Overview

Dataset statistics

Number of variables17
Number of observations10000
Missing cells64349
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory155.0 B

Variable types

Text4
Categorical8
Numeric1
Unsupported4

Alerts

유독물질 is highly imbalanced (76.1%)Imbalance
제한물질 is highly imbalanced (79.5%)Imbalance
금지물질 is highly imbalanced (79.2%)Imbalance
사고대비물질 is highly imbalanced (78.9%)Imbalance
중점관리대상물질 is highly imbalanced (76.4%)Imbalance
끝점농도 기준 is highly imbalanced (79.8%)Imbalance
사고노출위험구분수 is highly imbalanced (70.7%)Imbalance
국문 has 8256 (82.6%) missing valuesMissing
끝점농도 has 9504 (95.0%) missing valuesMissing
유해위험코드분류수 has 6589 (65.9%) missing valuesMissing
Unnamed: 13 has 10000 (100.0%) missing valuesMissing
Unnamed: 14 has 10000 (100.0%) missing valuesMissing
Unnamed: 15 has 10000 (100.0%) missing valuesMissing
Unnamed: 16 has 10000 (100.0%) missing valuesMissing
고유(CAS)번호 has unique valuesUnique
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 22:31:54.267909
Analysis finished2024-01-09 22:31:56.009135
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유(CAS)번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T07:31:56.429149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length11
Mean length10.7223
Min length8

Characters and Unicode

Total characters107223
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row 68002-98-2
2nd row 73049-43-1
3rd row 1323-65-5
4th row 18373-31-4
5th row 98-79-3
ValueCountFrequency (%)
68002-98-2 1
 
< 0.1%
69011-69-4 1
 
< 0.1%
68909-79-5 1
 
< 0.1%
220767-20-4 1
 
< 0.1%
80939-62-4 1
 
< 0.1%
822-06-0 1
 
< 0.1%
12220-10-9 1
 
< 0.1%
51-28-5 1
 
< 0.1%
75300-68-4 1
 
< 0.1%
124-25-4 1
 
< 0.1%
Other values (9992) 9992
99.9%
2024-01-10T07:31:56.818585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20014
18.7%
10002
9.3%
1 9752
9.1%
6 8722
8.1%
8 8185
7.6%
2 7704
 
7.2%
0 7544
 
7.0%
7 7209
 
6.7%
9 7158
 
6.7%
3 7135
 
6.7%
Other values (3) 13798
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77200
72.0%
Dash Punctuation 20014
 
18.7%
Space Separator 10002
 
9.3%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9752
12.6%
6 8722
11.3%
8 8185
10.6%
2 7704
10.0%
0 7544
9.8%
7 7209
9.3%
9 7158
9.3%
3 7135
9.2%
5 7127
9.2%
4 6664
8.6%
Dash Punctuation
ValueCountFrequency (%)
- 20014
100.0%
Space Separator
ValueCountFrequency (%)
10002
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20014
18.7%
10002
9.3%
1 9752
9.1%
6 8722
8.1%
8 8185
7.6%
2 7704
 
7.2%
0 7544
 
7.0%
7 7209
 
6.7%
9 7158
 
6.7%
3 7135
 
6.7%
Other values (3) 13798
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20014
18.7%
10002
9.3%
1 9752
9.1%
6 8722
8.1%
8 8185
7.6%
2 7704
 
7.2%
0 7544
 
7.0%
7 7209
 
6.7%
9 7158
 
6.7%
3 7135
 
6.7%
Other values (3) 13798
12.9%

영문
Text

Distinct9997
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T07:31:57.025259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length724
Median length282
Mean length60.5119
Min length2

Characters and Unicode

Total characters605119
Distinct characters108
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9994 ?
Unique (%)99.9%

Sample

1st rowTall oil polymer with phthalic anhydride and trimethylolpropane
2nd rowFatty acids, (C=16-22), (6-phenyl-1,3,5-triazine-2,4-diyl)bis[[(methoxymethyl)imino]methylene] esters
3rd rowPhenol, dinonyl-
4th rowGlycerol 1,3-dipropionate
5th row2-Pyrrolidon-5-carboxylic acid
ValueCountFrequency (%)
with 2825
 
6.1%
acid 2682
 
5.8%
and 2254
 
4.9%
polymer 1772
 
3.9%
oil 1066
 
2.3%
acids 869
 
1.9%
fatty 768
 
1.7%
anhydride 658
 
1.4%
salt 553
 
1.2%
ester 504
 
1.1%
Other values (9276) 31997
69.6%
2024-01-10T07:31:57.384395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 50539
 
8.4%
o 38757
 
6.4%
i 37640
 
6.2%
35979
 
5.9%
l 34466
 
5.7%
a 33220
 
5.5%
t 32783
 
5.4%
n 30352
 
5.0%
- 28893
 
4.8%
y 28149
 
4.7%
Other values (98) 254341
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 454593
75.1%
Space Separator 35979
 
5.9%
Decimal Number 30330
 
5.0%
Dash Punctuation 28893
 
4.8%
Other Punctuation 22110
 
3.7%
Uppercase Letter 15541
 
2.6%
Open Punctuation 8342
 
1.4%
Close Punctuation 8315
 
1.4%
Math Symbol 934
 
0.2%
Modifier Symbol 72
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 50539
11.1%
o 38757
 
8.5%
i 37640
 
8.3%
l 34466
 
7.6%
a 33220
 
7.3%
t 32783
 
7.2%
n 30352
 
6.7%
y 28149
 
6.2%
h 24849
 
5.5%
d 23948
 
5.3%
Other values (26) 119890
26.4%
Uppercase Letter
ValueCountFrequency (%)
C 1927
12.4%
D 1366
 
8.8%
N 1320
 
8.5%
H 1281
 
8.2%
M 1183
 
7.6%
B 972
 
6.3%
F 885
 
5.7%
T 879
 
5.7%
P 829
 
5.3%
S 796
 
5.1%
Other values (17) 4103
26.4%
Other Punctuation
ValueCountFrequency (%)
, 18358
83.0%
. 1445
 
6.5%
' 1386
 
6.3%
; 558
 
2.5%
: 291
 
1.3%
* 21
 
0.1%
′ 19
 
0.1%
" 16
 
0.1%
″ 7
 
< 0.1%
/ 6
 
< 0.1%
Other values (2) 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 8730
28.8%
1 8099
26.7%
3 4155
13.7%
4 3716
12.3%
5 1803
 
5.9%
6 1403
 
4.6%
8 743
 
2.4%
7 641
 
2.1%
0 585
 
1.9%
9 455
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 789
84.5%
+ 74
 
7.9%
→ 24
 
2.6%
~ 24
 
2.6%
> 10
 
1.1%
± 5
 
0.5%
∼ 5
 
0.5%
< 2
 
0.2%
≥ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 5616
67.3%
[ 2723
32.6%
{ 3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5615
67.5%
] 2696
32.4%
} 4
 
< 0.1%
Other Number
ValueCountFrequency (%)
¹ 2
50.0%
² 1
25.0%
³ 1
25.0%
Space Separator
ValueCountFrequency (%)
35979
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28893
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 72
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 469259
77.5%
Common 134984
 
22.3%
Greek 876
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 50539
 
10.8%
o 38757
 
8.3%
i 37640
 
8.0%
l 34466
 
7.3%
a 33220
 
7.1%
t 32783
 
7.0%
n 30352
 
6.5%
y 28149
 
6.0%
h 24849
 
5.3%
d 23948
 
5.1%
Other values (43) 134556
28.7%
Common
ValueCountFrequency (%)
35979
26.7%
- 28893
21.4%
, 18358
13.6%
2 8730
 
6.5%
1 8099
 
6.0%
( 5616
 
4.2%
) 5615
 
4.2%
3 4155
 
3.1%
4 3716
 
2.8%
[ 2723
 
2.0%
Other values (34) 13100
 
9.7%
Greek
ValueCountFrequency (%)
α 467
53.3%
ω 241
27.5%
β 100
 
11.4%
κ 25
 
2.9%
γ 14
 
1.6%
μ 13
 
1.5%
ε 6
 
0.7%
η 5
 
0.6%
δ 3
 
0.3%
Ο 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 604172
99.8%
None 885
 
0.1%
Punctuation 31
 
< 0.1%
Arrows 24
 
< 0.1%
Math Operators 6
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 50539
 
8.4%
o 38757
 
6.4%
i 37640
 
6.2%
35979
 
6.0%
l 34466
 
5.7%
a 33220
 
5.5%
t 32783
 
5.4%
n 30352
 
5.0%
- 28893
 
4.8%
y 28149
 
4.7%
Other values (76) 253394
41.9%
None
ValueCountFrequency (%)
α 467
52.8%
ω 241
27.2%
β 100
 
11.3%
κ 25
 
2.8%
γ 14
 
1.6%
μ 13
 
1.5%
ε 6
 
0.7%
± 5
 
0.6%
η 5
 
0.6%
δ 3
 
0.3%
Other values (5) 6
 
0.7%
Arrows
ValueCountFrequency (%)
→ 24
100.0%
Punctuation
ValueCountFrequency (%)
′ 19
61.3%
″ 7
 
22.6%
’ 5
 
16.1%
Math Operators
ValueCountFrequency (%)
∼ 5
83.3%
≥ 1
 
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

국문
Text

MISSING 

Distinct1741
Distinct (%)99.8%
Missing8256
Missing (%)82.6%
Memory size156.2 KiB
2024-01-10T07:31:57.564348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length183
Median length122
Mean length16.376147
Min length1

Characters and Unicode

Total characters28560
Distinct characters413
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1738 ?
Unique (%)99.7%

Sample

1st row2-부타논 옥심과 디이소시안산이소포론의 중합체
2nd row아비산,은
3rd row1-(2-옥소-2-페닐에틸)피리디늄,브로마이드
4th row아이소데실,2-메틸-2-프로펜산염과,결합한,2-메틸-2-프로펜산,헥사데실,에스터,중합체와,옥타데실,2-메틸-2-프로펜산염
5th row메타아크릴산 3-클로로-2-히드록시프로필
ValueCountFrequency (%)
1:1 11
 
0.6%
염 11
 
0.6%
c.i 5
 
0.3%
나트륨 5
 
0.3%
글리시딜 4
 
0.2%
반응생성물 4
 
0.2%
메틸 4
 
0.2%
디스퍼스 3
 
0.2%
알코올 3
 
0.2%
에스터 3
 
0.2%
Other values (1878) 1907
97.3%
2024-01-10T07:31:57.885675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2332
 
8.2%
, 2201
 
7.7%
이 1711
 
6.0%
로 980
 
3.4%
트 768
 
2.7%
틸 747
 
2.6%
아 720
 
2.5%
2 671
 
2.3%
1 582
 
2.0%
메 543
 
1.9%
Other values (403) 17305
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19494
68.3%
Other Punctuation 2431
 
8.5%
Decimal Number 2399
 
8.4%
Dash Punctuation 2332
 
8.2%
Open Punctuation 522
 
1.8%
Close Punctuation 517
 
1.8%
Uppercase Letter 438
 
1.5%
Space Separator 217
 
0.8%
Lowercase Letter 184
 
0.6%
Math Symbol 17
 
0.1%
Other values (3) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1711
 
8.8%
로 980
 
5.0%
트 768
 
3.9%
틸 747
 
3.8%
아 720
 
3.7%
메 543
 
2.8%
다 495
 
2.5%
드 478
 
2.5%
라 427
 
2.2%
산 404
 
2.1%
Other values (316) 12221
62.7%
Lowercase Letter
ValueCountFrequency (%)
t 33
17.9%
e 22
12.0%
r 16
 
8.7%
p 13
 
7.1%
a 12
 
6.5%
o 12
 
6.5%
c 9
 
4.9%
n 8
 
4.3%
α 8
 
4.3%
i 8
 
4.3%
Other values (16) 43
23.4%
Uppercase Letter
ValueCountFrequency (%)
N 146
33.3%
I 68
15.5%
O 41
 
9.4%
C 34
 
7.8%
H 26
 
5.9%
D 18
 
4.1%
S 14
 
3.2%
L 13
 
3.0%
T 13
 
3.0%
R 12
 
2.7%
Other values (11) 53
 
12.1%
Other Punctuation
ValueCountFrequency (%)
, 2201
90.5%
' 105
 
4.3%
: 48
 
2.0%
. 41
 
1.7%
′ 9
 
0.4%
/ 6
 
0.2%
" 6
 
0.2%
; 4
 
0.2%
· 4
 
0.2%
# 2
 
0.1%
Other values (4) 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 671
28.0%
1 582
24.3%
4 364
15.2%
3 361
15.0%
5 159
 
6.6%
6 126
 
5.3%
7 43
 
1.8%
9 35
 
1.5%
8 32
 
1.3%
0 26
 
1.1%
Math Symbol
ValueCountFrequency (%)
= 7
41.2%
+ 6
35.3%
~ 2
 
11.8%
> 1
 
5.9%
< 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 374
71.6%
[ 146
 
28.0%
{ 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 374
72.3%
] 140
 
27.1%
} 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 2332
100.0%
Space Separator
ValueCountFrequency (%)
217
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19494
68.3%
Common 8443
29.6%
Latin 605
 
2.1%
Greek 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1711
 
8.8%
로 980
 
5.0%
트 768
 
3.9%
틸 747
 
3.8%
아 720
 
3.7%
메 543
 
2.8%
다 495
 
2.5%
드 478
 
2.5%
라 427
 
2.2%
산 404
 
2.1%
Other values (316) 12221
62.7%
Latin
ValueCountFrequency (%)
N 146
24.1%
I 68
 
11.2%
O 41
 
6.8%
C 34
 
5.6%
t 33
 
5.5%
H 26
 
4.3%
e 22
 
3.6%
D 18
 
3.0%
r 16
 
2.6%
S 14
 
2.3%
Other values (31) 187
30.9%
Common
ValueCountFrequency (%)
- 2332
27.6%
, 2201
26.1%
2 671
 
7.9%
1 582
 
6.9%
( 374
 
4.4%
) 374
 
4.4%
4 364
 
4.3%
3 361
 
4.3%
217
 
2.6%
5 159
 
1.9%
Other values (29) 808
 
9.6%
Greek
ValueCountFrequency (%)
α 8
44.4%
κ 4
22.2%
ω 2
 
11.1%
η 1
 
5.6%
β 1
 
5.6%
ε 1
 
5.6%
Ο 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19494
68.3%
ASCII 9032
31.6%
None 23
 
0.1%
Punctuation 10
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2332
25.8%
, 2201
24.4%
2 671
 
7.4%
1 582
 
6.4%
( 374
 
4.1%
) 374
 
4.1%
4 364
 
4.0%
3 361
 
4.0%
217
 
2.4%
5 159
 
1.8%
Other values (65) 1397
15.5%
Hangul
ValueCountFrequency (%)
이 1711
 
8.8%
로 980
 
5.0%
트 768
 
3.9%
틸 747
 
3.8%
아 720
 
3.7%
메 543
 
2.8%
다 495
 
2.5%
드 478
 
2.5%
라 427
 
2.2%
산 404
 
2.1%
Other values (316) 12221
62.7%
Punctuation
ValueCountFrequency (%)
′ 9
90.0%
’ 1
 
10.0%
None
ValueCountFrequency (%)
α 8
34.8%
· 4
17.4%
κ 4
17.4%
ω 2
 
8.7%
η 1
 
4.3%
β 1
 
4.3%
＼ 1
 
4.3%
ε 1
 
4.3%
Ο 1
 
4.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

유독물질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9418 
0
 
297
1
 
285

Length

Max length4
Median length4
Mean length3.8254
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9418
94.2%
0 297
 
3.0%
1 285
 
2.9%

Length

2024-01-10T07:31:58.000280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.082256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9418
94.2%
0 297
 
3.0%
1 285
 
2.9%

제한물질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9418 
0
 
576
1
 
6

Length

Max length4
Median length4
Mean length3.8254
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9418
94.2%
0 576
 
5.8%
1 6
 
0.1%

Length

2024-01-10T07:31:58.175549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.263143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9418
94.2%
0 576
 
5.8%
1 6
 
0.1%

금지물질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9418 
0
 
569
1
 
13

Length

Max length4
Median length4
Mean length3.8254
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9418
94.2%
0 569
 
5.7%
1 13
 
0.1%

Length

2024-01-10T07:31:58.348178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.431879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9418
94.2%
0 569
 
5.7%
1 13
 
0.1%

사고대비물질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9419 
0
 
557
1
 
24

Length

Max length4
Median length4
Mean length3.8257
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9419
94.2%
0 557
 
5.6%
1 24
 
0.2%

Length

2024-01-10T07:31:58.518028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.600864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9419
94.2%
0 557
 
5.6%
1 24
 
0.2%

중점관리대상물질
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9418 
0
 
381
1
 
201

Length

Max length4
Median length4
Mean length3.8254
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9418
94.2%
0 381
 
3.8%
1 201
 
2.0%

Length

2024-01-10T07:31:58.690710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.771983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9418
94.2%
0 381
 
3.8%
1 201
 
2.0%

물질상태
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7265 
액체
1396 
고체
1314 
기체
 
25

Length

Max length4
Median length4
Mean length3.453
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row액체
4th row<NA>
5th row고체

Common Values

ValueCountFrequency (%)
<NA> 7265
72.7%
액체 1396
 
14.0%
고체 1314
 
13.1%
기체 25
 
0.2%

Length

2024-01-10T07:31:58.866837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:58.965146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7265
72.7%
액체 1396
 
14.0%
고체 1314
 
13.1%
기체 25
 
0.2%

끝점농도
Text

MISSING 

Distinct324
Distinct (%)65.3%
Missing9504
Missing (%)95.0%
Memory size156.2 KiB
2024-01-10T07:31:59.259657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.5927419
Min length5

Characters and Unicode

Total characters3766
Distinct characters14
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

Unique264 ?
Unique (%)53.2%

Sample

1st row0.02 ppm
2nd row0.22 ppm
3rd row230 ppm
4th row1.11 ppm
5th row183 ppm
ValueCountFrequency (%)
ppm 496
50.0%
0 33
 
3.3%
0.01 17
 
1.7%
100 9
 
0.9%
0.02 9
 
0.9%
2 8
 
0.8%
75 7
 
0.7%
1 6
 
0.6%
0.05 6
 
0.6%
0.03 5
 
0.5%
Other values (315) 396
39.9%
2024-01-10T07:31:59.697938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 992
26.3%
496
13.2%
m 496
13.2%
. 352
 
9.3%
0 350
 
9.3%
1 199
 
5.3%
2 179
 
4.8%
3 139
 
3.7%
5 127
 
3.4%
7 108
 
2.9%
Other values (4) 328
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1488
39.5%
Decimal Number 1430
38.0%
Space Separator 496
 
13.2%
Other Punctuation 352
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 350
24.5%
1 199
13.9%
2 179
12.5%
3 139
 
9.7%
5 127
 
8.9%
7 108
 
7.6%
4 98
 
6.9%
6 90
 
6.3%
8 73
 
5.1%
9 67
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
p 992
66.7%
m 496
33.3%
Space Separator
ValueCountFrequency (%)
496
100.0%
Other Punctuation
ValueCountFrequency (%)
. 352
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2278
60.5%
Latin 1488
39.5%

Most frequent character per script

Common
ValueCountFrequency (%)
496
21.8%
. 352
15.5%
0 350
15.4%
1 199
8.7%
2 179
 
7.9%
3 139
 
6.1%
5 127
 
5.6%
7 108
 
4.7%
4 98
 
4.3%
6 90
 
4.0%
Other values (2) 140
 
6.1%
Latin
ValueCountFrequency (%)
p 992
66.7%
m 496
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 992
26.3%
496
13.2%
m 496
13.2%
. 352
 
9.3%
0 350
 
9.3%
1 199
 
5.3%
2 179
 
4.8%
3 139
 
3.7%
5 127
 
3.4%
7 108
 
2.9%
Other values (4) 328
 
8.7%

끝점농도 기준
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9503 
PAC-2
 
401
IDLH*0.1
 
96

Length

Max length8
Median length4
Mean length4.0785
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9503
95.0%
PAC-2 401
 
4.0%
IDLH*0.1 96
 
1.0%

Length

2024-01-10T07:31:59.826767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:31:59.936529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9503
95.0%
pac-2 401
 
4.0%
idlh*0.1 96
 
1.0%

유해위험코드분류수
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)0.7%
Missing6589
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean4.2099091
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:32:00.025280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum25
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9806662
Coefficient of variation (CV)0.70801201
Kurtosis5.4043103
Mean4.2099091
Median Absolute Deviation (MAD)2
Skewness1.8571005
Sum14360
Variance8.884371
MonotonicityNot monotonic
2024-01-10T07:32:00.129339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 704
 
7.0%
1 521
 
5.2%
4 499
 
5.0%
2 481
 
4.8%
5 378
 
3.8%
6 286
 
2.9%
7 170
 
1.7%
8 108
 
1.1%
9 64
 
0.6%
10 50
 
0.5%
Other values (13) 150
 
1.5%
(Missing) 6589
65.9%
ValueCountFrequency (%)
1 521
5.2%
2 481
4.8%
3 704
7.0%
4 499
5.0%
5 378
3.8%
6 286
2.9%
7 170
 
1.7%
8 108
 
1.1%
9 64
 
0.6%
10 50
 
0.5%
ValueCountFrequency (%)
25 2
 
< 0.1%
23 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 3
 
< 0.1%
18 11
0.1%
17 4
 
< 0.1%
16 11
0.1%
15 10
0.1%
14 13
0.1%

사고노출위험구분수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8624 
4
 
830
5
 
460
3
 
46
2
 
24

Length

Max length4
Median length4
Mean length3.5872
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8624
86.2%
4 830
 
8.3%
5 460
 
4.6%
3 46
 
0.5%
2 24
 
0.2%
1 16
 
0.2%

Length

2024-01-10T07:32:00.229601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:32:00.319077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8624
86.2%
4 830
 
8.3%
5 460
 
4.6%
3 46
 
0.5%
2 24
 
0.2%
1 16
 
0.2%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Interactions

2024-01-10T07:31:55.398014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:32:00.388423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유독물질제한물질금지물질사고대비물질중점관리대상물질물질상태끝점농도 기준유해위험코드분류수사고노출위험구분수
유독물질1.0000.0000.1360.0790.5820.0610.2300.6350.000
제한물질0.0001.0000.0000.0000.0000.0320.0000.0000.000
금지물질0.1360.0001.0000.0000.1380.0680.0000.0000.000
사고대비물질0.0790.0000.0001.0000.0000.1740.0000.0000.071
중점관리대상물질0.5820.0000.1380.0001.0000.0800.2020.4300.127
물질상태0.0610.0320.0680.1740.0801.0000.0690.1280.104
끝점농도 기준0.2300.0000.0000.0000.2020.0691.0000.0580.134
유해위험코드분류수0.6350.0000.0000.0000.4300.1280.0581.0000.279
사고노출위험구분수0.0000.0000.0000.0710.1270.1040.1340.2791.000
2024-01-10T07:32:00.500083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사고노출위험구분수끝점농도 기준유독물질물질상태중점관리대상물질제한물질금지물질사고대비물질
사고노출위험구분수1.0000.1630.0000.0780.1550.0000.0000.087
끝점농도 기준0.1631.0000.1470.1140.1300.0000.0000.000
유독물질0.0000.1471.0000.1020.3950.0000.0870.050
물질상태0.0780.1140.1021.0000.1330.0520.1120.286
중점관리대상물질0.1550.1300.3950.1331.0000.0000.0880.000
제한물질0.0000.0000.0000.0520.0001.0000.0000.000
금지물질0.0000.0000.0870.1120.0880.0001.0000.000
사고대비물질0.0870.0000.0500.2860.0000.0000.0001.000
2024-01-10T07:32:00.609542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유해위험코드분류수유독물질제한물질금지물질사고대비물질중점관리대상물질물질상태끝점농도 기준사고노출위험구분수
유해위험코드분류수1.0000.4790.0000.0000.0000.3200.0740.0700.166
유독물질0.4791.0000.0000.0870.0500.3950.1020.1470.000
제한물질0.0000.0001.0000.0000.0000.0000.0520.0000.000
금지물질0.0000.0870.0001.0000.0000.0880.1120.0000.000
사고대비물질0.0000.0500.0000.0001.0000.0000.2860.0000.087
중점관리대상물질0.3200.3950.0000.0880.0001.0000.1330.1300.155
물질상태0.0740.1020.0520.1120.2860.1331.0000.1140.078
끝점농도 기준0.0700.1470.0000.0000.0000.1300.1141.0000.163
사고노출위험구분수0.1660.0000.0000.0000.0870.1550.0780.1631.000

Missing values

2024-01-10T07:31:55.514855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:31:55.703150image/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.
2024-01-10T07:31:55.872840image/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

고유(CAS)번호영문국문유독물질제한물질금지물질사고대비물질중점관리대상물질물질상태끝점농도끝점농도 기준유해위험코드분류수사고노출위험구분수Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16
2600068002-98-2Tall oil polymer with phthalic anhydride and trimethylolpropane<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3492273049-43-1Fatty acids, (C=16-22), (6-phenyl-1,3,5-triazine-2,4-diyl)bis[[(methoxymethyl)imino]methylene] esters<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60521323-65-5Phenol, dinonyl-<NA><NA><NA><NA><NA><NA>액체<NA><NA>84<NA><NA><NA><NA>
1099918373-31-4Glycerol 1,3-dipropionate<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4250598-79-32-Pyrrolidon-5-carboxylic acid<NA><NA><NA><NA><NA><NA>고체<NA><NA>4<NA><NA><NA><NA><NA>
361387757-86-0Magnesium hydrogenorthophosphate<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
471212270-00-7C.I. acid red 227<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4805123236-78-2Formaldehyde polymer with 3-methylphenol, 4-methylphenol and 2,3,5-trimethylphenol<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12832232938-10-22-Butanone oxime polymer with isophoronediisocyanate2-부타논 옥심과 디이소시안산이소포론의 중합체10000<NA><NA><NA>8<NA><NA><NA><NA><NA>
1352825134-01-42,6-Dimethylphenol homopolymer; Poly (2,6-dimethyl-1,4-phenylene oxide)<NA><NA><NA><NA><NA><NA>액체<NA><NA>12<NA><NA><NA><NA><NA>
고유(CAS)번호영문국문유독물질제한물질금지물질사고대비물질중점관리대상물질물질상태끝점농도끝점농도 기준유해위험코드분류수사고노출위험구분수Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16
6875136210-30-5Tetraethyl N,N'-(methylenedi-4,1-cyclohexanediyl)bis(aspartate)<NA><NA><NA><NA><NA><NA>액체<NA><NA>2<NA><NA><NA><NA><NA>
3001868585-48-8Sulfuric acid nickel(2+) salt (1:1), reaction products with nickel and nickel oxide (NiO)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2372063221-88-51-(4-Methoxyphenyl)-2-(4-ethylphenyl)ethyne<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA>
869315451-00-03-Sulfinobenzoic,acid3-설피노벤조산<NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA>
3212768952-55-6Fatty acids, cottonseed-oil polymers with benzoic acid, isophthalic acid, pentaerythritol and phthalic anhydride<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37404819862-31-27,8-Difluoro-3,4-dihydro-2-pentyl-6-[[(trans,trans)-4'-propyl[1,1'-bicyclohexyl]-4-yl]methoxy]-2H-1-benzopyran<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1370104351-92-0Poly(oxy-1,2-ethanediyl), α-sulfo-ω-[2-(methyloctadecylamino)ethoxy]ammonium salt<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1984151999-23-6Methylenebutanedioic acid polymer with butyl 2-propenoate, ethyl 2-propenoate and N-(hydroxymethyl)-2-propenamide<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
760914167-15-8[2,2'-Ethylenebis(nitrilomethylidene)diphenolate]copper(II)<NA><NA><NA><NA><NA><NA>액체<NA><NA>1<NA><NA><NA><NA><NA>
2600768003-16-7Hexanedioic acid polymer with 1,3-benzenedicarboxylic acid, 2,2-dimethyl-1,3-propanediol, 1,3-isobenzofurandione, (Z)-9-octadecenoic acid dimer and 1,2-propanediol<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>