Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells38
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory73.3 B

Variable types

Text3
Categorical6

Alerts

위험물안전관리법대한민국인용출처 has constant value ""Constant
화학물질관리법일본 is highly overall correlated with 화학물질관리법대한민국인용출처 and 1 other fieldsHigh correlation
위험물안전관리법대한민국 is highly overall correlated with 화학물질관리법일본인용출처High correlation
화학물질관리법대한민국인용출처 is highly overall correlated with 화학물질관리법일본 and 1 other fieldsHigh correlation
화학물질관리법일본인용출처 is highly overall correlated with 화학물질관리법대한민국 and 3 other fieldsHigh correlation
화학물질관리법대한민국 is highly overall correlated with 화학물질관리법일본인용출처High correlation
화학물질관리법대한민국인용출처 is highly imbalanced (91.9%)Imbalance
위험물안전관리법대한민국 is highly imbalanced (68.0%)Imbalance
화학물질관리법일본 is highly imbalanced (69.6%)Imbalance
화학물질관리법일본인용출처 is highly imbalanced (91.9%)Imbalance
화학물질국문 has 38 (38.0%) missing valuesMissing
CAS등록번호 has unique valuesUnique
화학물질영문 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:59:28.145512
Analysis finished2023-12-10 11:59:29.004274
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CAS등록번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:59:29.333118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.64
Min length7

Characters and Unicode

Total characters864
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

Unique100 ?
Unique (%)100.0%

Sample

1st row10309-95-2
2nd row27177-05-5
3rd row18540-29-9
4th row11113-75-0
5th row1314-06-3
ValueCountFrequency (%)
10309-95-2 1
 
1.0%
17140-57-7 1
 
1.0%
70-25-7 1
 
1.0%
66-27-3 1
 
1.0%
62-75-9 1
 
1.0%
62-44-2 1
 
1.0%
56-75-7 1
 
1.0%
56-55-3 1
 
1.0%
55-98-1 1
 
1.0%
55-18-5 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:59:29.939989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
23.1%
1 107
12.4%
7 81
9.4%
3 68
 
7.9%
2 65
 
7.5%
6 61
 
7.1%
0 60
 
6.9%
9 58
 
6.7%
5 58
 
6.7%
4 58
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 664
76.9%
Dash Punctuation 200
 
23.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 107
16.1%
7 81
12.2%
3 68
10.2%
2 65
9.8%
6 61
9.2%
0 60
9.0%
9 58
8.7%
5 58
8.7%
4 58
8.7%
8 48
7.2%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
23.1%
1 107
12.4%
7 81
9.4%
3 68
 
7.9%
2 65
 
7.5%
6 61
 
7.1%
0 60
 
6.9%
9 58
 
6.7%
5 58
 
6.7%
4 58
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
23.1%
1 107
12.4%
7 81
9.4%
3 68
 
7.9%
2 65
 
7.5%
6 61
 
7.1%
0 60
 
6.9%
9 58
 
6.7%
5 58
 
6.7%
4 58
 
6.7%

화학물질관리법대한민국
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
유독물
35 
중점관리물질
35 
금지물질
19 
유독물, 중점관리물질
8 
제한물질
 
3

Length

Max length11
Median length6
Mean length4.91
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제한물질
2nd row제한물질
3rd row제한물질
4th row유독물, 중점관리물질
5th row유독물

Common Values

ValueCountFrequency (%)
유독물 35
35.0%
중점관리물질 35
35.0%
금지물질 19
19.0%
유독물, 중점관리물질 8
 
8.0%
제한물질 3
 
3.0%

Length

2023-12-10T20:59:30.139474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:30.288288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유독물 43
39.8%
중점관리물질 43
39.8%
금지물질 19
17.6%
제한물질 3
 
2.8%

화학물질관리법대한민국인용출처
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
고시, NCIS
99 
고시
 
1

Length

Max length8
Median length8
Mean length7.94
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row고시, NCIS
2nd row고시, NCIS
3rd row고시, NCIS
4th row고시, NCIS
5th row고시, NCIS

Common Values

ValueCountFrequency (%)
고시, NCIS 99
99.0%
고시 1
 
1.0%

Length

2023-12-10T20:59:30.495896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:30.669089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고시 100
50.3%
ncis 99
49.7%

위험물안전관리법대한민국
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
정보없음
84 
비위험물
 
8
제4류 인화성액체 제3석유류 비수용성액체
 
2
제5류 자기반응성물질 니트로화합물
 
1
제4류 인화성액체 제2석유류 비수용성액체
 
1
Other values (4)
 
4

Length

Max length22
Median length4
Mean length5.23
Min length4

Unique

Unique6 ?
Unique (%)6.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보없음 84
84.0%
비위험물 8
 
8.0%
제4류 인화성액체 제3석유류 비수용성액체 2
 
2.0%
제5류 자기반응성물질 니트로화합물 1
 
1.0%
제4류 인화성액체 제2석유류 비수용성액체 1
 
1.0%
제4류 인화성액체 특수인화물 1
 
1.0%
제4류 인화성액체 제3석유류 수용성액체 1
 
1.0%
제4류 인화성액체 제2석유류 수용성액체 1
 
1.0%
제1류 산화성고체 질산염류 1
 
1.0%

Length

2023-12-10T20:59:30.808698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:30.970077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보없음 84
69.4%
비위험물 8
 
6.6%
제4류 6
 
5.0%
인화성액체 6
 
5.0%
제3석유류 3
 
2.5%
비수용성액체 3
 
2.5%
제2석유류 2
 
1.7%
수용성액체 2
 
1.7%
제5류 1
 
0.8%
자기반응성물질 1
 
0.8%
Other values (5) 5
 
4.1%

위험물안전관리법대한민국인용출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KFI/dataportal
100 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKFI/dataportal
2nd rowKFI/dataportal
3rd rowKFI/dataportal
4th rowKFI/dataportal
5th rowKFI/dataportal

Common Values

ValueCountFrequency (%)
KFI/dataportal 100
100.0%

Length

2023-12-10T20:59:31.171839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:31.326637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kfi/dataportal 100
100.0%

화학물질관리법일본
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
해당없음
91 
우선평가화학물질(PAC)
 
8
<NA>
 
1

Length

Max length13
Median length4
Mean length4.72
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row해당없음
2nd row우선평가화학물질(PAC)
3rd row해당없음
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 91
91.0%
우선평가화학물질(PAC) 8
 
8.0%
<NA> 1
 
1.0%

Length

2023-12-10T20:59:31.463084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:31.607748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 91
91.0%
우선평가화학물질(pac 8
 
8.0%
na 1
 
1.0%

화학물질관리법일본인용출처
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
NITE-CHRIP
99 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.94
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowNITE-CHRIP
2nd rowNITE-CHRIP
3rd rowNITE-CHRIP
4th rowNITE-CHRIP
5th rowNITE-CHRIP

Common Values

ValueCountFrequency (%)
NITE-CHRIP 99
99.0%
<NA> 1
 
1.0%

Length

2023-12-10T20:59:31.804784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:59:31.930151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nite-chrip 99
99.0%
na 1
 
1.0%

화학물질국문
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing38
Missing (%)38.0%
Memory size932.0 B
2023-12-10T20:59:32.126626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length39
Mean length16.967742
Min length1

Characters and Unicode

Total characters1052
Distinct characters172
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)95.2%

Sample

1st row말라카이트 그린
2nd row노닐페놀류
3rd row크롬(6+) 화합물
4th row0
5th row0
ValueCountFrequency (%)
스트리크닌 5
 
4.3%
0 3
 
2.6%
니켈 3
 
2.6%
질산 2
 
1.7%
황산 2
 
1.7%
에테르 2
 
1.7%
클로라이드 2
 
1.7%
석면 2
 
1.7%
스트리시닌-10-온 1
 
0.9%
클로르디메폼 1
 
0.9%
Other values (92) 92
80.0%
2023-12-10T20:59:32.628886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
 
6.7%
이 56
 
5.3%
53
 
5.0%
, 50
 
4.8%
로 38
 
3.6%
트 37
 
3.5%
1 32
 
3.0%
3 21
 
2.0%
틸 20
 
1.9%
스 19
 
1.8%
Other values (162) 656
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
64.3%
Decimal Number 108
 
10.3%
Dash Punctuation 70
 
6.7%
Other Punctuation 68
 
6.5%
Space Separator 53
 
5.0%
Open Punctuation 27
 
2.6%
Close Punctuation 26
 
2.5%
Uppercase Letter 17
 
1.6%
Lowercase Letter 4
 
0.4%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 56
 
8.3%
로 38
 
5.6%
트 37
 
5.5%
틸 20
 
3.0%
스 19
 
2.8%
리 19
 
2.8%
산 18
 
2.7%
메 18
 
2.7%
디 16
 
2.4%
아 15
 
2.2%
Other values (130) 420
62.1%
Decimal Number
ValueCountFrequency (%)
1 32
29.6%
3 21
19.4%
2 18
16.7%
4 10
 
9.3%
5 8
 
7.4%
6 7
 
6.5%
0 5
 
4.6%
8 3
 
2.8%
7 2
 
1.9%
9 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 50
73.5%
' 9
 
13.2%
: 4
 
5.9%
. 4
 
5.9%
; 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
N 12
70.6%
H 3
 
17.6%
Z 1
 
5.9%
C 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
ω 1
25.0%
α 1
25.0%
j 1
25.0%
i 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 1
33.3%
= 1
33.3%
+ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 19
73.1%
] 7
 
26.9%
Open Punctuation
ValueCountFrequency (%)
( 18
66.7%
[ 9
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
64.3%
Common 355
33.7%
Latin 19
 
1.8%
Greek 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 56
 
8.3%
로 38
 
5.6%
트 37
 
5.5%
틸 20
 
3.0%
스 19
 
2.8%
리 19
 
2.8%
산 18
 
2.7%
메 18
 
2.7%
디 16
 
2.4%
아 15
 
2.2%
Other values (130) 420
62.1%
Common
ValueCountFrequency (%)
- 70
19.7%
53
14.9%
, 50
14.1%
1 32
9.0%
3 21
 
5.9%
) 19
 
5.4%
( 18
 
5.1%
2 18
 
5.1%
4 10
 
2.8%
[ 9
 
2.5%
Other values (14) 55
15.5%
Latin
ValueCountFrequency (%)
N 12
63.2%
H 3
 
15.8%
Z 1
 
5.3%
C 1
 
5.3%
j 1
 
5.3%
i 1
 
5.3%
Greek
ValueCountFrequency (%)
ω 1
50.0%
α 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
64.3%
ASCII 374
35.6%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
18.7%
53
14.2%
, 50
13.4%
1 32
8.6%
3 21
 
5.6%
) 19
 
5.1%
( 18
 
4.8%
2 18
 
4.8%
N 12
 
3.2%
4 10
 
2.7%
Other values (20) 71
19.0%
Hangul
ValueCountFrequency (%)
이 56
 
8.3%
로 38
 
5.6%
트 37
 
5.5%
틸 20
 
3.0%
스 19
 
2.8%
리 19
 
2.8%
산 18
 
2.7%
메 18
 
2.7%
디 16
 
2.4%
아 15
 
2.2%
Other values (130) 420
62.1%
None
ValueCountFrequency (%)
ω 1
50.0%
α 1
50.0%

화학물질영문
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:59:32.849252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length61
Mean length35.72
Min length5

Characters and Unicode

Total characters3572
Distinct characters68
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowMalachite green
2nd rowNonylphenol ethoxylates
3rd rowChromium(6+) compounds
4th rowNickel sulfide
5th rowDinickel trioxide
ValueCountFrequency (%)
nickel 12
 
5.6%
strychnine 7
 
3.2%
acid 7
 
3.2%
hydrochloride 4
 
1.9%
chloride 4
 
1.9%
sulfate 3
 
1.4%
salt 3
 
1.4%
phosphate 3
 
1.4%
hexahydrate 2
 
0.9%
dichloride 2
 
0.9%
Other values (159) 169
78.2%
2023-12-10T20:59:33.290522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 328
 
9.2%
i 232
 
6.5%
o 226
 
6.3%
n 208
 
5.8%
t 199
 
5.6%
l 173
 
4.8%
a 168
 
4.7%
- 163
 
4.6%
h 158
 
4.4%
r 145
 
4.1%
Other values (58) 1572
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2630
73.6%
Decimal Number 227
 
6.4%
Other Punctuation 172
 
4.8%
Dash Punctuation 163
 
4.6%
Uppercase Letter 156
 
4.4%
Space Separator 116
 
3.2%
Open Punctuation 54
 
1.5%
Close Punctuation 50
 
1.4%
Math Symbol 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 328
12.5%
i 232
 
8.8%
o 226
 
8.6%
n 208
 
7.9%
t 199
 
7.6%
l 173
 
6.6%
a 168
 
6.4%
h 158
 
6.0%
r 145
 
5.5%
y 136
 
5.2%
Other values (17) 657
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 38
24.4%
D 18
11.5%
B 18
11.5%
M 14
 
9.0%
H 12
 
7.7%
A 11
 
7.1%
T 10
 
6.4%
S 9
 
5.8%
C 8
 
5.1%
P 6
 
3.8%
Other values (6) 12
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 48
21.1%
2 47
20.7%
3 38
16.7%
4 28
12.3%
5 17
 
7.5%
6 16
 
7.0%
7 10
 
4.4%
0 9
 
4.0%
8 8
 
3.5%
9 6
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 129
75.0%
; 18
 
10.5%
' 14
 
8.1%
. 5
 
2.9%
: 4
 
2.3%
* 2
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
∼ 1
25.0%
= 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 31
57.4%
[ 23
42.6%
Close Punctuation
ValueCountFrequency (%)
) 29
58.0%
] 21
42.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2784
77.9%
Common 786
 
22.0%
Greek 2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 328
11.8%
i 232
 
8.3%
o 226
 
8.1%
n 208
 
7.5%
t 199
 
7.1%
l 173
 
6.2%
a 168
 
6.0%
h 158
 
5.7%
r 145
 
5.2%
y 136
 
4.9%
Other values (31) 811
29.1%
Common
ValueCountFrequency (%)
- 163
20.7%
, 129
16.4%
116
14.8%
1 48
 
6.1%
2 47
 
6.0%
3 38
 
4.8%
( 31
 
3.9%
) 29
 
3.7%
4 28
 
3.6%
[ 23
 
2.9%
Other values (15) 134
17.0%
Greek
ValueCountFrequency (%)
ω 1
50.0%
α 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3569
99.9%
None 2
 
0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 328
 
9.2%
i 232
 
6.5%
o 226
 
6.3%
n 208
 
5.8%
t 199
 
5.6%
l 173
 
4.8%
a 168
 
4.7%
- 163
 
4.6%
h 158
 
4.4%
r 145
 
4.1%
Other values (55) 1569
44.0%
None
ValueCountFrequency (%)
ω 1
50.0%
α 1
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Correlations

2023-12-10T20:59:33.432529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
CAS등록번호화학물질관리법대한민국화학물질관리법대한민국인용출처위험물안전관리법대한민국화학물질관리법일본화학물질국문화학물질영문
CAS등록번호1.0001.0001.0001.0001.0001.0001.000
화학물질관리법대한민국1.0001.0000.0000.2460.2331.0001.000
화학물질관리법대한민국인용출처1.0000.0001.0000.198NaN1.0001.000
위험물안전관리법대한민국1.0000.2460.1981.0000.3051.0001.000
화학물질관리법일본1.0000.233NaN0.3051.0000.0001.000
화학물질국문1.0001.0001.0001.0000.0001.0001.000
화학물질영문1.0001.0001.0001.0001.0001.0001.000
2023-12-10T20:59:33.623128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
화학물질관리법일본위험물안전관리법대한민국화학물질관리법대한민국인용출처화학물질관리법일본인용출처화학물질관리법대한민국
화학물질관리법일본1.0000.2921.0001.0000.280
위험물안전관리법대한민국0.2921.0000.1891.0000.138
화학물질관리법대한민국인용출처1.0000.1891.0001.0000.000
화학물질관리법일본인용출처1.0001.0001.0001.0001.000
화학물질관리법대한민국0.2800.1380.0001.0001.000
2023-12-10T20:59:33.783256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
화학물질관리법대한민국화학물질관리법대한민국인용출처위험물안전관리법대한민국화학물질관리법일본화학물질관리법일본인용출처
화학물질관리법대한민국1.0000.0000.1380.2801.000
화학물질관리법대한민국인용출처0.0001.0000.1891.0001.000
위험물안전관리법대한민국0.1380.1891.0000.2921.000
화학물질관리법일본0.2801.0000.2921.0001.000
화학물질관리법일본인용출처1.0001.0001.0001.0001.000

Missing values

2023-12-10T20:59:28.737707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:59:28.921367image/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

CAS등록번호화학물질관리법대한민국화학물질관리법대한민국인용출처위험물안전관리법대한민국위험물안전관리법대한민국인용출처화학물질관리법일본화학물질관리법일본인용출처화학물질국문화학물질영문
010309-95-2제한물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP말라카이트 그린Malachite green
127177-05-5제한물질고시, NCIS정보없음KFI/dataportal우선평가화학물질(PAC)NITE-CHRIP노닐페놀류Nonylphenol ethoxylates
218540-29-9제한물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP크롬(6+) 화합물Chromium(6+) compounds
311113-75-0유독물, 중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Nickel sulfide
41314-06-3유독물고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Dinickel trioxide
5618-85-9유독물고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP03,5-dinitrotoluene
6619-15-8유독물고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP02,5-dinitrotoluene
7606-20-2유독물고시, NCIS비위험물KFI/dataportal해당없음NITE-CHRIP2,6-다이나이트로톨루엔2,6-dinitrotoluene
8610-39-9유독물고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP3,4-다이나이트로톨루엔3,4-Dinitrotoluene
9602-01-7유독물고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>1-Methyl-2,3-dinitrobenzene; 2,3-Dinitrotoluene
CAS등록번호화학물질관리법대한민국화학물질관리법대한민국인용출처위험물안전관리법대한민국위험물안전관리법대한민국인용출처화학물질관리법일본화학물질관리법일본인용출처화학물질국문화학물질영문
90191-30-0중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Dibenzo[a,l]pyrene
91218-01-9중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP크리센Chrysene; 1,2-Benzophenanthrene
92224-42-0중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Dibenz[a,j]acridine
93298-81-7중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>9-Methoxy-7H-furo[3,2-g] [1]benzopyran-7-one; 9-Methoxyfuro[3,2-g]chromen-7-one, 6-Hydroxy-7-methoxy
94307-35-7중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,8-Heptadecafluoro-1-octanesulfonyl fluoride; Heptadecafluorooctanesu
95313-67-7중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Aristolochic acid
96320-67-2중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Azacitidine
97335-76-2중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Nonadecafluorodecanoic acid
98366-70-1중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Procarbazine and Its Hydrochloride
99375-95-1중점관리물질고시, NCIS정보없음KFI/dataportal해당없음NITE-CHRIP<NA>Perfluorononan-1-oic-acid