Overview

Dataset statistics

Number of variables21
Number of observations82
Missing cells196
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory174.6 B

Variable types

Text8
Categorical8
Numeric5

Dataset

Description화학사고 예방을 위하여 사고대비물질 및 다량사용물질의 물성정보(카스넘버, 유엔넘버, 색상, 냄새, 물리적 상태 등)와 누출방재요령 등에 관한 데이터를 제공합니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15066848/fileData.do

Alerts

제독제 is highly imbalanced (58.6%)Imbalance
유해화학물질관리번호 has 37 (45.1%) missing valuesMissing
냄새 has 2 (2.4%) missing valuesMissing
끓는점(℃) has 4 (4.9%) missing valuesMissing
인화점(℃) has 35 (42.7%) missing valuesMissing
발화점(℃) has 36 (43.9%) missing valuesMissing
폭발범위상한(UEL)(%) has 43 (52.4%) missing valuesMissing
폭발범위하한(LEL)(%) has 39 (47.6%) missing valuesMissing
가스명 has unique valuesUnique
가스명전체 has unique valuesUnique
카스넘버(CAS_NO) has unique valuesUnique
유엔넘버(UN_NO) has unique valuesUnique
인화점(℃) has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 05:56:24.847093
Analysis finished2023-12-12 05:56:25.318565
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가스명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:25.448891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.8658537
Min length2

Characters and Unicode

Total characters481
Distinct characters107
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row아크롤레인
2nd row아크릴산
3rd row클로로술폰산
4th rowm-크레졸
5th row염화시안
ValueCountFrequency (%)
메틸에틸케톤 2
 
2.4%
아크롤레인 1
 
1.2%
염소산칼륨 1
 
1.2%
테트라플루오로실리콘 1
 
1.2%
테트라클로로실리콘 1
 
1.2%
실란 1
 
1.2%
사린 1
 
1.2%
산화프로필렌 1
 
1.2%
과망간산칼륨 1
 
1.2%
과염소산칼륨 1
 
1.2%
Other values (74) 74
87.1%
2023-12-12T14:56:25.781613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 26
 
5.4%
틸 24
 
5.0%
트 22
 
4.6%
화 21
 
4.4%
산 21
 
4.4%
소 16
 
3.3%
메 14
 
2.9%
실 12
 
2.5%
에 12
 
2.5%
란 11
 
2.3%
Other values (97) 302
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
95.4%
Dash Punctuation 7
 
1.5%
Decimal Number 7
 
1.5%
Other Punctuation 4
 
0.8%
Space Separator 3
 
0.6%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
란 11
 
2.4%
Other values (88) 280
61.0%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
4 2
28.6%
2 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
95.4%
Common 21
 
4.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
란 11
 
2.4%
Other values (88) 280
61.0%
Common
ValueCountFrequency (%)
- 7
33.3%
, 3
14.3%
1 3
14.3%
3
14.3%
4 2
 
9.5%
2 1
 
4.8%
/ 1
 
4.8%
3 1
 
4.8%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
95.4%
ASCII 22
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
란 11
 
2.4%
Other values (88) 280
61.0%
ASCII
ValueCountFrequency (%)
- 7
31.8%
, 3
13.6%
1 3
13.6%
3
13.6%
4 2
 
9.1%
2 1
 
4.5%
/ 1
 
4.5%
3 1
 
4.5%
m 1
 
4.5%

가스명전체
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:25.984246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length22.5
Min length9

Characters and Unicode

Total characters1845
Distinct characters147
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row아크롤레인 (Acrolein)
2nd row아크릴산 (Acrylic acid)
3rd row클로로술폰산(Chlorosulfuric acid)
4th rowm-크레졸(m-Cresol)
5th row염화시안(Cyanogen chloride)
ValueCountFrequency (%)
chloride 5
 
3.6%
acid 5
 
3.6%
ketone 3
 
2.2%
chlorate 3
 
2.2%
oxide 3
 
2.2%
ethyl 3
 
2.2%
peroxide 2
 
1.5%
tetrachloride 2
 
1.5%
nitrate 2
 
1.5%
과염소산칼륨(potassium 1
 
0.7%
Other values (108) 108
78.8%
2023-12-12T14:56:26.335513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 143
 
7.8%
i 103
 
5.6%
o 95
 
5.1%
l 85
 
4.6%
) 81
 
4.4%
( 81
 
4.4%
r 77
 
4.2%
n 74
 
4.0%
a 72
 
3.9%
t 64
 
3.5%
Other values (137) 970
52.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1055
57.2%
Other Letter 459
24.9%
Close Punctuation 81
 
4.4%
Open Punctuation 81
 
4.4%
Uppercase Letter 81
 
4.4%
Space Separator 55
 
3.0%
Dash Punctuation 13
 
0.7%
Decimal Number 13
 
0.7%
Other Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
염 11
 
2.4%
Other values (88) 280
61.0%
Lowercase Letter
ValueCountFrequency (%)
e 143
13.6%
i 103
9.8%
o 95
9.0%
l 85
 
8.1%
r 77
 
7.3%
n 74
 
7.0%
a 72
 
6.8%
t 64
 
6.1%
h 61
 
5.8%
y 48
 
4.5%
Other values (13) 233
22.1%
Uppercase Letter
ValueCountFrequency (%)
T 12
14.8%
P 11
13.6%
S 10
12.3%
M 10
12.3%
H 9
11.1%
N 6
7.4%
D 4
 
4.9%
E 4
 
4.9%
C 3
 
3.7%
F 3
 
3.7%
Other values (6) 9
11.1%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
4 3
23.1%
3 2
 
15.4%
2 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1136
61.6%
Hangul 459
24.9%
Common 250
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
염 11
 
2.4%
Other values (88) 280
61.0%
Latin
ValueCountFrequency (%)
e 143
12.6%
i 103
 
9.1%
o 95
 
8.4%
l 85
 
7.5%
r 77
 
6.8%
n 74
 
6.5%
a 72
 
6.3%
t 64
 
5.6%
h 61
 
5.4%
y 48
 
4.2%
Other values (29) 314
27.6%
Common
ValueCountFrequency (%)
) 81
32.4%
( 81
32.4%
55
22.0%
- 13
 
5.2%
1 6
 
2.4%
, 6
 
2.4%
4 3
 
1.2%
3 2
 
0.8%
2 2
 
0.8%
/ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1386
75.1%
Hangul 459
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 143
 
10.3%
i 103
 
7.4%
o 95
 
6.9%
l 85
 
6.1%
) 81
 
5.8%
( 81
 
5.8%
r 77
 
5.6%
n 74
 
5.3%
a 72
 
5.2%
t 64
 
4.6%
Other values (39) 511
36.9%
Hangul
ValueCountFrequency (%)
로 26
 
5.7%
틸 24
 
5.2%
트 22
 
4.8%
화 21
 
4.6%
산 21
 
4.6%
소 16
 
3.5%
메 14
 
3.1%
실 12
 
2.6%
에 12
 
2.6%
염 11
 
2.4%
Other values (88) 280
61.0%

카스넘버(CAS_NO)
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:26.583043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.4146341
Min length7

Characters and Unicode

Total characters690
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

Unique82 ?
Unique (%)100.0%

Sample

1st row107-02-8
2nd row1979-10-07
3rd row7790-94-5
4th row108-39-4
5th row506-77-4
ValueCountFrequency (%)
107-02-8 1
 
1.2%
7775-09-09 1
 
1.2%
7783-61-1 1
 
1.2%
10026-04-7 1
 
1.2%
7803-62-5 1
 
1.2%
107-44-8 1
 
1.2%
75-56-9 1
 
1.2%
7722-64-7 1
 
1.2%
7778-74-7 1
 
1.2%
7757-79-1 1
 
1.2%
Other values (72) 72
87.8%
2023-12-12T14:56:27.232124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 164
23.8%
7 95
13.8%
0 65
 
9.4%
1 61
 
8.8%
4 54
 
7.8%
9 49
 
7.1%
3 48
 
7.0%
5 46
 
6.7%
8 41
 
5.9%
6 35
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 526
76.2%
Dash Punctuation 164
 
23.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 95
18.1%
0 65
12.4%
1 61
11.6%
4 54
10.3%
9 49
9.3%
3 48
9.1%
5 46
8.7%
8 41
7.8%
6 35
 
6.7%
2 32
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 164
23.8%
7 95
13.8%
0 65
 
9.4%
1 61
 
8.8%
4 54
 
7.8%
9 49
 
7.1%
3 48
 
7.0%
5 46
 
6.7%
8 41
 
5.9%
6 35
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 164
23.8%
7 95
13.8%
0 65
 
9.4%
1 61
 
8.8%
4 54
 
7.8%
9 49
 
7.1%
3 48
 
7.0%
5 46
 
6.7%
8 41
 
5.9%
6 35
 
5.1%

유엔넘버(UN_NO)
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:27.519212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length5.0243902
Min length3

Characters and Unicode

Total characters412
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row1092
2nd row2218
3rd row1754
4th row2076(액)3455(고)
5th row1589
ValueCountFrequency (%)
1092 1
 
1.2%
1495 1
 
1.2%
1859 1
 
1.2%
1818 1
 
1.2%
2203 1
 
1.2%
2810 1
 
1.2%
1280 1
 
1.2%
1490 1
 
1.2%
1489 1
 
1.2%
1486 1
 
1.2%
Other values (72) 72
87.8%
2023-12-12T14:56:27.981330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 106
25.7%
2 55
13.3%
0 44
10.7%
9 34
 
8.3%
8 34
 
8.3%
3 31
 
7.5%
4 26
 
6.3%
6 24
 
5.8%
5 21
 
5.1%
7 16
 
3.9%
Other values (5) 21
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 391
94.9%
Other Punctuation 15
 
3.6%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Letter 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 106
27.1%
2 55
14.1%
0 44
11.3%
9 34
 
8.7%
8 34
 
8.7%
3 31
 
7.9%
4 26
 
6.6%
6 24
 
6.1%
5 21
 
5.4%
7 16
 
4.1%
Other Letter
ValueCountFrequency (%)
액 1
50.0%
고 1
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 410
99.5%
Hangul 2
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 106
25.9%
2 55
13.4%
0 44
10.7%
9 34
 
8.3%
8 34
 
8.3%
3 31
 
7.6%
4 26
 
6.3%
6 24
 
5.9%
5 21
 
5.1%
7 16
 
3.9%
Other values (3) 19
 
4.6%
Hangul
ValueCountFrequency (%)
액 1
50.0%
고 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410
99.5%
Hangul 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 106
25.9%
2 55
13.4%
0 44
10.7%
9 34
 
8.3%
8 34
 
8.3%
3 31
 
7.6%
4 26
 
6.3%
6 24
 
5.9%
5 21
 
5.1%
7 16
 
3.9%
Other values (3) 19
 
4.6%
Hangul
ValueCountFrequency (%)
액 1
50.0%
고 1
50.0%

유해화학물질관리번호
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing37
Missing (%)45.1%
Memory size788.0 B
2023-12-12T14:56:28.240246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length14.355556
Min length12

Characters and Unicode

Total characters646
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row97-1-168(유독물질)
2nd row97-1-2774(유독물질)
3rd row97-1-268(유독물질)
4th row97-1-204(유독물질)
5th row97-1-161(유독물질)
ValueCountFrequency (%)
97-1-90(유독물질 2
 
4.4%
97-1-198(유독물질 2
 
4.4%
2010-1-611(유독물질 1
 
2.2%
97-1-298(유독물질 1
 
2.2%
2001-1-519(유독물질 1
 
2.2%
97-1-313(유독물질 1
 
2.2%
97-1-136(유독물질 1
 
2.2%
97-1-241(유독물질 1
 
2.2%
97-1-246(유독물질 1
 
2.2%
97-1-12(유독물질 1
 
2.2%
Other values (33) 33
73.3%
2023-12-12T14:56:28.638694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
14.2%
1 73
11.3%
9 53
8.2%
물 46
7.1%
) 46
7.1%
질 46
7.1%
( 46
7.1%
유 45
 
7.0%
독 45
 
7.0%
7 41
 
6.3%
Other values (9) 113
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
43.0%
Other Letter 184
28.5%
Dash Punctuation 92
 
14.2%
Close Punctuation 46
 
7.1%
Open Punctuation 46
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 73
26.3%
9 53
19.1%
7 41
14.7%
0 27
 
9.7%
2 27
 
9.7%
4 13
 
4.7%
3 13
 
4.7%
8 11
 
4.0%
5 11
 
4.0%
6 9
 
3.2%
Other Letter
ValueCountFrequency (%)
물 46
25.0%
질 46
25.0%
유 45
24.5%
독 45
24.5%
제 1
 
0.5%
한 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
71.5%
Hangul 184
 
28.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
19.9%
1 73
15.8%
9 53
11.5%
) 46
10.0%
( 46
10.0%
7 41
8.9%
0 27
 
5.8%
2 27
 
5.8%
4 13
 
2.8%
3 13
 
2.8%
Other values (3) 31
 
6.7%
Hangul
ValueCountFrequency (%)
물 46
25.0%
질 46
25.0%
유 45
24.5%
독 45
24.5%
제 1
 
0.5%
한 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 462
71.5%
Hangul 184
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
19.9%
1 73
15.8%
9 53
11.5%
) 46
10.0%
( 46
10.0%
7 41
8.9%
0 27
 
5.8%
2 27
 
5.8%
4 13
 
2.8%
3 13
 
2.8%
Other values (3) 31
 
6.7%
Hangul
ValueCountFrequency (%)
물 46
25.0%
질 46
25.0%
유 45
24.5%
독 45
24.5%
제 1
 
0.5%
한 1
 
0.5%

색상
Categorical

Distinct25
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size788.0 B
무색
45 
무색, 흰색
5 
무색, 연한 노란색
5 
무색에서 노란색
 
3
흰색
 
2
Other values (20)
22 

Length

Max length20
Median length2
Mean length4.9268293
Min length2

Unique

Unique18 ?
Unique (%)22.0%

Sample

1st row무색, 연한 노란색
2nd row액체
3rd row무색, 연한노란색
4th row무색, 연한 노란색
5th row무색

Common Values

ValueCountFrequency (%)
무색 45
54.9%
무색, 흰색 5
 
6.1%
무색, 연한 노란색 5
 
6.1%
무색에서 노란색 3
 
3.7%
흰색 2
 
2.4%
진한 보라색 2
 
2.4%
무색, 노란색 2
 
2.4%
무색, 연한노란색 1
 
1.2%
무색, 엷은 노란색, 연한 녹색 1
 
1.2%
무색에서 노란색 또는 진빨강 1
 
1.2%
Other values (15) 15
 
18.3%

Length

2023-12-12T14:56:28.782151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무색 66
48.5%
노란색 15
 
11.0%
연한 9
 
6.6%
흰색 9
 
6.6%
무색에서 5
 
3.7%
또는 4
 
2.9%
진한 2
 
1.5%
보라색 2
 
1.5%
있는 1
 
0.7%
빨간색 1
 
0.7%
Other values (22) 22
 
16.2%

냄새
Text

MISSING 

Distinct47
Distinct (%)58.8%
Missing2
Missing (%)2.4%
Memory size788.0 B
2023-12-12T14:56:29.012696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length8.5625
Min length2

Characters and Unicode

Total characters685
Distinct characters100
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)53.8%

Sample

1st row자극적이고, 매캐한, 역겨운, 톡 쏘는, 숨 막히는 냄새
2nd row특유의 매캐한 냄새
3rd row자극성 냄새
4th row페놀 냄새, 달콤한 냄새
5th row자극적인 냄새
ValueCountFrequency (%)
냄새 73
35.4%
자극적인 25
 
12.1%
무취 14
 
6.8%
달콤한 11
 
5.3%
자극적 5
 
2.4%
암모니아 5
 
2.4%
쏘는 4
 
1.9%
톡 4
 
1.9%
매캐한 4
 
1.9%
특유의 2
 
1.0%
Other values (48) 59
28.6%
2023-12-12T14:56:29.367501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
18.4%
냄 78
 
11.4%
새 78
 
11.4%
자 33
 
4.8%
적 33
 
4.8%
극 33
 
4.8%
인 28
 
4.1%
한 25
 
3.6%
, 23
 
3.4%
취 14
 
2.0%
Other values (90) 214
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 534
78.0%
Space Separator 126
 
18.4%
Other Punctuation 23
 
3.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
냄 78
14.6%
새 78
14.6%
자 33
 
6.2%
적 33
 
6.2%
극 33
 
6.2%
인 28
 
5.2%
한 25
 
4.7%
취 14
 
2.6%
무 14
 
2.6%
달 12
 
2.2%
Other values (86) 186
34.8%
Space Separator
ValueCountFrequency (%)
126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 534
78.0%
Common 151
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
냄 78
14.6%
새 78
14.6%
자 33
 
6.2%
적 33
 
6.2%
극 33
 
6.2%
인 28
 
5.2%
한 25
 
4.7%
취 14
 
2.6%
무 14
 
2.6%
달 12
 
2.2%
Other values (86) 186
34.8%
Common
ValueCountFrequency (%)
126
83.4%
, 23
 
15.2%
( 1
 
0.7%
) 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 534
78.0%
ASCII 151
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
83.4%
, 23
 
15.2%
( 1
 
0.7%
) 1
 
0.7%
Hangul
ValueCountFrequency (%)
냄 78
14.6%
새 78
14.6%
자 33
 
6.2%
적 33
 
6.2%
극 33
 
6.2%
인 28
 
5.2%
한 25
 
4.7%
취 14
 
2.6%
무 14
 
2.6%
달 12
 
2.2%
Other values (86) 186
34.8%

물리적 상태
Categorical

Distinct21
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
액체
36 
기체
14 
고체
9 
고체(결정체)
 
2
기체, 압축액화가스
 
2
Other values (16)
19 

Length

Max length16
Median length2
Mean length3.8536585
Min length2

Unique

Unique13 ?
Unique (%)15.9%

Sample

1st row액체
2nd row액체
3rd row액체
4th row액체
5th row기체, 액체(＜12.8℃)

Common Values

ValueCountFrequency (%)
액체 36
43.9%
기체 14
 
17.1%
고체 9
 
11.0%
고체(결정체) 2
 
2.4%
기체, 압축액화가스 2
 
2.4%
기체(가스) 2
 
2.4%
가스 2
 
2.4%
고체(결정체, 분말) 2
 
2.4%
결정성 고체 1
 
1.2%
액화가스 1
 
1.2%
Other values (11) 11
 
13.4%

Length

2023-12-12T14:56:29.485481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
액체 38
38.8%
기체 18
18.4%
고체 11
 
11.2%
고체(결정체 4
 
4.1%
가스 3
 
3.1%
분말 3
 
3.1%
압축액화가스 2
 
2.0%
기체(가스 2
 
2.0%
민감 1
 
1.0%
액체(<2.87℃ 1
 
1.0%
Other values (15) 15
 
15.3%

화학물질군
Text

Distinct54
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:29.659052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length12.560976
Min length6

Characters and Unicode

Total characters1030
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)48.8%

Sample

1st row - 알데하이드류- 지방족 불포화 탄화수소
2nd row - 카복실산류
3rd row - 산화합물류
4th row - 페놀류 - 크레졸류
5th row - 시안화 할로겐류
ValueCountFrequency (%)
102
41.5%
아민류 7
 
2.8%
산화제류 7
 
2.8%
무기 7
 
2.8%
클로로실레인류 6
 
2.4%
지방족 6
 
2.4%
탄화수소류 5
 
2.0%
불포화 4
 
1.6%
강산성류 3
 
1.2%
아질산염류 3
 
1.2%
Other values (68) 96
39.0%
2023-12-12T14:56:29.945971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
29.8%
- 103
 
10.0%
류 94
 
9.1%
화 54
 
5.2%
산 29
 
2.8%
로 21
 
2.0%
물 18
 
1.7%
아 16
 
1.6%
소 16
 
1.6%
기 15
 
1.5%
Other values (96) 357
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
57.2%
Space Separator 307
29.8%
Dash Punctuation 103
 
10.0%
Lowercase Letter 28
 
2.7%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 94
 
16.0%
화 54
 
9.2%
산 29
 
4.9%
로 21
 
3.6%
물 18
 
3.1%
아 16
 
2.7%
소 16
 
2.7%
기 15
 
2.5%
제 15
 
2.5%
염 11
 
1.9%
Other values (80) 300
50.9%
Lowercase Letter
ValueCountFrequency (%)
l 4
14.3%
a 4
14.3%
o 2
7.1%
r 2
7.1%
g 2
7.1%
n 2
7.1%
m 2
7.1%
e 2
7.1%
t 2
7.1%
i 2
7.1%
Other values (2) 4
14.3%
Space Separator
ValueCountFrequency (%)
307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
57.2%
Common 411
39.9%
Latin 30
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 94
 
16.0%
화 54
 
9.2%
산 29
 
4.9%
로 21
 
3.6%
물 18
 
3.1%
아 16
 
2.7%
소 16
 
2.7%
기 15
 
2.5%
제 15
 
2.5%
염 11
 
1.9%
Other values (80) 300
50.9%
Latin
ValueCountFrequency (%)
l 4
13.3%
a 4
13.3%
o 2
 
6.7%
O 2
 
6.7%
r 2
 
6.7%
g 2
 
6.7%
n 2
 
6.7%
m 2
 
6.7%
e 2
 
6.7%
t 2
 
6.7%
Other values (3) 6
20.0%
Common
ValueCountFrequency (%)
307
74.7%
- 103
 
25.1%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
57.2%
ASCII 441
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
69.6%
- 103
 
23.4%
l 4
 
0.9%
a 4
 
0.9%
o 2
 
0.5%
O 2
 
0.5%
r 2
 
0.5%
g 2
 
0.5%
n 2
 
0.5%
m 2
 
0.5%
Other values (6) 11
 
2.5%
Hangul
ValueCountFrequency (%)
류 94
 
16.0%
화 54
 
9.2%
산 29
 
4.9%
로 21
 
3.6%
물 18
 
3.1%
아 16
 
2.7%
소 16
 
2.7%
기 15
 
2.5%
제 15
 
2.5%
염 11
 
1.9%
Other values (80) 300
50.9%

국내규제
Categorical

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
· 사고대비물질· 유독물질
39 
· 사고대비물질
35 
· 유독물질
 
3
· 유독물질- 사고대비물질
 
2
· 유독물질· 사고대비물질
 
2

Length

Max length20
Median length14
Mean length11.219512
Min length6

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row· 유독물질- 사고대비물질
2nd row· 사고대비물질
3rd row· 유독물질- 사고대비물질
4th row· 유독물질· 사고대비물질
5th row· 유독물질· 사고대비물질

Common Values

ValueCountFrequency (%)
· 사고대비물질· 유독물질 39
47.6%
· 사고대비물질 35
42.7%
· 유독물질 3
 
3.7%
· 유독물질- 사고대비물질 2
 
2.4%
· 유독물질· 사고대비물질 2
 
2.4%
· 사고대비물질· 유독물질· 제한물질 1
 
1.2%

Length

2023-12-12T14:56:30.110106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:30.222036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
· 82
39.2%
유독물질 44
21.1%
사고대비물질· 40
19.1%
사고대비물질 39
18.7%
유독물질· 3
 
1.4%
제한물질 1
 
0.5%

끓는점(℃)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)96.2%
Missing4
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean126.79872
Minimum-188.11
Maximum1496
Zeros0
Zeros (%)0.0%
Negative17
Negative (%)20.7%
Memory size870.0 B
2023-12-12T14:56:30.358520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-188.11
5-th percentile-93.625
Q18.975
median76.05
Q3131.3
95-th percentile472.441
Maximum1496
Range1684.11
Interquartile range (IQR)122.325

Descriptive statistics

Standard deviation285.12441
Coefficient of variation (CV)2.248638
Kurtosis12.478704
Mean126.79872
Median Absolute Deviation (MAD)64
Skewness3.3530203
Sum9890.3
Variance81295.931
MonotonicityNot monotonic
2023-12-12T14:56:30.475548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.0 2
 
2.4%
34.0 2
 
2.4%
400.0 2
 
2.4%
101.75 1
 
1.2%
8.3 1
 
1.2%
-87.7 1
 
1.2%
105.6 1
 
1.2%
76.1 1
 
1.2%
380.0 1
 
1.2%
147.0 1
 
1.2%
Other values (65) 65
79.3%
(Missing) 4
 
4.9%
ValueCountFrequency (%)
-188.11 1
1.2%
-151.7 1
1.2%
-112.0 1
1.2%
-100.0 1
1.2%
-92.5 1
1.2%
-88.5 1
1.2%
-87.7 1
1.2%
-85.05 1
1.2%
-77.0 1
1.2%
-76.0 1
1.2%
ValueCountFrequency (%)
1496.0 1
1.2%
1390.0 1
1.2%
1100.0 1
1.2%
882.94 1
1.2%
400.0 2
2.4%
380.0 1
1.2%
337.0 1
1.2%
300.0 1
1.2%
251.0 1
1.2%
238.3 1
1.2%

인화점(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)93.6%
Missing35
Missing (%)42.7%
Infinite0
Infinite (%)0.0%
Mean16.217872
Minimum-250
Maximum400
Zeros1
Zeros (%)1.2%
Negative25
Negative (%)30.5%
Memory size870.0 B
2023-12-12T14:56:30.602896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-250
5-th percentile-59.2
Q1-22.5
median-3
Q342.2
95-th percentile146.51
Maximum400
Range650
Interquartile range (IQR)64.7

Descriptive statistics

Standard deviation88.16024
Coefficient of variation (CV)5.435993
Kurtosis8.3153113
Mean16.217872
Median Absolute Deviation (MAD)24
Skewness1.4383487
Sum762.24
Variance7772.2279
MonotonicityNot monotonic
2023-12-12T14:56:30.743379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
-6.7 2
 
2.4%
-54.0 2
 
2.4%
6.0 2
 
2.4%
-15.0 1
 
1.2%
-8.0 1
 
1.2%
-25.56 1
 
1.2%
-10.0 1
 
1.2%
8.0 1
 
1.2%
88.0 1
 
1.2%
35.0 1
 
1.2%
Other values (34) 34
41.5%
(Missing) 35
42.7%
ValueCountFrequency (%)
-250.0 1
1.2%
-90.0 1
1.2%
-61.0 1
1.2%
-55.0 1
1.2%
-54.0 2
2.4%
-37.0 1
1.2%
-28.0 1
1.2%
-27.0 1
1.2%
-26.0 1
1.2%
-25.56 1
1.2%
ValueCountFrequency (%)
400.0 1
1.2%
160.0 1
1.2%
155.0 1
1.2%
126.7 1
1.2%
106.1 1
1.2%
88.0 1
1.2%
86.0 1
1.2%
82.2 1
1.2%
79.0 1
1.2%
69.0 1
1.2%

발화점(℃)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)89.1%
Missing36
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean355.39109
Minimum38
Maximum715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T14:56:30.862782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile41
Q1206.5
median414.15
Q3480
95-th percentile593.25
Maximum715
Range677
Interquartile range (IQR)273.5

Descriptive statistics

Standard deviation178.55415
Coefficient of variation (CV)0.50241594
Kurtosis-0.80577172
Mean355.39109
Median Absolute Deviation (MAD)124
Skewness-0.30428995
Sum16347.99
Variance31881.583
MonotonicityNot monotonic
2023-12-12T14:56:31.024874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
38.0 3
 
3.7%
430.0 2
 
2.4%
480.0 2
 
2.4%
429.0 2
 
2.4%
472.2 1
 
1.2%
465.0 1
 
1.2%
490.0 1
 
1.2%
60.0 1
 
1.2%
528.0 1
 
1.2%
418.3 1
 
1.2%
Other values (31) 31
37.8%
(Missing) 36
43.9%
ValueCountFrequency (%)
38.0 3
3.7%
50.0 1
 
1.2%
58.0 1
 
1.2%
60.0 1
 
1.2%
148.9 1
 
1.2%
185.0 1
 
1.2%
188.0 1
 
1.2%
190.0 1
 
1.2%
196.0 1
 
1.2%
202.0 1
 
1.2%
ValueCountFrequency (%)
715.0 1
1.2%
625.0 1
1.2%
601.0 1
1.2%
570.0 1
1.2%
558.9 1
1.2%
555.5 1
1.2%
538.0 1
1.2%
528.0 1
1.2%
505.0 1
1.2%
490.6 1
1.2%

폭발범위상한(UEL)(%)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)94.9%
Missing43
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean36.655385
Minimum0.31
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T14:56:31.154770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile2.295
Q111.55
median21.8
Q356
95-th percentile99.1
Maximum100
Range99.69
Interquartile range (IQR)44.45

Descriptive statistics

Standard deviation32.98762
Coefficient of variation (CV)0.89993927
Kurtosis-0.6037204
Mean36.655385
Median Absolute Deviation (MAD)14.2
Skewness0.90551207
Sum1429.56
Variance1088.1831
MonotonicityNot monotonic
2023-12-12T14:56:31.288894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
16.0 2
 
2.4%
100.0 2
 
2.4%
7.1 1
 
1.2%
11.9 1
 
1.2%
34.0 1
 
1.2%
12.5 1
 
1.2%
10.0 1
 
1.2%
96.0 1
 
1.2%
60.0 1
 
1.2%
37.9 1
 
1.2%
Other values (27) 27
32.9%
(Missing) 43
52.4%
ValueCountFrequency (%)
0.31 1
1.2%
1.35 1
1.2%
2.4 1
1.2%
7.0 1
1.2%
7.1 1
1.2%
8.0 1
1.2%
9.5 1
1.2%
10.0 1
1.2%
11.4 1
1.2%
11.5 1
1.2%
ValueCountFrequency (%)
100.0 2
2.4%
99.0 1
1.2%
97.0 1
1.2%
96.0 1
1.2%
90.5 1
1.2%
88.0 1
1.2%
73.0 1
1.2%
60.0 1
1.2%
57.0 1
1.2%
55.0 1
1.2%

폭발범위하한(LEL)(%)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)74.4%
Missing39
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean3.6411163
Minimum0.028
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T14:56:31.413235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.028
5-th percentile0.81
Q11.25
median2.5
Q35.6
95-th percentile8.092
Maximum18
Range17.972
Interquartile range (IQR)4.35

Descriptive statistics

Standard deviation3.4291957
Coefficient of variation (CV)0.94179791
Kurtosis6.2555932
Mean3.6411163
Median Absolute Deviation (MAD)1.4
Skewness2.1205135
Sum156.568
Variance11.759383
MonotonicityNot monotonic
2023-12-12T14:56:31.527162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2.0 3
 
3.7%
6.0 2
 
2.4%
1.4 2
 
2.4%
5.6 2
 
2.4%
1.2 2
 
2.4%
1.0 2
 
2.4%
3.0 2
 
2.4%
2.5 2
 
2.4%
7.0 2
 
2.4%
1.1 2
 
2.4%
Other values (22) 22
26.8%
(Missing) 39
47.6%
ValueCountFrequency (%)
0.028 1
1.2%
0.5 1
1.2%
0.8 1
1.2%
0.9 1
1.2%
1.0 2
2.4%
1.1 2
2.4%
1.16 1
1.2%
1.2 2
2.4%
1.3 1
1.2%
1.36 1
1.2%
ValueCountFrequency (%)
18.0 1
1.2%
11.0 1
1.2%
8.1 1
1.2%
8.02 1
1.2%
7.3 1
1.2%
7.2 1
1.2%
7.0 2
2.4%
6.0 2
2.4%
5.6 2
2.4%
4.3 1
1.2%

그림문자 (GHS)
Text

Distinct54
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-12T14:56:31.754247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length16.54878
Min length4

Characters and Unicode

Total characters1357
Distinct characters31
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)43.9%

Sample

1st row인화성등금속 부식성 등급성독성호흡기 과민성 등수생환경 유해성
2nd row인화성등금속 부식성 등급성독성수생환경유해성
3rd row금속 부식성 등경고
4th row금속부식성 등급성독성
5th row고압가스금속 부식성 등급성복성수생환경 유해성
ValueCountFrequency (%)
인화성 39
14.1%
과민성 37
13.4%
등 30
10.8%
부식성 29
10.5%
유해성 16
 
5.8%
등급성독성 15
 
5.4%
등급성독성호흡기 14
 
5.1%
금속 10
 
3.6%
등금속 10
 
3.6%
등경고 8
 
2.9%
Other values (38) 69
24.9%
2023-12-12T14:56:32.149213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 259
19.1%
195
14.4%
등 113
 
8.3%
화 55
 
4.1%
급 55
 
4.1%
독 53
 
3.9%
인 43
 
3.2%
경 43
 
3.2%
고 41
 
3.0%
호 37
 
2.7%
Other values (21) 463
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1162
85.6%
Space Separator 195
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 259
22.3%
등 113
 
9.7%
화 55
 
4.7%
급 55
 
4.7%
독 53
 
4.6%
인 43
 
3.7%
경 43
 
3.7%
고 41
 
3.5%
호 37
 
3.2%
흡 37
 
3.2%
Other values (20) 426
36.7%
Space Separator
ValueCountFrequency (%)
195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1162
85.6%
Common 195
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 259
22.3%
등 113
 
9.7%
화 55
 
4.7%
급 55
 
4.7%
독 53
 
4.6%
인 43
 
3.7%
경 43
 
3.7%
고 41
 
3.5%
호 37
 
3.2%
흡 37
 
3.2%
Other values (20) 426
36.7%
Common
ValueCountFrequency (%)
195
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1162
85.6%
ASCII 195
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 259
22.3%
등 113
 
9.7%
화 55
 
4.7%
급 55
 
4.7%
독 53
 
4.6%
인 43
 
3.7%
경 43
 
3.7%
고 41
 
3.5%
호 37
 
3.2%
흡 37
 
3.2%
Other values (20) 426
36.7%
ASCII
ValueCountFrequency (%)
195
100.0%

소화제
Categorical

Distinct31
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
· 알콜포말· 이산화탄소· 물분무· 건조한 모래, 흙
21 
· 알코올 포말· 이산화탄소· 물분무· 건조한 모래, 흙
8 
· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙
7 
· 알코올 포말· 이산화탄소· 물분무· 건조한 모래. 흙
7 
· 알코올 포말· 이산화탄소· 물 분무
7 
Other values (26)
32 

Length

Max length52
Median length47
Mean length29.646341
Min length13

Unique

Unique23 ?
Unique (%)28.0%

Sample

1st row· 이산화탄소분말 소화약제분무 / 무상주수내알코올포
2nd row· 알코올 포말이산화탄소물 분무건조한 모래, 흙
3rd row· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙
4th row· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙
5th row· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙

Common Values

ValueCountFrequency (%)
· 알콜포말· 이산화탄소· 물분무· 건조한 모래, 흙 21
25.6%
· 알코올 포말· 이산화탄소· 물분무· 건조한 모래, 흙 8
 
9.8%
· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙 7
 
8.5%
· 알코올 포말· 이산화탄소· 물분무· 건조한 모래. 흙 7
 
8.5%
· 알코올 포말· 이산화탄소· 물 분무 7
 
8.5%
· 알콜 포말· 이산화탄소· 물분무· 건조한 모래, 흙 5
 
6.1%
· 알코올 포말· 이산화탄소· 물분무 2
 
2.4%
· 분말 소화약제· 이산화탄소· 물 분무· 일반 포밀 2
 
2.4%
· 이산화탄소· 분말소화약제· 마른모래· 내알코올포· 분무주수 1
 
1.2%
· 이산화탄소· 분말 소화약제· 분무 또는 무상주수· 일반포말 1
 
1.2%
Other values (21) 21
25.6%

Length

2023-12-12T14:56:32.289361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
· 82
13.7%
이산화탄소· 76
12.7%
모래 50
 
8.3%
흙 50
 
8.3%
건조한 49
 
8.2%
물분무· 41
 
6.8%
포말· 36
 
6.0%
알코올 32
 
5.3%
알콜포말· 22
 
3.7%
물 18
 
3.0%
Other values (49) 144
24.0%

제독제
Categorical

IMBALANCE 

Distinct17
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
자료없음
63 
· 소석회
 
2
· 다량의 물
 
2
· 다량의 물· 중황산나트륨
 
2
· 다량의 물· 소석회· 탄산나트륨· 수산화나트륨
 
1
Other values (12)
12 

Length

Max length28
Median length4
Mean length6.5
Min length4

Unique

Unique13 ?
Unique (%)15.9%

Sample

1st row· 규조토에 흡수(흡수 후 연소)
2nd row자료없음
3rd row자료없음
4th row자료없음
5th row자료없음

Common Values

ValueCountFrequency (%)
자료없음 63
76.8%
· 소석회 2
 
2.4%
· 다량의 물 2
 
2.4%
· 다량의 물· 중황산나트륨 2
 
2.4%
· 다량의 물· 소석회· 탄산나트륨· 수산화나트륨 1
 
1.2%
· 과망간산칼륨· 수산화칼륨이 · 함유된 흡착제 1
 
1.2%
· 수중거품 탑을 이용한 연소법 1
 
1.2%
· 탄산염· 소석회 1
 
1.2%
· 조금씩 소각할 것 1
 
1.2%
· 다량의 물· 수산화나트륨 1
 
1.2%
Other values (7) 7
 
8.5%

Length

2023-12-12T14:56:32.412401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자료없음 63
46.3%
· 20
 
14.7%
다량의 6
 
4.4%
소석회 4
 
2.9%
물· 4
 
2.9%
수산화나트륨 3
 
2.2%
흡착제 3
 
2.2%
물 2
 
1.5%
중황산나트륨 2
 
1.5%
과망간산칼륨· 2
 
1.5%
Other values (27) 27
19.9%

소규모초기이격거리
Categorical

Distinct26
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
반경 50m
17 
반경 30m
11 
반경 100m
9 
반경 25 m
8 
반경 25m
5 
Other values (21)
32 

Length

Max length26
Median length23
Mean length8.6341463
Min length4

Unique

Unique14 ?
Unique (%)17.1%

Sample

1st row반경 100m
2nd row반경 25 m
3rd row육지반경 30m(수계 30m)
4th row반경 50m
5th row반경 300m

Common Values

ValueCountFrequency (%)
반경 50m 17
20.7%
반경 30m 11
13.4%
반경 100m 9
11.0%
반경 25 m 8
9.8%
반경 25m 5
 
6.1%
반경 30 m 4
 
4.9%
액체 : 50m 이상수계 : 반경 30m 3
 
3.7%
반경 60m 3
 
3.7%
반경 30m액체 : 50m 2
 
2.4%
반경 300m 2
 
2.4%
Other values (16) 18
22.0%

Length

2023-12-12T14:56:32.530663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
반경 84
36.4%
50m 25
 
10.8%
19
 
8.2%
m 17
 
7.4%
30m 15
 
6.5%
100m 11
 
4.8%
25 8
 
3.5%
25m 8
 
3.5%
액체 5
 
2.2%
30 4
 
1.7%
Other values (25) 35
15.2%

화재동반 운송사고 발생시
Categorical

Distinct11
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
반경 0.8km
31 
반경 0.8km 대피
14 
반경 0.8 km 대피
13 
반경 1.6 km 대피
8 
자료없음
5 
Other values (6)
11 

Length

Max length37
Median length21
Mean length10.060976
Min length4

Unique

Unique4 ?
Unique (%)4.9%

Sample

1st row반경 0.8 km 대피
2nd row반경 0.8 km 대피
3rd row반경 0.8 km 대피
4th row반경 0.8 km 대피
5th row반경 1.6 km 대피

Common Values

ValueCountFrequency (%)
반경 0.8km 31
37.8%
반경 0.8km 대피 14
17.1%
반경 0.8 km 대피 13
15.9%
반경 1.6 km 대피 8
 
9.8%
자료없음 5
 
6.1%
반경 1.6 km 4
 
4.9%
반경 1.6km 3
 
3.7%
반경 1.6(기) , 0.8(액) km 1
 
1.2%
반경 1.6(액체0.8)km 대피 1
 
1.2%
반경 1.6(액체0.8)km 1
 
1.2%

Length

2023-12-12T14:56:32.658433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
반경 78
33.3%
0.8km 45
19.2%
대피 38
16.2%
km 28
 
12.0%
0.8 14
 
6.0%
1.6 13
 
5.6%
자료없음 5
 
2.1%
4
 
1.7%
1.6km 3
 
1.3%
1.6(액체0.8)km 2
 
0.9%
Other values (4) 4
 
1.7%

대규모초기이격거리
Categorical

Distinct36
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
반경 50m
18 
반경 50 m
9 
반경 100m
8 
반경 500m
 
4
반경 25m
 
3
Other values (31)
40 

Length

Max length26
Median length23
Mean length9.2926829
Min length4

Unique

Unique24 ?
Unique (%)29.3%

Sample

1st row반경 500m
2nd row반경 25 m
3rd row육지반경 30m(수계 60m)
4th row반경 20m
5th row반경 1km

Common Values

ValueCountFrequency (%)
반경 50m 18
22.0%
반경 50 m 9
 
11.0%
반경 100m 8
 
9.8%
반경 500m 4
 
4.9%
반경 25m 3
 
3.7%
반경 100 m 3
 
3.7%
반경 300m 3
 
3.7%
반경 1000m 2
 
2.4%
반경 60m 2
 
2.4%
반경 200m 2
 
2.4%
Other values (26) 28
34.1%

Length

2023-12-12T14:56:32.794509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
반경 86
36.0%
50m 27
 
11.3%
21
 
8.8%
m 16
 
6.7%
50 9
 
3.8%
100m 9
 
3.8%
액체 6
 
2.5%
60m 6
 
2.5%
25m 5
 
2.1%
500m 4
 
1.7%
Other values (34) 50
20.9%

Sample

가스명가스명전체카스넘버(CAS_NO)유엔넘버(UN_NO)유해화학물질관리번호색상냄새물리적 상태화학물질군국내규제끓는점(℃)인화점(℃)발화점(℃)폭발범위상한(UEL)(%)폭발범위하한(LEL)(%)그림문자 (GHS)소화제제독제소규모초기이격거리화재동반 운송사고 발생시대규모초기이격거리
0아크롤레인아크롤레인 (Acrolein)107-02-8109297-1-168(유독물질)무색, 연한 노란색자극적이고, 매캐한, 역겨운, 톡 쏘는, 숨 막히는 냄새액체- 알데하이드류- 지방족 불포화 탄화수소· 유독물질- 사고대비물질56.06-26.0233.890.310.028인화성등금속 부식성 등급성독성호흡기 과민성 등수생환경 유해성· 이산화탄소분말 소화약제분무 / 무상주수내알코올포· 규조토에 흡수(흡수 후 연소)반경 100m반경 0.8 km 대피반경 500m
1아크릴산아크릴산 (Acrylic acid)1979-10-072218<NA>액체특유의 매캐한 냄새액체- 카복실산류· 사고대비물질141.049.4429.02.48.02인화성등금속 부식성 등급성독성수생환경유해성· 알코올 포말이산화탄소물 분무건조한 모래, 흙자료없음반경 25 m반경 0.8 km 대피반경 25 m
2클로로술폰산클로로술폰산(Chlorosulfuric acid)7790-94-5175497-1-2774(유독물질)무색, 연한노란색자극성 냄새액체- 산화합물류· 유독물질- 사고대비물질151.0<NA><NA><NA><NA>금속 부식성 등경고· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음육지반경 30m(수계 30m)반경 0.8 km 대피육지반경 30m(수계 60m)
3m-크레졸m-크레졸(m-Cresol)108-39-42076(액)3455(고)97-1-268(유독물질)무색, 연한 노란색페놀 냄새, 달콤한 냄새액체- 페놀류 - 크레졸류· 유독물질· 사고대비물질202.286.0558.91.351.16금속부식성 등급성독성· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음반경 50m반경 0.8 km 대피반경 20m
4염화시안염화시안(Cyanogen chloride)506-77-4158997-1-204(유독물질)무색자극적인 냄새기체, 액체(＜12.8℃)- 시안화 할로겐류· 유독물질· 사고대비물질13.0<NA><NA><NA><NA>고압가스금속 부식성 등급성복성수생환경 유해성· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음반경 300m반경 1.6 km 대피반경 1km
5디보란디보란(Diborane)19287-45-71911<NA>무색역겨운, 단 냄새, 자극적인 냄새기체, 압축액화가스- 강환원제· 사고대비물질-92.5-90.038.088.00.8인화성 등고압가스급속 부식성 등급성독성호흡기 과민성 등· 분말 소화약제· 이산화탄소· 내알코올포· 분무주수· 과망간산칼륨· 수산화칼륨이 · 함유된 흡착제반경 60m반경 1.6 km 대피반경 200m
61,1-디클로로에틸렌1,1-디클로로에틸렌(1,1-Dichloroethylene)75-35-41303<NA>무색약간 달콤한 클로로포름 냄새액체- 할로겐화 유기화학물류 - 지방족 불포화 탄화수소류· 사고대비물질31.7-25.0570.016.05.6인화성 등급성독성호흡기 과민성 등· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음반경 50m반경 0.8 km 대피반경 50m
7디클로로실란디클로로실란(Dichlorosilane)4109-96-02189<NA>무색자극적인 냄새기체- 클로로실레인류· 사고대비물질8.0-28.058.099.04.1인화성 등급성독성호흡기 과민성 등· 알코올 포말· 이산화탄소· 물 분무자료없음반경 30m반경 1.6 km 대피반경 200m
8디실란디실란(Disilane)1590-87-03161<NA>무색자극적인 냄새액화가스- 자료없음· 사고대비물질-14.30.0<NA>100.01.0인화성 등고압가스· 분말 소화약재· 이산화탄소· 분무 또는 무상주수· 수중거품 탑을 이용한 연소법반경 100m반경 0.8 km 대피반경 100m
9아세트산에틸아세트산에틸(Ethyl acetate)141-78-6117397-1-161(유독물질)무색과일냄새액체- 에스터류· 사고대비물질· 유독물질77.1-4.0426.711.52.0인화성 등경고· 알코올 포말· 이산화탄소· 물분무· 건조한 모래, 흙자료없음반경 50m반경 0.8 km 대피반경 50m
가스명가스명전체카스넘버(CAS_NO)유엔넘버(UN_NO)유해화학물질관리번호색상냄새물리적 상태화학물질군국내규제끓는점(℃)인화점(℃)발화점(℃)폭발범위상한(UEL)(%)폭발범위하한(LEL)(%)그림문자 (GHS)소화제제독제소규모초기이격거리화재동반 운송사고 발생시대규모초기이격거리
72트리클로로비닐실란트리클로로비닐실란(Trichlorovinylsilane)75-94-51305<NA>무색 또는 미색자극적인 냄새, 염산 비슷한 냄새액체- 클로로실레인류, 불포화탄화수소류· 사고대비물질90.621.0263.0<NA>3.0인화성 등금속 부식성 등급성독성· 알코올 포말· 이산화탄소· 물 분무자료없음액체 : 50m 이상수계 : 반경 30m반경 0.8km 대피액체 : 50m 이상수계 : 반경 60m
73트리에틸아민트리에틸아민(Triethylamine)121-44-81296<NA>무색, 연한 노란색암모니아 냄새, 생선냄새액체- 아민류· 사고대비물질88.66.0312.08.01.2인화성 등금속 부식성 등급성독성수생환경 유해성· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음반경 50m반경 0.8km 대피반경 50m
74트리플루오로보란트리플루오로보란(Trifluoroborane)7637-07-02100897-1-313(유독물질)무색, 습기 있는 공기에서 흰색 발연톡 쏘는 듯한 냄새기체- 플루오르화염· 사고대비물질· 유독물질-100.0<NA><NA><NA><NA>고압가스금속 부식성 등급성독성호흡기 과민성 등· 분말 소화약제· 이산화탄소· 물 분무· 일반 포밀· 소석회반경 30m반경 1.6 km 대피반경 400m
75트리메틸아민트리메틸아민(Trimethylamine)75-50-31083<NA>무색비린내, 자극성 냄새기체, 액체(<2.87℃)- 아민류· 사고대비물질2.87-6.7190.011.62.0고압가스금속 부식성 등경고· 분말 소화약제· 이산화탄소· 물 분무· 일반 포밀· 흡착제 사용기체 : 반경 100m - 액체 : 반경 50m기체 : 반경 1.6 km 대피 - 액체 : 반경 0.8 km 대피기체 : 반경 100m - 액체 : 반경 50m
76염화비닐염화비닐(Vinyl chloride)1975-01-0410862001-1-519(유독물질)무색달콤한 냄새, 에테르 냄새기체- 할로겐화류· 사고대비물질· 유독물질-13.8-61.0472.233.03.6안화성 등고압가스호흡기 과민성 등· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음반경 100m반경 1.6 km 대피반경 100m
77비닐에틸에테르비닐에틸에테르(Vinyl ethyl ether)109-92-21302<NA>무색달콤한 냄새액체- 에테르류· 사고대비물질33.0<NA>202.028.01.3인화성 등경고· 알코올 포말· 이산화탄소· 물 분무자료없음반경 500m반경 0.8km 대피반경 500m
78인화아연인화아연(Zinc phosphide)1314-84-7171497-1-241(유독물질)회색마늘냄새, 인 냄새고체(분말)- 인화물류· 사고대비물질· 유독물질1100.0<NA><NA><NA><NA>인화성 등급성독성수생환경 유해성· 알코올 포말· 이산화탄소· 물 분무· 건조한 모래, 흙자료없음고체 : 반경 25m액체 : 반경 50m반경 0.8km 대피고체 : 반경 25m액체 : 반경 50m
79수산화나트륨수산화나트륨(Sodium hydroxide)1310-73-2182397-1-136(유독물질)흰색무취고체- 염기류· 유독물질1390.0<NA><NA><NA><NA>금속 부식성 등급성독성· 폼· 이산화탄소· 물 분무(안개형)· 분말 소화약제자료없음고체 : 반경 25m자료없음고체 : 반경 25m
80자일렌자일렌(Xylene)1330-20-7130797-1-275(유독물질)무색달콤한 냄새액체- 방향족 탄화수소류· 유독물질138.018.0528.07.01.1인화성 등경고호흡기 과민성 등· 폼, 분말 소화약제· 이산화탄소· 물 분무(안개형)자료없음반경 50m자료없음반경 50m
81황산니켈황산니켈(Nickel sulfate)7786-81-430772010-1-609(유독물질)녹황색무취고체(결정체)- 산성염류· 유독물질<NA><NA><NA><NA><NA>급성독성호흡기 과민성 등수생환경 유해성· 주변 화재 성질에 적합한 물질· 건조한 모래, 흙자료없음반경 25m자료없음반경 25m