Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells24808
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory878.9 KiB
Average record size in memory90.0 B

Variable types

Text6
Categorical2
Unsupported2

Alerts

GHS코드 is highly overall correlated with 유해위험세부분류High correlation
유해위험세부분류 is highly overall correlated with GHS코드High correlation
국문 has 4808 (48.1%) missing valuesMissing
Unnamed: 8 has 10000 (100.0%) missing valuesMissing
Unnamed: 9 has 10000 (100.0%) missing valuesMissing
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 21:51:10.987825
Analysis finished2024-01-09 21:51:11.973581
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유(CAS)번호
Text

Distinct6781
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:51:12.173318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0037
Min length7

Characters and Unicode

Total characters90037
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

Unique4499 ?
Unique (%)45.0%

Sample

1st row50-84-0
2nd row625-43-4
3rd row1310-73-2
4th row461-58-5
5th row157299-02-0
ValueCountFrequency (%)
16337-84-1 8
 
0.1%
96-29-7 7
 
0.1%
822-36-6 7
 
0.1%
3121-61-7 7
 
0.1%
15571-58-1 7
 
0.1%
593-74-8 7
 
0.1%
584-79-2 7
 
0.1%
108-90-7 6
 
0.1%
7785-87-7 6
 
0.1%
7446-14-2 6
 
0.1%
Other values (6771) 9932
99.3%
2024-01-10T06:51:12.519625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20000
22.2%
1 9149
10.2%
0 7156
 
7.9%
5 7017
 
7.8%
6 7000
 
7.8%
2 6996
 
7.8%
3 6889
 
7.7%
8 6592
 
7.3%
7 6541
 
7.3%
4 6428
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70037
77.8%
Dash Punctuation 20000
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9149
13.1%
0 7156
10.2%
5 7017
10.0%
6 7000
10.0%
2 6996
10.0%
3 6889
9.8%
8 6592
9.4%
7 6541
9.3%
4 6428
9.2%
9 6269
9.0%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90037
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20000
22.2%
1 9149
10.2%
0 7156
 
7.9%
5 7017
 
7.8%
6 7000
 
7.8%
2 6996
 
7.8%
3 6889
 
7.7%
8 6592
 
7.3%
7 6541
 
7.3%
4 6428
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90037
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20000
22.2%
1 9149
10.2%
0 7156
 
7.9%
5 7017
 
7.8%
6 7000
 
7.8%
2 6996
 
7.8%
3 6889
 
7.7%
8 6592
 
7.3%
7 6541
 
7.3%
4 6428
 
7.1%

영문
Text

Distinct6764
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:51:12.743379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length285
Median length191
Mean length34.3778
Min length3

Characters and Unicode

Total characters343778
Distinct characters105
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

Unique4475 ?
Unique (%)44.8%

Sample

1st row2,4-Dichlorobenzoic acid
2nd rowN-Methylisobutylamine
3rd rowSodium,hydroxide
4th rowCyanoguanidine
5th row1,3-Bis(1-isocyanato-1-methylethyl)benzene homopolymer
ValueCountFrequency (%)
acid 1098
 
5.7%
salt 393
 
2.0%
ester 330
 
1.7%
with 294
 
1.5%
sodium 252
 
1.3%
homopolymer 187
 
1.0%
polymer 175
 
0.9%
and 134
 
0.7%
chloride 128
 
0.7%
hydrochloride 96
 
0.5%
Other values (7794) 16087
83.9%
2024-01-10T06:51:13.078329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 29692
 
8.6%
o 23342
 
6.8%
i 21866
 
6.4%
l 19980
 
5.8%
- 19605
 
5.7%
t 17982
 
5.2%
n 17831
 
5.2%
a 17559
 
5.1%
y 15595
 
4.5%
h 14669
 
4.3%
Other values (95) 145657
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 256169
74.5%
Decimal Number 19828
 
5.8%
Dash Punctuation 19605
 
5.7%
Uppercase Letter 15122
 
4.4%
Other Punctuation 13685
 
4.0%
Space Separator 9176
 
2.7%
Open Punctuation 4889
 
1.4%
Close Punctuation 4871
 
1.4%
Math Symbol 400
 
0.1%
Modifier Symbol 22
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 29692
11.6%
o 23342
 
9.1%
i 21866
 
8.5%
l 19980
 
7.8%
t 17982
 
7.0%
n 17831
 
7.0%
a 17559
 
6.9%
y 15595
 
6.1%
h 14669
 
5.7%
r 13676
 
5.3%
Other values (25) 63977
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 1760
11.6%
C 1518
10.0%
N 1383
9.1%
T 1162
 
7.7%
H 1159
 
7.7%
M 1144
 
7.6%
P 1030
 
6.8%
B 996
 
6.6%
A 933
 
6.2%
E 717
 
4.7%
Other values (16) 3320
22.0%
Other Punctuation
ValueCountFrequency (%)
, 11193
81.8%
; 991
 
7.2%
' 710
 
5.2%
. 556
 
4.1%
: 159
 
1.2%
* 33
 
0.2%
′ 16
 
0.1%
/ 13
 
0.1%
% 4
 
< 0.1%
" 4
 
< 0.1%
Other values (3) 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 5286
26.7%
1 4942
24.9%
3 2855
14.4%
4 2771
14.0%
5 1267
 
6.4%
6 1038
 
5.2%
7 532
 
2.7%
0 428
 
2.2%
8 395
 
2.0%
9 314
 
1.6%
Math Symbol
ValueCountFrequency (%)
= 256
64.0%
+ 89
 
22.2%
± 26
 
6.5%
→ 14
 
3.5%
~ 6
 
1.5%
∼ 4
 
1.0%
< 4
 
1.0%
> 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 3561
73.1%
] 1308
 
26.9%
} 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3560
72.8%
[ 1328
 
27.2%
{ 1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 19605
100.0%
Space Separator
ValueCountFrequency (%)
9176
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 22
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 270740
78.8%
Common 72484
 
21.1%
Greek 554
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 29692
 
11.0%
o 23342
 
8.6%
i 21866
 
8.1%
l 19980
 
7.4%
t 17982
 
6.6%
n 17831
 
6.6%
a 17559
 
6.5%
y 15595
 
5.8%
h 14669
 
5.4%
r 13676
 
5.1%
Other values (43) 78548
29.0%
Common
ValueCountFrequency (%)
- 19605
27.0%
, 11193
15.4%
9176
12.7%
2 5286
 
7.3%
1 4942
 
6.8%
) 3561
 
4.9%
( 3560
 
4.9%
3 2855
 
3.9%
4 2771
 
3.8%
[ 1328
 
1.8%
Other values (33) 8207
11.3%
Greek
ValueCountFrequency (%)
α 319
57.6%
ω 101
 
18.2%
β 90
 
16.2%
γ 15
 
2.7%
κ 11
 
2.0%
μ 7
 
1.3%
η 5
 
0.9%
δ 3
 
0.5%
λ 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 343153
99.8%
None 580
 
0.2%
Punctuation 24
 
< 0.1%
Arrows 14
 
< 0.1%
Math Operators 4
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 29692
 
8.7%
o 23342
 
6.8%
i 21866
 
6.4%
l 19980
 
5.8%
- 19605
 
5.7%
t 17982
 
5.2%
n 17831
 
5.2%
a 17559
 
5.1%
y 15595
 
4.5%
h 14669
 
4.3%
Other values (78) 145032
42.3%
None
ValueCountFrequency (%)
α 319
55.0%
ω 101
 
17.4%
β 90
 
15.5%
± 26
 
4.5%
γ 15
 
2.6%
κ 11
 
1.9%
μ 7
 
1.2%
η 5
 
0.9%
δ 3
 
0.5%
λ 3
 
0.5%
Punctuation
ValueCountFrequency (%)
′ 16
66.7%
’ 6
 
25.0%
‘ 1
 
4.2%
“ 1
 
4.2%
Arrows
ValueCountFrequency (%)
→ 14
100.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
100.0%

국문
Text

MISSING 

Distinct3424
Distinct (%)65.9%
Missing4808
Missing (%)48.1%
Memory size156.2 KiB
2024-01-10T06:51:13.272299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length82
Mean length12.843413
Min length1

Characters and Unicode

Total characters66683
Distinct characters452
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2172 ?
Unique (%)41.8%

Sample

1st row수산화나트륨
2nd row사이아노구아니딘
3rd row2,4-다이나이트로페놀
4th row3,4-다이클로로톨루엔
5th row스칸듐과,결합한,안티모니,화합물(1,:,1)
ValueCountFrequency (%)
1:1 16
 
0.3%
염 15
 
0.3%
니켈 12
 
0.2%
메틸 11
 
0.2%
에스터 8
 
0.1%
리튬 8
 
0.1%
에틸렌,글라이콜,메틸,에테르,아크릴레이트 7
 
0.1%
황산 7
 
0.1%
소듐 7
 
0.1%
다이메틸수은 7
 
0.1%
Other values (3565) 5455
98.2%
2024-01-10T06:51:13.600508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4935
 
7.4%
이 4640
 
7.0%
, 4487
 
6.7%
로 2689
 
4.0%
트 2098
 
3.1%
틸 1851
 
2.8%
아 1798
 
2.7%
2 1378
 
2.1%
메 1327
 
2.0%
다 1276
 
1.9%
Other values (442) 40204
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48196
72.3%
Decimal Number 4974
 
7.5%
Dash Punctuation 4935
 
7.4%
Other Punctuation 4854
 
7.3%
Uppercase Letter 1033
 
1.5%
Open Punctuation 956
 
1.4%
Close Punctuation 953
 
1.4%
Lowercase Letter 364
 
0.5%
Space Separator 361
 
0.5%
Math Symbol 54
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4640
 
9.6%
로 2689
 
5.6%
트 2098
 
4.4%
틸 1851
 
3.8%
아 1798
 
3.7%
메 1327
 
2.8%
다 1276
 
2.6%
드 1257
 
2.6%
라 1144
 
2.4%
산 988
 
2.0%
Other values (354) 29128
60.4%
Lowercase Letter
ValueCountFrequency (%)
t 51
14.0%
e 40
11.0%
a 39
10.7%
r 32
 
8.8%
o 21
 
5.8%
n 20
 
5.5%
k 20
 
5.5%
α 19
 
5.2%
p 17
 
4.7%
c 12
 
3.3%
Other values (20) 93
25.5%
Uppercase Letter
ValueCountFrequency (%)
N 313
30.3%
I 193
18.7%
O 92
 
8.9%
C 76
 
7.4%
H 58
 
5.6%
S 57
 
5.5%
T 47
 
4.5%
R 44
 
4.3%
E 29
 
2.8%
P 28
 
2.7%
Other values (10) 96
 
9.3%
Other Punctuation
ValueCountFrequency (%)
, 4487
92.4%
' 160
 
3.3%
. 82
 
1.7%
: 64
 
1.3%
* 13
 
0.3%
/ 13
 
0.3%
′ 10
 
0.2%
· 9
 
0.2%
; 7
 
0.1%
% 4
 
0.1%
Other values (3) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 1378
27.7%
1 1194
24.0%
3 809
16.3%
4 789
15.9%
5 346
 
7.0%
6 223
 
4.5%
7 71
 
1.4%
9 62
 
1.2%
8 56
 
1.1%
0 46
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 34
63.0%
= 10
 
18.5%
~ 7
 
13.0%
± 2
 
3.7%
< 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 793
83.2%
] 158
 
16.6%
} 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 790
82.6%
[ 165
 
17.3%
{ 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 4935
100.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48196
72.3%
Common 17090
 
25.6%
Latin 1352
 
2.0%
Greek 45
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4640
 
9.6%
로 2689
 
5.6%
트 2098
 
4.4%
틸 1851
 
3.8%
아 1798
 
3.7%
메 1327
 
2.8%
다 1276
 
2.6%
드 1257
 
2.6%
라 1144
 
2.4%
산 988
 
2.0%
Other values (354) 29128
60.4%
Latin
ValueCountFrequency (%)
N 313
23.2%
I 193
14.3%
O 92
 
6.8%
C 76
 
5.6%
H 58
 
4.3%
S 57
 
4.2%
t 51
 
3.8%
T 47
 
3.5%
R 44
 
3.3%
e 40
 
3.0%
Other values (33) 381
28.2%
Common
ValueCountFrequency (%)
- 4935
28.9%
, 4487
26.3%
2 1378
 
8.1%
1 1194
 
7.0%
3 809
 
4.7%
) 793
 
4.6%
( 790
 
4.6%
4 789
 
4.6%
361
 
2.1%
5 346
 
2.0%
Other values (28) 1208
 
7.1%
Greek
ValueCountFrequency (%)
α 19
42.2%
κ 9
20.0%
μ 5
 
11.1%
η 4
 
8.9%
λ 3
 
6.7%
β 3
 
6.7%
ω 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48196
72.3%
ASCII 18418
 
27.6%
None 56
 
0.1%
Punctuation 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4935
26.8%
, 4487
24.4%
2 1378
 
7.5%
1 1194
 
6.5%
3 809
 
4.4%
) 793
 
4.3%
( 790
 
4.3%
4 789
 
4.3%
361
 
2.0%
5 346
 
1.9%
Other values (66) 2536
13.8%
Hangul
ValueCountFrequency (%)
이 4640
 
9.6%
로 2689
 
5.6%
트 2098
 
4.4%
틸 1851
 
3.8%
아 1798
 
3.7%
메 1327
 
2.8%
다 1276
 
2.6%
드 1257
 
2.6%
라 1144
 
2.4%
산 988
 
2.0%
Other values (354) 29128
60.4%
None
ValueCountFrequency (%)
α 19
33.9%
· 9
16.1%
κ 9
16.1%
μ 5
 
8.9%
η 4
 
7.1%
λ 3
 
5.4%
β 3
 
5.4%
± 2
 
3.6%
ω 2
 
3.6%
Punctuation
ValueCountFrequency (%)
′ 10
76.9%
‘ 2
 
15.4%
’ 1
 
7.7%

유해위험코드
Text

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:51:13.778601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters40000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowH319
2nd rowH224
3rd rowH290
4th rowH312
5th rowH334
ValueCountFrequency (%)
h319 1155
 
11.6%
h315 1094
 
10.9%
h335 814
 
8.1%
h302 751
 
7.5%
h400 471
 
4.7%
h317 435
 
4.3%
h410 395
 
4.0%
h314 381
 
3.8%
h318 359
 
3.6%
h332 309
 
3.1%
Other values (55) 3836
38.4%
2024-01-10T06:51:14.045210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 10000
25.0%
3 9891
24.7%
1 6079
15.2%
0 3376
 
8.4%
2 2883
 
7.2%
5 2299
 
5.7%
4 2185
 
5.5%
9 1179
 
2.9%
7 1044
 
2.6%
6 625
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30000
75.0%
Uppercase Letter 10000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9891
33.0%
1 6079
20.3%
0 3376
 
11.3%
2 2883
 
9.6%
5 2299
 
7.7%
4 2185
 
7.3%
9 1179
 
3.9%
7 1044
 
3.5%
6 625
 
2.1%
8 439
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
H 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30000
75.0%
Latin 10000
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 9891
33.0%
1 6079
20.3%
0 3376
 
11.3%
2 2883
 
9.6%
5 2299
 
7.7%
4 2185
 
7.3%
9 1179
 
3.9%
7 1044
 
3.5%
6 625
 
2.1%
8 439
 
1.5%
Latin
ValueCountFrequency (%)
H 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 10000
25.0%
3 9891
24.7%
1 6079
15.2%
0 3376
 
8.4%
2 2883
 
7.2%
5 2299
 
5.7%
4 2185
 
5.5%
9 1179
 
2.9%
7 1044
 
2.6%
6 625
 
1.6%

GHS코드
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
GHS07
4926 
GHS08
1278 
GHS09
1118 
GHS06
815 
GHS05
764 
Other values (5)
1099 

Length

Max length5
Median length5
Mean length4.9454
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGHS07
2nd rowGHS02
3rd rowGHS05
4th rowGHS07
5th rowGHS08

Common Values

ValueCountFrequency (%)
GHS07 4926
49.3%
GHS08 1278
 
12.8%
GHS09 1118
 
11.2%
GHS06 815
 
8.2%
GHS05 764
 
7.6%
<NA> 546
 
5.5%
GHS02 463
 
4.6%
GHS03 41
 
0.4%
GHS04 37
 
0.4%
GHS01 12
 
0.1%

Length

2024-01-10T06:51:14.147835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:51:14.238800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ghs07 4926
49.3%
ghs08 1278
 
12.8%
ghs09 1118
 
11.2%
ghs06 815
 
8.2%
ghs05 764
 
7.6%
na 546
 
5.5%
ghs02 463
 
4.6%
ghs03 41
 
0.4%
ghs04 37
 
0.4%
ghs01 12
 
0.1%

유해위험세부분류
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
심한 눈 손상 또는 눈 자극성
1572 
피부 부식성 또는 자극성
1495 
급성독성-경구
1090 
특정 표적장기 독성-1회 노출
1070 
수생환경 유해성-만성
959 
Other values (23)
3814 

Length

Max length22
Median length18
Mean length11.05
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row심한 눈 손상 또는 눈 자극성
2nd row인화성 액체
3rd row금속부식성 물질
4th row급성독성-경피
5th row호흡기 과민성

Common Values

ValueCountFrequency (%)
심한 눈 손상 또는 눈 자극성 1572
15.7%
피부 부식성 또는 자극성 1495
14.9%
급성독성-경구 1090
10.9%
특정 표적장기 독성-1회 노출 1070
10.7%
수생환경 유해성-만성 959
9.6%
급성독성-흡입 617
 
6.2%
수생환경 유해성-급성 533
 
5.3%
급성독성-경피 440
 
4.4%
피부 과민성 435
 
4.3%
인화성 액체 396
 
4.0%
Other values (18) 1393
13.9%

Length

2024-01-10T06:51:14.349773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
눈 3144
 
10.6%
또는 3067
 
10.3%
자극성 3067
 
10.3%
피부 1930
 
6.5%
심한 1572
 
5.3%
손상 1572
 
5.3%
부식성 1495
 
5.0%
수생환경 1492
 
5.0%
특정 1463
 
4.9%
표적장기 1463
 
4.9%
Other values (33) 9473
31.9%

유해성 항목
Text

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:51:14.534987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length41
Mean length23.5113
Min length14

Characters and Unicode

Total characters235113
Distinct characters94
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row심한 눈 손상/눈 자극성(3.3)의 구분 2(2A)
2nd row인화성 액체(2.6)의 구분 1
3rd row금속부식성 물질(2.16)의 구분 1
4th row급성독성-경피(3.1)의 구분 4
5th row호흡기 과민성(3.4)의 구분 1(1A, 1B)
ValueCountFrequency (%)
구분 10041
21.1%
2 2581
 
5.4%
3 2032
 
4.3%
1 1985
 
4.2%
심한 1572
 
3.3%
손상/눈 1572
 
3.3%
자극성(3.3)의 1572
 
3.3%
눈 1572
 
3.3%
4 1506
 
3.2%
피부부식성/자극성(3.2)의 1495
 
3.1%
Other values (62) 21712
45.6%
2024-01-10T06:51:14.795700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37640
16.0%
성 15139
 
6.4%
) 12374
 
5.3%
( 12374
 
5.3%
3 11523
 
4.9%
구 11148
 
4.7%
1 10825
 
4.6%
. 10058
 
4.3%
분 10058
 
4.3%
의 10040
 
4.3%
Other values (84) 93934
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113156
48.1%
Space Separator 37640
 
16.0%
Decimal Number 35858
 
15.3%
Other Punctuation 16185
 
6.9%
Close Punctuation 12374
 
5.3%
Open Punctuation 12374
 
5.3%
Uppercase Letter 3916
 
1.7%
Dash Punctuation 3610
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 15139
 
13.4%
구 11148
 
9.9%
분 10058
 
8.9%
의 10040
 
8.9%
자 3915
 
3.5%
극 3881
 
3.4%
독 3871
 
3.4%
부 3449
 
3.0%
눈 3144
 
2.8%
경 3022
 
2.7%
Other values (64) 45489
40.2%
Decimal Number
ValueCountFrequency (%)
3 11523
32.1%
1 10825
30.2%
2 7170
20.0%
4 3549
 
9.9%
8 1086
 
3.0%
6 667
 
1.9%
9 399
 
1.1%
7 304
 
0.8%
5 229
 
0.6%
0 106
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 10058
62.1%
/ 3067
 
18.9%
, 3060
 
18.9%
Uppercase Letter
ValueCountFrequency (%)
A 2316
59.1%
B 1219
31.1%
C 381
 
9.7%
Space Separator
ValueCountFrequency (%)
37640
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3610
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118041
50.2%
Hangul 113156
48.1%
Latin 3916
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 15139
 
13.4%
구 11148
 
9.9%
분 10058
 
8.9%
의 10040
 
8.9%
자 3915
 
3.5%
극 3881
 
3.4%
독 3871
 
3.4%
부 3449
 
3.0%
눈 3144
 
2.8%
경 3022
 
2.7%
Other values (64) 45489
40.2%
Common
ValueCountFrequency (%)
37640
31.9%
) 12374
 
10.5%
( 12374
 
10.5%
3 11523
 
9.8%
1 10825
 
9.2%
. 10058
 
8.5%
2 7170
 
6.1%
- 3610
 
3.1%
4 3549
 
3.0%
/ 3067
 
2.6%
Other values (7) 5851
 
5.0%
Latin
ValueCountFrequency (%)
A 2316
59.1%
B 1219
31.1%
C 381
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121957
51.9%
Hangul 113156
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37640
30.9%
) 12374
 
10.1%
( 12374
 
10.1%
3 11523
 
9.4%
1 10825
 
8.9%
. 10058
 
8.2%
2 7170
 
5.9%
- 3610
 
3.0%
4 3549
 
2.9%
/ 3067
 
2.5%
Other values (10) 9767
 
8.0%
Hangul
ValueCountFrequency (%)
성 15139
 
13.4%
구 11148
 
9.9%
분 10058
 
8.9%
의 10040
 
8.9%
자 3915
 
3.5%
극 3881
 
3.4%
독 3871
 
3.4%
부 3449
 
3.0%
눈 3144
 
2.8%
경 3022
 
2.7%
Other values (64) 45489
40.2%

유해위험문구
Text

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T06:51:15.046219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length125
Mean length26.6686
Min length6

Characters and Unicode

Total characters266686
Distinct characters151
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row눈에 심한 자극을 일으킴
2nd row극인화성 액체 및 증기
3rd row금속을 부식시킬 수 있음
4th row피부와 접촉하면 유해함
5th row흡입 시 알레르기성 반응, 천식 또는 호흡 곤란 등을 일으킬 수 있음
ValueCountFrequency (%)
일으킴 3288
 
4.8%
자극을 3141
 
4.6%
있음 2366
 
3.5%
일으킬 2360
 
3.5%
수 2262
 
3.3%
의해 2066
 
3.0%
눈에 1953
 
2.9%
심한 1895
 
2.8%
유독함 1703
 
2.5%
유해함 1538
 
2.2%
Other values (128) 45801
67.0%
2024-01-10T06:51:15.406018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58373
 
21.9%
에 8909
 
3.3%
으 8705
 
3.3%
을 8639
 
3.2%
일 7959
 
3.0%
기 6472
 
2.4%
는 5833
 
2.2%
한 5705
 
2.1%
다 4671
 
1.8%
유 3875
 
1.5%
Other values (141) 147545
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197949
74.2%
Space Separator 58373
 
21.9%
Other Punctuation 4250
 
1.6%
Close Punctuation 2925
 
1.1%
Open Punctuation 2925
 
1.1%
Decimal Number 264
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 8909
 
4.5%
으 8705
 
4.4%
을 8639
 
4.4%
일 7959
 
4.0%
기 6472
 
3.3%
는 5833
 
2.9%
한 5705
 
2.9%
다 4671
 
2.4%
유 3875
 
2.0%
적 3828
 
1.9%
Other values (134) 133353
67.4%
Other Punctuation
ValueCountFrequency (%)
. 2982
70.2%
, 1178
 
27.7%
; 90
 
2.1%
Space Separator
ValueCountFrequency (%)
58373
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2925
100.0%
Decimal Number
ValueCountFrequency (%)
1 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197949
74.2%
Common 68737
 
25.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 8909
 
4.5%
으 8705
 
4.4%
을 8639
 
4.4%
일 7959
 
4.0%
기 6472
 
3.3%
는 5833
 
2.9%
한 5705
 
2.9%
다 4671
 
2.4%
유 3875
 
2.0%
적 3828
 
1.9%
Other values (134) 133353
67.4%
Common
ValueCountFrequency (%)
58373
84.9%
. 2982
 
4.3%
) 2925
 
4.3%
( 2925
 
4.3%
, 1178
 
1.7%
1 264
 
0.4%
; 90
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197949
74.2%
ASCII 68737
 
25.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58373
84.9%
. 2982
 
4.3%
) 2925
 
4.3%
( 2925
 
4.3%
, 1178
 
1.7%
1 264
 
0.4%
; 90
 
0.1%
Hangul
ValueCountFrequency (%)
에 8909
 
4.5%
으 8705
 
4.4%
을 8639
 
4.4%
일 7959
 
4.0%
기 6472
 
3.3%
는 5833
 
2.9%
한 5705
 
2.9%
다 4671
 
2.4%
유 3875
 
2.0%
적 3828
 
1.9%
Other values (134) 133353
67.4%

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Correlations

2024-01-10T06:51:15.481914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유해위험코드GHS코드유해위험세부분류유해성 항목유해위험문구
유해위험코드1.0001.0001.0001.0001.000
GHS코드1.0001.0000.9801.0001.000
유해위험세부분류1.0000.9801.0001.0001.000
유해성 항목1.0001.0001.0001.0001.000
유해위험문구1.0001.0001.0001.0001.000
2024-01-10T06:51:15.557318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유해위험세부분류GHS코드
유해위험세부분류1.0000.875
GHS코드0.8751.000
2024-01-10T06:51:15.621741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
GHS코드유해위험세부분류
GHS코드1.0000.875
유해위험세부분류0.8751.000

Missing values

2024-01-10T06:51:11.799151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:51:11.916274image/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

고유(CAS)번호영문국문유해위험코드GHS코드유해위험세부분류유해성 항목유해위험문구Unnamed: 8Unnamed: 9
4347650-84-02,4-Dichlorobenzoic acid<NA>H319GHS07심한 눈 손상 또는 눈 자극성심한 눈 손상/눈 자극성(3.3)의 구분 2(2A)눈에 심한 자극을 일으킴<NA><NA>
39194625-43-4N-Methylisobutylamine<NA>H224GHS02인화성 액체인화성 액체(2.6)의 구분 1극인화성 액체 및 증기<NA><NA>
68361310-73-2Sodium,hydroxide수산화나트륨H290GHS05금속부식성 물질금속부식성 물질(2.16)의 구분 1금속을 부식시킬 수 있음<NA><NA>
43961461-58-5Cyanoguanidine사이아노구아니딘H312GHS07급성독성-경피급성독성-경피(3.1)의 구분 4피부와 접촉하면 유해함<NA><NA>
53051157299-02-01,3-Bis(1-isocyanato-1-methylethyl)benzene homopolymer<NA>H334GHS08호흡기 과민성호흡기 과민성(3.4)의 구분 1(1A, 1B)흡입 시 알레르기성 반응, 천식 또는 호흡 곤란 등을 일으킬 수 있음<NA><NA>
353851-28-52,4-Dinitrophenol2,4-다이나이트로페놀H331GHS06급성독성-흡입급성독성-흡입(3.1)의 구분 3흡입하면 유독함<NA><NA>
1839795-75-03,4-Dichlorotoluene3,4-다이클로로톨루엔H227<NA>인화성 액체인화성 액체(2.6)의 구분 4가연성 액체<NA><NA>
309779003-09-02Methoxyethene homopolymer<NA>H280GHS04고압가스고압가스(2.5)의 구분 1, 2, 4고압가스 포함; 가열하면 폭발할 수 있음<NA><NA>
739612166-36-8Antimony,,compound,with,scandium,(1,:,1)스칸듐과,결합한,안티모니,화합물(1,:,1)H302GHS07급성독성-경구급성독성-경구(3.1)의 구분 4삼키면 유해함<NA><NA>
907510025-87-3Phosphorus,oxychloride산화염화,인H302GHS07급성독성-경구급성독성-경구(3.1)의 구분 4삼키면 유해함<NA><NA>
고유(CAS)번호영문국문유해위험코드GHS코드유해위험세부분류유해성 항목유해위험문구Unnamed: 8Unnamed: 9
886710101-96-9Nickel,selenite니켈,셀레나이트H331GHS06급성독성-흡입급성독성-흡입(3.1)의 구분 3흡입하면 유독함<NA><NA>
3604968855-54-9Kieselguhr, soda ash flux-calcined<NA>H332GHS07급성독성-흡입급성독성-흡입(3.1)의 구분 4흡입하면 유해함<NA><NA>
251157252-83-7Bromoacetaldehyde,dimethyl,acetal브로모아세트알데하이드,다이메틸,아세탈H319GHS07심한 눈 손상 또는 눈 자극성심한 눈 손상/눈 자극성(3.3)의 구분 2(2A)눈에 심한 자극을 일으킴<NA><NA>
21622123-42-24-Hydroxy-4-methyl-2-pentanone4-하이드록시-4-메틸-2-펜타논H319GHS07심한 눈 손상 또는 눈 자극성심한 눈 손상/눈 자극성(3.3)의 구분 2(2A)눈에 심한 자극을 일으킴<NA><NA>
40513349-06-02Nickel diformate니켈 디포메이트H341GHS08생식세포 변이원성생식세포 변이원성(3.5)의 구분 2유전적인 결함을 일으킬 것으로 의심됨 (유전적인 결함을 일으키는 노출 경로를 기재한다. 단, 다른 노출경로에 의해 유전적인 결함을 일으키지 않는다는 결정적인 증거가 있는 경우에 한한다.)<NA><NA>
1522674-97-5Chlorobromomethane클로로브로모메테인H336GHS07특정 표적장기 독성-1회 노출특정 표적장기 독성-1회 노출(3.8)의 구분 3, 마취 영향졸음 또는 현기증을 일으킬 수 있음<NA><NA>
2576210034-81-8Magnesium,perchlorate과염소산,마그네슘H302GHS07급성독성-경구급성독성-경구(3.1)의 구분 4삼키면 유해함<NA><NA>
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