Overview

Dataset statistics

Number of variables7
Number of observations36
Missing cells6
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory59.7 B

Variable types

Text6
Categorical1

Dataset

Description울산광역시 울주군의 중소기업서비스센터 제품홍보에 대한 데이터로 회사명, 대표자, 제품명, 홈페이지, 연락처, 팩스번호, 기준일자 등의 정보를 제공합니다.
Author울산광역시 울주군
URLhttps://www.data.go.kr/data/15075658/fileData.do

Alerts

기준일자 has constant value ""Constant
홈페이지 has 6 (16.7%) missing valuesMissing
회사명 has unique valuesUnique
대표자 has unique valuesUnique
연락처 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:57:35.054153
Analysis finished2023-12-12 14:57:35.616410
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:57:35.760339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length6.6388889
Min length4

Characters and Unicode

Total characters239
Distinct characters99
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row하나산업(주)
2nd row주)제이비오
3rd row오토티업
4th row씨제이전기㈜
5th row(주)진아산업
ValueCountFrequency (%)
하나산업(주 1
 
2.6%
주)삼전 1
 
2.6%
㈜칼라런트 1
 
2.6%
코리아 1
 
2.6%
주)남명 1
 
2.6%
㈜삼부atc 1
 
2.6%
주)에이딕 1
 
2.6%
대흥산업(주 1
 
2.6%
청보하이텍 1
 
2.6%
주)중산기업 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T23:57:36.183190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
10.0%
) 23
 
9.6%
( 22
 
9.2%
9
 
3.8%
8
 
3.3%
6
 
2.5%
6
 
2.5%
4
 
1.7%
4
 
1.7%
4
 
1.7%
Other values (89) 129
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
76.2%
Close Punctuation 23
 
9.6%
Open Punctuation 22
 
9.2%
Other Symbol 6
 
2.5%
Uppercase Letter 3
 
1.3%
Space Separator 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
13.2%
9
 
4.9%
8
 
4.4%
6
 
3.3%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (81) 114
62.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
A 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
78.7%
Common 48
 
20.1%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
12.8%
9
 
4.8%
8
 
4.3%
6
 
3.2%
6
 
3.2%
4
 
2.1%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
Other values (82) 117
62.2%
Common
ValueCountFrequency (%)
) 23
47.9%
( 22
45.8%
2
 
4.2%
2 1
 
2.1%
Latin
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
76.2%
ASCII 51
 
21.3%
None 6
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
13.2%
9
 
4.9%
8
 
4.4%
6
 
3.3%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (81) 114
62.6%
ASCII
ValueCountFrequency (%)
) 23
45.1%
( 22
43.1%
2
 
3.9%
C 1
 
2.0%
T 1
 
2.0%
A 1
 
2.0%
2 1
 
2.0%
None
ValueCountFrequency (%)
6
100.0%

대표자
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:57:36.402737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9722222
Min length2

Characters and Unicode

Total characters107
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row한석운
2nd row김재봉
3rd row이문자
4th row김해숙
5th row안상관
ValueCountFrequency (%)
한석운 1
 
2.8%
김재봉 1
 
2.8%
서해열 1
 
2.8%
윤남식 1
 
2.8%
마진규 1
 
2.8%
천종현 1
 
2.8%
김태화 1
 
2.8%
손유목 1
 
2.8%
김태진 1
 
2.8%
정광수 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T23:57:36.748241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
7.5%
6
 
5.6%
5
 
4.7%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (51) 69
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
7.5%
6
 
5.6%
5
 
4.7%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (51) 69
64.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
7.5%
6
 
5.6%
5
 
4.7%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (51) 69
64.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
7.5%
6
 
5.6%
5
 
4.7%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
2
 
1.9%
2
 
1.9%
2
 
1.9%
Other values (51) 69
64.5%
Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:57:37.058645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length30.5
Mean length18.444444
Min length3

Characters and Unicode

Total characters664
Distinct characters198
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row사료(양어용 흡착사료)
2nd row전복캔/통조림
3rd row무동력 자동 골프볼공급기
4th row몰드 변압기/오일 변압기용 방열기
5th row산업안번 보호구
ValueCountFrequency (%)
자동차 5
 
4.8%
부품 4
 
3.8%
4
 
3.8%
산업용 2
 
1.9%
welding 2
 
1.9%
전문 2
 
1.9%
709.1(lonworks 1
 
1.0%
sheet골 1
 
1.0%
골판지 1
 
1.0%
안료(pigments 1
 
1.0%
Other values (81) 81
77.9%
2023-12-12T23:57:37.519978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
10.2%
/ 30
 
4.5%
e 20
 
3.0%
i 17
 
2.6%
s 14
 
2.1%
t 14
 
2.1%
a 13
 
2.0%
12
 
1.8%
n 11
 
1.7%
11
 
1.7%
Other values (188) 454
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
49.7%
Lowercase Letter 150
22.6%
Space Separator 68
 
10.2%
Uppercase Letter 61
 
9.2%
Other Punctuation 32
 
4.8%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Decimal Number 5
 
0.8%
Control 3
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
11
 
3.3%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (136) 242
73.3%
Lowercase Letter
ValueCountFrequency (%)
e 20
13.3%
i 17
11.3%
s 14
9.3%
t 14
9.3%
a 13
8.7%
n 11
 
7.3%
r 8
 
5.3%
g 8
 
5.3%
l 8
 
5.3%
o 7
 
4.7%
Other values (11) 30
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 7
11.5%
P 6
 
9.8%
A 6
 
9.8%
T 5
 
8.2%
E 5
 
8.2%
G 4
 
6.6%
V 4
 
6.6%
I 3
 
4.9%
S 3
 
4.9%
D 3
 
4.9%
Other values (8) 15
24.6%
Decimal Number
ValueCountFrequency (%)
7 1
20.0%
0 1
20.0%
9 1
20.0%
1 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 30
93.8%
. 1
 
3.1%
& 1
 
3.1%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
49.7%
Latin 211
31.8%
Common 123
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
11
 
3.3%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (136) 242
73.3%
Latin
ValueCountFrequency (%)
e 20
 
9.5%
i 17
 
8.1%
s 14
 
6.6%
t 14
 
6.6%
a 13
 
6.2%
n 11
 
5.2%
r 8
 
3.8%
g 8
 
3.8%
l 8
 
3.8%
o 7
 
3.3%
Other values (29) 91
43.1%
Common
ValueCountFrequency (%)
68
55.3%
/ 30
24.4%
) 7
 
5.7%
( 7
 
5.7%
3
 
2.4%
7 1
 
0.8%
0 1
 
0.8%
9 1
 
0.8%
. 1
 
0.8%
1 1
 
0.8%
Other values (3) 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 334
50.3%
Hangul 330
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
20.4%
/ 30
 
9.0%
e 20
 
6.0%
i 17
 
5.1%
s 14
 
4.2%
t 14
 
4.2%
a 13
 
3.9%
n 11
 
3.3%
r 8
 
2.4%
g 8
 
2.4%
Other values (42) 131
39.2%
Hangul
ValueCountFrequency (%)
12
 
3.6%
11
 
3.3%
11
 
3.3%
9
 
2.7%
9
 
2.7%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (136) 242
73.3%

홈페이지
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing6
Missing (%)16.7%
Memory size420.0 B
2023-12-12T23:57:37.795522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length16.866667
Min length9

Characters and Unicode

Total characters506
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowwww.hanafeed.com
2nd rowsingsingbada.com
3rd rowwww.cjelect.com
4th rowwww.jinasia.com
5th rowwww.fancysoap.co.kr
ValueCountFrequency (%)
www.ihantec.com 1
 
3.3%
www.cjelect.com 1
 
3.3%
dongnammc.com 1
 
3.3%
keumjung.com 1
 
3.3%
www.unilam.co.kr 1
 
3.3%
www.jskd.co.kr 1
 
3.3%
www.haegang8005.co.kr 1
 
3.3%
sun94.com 1
 
3.3%
www.unionland.co.kr 1
 
3.3%
www.jungsan.com 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T23:57:38.205262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 78
15.4%
. 69
13.6%
o 43
 
8.5%
c 42
 
8.3%
n 33
 
6.5%
m 26
 
5.1%
a 26
 
5.1%
e 23
 
4.5%
r 21
 
4.2%
i 18
 
3.6%
Other values (20) 127
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 428
84.6%
Other Punctuation 69
 
13.6%
Decimal Number 7
 
1.4%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 78
18.2%
o 43
10.0%
c 42
9.8%
n 33
 
7.7%
m 26
 
6.1%
a 26
 
6.1%
e 23
 
5.4%
r 21
 
4.9%
i 18
 
4.2%
k 17
 
4.0%
Other values (12) 101
23.6%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
2 1
14.3%
9 1
14.3%
4 1
14.3%
8 1
14.3%
5 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 428
84.6%
Common 78
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 78
18.2%
o 43
10.0%
c 42
9.8%
n 33
 
7.7%
m 26
 
6.1%
a 26
 
6.1%
e 23
 
5.4%
r 21
 
4.9%
i 18
 
4.2%
k 17
 
4.0%
Other values (12) 101
23.6%
Common
ValueCountFrequency (%)
. 69
88.5%
- 2
 
2.6%
0 2
 
2.6%
2 1
 
1.3%
9 1
 
1.3%
4 1
 
1.3%
8 1
 
1.3%
5 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 78
15.4%
. 69
13.6%
o 43
 
8.5%
c 42
 
8.3%
n 33
 
6.5%
m 26
 
5.1%
a 26
 
5.1%
e 23
 
4.5%
r 21
 
4.2%
i 18
 
3.6%
Other values (20) 127
25.1%

연락처
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:57:38.497937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027778
Min length12

Characters and Unicode

Total characters433
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row051-523-6677
2nd row052-267-8675
3rd row052-239-1614
4th row052-256-7161
5th row052-221-9871
ValueCountFrequency (%)
051-523-6677 1
 
2.8%
052-267-8675 1
 
2.8%
052-262-6650 1
 
2.8%
052-256-0417 1
 
2.8%
052-264-6468 1
 
2.8%
052-254-3470 1
 
2.8%
052-254-8074 1
 
2.8%
052-264-9346 1
 
2.8%
052-254-0082 1
 
2.8%
052-254-3290 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T23:57:39.158998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 84
19.4%
- 72
16.6%
5 65
15.0%
0 62
14.3%
6 37
8.5%
4 34
7.9%
7 21
 
4.8%
3 17
 
3.9%
8 15
 
3.5%
1 14
 
3.2%
Other values (2) 12
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.1%
Dash Punctuation 72
 
16.6%
Control 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 84
23.3%
5 65
18.1%
0 62
17.2%
6 37
10.3%
4 34
9.4%
7 21
 
5.8%
3 17
 
4.7%
8 15
 
4.2%
1 14
 
3.9%
9 11
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 84
19.4%
- 72
16.6%
5 65
15.0%
0 62
14.3%
6 37
8.5%
4 34
7.9%
7 21
 
4.8%
3 17
 
3.9%
8 15
 
3.5%
1 14
 
3.2%
Other values (2) 12
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 84
19.4%
- 72
16.6%
5 65
15.0%
0 62
14.3%
6 37
8.5%
4 34
7.9%
7 21
 
4.8%
3 17
 
3.9%
8 15
 
3.5%
1 14
 
3.2%
Other values (2) 12
 
2.8%

팩스번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T23:57:39.405091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027778
Min length12

Characters and Unicode

Total characters433
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row051-524-9537
2nd row052-254-8676
3rd row052-239-1718
4th row052-257-6008
5th row052-221-9873
ValueCountFrequency (%)
051-524-9537 1
 
2.8%
052-254-8676 1
 
2.8%
052-262-6654 1
 
2.8%
052-256-0420 1
 
2.8%
052-264-6470 1
 
2.8%
052-254-3456 1
 
2.8%
052-254-8077 1
 
2.8%
052-264-9347 1
 
2.8%
052-264-1860 1
 
2.8%
052-254-3295 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T23:57:39.798676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 90
20.8%
- 72
16.6%
5 68
15.7%
0 58
13.4%
6 36
 
8.3%
4 28
 
6.5%
7 25
 
5.8%
3 16
 
3.7%
8 15
 
3.5%
9 13
 
3.0%
Other values (2) 12
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.1%
Dash Punctuation 72
 
16.6%
Control 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 90
25.0%
5 68
18.9%
0 58
16.1%
6 36
 
10.0%
4 28
 
7.8%
7 25
 
6.9%
3 16
 
4.4%
8 15
 
4.2%
9 13
 
3.6%
1 11
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 90
20.8%
- 72
16.6%
5 68
15.7%
0 58
13.4%
6 36
 
8.3%
4 28
 
6.5%
7 25
 
5.8%
3 16
 
3.7%
8 15
 
3.5%
9 13
 
3.0%
Other values (2) 12
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 90
20.8%
- 72
16.6%
5 68
15.7%
0 58
13.4%
6 36
 
8.3%
4 28
 
6.5%
7 25
 
5.8%
3 16
 
3.7%
8 15
 
3.5%
9 13
 
3.0%
Other values (2) 12
 
2.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-11-08
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-08
2nd row2023-11-08
3rd row2023-11-08
4th row2023-11-08
5th row2023-11-08

Common Values

ValueCountFrequency (%)
2023-11-08 36
100.0%

Length

2023-12-12T23:57:39.943116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:40.039608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-08 36
100.0%

Correlations

2023-12-12T23:57:40.106110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명대표자제품명홈페이지연락처팩스번호
회사명1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.000
제품명1.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T23:57:35.470260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:57:35.578373image/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

회사명대표자제품명홈페이지연락처팩스번호기준일자
0하나산업(주)한석운사료(양어용 흡착사료)www.hanafeed.com051-523-6677051-524-95372023-11-08
1주)제이비오김재봉전복캔/통조림singsingbada.com052-267-8675052-254-86762023-11-08
2오토티업이문자무동력 자동 골프볼공급기<NA>052-239-1614052-239-17182023-11-08
3씨제이전기㈜김해숙몰드 변압기/오일 변압기용 방열기www.cjelect.com052-256-7161052-257-60082023-11-08
4(주)진아산업안상관산업안번 보호구www.jinasia.com052-221-9871052-221-98732023-11-08
5세명펜시강훈비누제품www.fancysoap.co.kr052-225-8848052-225-27572023-11-08
6한국철강상사김영훈철근가공전문<NA>052-225-5414052-225-54182023-11-08
7나이스휀스개발(주)이영이휀스/가드레일/낙석방지책www.nicefence.co.kr052-277-4455052-277-96332023-11-08
8천지케미칼최철숙잉크 희석제/각종 윤활유<NA>052-225-9994052-225-99202023-11-08
9엔바로테크(주)구자운Electron Beam Welding Machine(전자빔 용접기)www.n-barotech.co.kr052-260-7660052-260-76652023-11-08
회사명대표자제품명홈페이지연락처팩스번호기준일자
26㈜칼라런트 코리아서해열안료(Pigments)<NA>052-262-6650052-262-66542023-11-08
27(주)중산기업정광수조선엔진/원자력/해양플렌트/풍력발전 조립용 부품www.jungsan.com052-254-3290052-254-32952023-11-08
28㈜유니온랜드황선주어린이 놀이시설www.unionland.co.kr052-277-4200052-265-72272023-11-08
29세진산업오갑선폴리에틸렌 하수관<NA>052-264-3743052-264-37422023-11-08
30(주)선실업이지영안전화sun94.com052-254-0300052-254-03472023-11-08
31(주)해강시스템창호박근배창호 전문 업체www.haegang8005.co.kr052-263-8005052-262-80092023-11-08
32㈜세광정밀주영찬Die Casting 자동차 부품 제조/판매www.jskd.co.kr055-372-6081055-372-60852023-11-08
33유니램(주)윤주영산업용 램프계열/광학 system/메탈할라이드 램프계열www.unilam.co.kr055-372-2504055-372-25132023-11-08
34(주)금정장효동에폭시 경화제/반응성 희석재/흐름 방지제keumjung.com052-264-8586052-264-85892023-11-08
35한미실업㈜김봉희고강도 하수관/플렉시블 옥내배수관www.hanmipipe.com052-262-6336052-262-64042023-11-08