
 
0.8%
블루텍 3
 
0.8%
Other values (197) 237
61.9%
2024-04-20T23:02:34.682168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
 
15.1%
1 110
 
5.1%
동 70
 
3.2%
서 69
 
3.2%
) 66
 
3.1%
2 64
 
3.0%
구 63
 
2.9%
인 62
 
2.9%
시 62
 
2.9%
로 61
 
2.8%
Other values (131) 1209
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1135
52.5%
Decimal Number 460
21.3%
Space Separator 327
 
15.1%
Close Punctuation 66
 
3.1%
Other Punctuation 62
 
2.9%
Open Punctuation 60
 
2.8%
Dash Punctuation 33
 
1.5%
Uppercase Letter 19
 
0.9%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
6.2%
서 69
 
6.1%
구 63
 
5.6%
인 62
 
5.5%
시 62
 
5.5%
로 61
 
5.4%
천 60
 
5.3%
광 60
 
5.3%
역 59
 
5.2%
호 35
 
3.1%
Other values (106) 534
47.0%
Decimal Number
ValueCountFrequency (%)
1 110
23.9%
2 64
13.9%
0 55
12.0%
6 46
10.0%
4 37
 
8.0%
5 35
 
7.6%
8 35
 
7.6%
3 33
 
7.2%
9 25
 
5.4%
7 20
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
36.8%
D 3
15.8%
H 2
 
10.5%
J 2
 
10.5%
C 2
 
10.5%
M 1
 
5.3%
I 1
 
5.3%
G 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 61
98.4%
& 1
 
1.6%
Space Separator
ValueCountFrequency (%)
327
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1136
52.5%
Common 1008
46.6%
Latin 19
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
6.2%
서 69
 
6.1%
구 63
 
5.5%
인 62
 
5.5%
시 62
 
5.5%
로 61
 
5.4%
천 60
 
5.3%
광 60
 
5.3%
역 59
 
5.2%
호 35
 
3.1%
Other values (107) 535
47.1%
Common
ValueCountFrequency (%)
327
32.4%
1 110
 
10.9%
) 66
 
6.5%
2 64
 
6.3%
, 61
 
6.1%
( 60
 
6.0%
0 55
 
5.5%
6 46
 
4.6%
4 37
 
3.7%
5 35
 
3.5%
Other values (6) 147
14.6%
Latin
ValueCountFrequency (%)
B 7
36.8%
D 3
15.8%
H 2
 
10.5%
J 2
 
10.5%
C 2
 
10.5%
M 1
 
5.3%
I 1
 
5.3%
G 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1135
52.5%
ASCII 1027
47.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
31.8%
1 110
 
10.7%
) 66
 
6.4%
2 64
 
6.2%
, 61
 
5.9%
( 60
 
5.8%
0 55
 
5.4%
6 46
 
4.5%
4 37
 
3.6%
5 35
 
3.4%
Other values (14) 166
16.2%
Hangul
ValueCountFrequency (%)
동 70
 
6.2%
서 69
 
6.1%
구 63
 
5.6%
인 62
 
5.5%
시 62
 
5.5%
로 61
 
5.4%
천 60
 
5.3%
광 60
 
5.3%
역 59
 
5.2%
호 35
 
3.1%
Other values (106) 534
47.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

생산품
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size600.0 B
2024-04-20T23:02:35.719035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length19
Mean length11.152542
Min length3

Characters and Unicode

Total characters658
Distinct characters220
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row여성용 의류
2nd row반려동물 친환경 사료 및 간식
3rd row알루미늄 압출제품
4th row화장품(기초화장품, 색조화장품, 클렌징제품)
5th row스핀코터, 건조로, UV장비등
ValueCountFrequency (%)
및 7
 
4.8%
등 7
 
4.8%
화장품 5
 
3.4%
친환경 3
 
2.1%
애견용품 2
 
1.4%
부품 2
 
1.4%
반려동물 2
 
1.4%
마스크 2
 
1.4%
의류 2
 
1.4%
외 2
 
1.4%
Other values (112) 112
76.7%
2024-04-20T23:02:37.184942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
13.2%
, 36
 
5.5%
품 25
 
3.8%
기 21
 
3.2%
장 19
 
2.9%
제 14
 
2.1%
용 12
 
1.8%
화 11
 
1.7%
스 10
 
1.5%
인 9
 
1.4%
Other values (210) 414
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
75.2%
Space Separator 87
 
13.2%
Other Punctuation 38
 
5.8%
Uppercase Letter 16
 
2.4%
Lowercase Letter 8
 
1.2%
Close Punctuation 6
 
0.9%
Open Punctuation 6
 
0.9%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 25
 
5.1%
기 21
 
4.2%
장 19
 
3.8%
제 14
 
2.8%
용 12
 
2.4%
화 11
 
2.2%
스 10
 
2.0%
인 9
 
1.8%
가 8
 
1.6%
등 8
 
1.6%
Other values (184) 358
72.3%
Uppercase Letter
ValueCountFrequency (%)
D 3
18.8%
C 2
12.5%
O 2
12.5%
W 1
 
6.2%
S 1
 
6.2%
U 1
 
6.2%
V 1
 
6.2%
R 1
 
6.2%
T 1
 
6.2%
M 1
 
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
y 1
12.5%
t 1
12.5%
r 1
12.5%
a 1
12.5%
m 1
12.5%
s 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 36
94.7%
/ 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
75.2%
Common 139
 
21.1%
Latin 24
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 25
 
5.1%
기 21
 
4.2%
장 19
 
3.8%
제 14
 
2.8%
용 12
 
2.4%
화 11
 
2.2%
스 10
 
2.0%
인 9
 
1.8%
가 8
 
1.6%
등 8
 
1.6%
Other values (184) 358
72.3%
Latin
ValueCountFrequency (%)
D 3
 
12.5%
e 2
 
8.3%
C 2
 
8.3%
O 2
 
8.3%
y 1
 
4.2%
t 1
 
4.2%
r 1
 
4.2%
a 1
 
4.2%
m 1
 
4.2%
s 1
 
4.2%
Other values (9) 9
37.5%
Common
ValueCountFrequency (%)
87
62.6%
, 36
25.9%
) 6
 
4.3%
( 6
 
4.3%
/ 2
 
1.4%
1 1
 
0.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
75.2%
ASCII 163
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
53.4%
, 36
22.1%
) 6
 
3.7%
( 6
 
3.7%
D 3
 
1.8%
e 2
 
1.2%
/ 2
 
1.2%
C 2
 
1.2%
O 2
 
1.2%
1 1
 
0.6%
Other values (16) 16
 
9.8%
Hangul
ValueCountFrequency (%)
품 25
 
5.1%
기 21
 
4.2%
장 19
 
3.8%
제 14
 
2.8%
용 12
 
2.4%
화 11
 
2.2%
스 10
 
2.0%
인 9
 
1.8%
가 8
 
1.6%
등 8
 
1.6%
Other values (184) 358
72.3%

기업 전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing9
Missing (%)15.3%
Memory size600.0 B
2024-04-20T23:02:38.088831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.12
Min length12

Characters and Unicode

Total characters606
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

Unique50 ?
Unique (%)100.0%

Sample

1st row032-567-1292
2nd row032-212-2202
3rd row032-562-8540
4th row070-8841-2099
5th row032-575-9888
ValueCountFrequency (%)
070-8624-5013 1
 
2.0%
032-812-8400 1
 
2.0%
02-6951-1665 1
 
2.0%
032-761-1488 1
 
2.0%
032-573-6061 1
 
2.0%
032-573-8335 1
 
2.0%
032-578-9415 1
 
2.0%
032-262-4147 1
 
2.0%
032-582-4148 1
 
2.0%
032-220-0350 1
 
2.0%
Other values (40) 40
80.0%
2024-04-20T23:02:39.339164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.5%
2 99
16.3%
0 87
14.4%
3 67
11.1%
5 58
9.6%
7 40
 
6.6%
8 35
 
5.8%
1 32
 
5.3%
6 30
 
5.0%
4 29
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 506
83.5%
Dash Punctuation 100
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 99
19.6%
0 87
17.2%
3 67
13.2%
5 58
11.5%
7 40
7.9%
8 35
 
6.9%
1 32
 
6.3%
6 30
 
5.9%
4 29
 
5.7%
9 29
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 606
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.5%
2 99
16.3%
0 87
14.4%
3 67
11.1%
5 58
9.6%
7 40
 
6.6%
8 35
 
5.8%
1 32
 
5.3%
6 30
 
5.0%
4 29
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.5%
2 99
16.3%
0 87
14.4%
3 67
11.1%
5 58
9.6%
7 40
 
6.6%
8 35
 
5.8%
1 32
 
5.3%
6 30
 
5.0%
4 29
 
4.8%

업종(표준산업분류)
Categorical

Distinct20
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size600.0 B
화학물질 및 화학제품 제조업; 의약품 제외
9 
식료품 제조업
8 
기타 기계 및 장비 제조업
6 
섬유제품 제조업; 의복 제외
5 
1차 금속 제조업
4 
Other values (15)
27 

Length

Max length29
Median length20
Mean length15.254237
Min length5

Unique

Unique8 ?
Unique (%)13.6%

Sample

1st row의복, 의복 액세서리 및 모피제품 제조업
2nd row식료품 제조업
3rd row1차 금속 제조업
4th row화학물질 및 화학제품 제조업; 의약품 제외
5th row기타 기계 및 장비 제조업

Common Values

ValueCountFrequency (%)
화학물질 및 화학제품 제조업; 의약품 제외 9
15.3%
식료품 제조업 8
13.6%
기타 기계 및 장비 제조업 6
10.2%
섬유제품 제조업; 의복 제외 5
8.5%
1차 금속 제조업 4
 
6.8%
금속가공제품 제조업; 기계 및 가구 제외 4
 
6.8%
기타 제품 제조업 4
 
6.8%
의복, 의복 액세서리 및 모피제품 제조업 3
 
5.1%
의료용 물질 및 의약품 제조업 2
 
3.4%
기타 운송장비 제조업 2
 
3.4%
Other values (10) 12
20.3%

Length

2024-04-20T23:02:39.779105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 56
21.6%
및 33
12.7%
제외 19
 
7.3%
기타 12
 
4.6%
의약품 11
 
4.2%
기계 11
 
4.2%
의복 11
 
4.2%
화학물질 9
 
3.5%
화학제품 9
 
3.5%
식료품 8
 
3.1%
Other values (39) 80
30.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size600.0 B
Minimum2023-07-01 00:00:00
Maximum2023-07-01 00:00:00
2024-04-20T23:02:40.059743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T23:02:40.218014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-20T23:02:40.352748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증번호시작일만료일기업명기업주소생산품기업 전화번호업종(표준산업분류)
인증번호1.0001.0001.0001.0001.0001.0001.0001.000
시작일1.0001.0001.0001.0001.0000.9821.0000.869
만료일1.0001.0001.0001.0001.0000.9801.0000.878
기업명1.0001.0001.0001.0001.0001.0001.0001.000
기업주소1.0001.0001.0001.0001.0000.9971.0001.000
생산품1.0000.9820.9801.0000.9971.0001.0001.000
기업 전화번호1.0001.0001.0001.0001.0001.0001.0001.000
업종(표준산업분류)1.0000.8690.8781.0001.0001.0001.0001.000

Missing values

2024-04-20T23:02:25.813783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T23:02:26.123689image/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

인증번호시작일만료일기업명기업주소생산품기업 전화번호업종(표준산업분류)데이터기준일자
02021-0012021-06-012024-05-31(주)세현인천광역시 서구 청라커낼로260번길 7-11, 605호(청라동 157-17, 청라퍼스트타워)여성용 의류032-567-1292의복, 의복 액세서리 및 모피제품 제조업2023-07-01
12021-0022021-06-012024-05-31(주)디사이플스인천광역시 서구 보듬로 158, 공존 430호(오류동 1656-1, 블루텍)반려동물 친환경 사료 및 간식032-212-2202식료품 제조업2023-07-01
22021-0032021-06-012024-05-31선일알미늄(주)인천광역시 서구 사렴로 66 (경서동 680-1)알루미늄 압출제품032-562-85401차 금속 제조업2023-07-01
32021-0042021-06-012024-05-31(주)비스타릿인천광역시 서구 검암로9번길 4-6, 2호 (검암동 521-7)화장품(기초화장품, 색조화장품, 클렌징제품)070-8841-2099화학물질 및 화학제품 제조업; 의약품 제외2023-07-01
42021-0052021-06-012024-05-31(주)후영인천광역시 서구 장고개로238번길 28 (가좌동 289-61)스핀코터, 건조로, UV장비등032-575-9888기타 기계 및 장비 제조업2023-07-01
52021-0062021-06-042024-06-03(주)벨슨인천광역시 서구 염곡로14번길 30(가좌동 585-68)손세정제, 기초화장품070-5222-2741화학물질 및 화학제품 제조업; 의약품 제외2023-07-01
62021-0072021-06-042024-06-03모션엠텍㈜인천광역시 서구 보듬로 158, B층 218호, 219호 (오류동 1656-1, 블루텍)전동기 및 기어박스032-272-9090기타 기계 및 장비 제조업2023-07-01
72021-0082021-06-042024-06-03대상 S.N.T인천광역시 서구 석남로 18, 1층 (석남동 223-647)장애인핸드레일032-529-9997금속가공제품 제조업; 기계 및 가구 제외2023-07-01
82021-0092021-06-042024-06-03(주)대상에스앤티인천광역시 서구 석남로 18, 1층 (석남동 223-647)욕실악세서리(디자인샤워기)032-529-9990금속가공제품 제조업; 기계 및 가구 제외2023-07-01
92021-0102021-06-142024-06-13(주)엠엔비코리아인천광역시 서구 원창로64번길 33 (원창동 146-10)유아용품032-204-8932의복, 의복 액세서리 및 모피제품 제조업2023-07-01
인증번호시작일만료일기업명기업주소생산품기업 전화번호업종(표준산업분류)데이터기준일자
492023-0022023-01-122026-01-11주식회사 마더락인천광역시 서구 백범로 611, 615호, 616호(가좌동) 아르테크주안조리식품032-577-1757식료품 제조업2023-07-01
502023-0032023-01-192026-01-18인스텔라인천광역시 서구 백범로 619, M&J 비즈센터 409호, 410호(가좌동)소스류032-282-0624식료품 제조업2023-07-01
512023-0042023-01-192026-01-18주식회사 유진마이코스인천광역시 서구 봉수대로 1563번길 55(금곡동)컴프레셔032-562-8021산업용 기계 및 장비 수리업2023-07-01
522023-0052023-02-082026-02-07㈜미래소재인천광역시 서구 로봇랜드로249번길 108, 제1동(청라동, ㈜미래소재)합판 및 유사적층판, 건축자재032-572-1994목재 및 나무제품 제조업; 가구 제외2023-07-01
532023-0062023-02-212026-02-20주식회사 보령다이캐스팅인천광역시 서구 원전로37번길 12(경서동)전자부품032-679-60401차 금속 제조업2023-07-01
542023-0072023-02-232026-02-22언프레임 주식회사인천광역시 서구 가정로126번길 17(가좌동)인쇄출판 등032-574-7526인쇄 및 기록매체 복제업2023-07-01
552023-0082023-03-022026-03-01남해(M.K TECH)인천광역시 서구 파랑로 495, 제지하1층 제비114호(청라동, 에이스하이테크시티청라)포장기기, 탈취제 등032-220-0655기타 기계 및 장비 제조업2023-07-01
562023-0092023-03-142026-03-13에닌 주식회사인천광역서 서구 파랑로 495, 1동 302호(청라동 에이스하이테크시티)수질계측기, 지하수위계, 대기오염측정기 외032-220-0511의료, 정밀, 광학 기기 및 시계 제조업2023-07-01
572023-0102023-03-142026-03-13민아송인천광역시 서구 청라커낼로288번길 26, 102동 218호(청라동, 청라현대썬앤빌더테라스)여자용 겉옷<NA>의복, 의복 액세서리 및 모피제품 제조업2023-07-01
582023-0112023-03-202026-03-19보광테크인천광역시 서구 가좌로 98, 1층(가좌동)통신장비(도장) 외032-582-5766기타 제품 제조업2023-07-01