Overview

Dataset statistics

Number of variables9
Number of observations833
Missing cells723
Missing cells (%)9.6%
Duplicate rows7
Duplicate rows (%)0.8%
Total size in memory59.5 KiB
Average record size in memory73.2 B

Variable types

Numeric1
Text6
Categorical2

Dataset

Description한국산업안전보건공단에서 제공하는 화학물질 및 물리적 인자의 노출기준에 대한 목록으로
Author한국산업안전보건공단
URLhttps://www.data.go.kr/data/3038258/fileData.do

Alerts

Dataset has 7 (0.8%) duplicate rowsDuplicates
노출기준(STEL,㎎/㎥) is highly imbalanced (74.0%)Imbalance
일련번호 has 102 (12.2%) missing valuesMissing
유해물질의 명칭(국문) has 52 (6.2%) missing valuesMissing
유해물질의 명칭(영문) has 38 (4.6%) missing valuesMissing
화학식 has 93 (11.2%) missing valuesMissing
노출기준(TWA, ppm) has 106 (12.7%) missing valuesMissing
노출기준(STEL,ppm) has 175 (21.0%) missing valuesMissing
비고(CAS번호 등) has 157 (18.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:59:56.116654
Analysis finished2023-12-12 09:59:57.438847
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

MISSING 

Distinct731
Distinct (%)100.0%
Missing102
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean366
Minimum1
Maximum731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.5 KiB
2023-12-12T18:59:57.535613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.5
Q1183.5
median366
Q3548.5
95-th percentile694.5
Maximum731
Range730
Interquartile range (IQR)365

Descriptive statistics

Standard deviation211.16581
Coefficient of variation (CV)0.57695577
Kurtosis-1.2
Mean366
Median Absolute Deviation (MAD)183
Skewness0
Sum267546
Variance44591
MonotonicityStrictly increasing
2023-12-12T18:59:57.737453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
482 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
487 1
 
0.1%
488 1
 
0.1%
489 1
 
0.1%
490 1
 
0.1%
491 1
 
0.1%
492 1
 
0.1%
Other values (721) 721
86.6%
(Missing) 102
 
12.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
731 1
0.1%
730 1
0.1%
729 1
0.1%
728 1
0.1%
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%
723 1
0.1%
722 1
0.1%

유해물질의 명칭(국문)
Text

MISSING 

Distinct769
Distinct (%)98.5%
Missing52
Missing (%)6.2%
Memory size6.6 KiB
2023-12-12T18:59:58.126248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length18
Mean length7.7823303
Min length2

Characters and Unicode

Total characters6078
Distinct characters310
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

Unique762 ?
Unique (%)97.6%

Sample

1st row가솔린
2nd row개미산
3rd row게르마늄 테트라하이드라이드
4th row고형 파라핀 흄
5th row곡물분진
ValueCountFrequency (%)
메틸 29
 
2.5%
및 25
 
2.2%
에틸 15
 
1.3%
화합물 12
 
1.0%
초산 12
 
1.0%
염화 11
 
1.0%
알코올 11
 
1.0%
그 10
 
0.9%
케톤 10
 
0.9%
에틸렌 8
 
0.7%
Other values (796) 1008
87.6%
2023-12-12T18:59:58.692519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
370
 
6.1%
로 339
 
5.6%
- 202
 
3.3%
이 179
 
2.9%
트 175
 
2.9%
틸 174
 
2.9%
디 137
 
2.3%
아 131
 
2.2%
클 128
 
2.1%
화 127
 
2.1%
Other values (300) 4116
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5032
82.8%
Space Separator 370
 
6.1%
Dash Punctuation 202
 
3.3%
Decimal Number 183
 
3.0%
Close Punctuation 93
 
1.5%
Open Punctuation 93
 
1.5%
Other Punctuation 87
 
1.4%
Uppercase Letter 11
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 339
 
6.7%
이 179
 
3.6%
트 175
 
3.5%
틸 174
 
3.5%
디 137
 
2.7%
아 131
 
2.6%
클 128
 
2.5%
화 127
 
2.5%
메 124
 
2.5%
에 117
 
2.3%
Other values (277) 3401
67.6%
Lowercase Letter
ValueCountFrequency (%)
a 1
14.3%
p 1
14.3%
h 1
14.3%
i 1
14.3%
t 1
14.3%
r 1
14.3%
e 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 71
38.8%
1 56
30.6%
4 24
 
13.1%
3 16
 
8.7%
6 9
 
4.9%
5 7
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 80
92.0%
' 4
 
4.6%
% 3
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
N 8
72.7%
H 2
 
18.2%
G 1
 
9.1%
Space Separator
ValueCountFrequency (%)
370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5032
82.8%
Common 1028
 
16.9%
Latin 18
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 339
 
6.7%
이 179
 
3.6%
트 175
 
3.5%
틸 174
 
3.5%
디 137
 
2.7%
아 131
 
2.6%
클 128
 
2.5%
화 127
 
2.5%
메 124
 
2.5%
에 117
 
2.3%
Other values (277) 3401
67.6%
Common
ValueCountFrequency (%)
370
36.0%
- 202
19.6%
) 93
 
9.0%
( 93
 
9.0%
, 80
 
7.8%
2 71
 
6.9%
1 56
 
5.4%
4 24
 
2.3%
3 16
 
1.6%
6 9
 
0.9%
Other values (3) 14
 
1.4%
Latin
ValueCountFrequency (%)
N 8
44.4%
H 2
 
11.1%
G 1
 
5.6%
a 1
 
5.6%
p 1
 
5.6%
h 1
 
5.6%
i 1
 
5.6%
t 1
 
5.6%
r 1
 
5.6%
e 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5032
82.8%
ASCII 1046
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
370
35.4%
- 202
19.3%
) 93
 
8.9%
( 93
 
8.9%
, 80
 
7.6%
2 71
 
6.8%
1 56
 
5.4%
4 24
 
2.3%
3 16
 
1.5%
6 9
 
0.9%
Other values (13) 32
 
3.1%
Hangul
ValueCountFrequency (%)
로 339
 
6.7%
이 179
 
3.6%
트 175
 
3.5%
틸 174
 
3.5%
디 137
 
2.7%
아 131
 
2.6%
클 128
 
2.5%
화 127
 
2.5%
메 124
 
2.5%
에 117
 
2.3%
Other values (277) 3401
67.6%

유해물질의 명칭(영문)
Text

MISSING 

Distinct777
Distinct (%)97.7%
Missing38
Missing (%)4.6%
Memory size6.6 KiB
2023-12-12T18:59:59.043302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length49
Mean length19.172327
Min length4

Characters and Unicode

Total characters15242
Distinct characters72
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique769 ?
Unique (%)96.7%

Sample

1st rowGasoline
2nd rowFormic acid
3rd rowGermanium tetrahydride
4th rowParaffin wax fume
5th rowGrain dust
ValueCountFrequency (%)
fraction 72
 
4.6%
as 52
 
3.3%
and 42
 
2.7%
methyl 32
 
2.0%
vapor 30
 
1.9%
compounds 28
 
1.8%
chloride 18
 
1.2%
acetate 17
 
1.1%
16
 
1.0%
ethyl 15
 
1.0%
Other values (831) 1239
79.4%
2023-12-12T18:59:59.565223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1426
 
9.4%
o 1204
 
7.9%
l 1030
 
6.8%
a 1010
 
6.6%
n 962
 
6.3%
i 951
 
6.2%
r 846
 
5.6%
t 829
 
5.4%
766
 
5.0%
h 652
 
4.3%
Other values (62) 5566
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12486
81.9%
Uppercase Letter 1023
 
6.7%
Space Separator 766
 
5.0%
Dash Punctuation 213
 
1.4%
Close Punctuation 191
 
1.3%
Open Punctuation 191
 
1.3%
Decimal Number 191
 
1.3%
Other Punctuation 176
 
1.2%
Letter Number 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1426
11.4%
o 1204
 
9.6%
l 1030
 
8.2%
a 1010
 
8.1%
n 962
 
7.7%
i 951
 
7.6%
r 846
 
6.8%
t 829
 
6.6%
h 652
 
5.2%
c 525
 
4.2%
Other values (17) 3051
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 113
11.0%
D 99
9.7%
M 91
8.9%
P 88
 
8.6%
I 88
 
8.6%
T 84
 
8.2%
A 66
 
6.5%
S 63
 
6.2%
N 54
 
5.3%
B 53
 
5.2%
Other values (15) 224
21.9%
Other Punctuation
ValueCountFrequency (%)
, 141
80.1%
& 17
 
9.7%
. 9
 
5.1%
' 4
 
2.3%
% 3
 
1.7%
＆ 2
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 74
38.7%
1 58
30.4%
4 28
 
14.7%
3 16
 
8.4%
5 8
 
4.2%
6 7
 
3.7%
Letter Number
ValueCountFrequency (%)
Ⅵ 2
50.0%
Ⅱ 1
25.0%
Ⅲ 1
25.0%
Space Separator
ValueCountFrequency (%)
766
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13502
88.6%
Common 1729
 
11.3%
Greek 11
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1426
 
10.6%
o 1204
 
8.9%
l 1030
 
7.6%
a 1010
 
7.5%
n 962
 
7.1%
i 951
 
7.0%
r 846
 
6.3%
t 829
 
6.1%
h 652
 
4.8%
c 525
 
3.9%
Other values (43) 4067
30.1%
Common
ValueCountFrequency (%)
766
44.3%
- 213
 
12.3%
) 191
 
11.0%
( 191
 
11.0%
, 141
 
8.2%
2 74
 
4.3%
1 58
 
3.4%
4 28
 
1.6%
& 17
 
1.0%
3 16
 
0.9%
Other values (7) 34
 
2.0%
Greek
ValueCountFrequency (%)
α 7
63.6%
β 4
36.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15224
99.9%
None 14
 
0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1426
 
9.4%
o 1204
 
7.9%
l 1030
 
6.8%
a 1010
 
6.6%
n 962
 
6.3%
i 951
 
6.2%
r 846
 
5.6%
t 829
 
5.4%
766
 
5.0%
h 652
 
4.3%
Other values (55) 5548
36.4%
None
ValueCountFrequency (%)
α 7
50.0%
β 4
28.6%
＆ 2
 
14.3%
´ 1
 
7.1%
Number Forms
ValueCountFrequency (%)
Ⅵ 2
50.0%
Ⅱ 1
25.0%
Ⅲ 1
25.0%

화학식
Text

MISSING 

Distinct592
Distinct (%)80.0%
Missing93
Missing (%)11.2%
Memory size6.6 KiB
2023-12-12T18:59:59.875901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length8.6027027
Min length1

Characters and Unicode

Total characters6366
Distinct characters61
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)67.8%

Sample

1st row-
2nd rowHCOOH
3rd rowGeH4
4th row-
5th row-
ValueCountFrequency (%)
37
 
5.0%
sio2 8
 
1.1%
cr 6
 
0.8%
c6h4(oh)2 5
 
0.7%
al 5
 
0.7%
hg 3
 
0.4%
c6h12o2 3
 
0.4%
ni 3
 
0.4%
ccl3no2 3
 
0.4%
mo 3
 
0.4%
Other values (583) 666
89.8%
2023-12-12T19:00:00.402310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 1289
20.2%
H 1080
17.0%
2 744
11.7%
O 544
8.5%
3 383
 
6.0%
N 220
 
3.5%
4 199
 
3.1%
l 191
 
3.0%
1 187
 
2.9%
6 179
 
2.8%
Other values (51) 1350
21.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3476
54.6%
Decimal Number 2029
31.9%
Lowercase Letter 394
 
6.2%
Close Punctuation 179
 
2.8%
Open Punctuation 179
 
2.8%
Other Punctuation 62
 
1.0%
Dash Punctuation 38
 
0.6%
Other Number 4
 
0.1%
Math Symbol 3
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 1289
37.1%
H 1080
31.1%
O 544
15.7%
N 220
 
6.3%
S 121
 
3.5%
P 59
 
1.7%
F 46
 
1.3%
B 37
 
1.1%
A 15
 
0.4%
T 12
 
0.3%
Other values (11) 53
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
l 191
48.5%
r 46
 
11.7%
n 29
 
7.4%
i 29
 
7.4%
a 29
 
7.4%
e 22
 
5.6%
g 10
 
2.5%
b 10
 
2.5%
o 9
 
2.3%
s 5
 
1.3%
Other values (6) 14
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 744
36.7%
3 383
18.9%
4 199
 
9.8%
1 187
 
9.2%
6 179
 
8.8%
5 145
 
7.1%
0 60
 
3.0%
8 53
 
2.6%
9 40
 
2.0%
7 39
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 60
96.8%
% 1
 
1.6%
· 1
 
1.6%
Other Number
ValueCountFrequency (%)
₂ 2
50.0%
₄ 1
25.0%
₃ 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 170
95.0%
] 9
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 170
95.0%
[ 9
 
5.0%
Math Symbol
ValueCountFrequency (%)
= 2
66.7%
~ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3870
60.8%
Common 2496
39.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 1289
33.3%
H 1080
27.9%
O 544
14.1%
N 220
 
5.7%
l 191
 
4.9%
S 121
 
3.1%
P 59
 
1.5%
F 46
 
1.2%
r 46
 
1.2%
B 37
 
1.0%
Other values (27) 237
 
6.1%
Common
ValueCountFrequency (%)
2 744
29.8%
3 383
15.3%
4 199
 
8.0%
1 187
 
7.5%
6 179
 
7.2%
) 170
 
6.8%
( 170
 
6.8%
5 145
 
5.8%
0 60
 
2.4%
/ 60
 
2.4%
Other values (14) 199
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6361
99.9%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 1289
20.3%
H 1080
17.0%
2 744
11.7%
O 544
8.6%
3 383
 
6.0%
N 220
 
3.5%
4 199
 
3.1%
l 191
 
3.0%
1 187
 
2.9%
6 179
 
2.8%
Other values (47) 1345
21.1%
None
ValueCountFrequency (%)
₂ 2
40.0%
· 1
20.0%
₄ 1
20.0%
₃ 1
20.0%

노출기준(TWA, ppm)
Text

MISSING 

Distinct101
Distinct (%)13.9%
Missing106
Missing (%)12.7%
Memory size6.6 KiB
2023-12-12T19:00:00.704442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length1
Mean length2.4250344
Min length1

Characters and Unicode

Total characters1763
Distinct characters124
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

Unique74 ?
Unique (%)10.2%

Sample

1st row300
2nd row5
3rd row0.2
4th row9
5th row9
ValueCountFrequency (%)
9 339
41.6%
참조 60
 
7.4%
10 32
 
3.9%
50 31
 
3.8%
2 29
 
3.6%
5 29
 
3.6%
1 26
 
3.2%
0.1 22
 
2.7%
0.5 21
 
2.6%
200 15
 
1.8%
Other values (99) 210
25.8%
2023-12-12T19:00:01.133489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 343
19.5%
9 339
19.2%
5 127
 
7.2%
1 126
 
7.1%
87
 
4.9%
2 85
 
4.8%
. 85
 
4.8%
조 64
 
3.6%
참 63
 
3.6%
로 42
 
2.4%
Other values (114) 402
22.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1046
59.3%
Other Letter 504
28.6%
Other Punctuation 92
 
5.2%
Space Separator 87
 
4.9%
Dash Punctuation 17
 
1.0%
Lowercase Letter 10
 
0.6%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 64
 
12.7%
참 63
 
12.5%
로 42
 
8.3%
틸 26
 
5.2%
에 21
 
4.2%
메 19
 
3.8%
클 18
 
3.6%
디 13
 
2.6%
탄 11
 
2.2%
아 11
 
2.2%
Other values (88) 216
42.9%
Decimal Number
ValueCountFrequency (%)
0 343
32.8%
9 339
32.4%
5 127
 
12.1%
1 126
 
12.0%
2 85
 
8.1%
3 13
 
1.2%
4 5
 
0.5%
6 4
 
0.4%
8 3
 
0.3%
7 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
t 2
20.0%
i 1
10.0%
u 1
10.0%
a 1
10.0%
n 1
10.0%
e 1
10.0%
h 1
10.0%
o 1
10.0%
l 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 85
92.4%
, 7
 
7.6%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1248
70.8%
Hangul 504
28.6%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 64
 
12.7%
참 63
 
12.5%
로 42
 
8.3%
틸 26
 
5.2%
에 21
 
4.2%
메 19
 
3.8%
클 18
 
3.6%
디 13
 
2.6%
탄 11
 
2.2%
아 11
 
2.2%
Other values (88) 216
42.9%
Common
ValueCountFrequency (%)
0 343
27.5%
9 339
27.2%
5 127
 
10.2%
1 126
 
10.1%
87
 
7.0%
2 85
 
6.8%
. 85
 
6.8%
- 17
 
1.4%
3 13
 
1.0%
, 7
 
0.6%
Other values (6) 19
 
1.5%
Latin
ValueCountFrequency (%)
t 2
18.2%
i 1
9.1%
B 1
9.1%
u 1
9.1%
a 1
9.1%
n 1
9.1%
e 1
9.1%
h 1
9.1%
o 1
9.1%
l 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1259
71.4%
Hangul 504
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 343
27.2%
9 339
26.9%
5 127
 
10.1%
1 126
 
10.0%
87
 
6.9%
2 85
 
6.8%
. 85
 
6.8%
- 17
 
1.4%
3 13
 
1.0%
, 7
 
0.6%
Other values (16) 30
 
2.4%
Hangul
ValueCountFrequency (%)
조 64
 
12.7%
참 63
 
12.5%
로 42
 
8.3%
틸 26
 
5.2%
에 21
 
4.2%
메 19
 
3.8%
클 18
 
3.6%
디 13
 
2.6%
탄 11
 
2.2%
아 11
 
2.2%
Other values (88) 216
42.9%

노출기준(TWA, ㎎/㎥)
Categorical

Distinct37
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
9
370 
<NA>
177 
10
51 
5
40 
0.1
39 
Other values (32)
156 

Length

Max length8
Median length1
Mean length2.1116447
Min length1

Unique

Unique16 ?
Unique (%)1.9%

Sample

1st row9
2nd row9
3rd row9
4th row2
5th row4

Common Values

ValueCountFrequency (%)
9 370
44.4%
<NA> 177
21.2%
10 51
 
6.1%
5 40
 
4.8%
0.1 39
 
4.7%
1 27
 
3.2%
0.5 25
 
3.0%
2 19
 
2.3%
0.2 18
 
2.2%
0.05 15
 
1.8%
Other values (27) 52
 
6.2%

Length

2023-12-12T19:00:01.327091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9 370
44.4%
na 177
21.2%
10 51
 
6.1%
5 40
 
4.8%
0.1 39
 
4.7%
1 27
 
3.2%
0.5 25
 
3.0%
2 19
 
2.3%
0.2 18
 
2.2%
0.05 15
 
1.8%
Other values (26) 52
 
6.2%

노출기준(STEL,ppm)
Text

MISSING 

Distinct58
Distinct (%)8.8%
Missing175
Missing (%)21.0%
Memory size6.6 KiB
2023-12-12T19:00:01.511316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4164134
Min length1

Characters and Unicode

Total characters932
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

Unique25 ?
Unique (%)3.8%

Sample

1st row500
2nd row9
3rd row9
4th row9
5th row9
ValueCountFrequency (%)
9 513
75.0%
c 26
 
3.8%
15 12
 
1.8%
150 8
 
1.2%
100 8
 
1.2%
10 7
 
1.0%
1 7
 
1.0%
5 7
 
1.0%
75 6
 
0.9%
250 6
 
0.9%
Other values (40) 84
 
12.3%
2023-12-12T19:00:01.887424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 513
55.0%
0 123
 
13.2%
5 69
 
7.4%
1 63
 
6.8%
2 33
 
3.5%
. 33
 
3.5%
C 28
 
3.0%
26
 
2.8%
3 16
 
1.7%
7 12
 
1.3%
Other values (4) 16
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 844
90.6%
Other Punctuation 34
 
3.6%
Uppercase Letter 28
 
3.0%
Space Separator 26
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 513
60.8%
0 123
 
14.6%
5 69
 
8.2%
1 63
 
7.5%
2 33
 
3.9%
3 16
 
1.9%
7 12
 
1.4%
4 11
 
1.3%
6 3
 
0.4%
8 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 33
97.1%
, 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 28
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 904
97.0%
Latin 28
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 513
56.7%
0 123
 
13.6%
5 69
 
7.6%
1 63
 
7.0%
2 33
 
3.7%
. 33
 
3.7%
26
 
2.9%
3 16
 
1.8%
7 12
 
1.3%
4 11
 
1.2%
Other values (3) 5
 
0.6%
Latin
ValueCountFrequency (%)
C 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 513
55.0%
0 123
 
13.2%
5 69
 
7.4%
1 63
 
6.8%
2 33
 
3.5%
. 33
 
3.5%
C 28
 
3.0%
26
 
2.8%
3 16
 
1.7%
7 12
 
1.3%
Other values (4) 16
 
1.7%

노출기준(STEL,㎎/㎥)
Categorical

IMBALANCE 

Distinct22
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
9
624 
<NA>
172 
3
 
6
10
 
5
20
 
4
Other values (17)
 
22

Length

Max length6
Median length1
Mean length1.6842737
Min length1

Unique

Unique13 ?
Unique (%)1.6%

Sample

1st row9
2nd row9
3rd row9
4th row9
5th row9

Common Values

ValueCountFrequency (%)
9 624
74.9%
<NA> 172
 
20.6%
3 6
 
0.7%
10 5
 
0.6%
20 4
 
0.5%
2 3
 
0.4%
C 0.1 2
 
0.2%
0.6 2
 
0.2%
C 2 2
 
0.2%
C 100 1
 
0.1%
Other values (12) 12
 
1.4%

Length

2023-12-12T19:00:02.047845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9 624
74.3%
na 172
 
20.5%
c 7
 
0.8%
3 6
 
0.7%
10 5
 
0.6%
2 5
 
0.6%
20 4
 
0.5%
0.1 2
 
0.2%
0.6 2
 
0.2%
5 2
 
0.2%
Other values (11) 11
 
1.3%

비고(CAS번호 등)
Text

MISSING 

Distinct640
Distinct (%)94.7%
Missing157
Missing (%)18.8%
Memory size6.6 KiB
2023-12-12T19:00:02.505779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length43
Mean length16.223373
Min length1

Characters and Unicode

Total characters10967
Distinct characters116
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique614 ?
Unique (%)90.8%

Sample

1st row[8006-61-9] 발암성 1B, (가솔린 증기의 직업적 노출에 한정함), 생식세포 변이원성 1B
2nd row[64-18-6]
3rd row[7782-65-2]
4th row[8002-74-2]
5th row-
ValueCountFrequency (%)
skin 201
 
12.0%
발암성 199
 
11.9%
2 140
 
8.3%
1b 89
 
5.3%
1a 54
 
3.2%
흡입성 53
 
3.2%
생식독성 46
 
2.7%
변이원성 42
 
2.5%
생식세포 42
 
2.5%
및 32
 
1.9%
Other values (659) 781
46.5%
2023-12-12T19:00:03.141517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1330
 
12.1%
1003
 
9.1%
1 750
 
6.8%
] 663
 
6.0%
[ 663
 
6.0%
2 536
 
4.9%
0 482
 
4.4%
7 466
 
4.2%
4 442
 
4.0%
성 363
 
3.3%
Other values (106) 4269
38.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4431
40.4%
Other Letter 1659
 
15.1%
Dash Punctuation 1330
 
12.1%
Space Separator 1003
 
9.1%
Close Punctuation 678
 
6.2%
Open Punctuation 678
 
6.2%
Lowercase Letter 611
 
5.6%
Uppercase Letter 349
 
3.2%
Other Punctuation 227
 
2.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 363
21.9%
암 200
12.1%
발 200
12.1%
생 88
 
5.3%
식 88
 
5.3%
흡 73
 
4.4%
입 53
 
3.2%
이 51
 
3.1%
독 47
 
2.8%
포 43
 
2.6%
Other values (76) 453
27.3%
Decimal Number
ValueCountFrequency (%)
1 750
16.9%
2 536
12.1%
0 482
10.9%
7 466
10.5%
4 442
10.0%
3 358
8.1%
8 356
8.0%
9 352
7.9%
5 351
7.9%
6 338
7.6%
Lowercase Letter
ValueCountFrequency (%)
i 203
33.2%
n 202
33.1%
k 202
33.1%
s 3
 
0.5%
t 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
S 200
57.3%
B 91
26.1%
A 56
 
16.0%
I 1
 
0.3%
M 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 213
93.8%
% 8
 
3.5%
. 6
 
2.6%
Close Punctuation
ValueCountFrequency (%)
] 663
97.8%
) 15
 
2.2%
Open Punctuation
ValueCountFrequency (%)
[ 663
97.8%
( 15
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1330
100.0%
Space Separator
ValueCountFrequency (%)
1003
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8348
76.1%
Hangul 1659
 
15.1%
Latin 960
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 363
21.9%
암 200
12.1%
발 200
12.1%
생 88
 
5.3%
식 88
 
5.3%
흡 73
 
4.4%
입 53
 
3.2%
이 51
 
3.1%
독 47
 
2.8%
포 43
 
2.6%
Other values (76) 453
27.3%
Common
ValueCountFrequency (%)
- 1330
15.9%
1003
12.0%
1 750
9.0%
] 663
7.9%
[ 663
7.9%
2 536
 
6.4%
0 482
 
5.8%
7 466
 
5.6%
4 442
 
5.3%
3 358
 
4.3%
Other values (10) 1655
19.8%
Latin
ValueCountFrequency (%)
i 203
21.1%
n 202
21.0%
k 202
21.0%
S 200
20.8%
B 91
9.5%
A 56
 
5.8%
s 3
 
0.3%
I 1
 
0.1%
M 1
 
0.1%
t 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9308
84.9%
Hangul 1659
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1330
14.3%
1003
 
10.8%
1 750
 
8.1%
] 663
 
7.1%
[ 663
 
7.1%
2 536
 
5.8%
0 482
 
5.2%
7 466
 
5.0%
4 442
 
4.7%
3 358
 
3.8%
Other values (20) 2615
28.1%
Hangul
ValueCountFrequency (%)
성 363
21.9%
암 200
12.1%
발 200
12.1%
생 88
 
5.3%
식 88
 
5.3%
흡 73
 
4.4%
입 53
 
3.2%
이 51
 
3.1%
독 47
 
2.8%
포 43
 
2.6%
Other values (76) 453
27.3%

Interactions

2023-12-12T18:59:56.757220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:00:03.583261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호노출기준(TWA, ㎎/㎥)노출기준(STEL,ppm)노출기준(STEL,㎎/㎥)
일련번호1.0000.1870.2180.133
노출기준(TWA, ㎎/㎥)0.1871.0000.0000.805
노출기준(STEL,ppm)0.2180.0001.0000.000
노출기준(STEL,㎎/㎥)0.1330.8050.0001.000
2023-12-12T19:00:03.709947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노출기준(STEL,㎎/㎥)노출기준(TWA, ㎎/㎥)
노출기준(STEL,㎎/㎥)1.0000.322
노출기준(TWA, ㎎/㎥)0.3221.000
2023-12-12T19:00:03.818236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호노출기준(TWA, ㎎/㎥)노출기준(STEL,㎎/㎥)
일련번호1.0000.0630.049
노출기준(TWA, ㎎/㎥)0.0631.0000.322
노출기준(STEL,㎎/㎥)0.0490.3221.000

Missing values

2023-12-12T18:59:56.912320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:59:57.078819image/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.
2023-12-12T18:59:57.310609image/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

일련번호유해물질의 명칭(국문)유해물질의 명칭(영문)화학식노출기준(TWA, ppm)노출기준(TWA, ㎎/㎥)노출기준(STEL,ppm)노출기준(STEL,㎎/㎥)비고(CAS번호 등)
01가솔린Gasoline-30095009[8006-61-9] 발암성 1B, (가솔린 증기의 직업적 노출에 한정함), 생식세포 변이원성 1B
12개미산Formic acidHCOOH5999[64-18-6]
23게르마늄 테트라하이드라이드Germanium tetrahydrideGeH40.2999[7782-65-2]
34고형 파라핀 흄Paraffin wax fume-9299[8002-74-2]
45곡물분진Grain dust-9499-
56곡분분진Flour dust(Inhalable fraction)-90.599흡입성
67과산화벤조일Benzoyl peroxide(C6H5CO)2O29599[94-36-0]
78과산화수소Hydrogen peroxideH2O21999[7722-84-1] 발암성 2
89광물털 섬유Mineral wool fiber-91099발암성 2, (알칼리 산화물 및 알칼리토금속 산화물의 중량비가 18% 이상인 불특정 모양의 인공 유리규산 섬유에 한정함)
910구리(분진 및 미스트)Copper(Dust & mist, as Cu)Cu9199[7440-50-8]
일련번호유해물질의 명칭(국문)유해물질의 명칭(영문)화학식노출기준(TWA, ppm)노출기준(TWA, ㎎/㎥)노출기준(STEL,ppm)노출기준(STEL,㎎/㎥)비고(CAS번호 등)
823<NA>(흄 및 분진)(Fume & dust, as Ni)<NA><NA><NA><NA><NA><NA>
824728황화수소Hydrogen sulfideH2S109159[7783-06-4]
825729휘발성 콜타르피치Coal tar pitch volatilesC14H10/C16H10/C12H9N/C20H1290.299[65996-93-2] 발암성 1A, 생식독성 1B
826<NA>(벤젠에 가용물)(Benzene solubles)<NA><NA><NA><NA><NA><NA>
827730흑연GraphiteC9299[7782-42-5] 호흡성
828<NA>(천연 및 합성,(Natural＆ Synthetic,<NA><NA><NA><NA><NA><NA>
829<NA>Graphite 섬유제외)Except Graphite fibers, Respirable fraction)<NA><NA><NA><NA><NA><NA>
830731기타 분진Particulates not otherwise-91099발암성 1A
831<NA>(산화규소 결정체 1% 이하)regulated(no more than 1%<NA><NA><NA><NA><NA>(산화규소 결정체 0.1% 이상에 한함)
832<NA><NA>crystalline silica)<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

일련번호유해물질의 명칭(국문)유해물질의 명칭(영문)화학식노출기준(TWA, ppm)노출기준(TWA, ㎎/㎥)노출기준(STEL,ppm)노출기준(STEL,㎎/㎥)비고(CAS번호 등)# duplicates
1<NA><NA>(Inhalable fraction and vapor)<NA><NA><NA><NA><NA><NA>8
2<NA><NA><NA><NA><NA><NA><NA><NA>(벤젠 0.1% 이상인 경우에 한정함)3
0<NA>디플로로에탄difluoroethane<NA><NA><NA><NA><NA><NA>2
3<NA><NA><NA><NA><NA><NA><NA><NA>Skin2
4<NA><NA><NA><NA><NA><NA><NA><NA>생식독성 1B2
5<NA><NA><NA><NA><NA><NA><NA><NA>생식독성 2, Skin2
6<NA><NA><NA><NA><NA><NA><NA><NA><NA>2