Overview

Dataset statistics

Number of variables23
Number of observations771
Missing cells925
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.7 KiB
Average record size in memory188.2 B

Variable types

Text13
Categorical6
Numeric4

Dataset

Description울산광역시 국가산단지역 내 기업명, 기업주소, 위험물명, 위험물 식별번호, 위험물 특성(저장용량, 색상, 냄새) 정보 데이터
Author울산광역시
URLhttps://www.data.go.kr/data/15109144/fileData.do

Alerts

국가산단 구분 has constant value ""Constant
시명 has constant value ""Constant
구군명 has constant value ""Constant
동명 has constant value ""Constant
리명 has constant value ""Constant
(CAS) 번호 has 25 (3.2%) missing valuesMissing
저장용량 has 244 (31.6%) missing valuesMissing
화확물 (RETECS) 번호 has 83 (10.8%) missing valuesMissing
화확물 (EC) 번호 has 149 (19.3%) missing valuesMissing
화확물 (UN) 번호 has 84 (10.9%) missing valuesMissing
화확물 상온상태 has 73 (9.5%) missing valuesMissing
화확물 색상 has 79 (10.2%) missing valuesMissing
화확물 냄새 has 105 (13.6%) missing valuesMissing
사용용도설명 has 83 (10.8%) missing valuesMissing
건물 부번 has 446 (57.8%) zerosZeros

Reproduction

Analysis started2024-03-14 17:33:23.691301
Analysis finished2024-03-14 17:33:25.125376
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가산단 기업명
Text

Distinct81
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-03-15T02:33:25.916263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.6083009
Min length5

Characters and Unicode

Total characters6637
Distinct characters147
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

Unique10 ?
Unique (%)1.3%

Sample

1st row(주)금정온산지점
2nd row(주)금정온산지점
3rd row(주)금정온산지점
4th row(주)금정온산지점
5th row(주)금정온산지점
ValueCountFrequency (%)
조운통합운수(주 84
 
9.9%
주)엘지화학 60
 
7.1%
주)영진특수 42
 
5.0%
주)제일화성 34
 
4.0%
1공장 33
 
3.9%
에쓰-오일(주 32
 
3.8%
아크로마코리아(주 31
 
3.7%
엘에스니꼬동제련(주 24
 
2.8%
네오폴리(주 21
 
2.5%
주)워켐 21
 
2.5%
Other values (79) 465
54.9%
2024-03-15T02:33:27.559204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 779
 
11.7%
( 779
 
11.7%
주 766
 
11.5%
화 179
 
2.7%
운 172
 
2.6%
이 153
 
2.3%
에 152
 
2.3%
수 141
 
2.1%
스 130
 
2.0%
아 123
 
1.9%
Other values (137) 3263
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4897
73.8%
Close Punctuation 779
 
11.7%
Open Punctuation 779
 
11.7%
Space Separator 76
 
1.1%
Decimal Number 45
 
0.7%
Dash Punctuation 32
 
0.5%
Uppercase Letter 22
 
0.3%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 766
 
15.6%
화 179
 
3.7%
운 172
 
3.5%
이 153
 
3.1%
에 152
 
3.1%
수 141
 
2.9%
스 130
 
2.7%
아 123
 
2.5%
코 116
 
2.4%
리 115
 
2.3%
Other values (124) 2850
58.2%
Uppercase Letter
ValueCountFrequency (%)
P 14
63.6%
S 2
 
9.1%
N 2
 
9.1%
C 2
 
9.1%
M 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 33
73.3%
3 6
 
13.3%
2 6
 
13.3%
Close Punctuation
ValueCountFrequency (%)
) 779
100.0%
Open Punctuation
ValueCountFrequency (%)
( 779
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
& 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4897
73.8%
Common 1718
 
25.9%
Latin 22
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 766
 
15.6%
화 179
 
3.7%
운 172
 
3.5%
이 153
 
3.1%
에 152
 
3.1%
수 141
 
2.9%
스 130
 
2.7%
아 123
 
2.5%
코 116
 
2.4%
리 115
 
2.3%
Other values (124) 2850
58.2%
Common
ValueCountFrequency (%)
) 779
45.3%
( 779
45.3%
76
 
4.4%
1 33
 
1.9%
- 32
 
1.9%
& 7
 
0.4%
3 6
 
0.3%
2 6
 
0.3%
Latin
ValueCountFrequency (%)
P 14
63.6%
S 2
 
9.1%
N 2
 
9.1%
C 2
 
9.1%
M 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4897
73.8%
ASCII 1740
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 779
44.8%
( 779
44.8%
76
 
4.4%
1 33
 
1.9%
- 32
 
1.8%
P 14
 
0.8%
& 7
 
0.4%
3 6
 
0.3%
2 6
 
0.3%
S 2
 
0.1%
Other values (3) 6
 
0.3%
Hangul
ValueCountFrequency (%)
주 766
 
15.6%
화 179
 
3.7%
운 172
 
3.5%
이 153
 
3.1%
에 152
 
3.1%
수 141
 
2.9%
스 130
 
2.7%
아 123
 
2.5%
코 116
 
2.4%
리 115
 
2.3%
Other values (124) 2850
58.2%

국가산단 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
O
771 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 771
100.0%

Length

2024-03-15T02:33:28.017529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:33:28.341417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 771
100.0%

시명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
울산광역시
771 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 771
100.0%

Length

2024-03-15T02:33:28.661043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:33:28.967894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 771
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
남구
771 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 771
100.0%

Length

2024-03-15T02:33:29.166857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:33:29.350250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 771
100.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
가대동
771 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가대동 771
100.0%

Length

2024-03-15T02:33:29.516547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:33:29.694885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가대동 771
100.0%

리명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
가대동
771 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가대동 771
100.0%

Length

2024-03-15T02:33:29.860782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:33:30.031974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가대동 771
100.0%

번지
Text

Distinct73
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-03-15T02:33:30.909883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.8975357
Min length1

Characters and Unicode

Total characters3005
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

Unique10 ?
Unique (%)1.3%

Sample

1st row753-19
2nd row753-19
3rd row753-19
4th row753-19
5th row753-19
ValueCountFrequency (%)
580 99
 
12.8%
58-1 84
 
10.9%
427-13 48
 
6.2%
921-3 42
 
5.4%
427-16 34
 
4.4%
360 29
 
3.8%
70 24
 
3.1%
420 21
 
2.7%
427-4 21
 
2.7%
125 19
 
2.5%
Other values (63) 350
45.4%
2024-03-15T02:33:32.034341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 435
14.5%
- 364
12.1%
3 332
11.0%
5 317
10.5%
2 311
10.3%
4 286
9.5%
8 284
9.5%
7 231
7.7%
0 229
7.6%
6 117
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2641
87.9%
Dash Punctuation 364
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 435
16.5%
3 332
12.6%
5 317
12.0%
2 311
11.8%
4 286
10.8%
8 284
10.8%
7 231
8.7%
0 229
8.7%
6 117
 
4.4%
9 99
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 435
14.5%
- 364
12.1%
3 332
11.0%
5 317
10.5%
2 311
10.3%
4 286
9.5%
8 284
9.5%
7 231
7.7%
0 229
7.6%
6 117
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 435
14.5%
- 364
12.1%
3 332
11.0%
5 317
10.5%
2 311
10.3%
4 286
9.5%
8 284
9.5%
7 231
7.7%
0 229
7.6%
6 117
 
3.9%

도로명
Categorical

Distinct22
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
회학3길
223 
이진로
175 
산암로
52 
화산로
51 
온산로
44 
Other values (17)
226 

Length

Max length5
Median length3
Mean length3.3904021
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
회학3길 223
28.9%
이진로 175
22.7%
산암로 52
 
6.7%
화산로 51
 
6.6%
온산로 44
 
5.7%
당월로 39
 
5.1%
화산3길 38
 
4.9%
산남길 30
 
3.9%
공단로 21
 
2.7%
대정로 20
 
2.6%
Other values (12) 78
 
10.1%

Length

2024-03-15T02:33:32.291897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회학3길 223
28.9%
이진로 175
22.7%
산암로 52
 
6.7%
화산로 51
 
6.6%
온산로 44
 
5.7%
당월로 39
 
5.1%
화산3길 38
 
4.9%
산남길 30
 
3.9%
공단로 21
 
2.7%
대정로 20
 
2.6%
Other values (12) 78
 
10.1%

건물 본번
Real number (ℝ)

Distinct53
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.032425
Minimum3
Maximum594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-15T02:33:32.639917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q119
median38
Q3110
95-th percentile322
Maximum594
Range591
Interquartile range (IQR)91

Descriptive statistics

Standard deviation118.76423
Coefficient of variation (CV)1.3339436
Kurtosis7.3319816
Mean89.032425
Median Absolute Deviation (MAD)28
Skewness2.6489475
Sum68644
Variance14104.943
MonotonicityNot monotonic
2024-03-15T02:33:32.958604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 108
14.0%
38 96
 
12.5%
10 92
 
11.9%
110 46
 
6.0%
56 37
 
4.8%
34 31
 
4.0%
68 29
 
3.8%
148 24
 
3.1%
71 22
 
2.9%
139 21
 
2.7%
Other values (43) 265
34.4%
ValueCountFrequency (%)
3 12
 
1.6%
5 2
 
0.3%
8 5
 
0.6%
10 92
11.9%
12 14
 
1.8%
17 7
 
0.9%
18 3
 
0.4%
19 108
14.0%
20 1
 
0.1%
27 3
 
0.4%
ValueCountFrequency (%)
594 16
2.1%
556 7
 
0.9%
461 2
 
0.3%
341 10
1.3%
322 16
2.1%
320 18
2.3%
318 2
 
0.3%
263 4
 
0.5%
249 2
 
0.3%
232 2
 
0.3%

건물 부번
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.848249
Minimum0
Maximum116
Zeros446
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-15T02:33:33.298179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile26
Maximum116
Range116
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.383464
Coefficient of variation (CV)1.9601142
Kurtosis25.623171
Mean7.848249
Median Absolute Deviation (MAD)0
Skewness4.4043821
Sum6051
Variance236.65097
MonotonicityNot monotonic
2024-03-15T02:33:33.771605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 446
57.8%
15 84
 
10.9%
7 48
 
6.2%
26 42
 
5.4%
16 37
 
4.8%
11 32
 
4.2%
4 12
 
1.6%
3 12
 
1.6%
34 11
 
1.4%
116 7
 
0.9%
Other values (9) 40
 
5.2%
ValueCountFrequency (%)
0 446
57.8%
3 12
 
1.6%
4 12
 
1.6%
5 4
 
0.5%
7 48
 
6.2%
9 3
 
0.4%
10 4
 
0.5%
11 32
 
4.2%
14 2
 
0.3%
15 84
 
10.9%
ValueCountFrequency (%)
116 7
 
0.9%
92 5
 
0.6%
36 7
 
0.9%
34 11
 
1.4%
26 42
5.4%
24 4
 
0.5%
22 7
 
0.9%
18 4
 
0.5%
16 37
4.8%
15 84
10.9%

국가산단 기업 위치정보(X)
Real number (ℝ)

Distinct72
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean412149.55
Minimum411294.65
Maximum414615.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-15T02:33:34.089278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum411294.65
5-th percentile411407.96
Q1411517.55
median411815.84
Q3412612.56
95-th percentile413658.83
Maximum414615.84
Range3321.1878
Interquartile range (IQR)1095.0057

Descriptive statistics

Standard deviation772.61924
Coefficient of variation (CV)0.001874609
Kurtosis1.2924979
Mean412149.55
Median Absolute Deviation (MAD)396.3899
Skewness1.3006111
Sum3.177673 × 108
Variance596940.49
MonotonicityNot monotonic
2024-03-15T02:33:34.525894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
411517.5515 99
 
12.8%
411407.964 86
 
11.2%
411767.4136 84
 
10.9%
411815.8404 42
 
5.4%
412878.0233 29
 
3.8%
413113.4355 24
 
3.1%
412612.5572 23
 
3.0%
411469.8975 19
 
2.5%
412212.2303 19
 
2.5%
412478.7362 18
 
2.3%
Other values (62) 328
42.5%
ValueCountFrequency (%)
411294.6492 2
 
0.3%
411350.4363 2
 
0.3%
411383.86 2
 
0.3%
411391.4016 2
 
0.3%
411407.964 86
11.2%
411407.992 16
 
2.1%
411418.9044 1
 
0.1%
411469.8975 19
 
2.5%
411517.5515 99
12.8%
411519.03 9
 
1.2%
ValueCountFrequency (%)
414615.837 18
2.3%
414258.5399 7
 
0.9%
414153.7412 2
 
0.3%
414118.9218 3
 
0.4%
414024.9554 5
 
0.6%
413658.8298 16
2.1%
413588.2893 3
 
0.4%
413445.0826 3
 
0.4%
413311.1535 1
 
0.1%
413123.8901 4
 
0.5%

국가산단 기업 위치정보(Y)
Real number (ℝ)

Distinct72
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318147.85
Minimum314507.3
Maximum322910.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-15T02:33:34.949892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum314507.3
5-th percentile315581.51
Q1316954.64
median317443.61
Q3320073.34
95-th percentile320205.04
Maximum322910.46
Range8403.1629
Interquartile range (IQR)3118.692

Descriptive statistics

Standard deviation1660.9951
Coefficient of variation (CV)0.0052208277
Kurtosis-1.0798519
Mean318147.85
Median Absolute Deviation (MAD)1254.1829
Skewness0.11525519
Sum2.4529199 × 108
Variance2758904.7
MonotonicityNot monotonic
2024-03-15T02:33:35.363176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
317378.7616 99
 
12.8%
320073.3363 86
 
11.2%
320205.0399 84
 
10.9%
316157.8471 42
 
5.4%
318697.7927 29
 
3.8%
317808.8114 24
 
3.1%
317305.5821 23
 
3.0%
320085.0123 19
 
2.5%
317357.0598 19
 
2.5%
316944.7479 18
 
2.3%
Other values (62) 328
42.5%
ValueCountFrequency (%)
314507.2975 5
0.6%
314819.5873 7
0.9%
314926.207 1
 
0.1%
315284.5708 6
0.8%
315328.6442 9
1.2%
315363.0636 3
 
0.4%
315561.0441 8
1.0%
315601.9778 7
0.9%
315786.6293 5
0.6%
315987.5231 3
 
0.4%
ValueCountFrequency (%)
322910.4604 3
 
0.4%
320894.1642 7
 
0.9%
320774.1224 2
 
0.3%
320612.37 2
 
0.3%
320469.0037 1
 
0.1%
320446.3933 2
 
0.3%
320428.7247 2
 
0.3%
320205.0399 84
10.9%
320149.1986 2
 
0.3%
320140.8849 1
 
0.1%

화학물질 한글명
Text

Distinct179
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-03-15T02:33:36.162501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length24
Mean length7.5693904
Min length2

Characters and Unicode

Total characters5836
Distinct characters181
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

Unique73 ?
Unique (%)9.5%

Sample

1st row과산화 수소
2nd row메탄올
3rd row메틸 에틸 케톤
4th row메틸 에틸 케톤 과산화물
5th row수산화나트륨
ValueCountFrequency (%)
황산 55
 
4.8%
수산화나트륨 52
 
4.6%
수소 40
 
3.5%
염화수소 31
 
2.7%
메탄올 31
 
2.7%
질산 30
 
2.6%
에틸 30
 
2.6%
톨루엔 28
 
2.5%
과산화 25
 
2.2%
메틸 25
 
2.2%
Other values (212) 788
69.4%
2024-03-15T02:33:37.692012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
 
6.2%
산 341
 
5.8%
화 282
 
4.8%
- 232
 
4.0%
수 169
 
2.9%
메 159
 
2.7%
이 156
 
2.7%
틸 156
 
2.7%
아 154
 
2.6%
트 138
 
2.4%
Other values (171) 3685
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4804
82.3%
Space Separator 364
 
6.2%
Dash Punctuation 232
 
4.0%
Decimal Number 172
 
2.9%
Close Punctuation 84
 
1.4%
Open Punctuation 84
 
1.4%
Other Punctuation 63
 
1.1%
Uppercase Letter 26
 
0.4%
Lowercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 341
 
7.1%
화 282
 
5.9%
수 169
 
3.5%
메 159
 
3.3%
이 156
 
3.2%
틸 156
 
3.2%
아 154
 
3.2%
트 138
 
2.9%
로 133
 
2.8%
소 131
 
2.7%
Other values (144) 2985
62.1%
Decimal Number
ValueCountFrequency (%)
2 57
33.1%
4 52
30.2%
1 29
16.9%
3 17
 
9.9%
5 9
 
5.2%
6 4
 
2.3%
8 3
 
1.7%
0 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
N 16
61.5%
H 4
 
15.4%
I 3
 
11.5%
V 1
 
3.8%
O 1
 
3.8%
E 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 42
66.7%
: 18
28.6%
' 2
 
3.2%
/ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
] 61
72.6%
) 23
 
27.4%
Open Punctuation
ValueCountFrequency (%)
[ 61
72.6%
( 23
 
27.4%
Lowercase Letter
ValueCountFrequency (%)
n 3
75.0%
o 1
 
25.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4804
82.3%
Common 1002
 
17.2%
Latin 30
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 341
 
7.1%
화 282
 
5.9%
수 169
 
3.5%
메 159
 
3.3%
이 156
 
3.2%
틸 156
 
3.2%
아 154
 
3.2%
트 138
 
2.9%
로 133
 
2.8%
소 131
 
2.7%
Other values (144) 2985
62.1%
Common
ValueCountFrequency (%)
364
36.3%
- 232
23.2%
] 61
 
6.1%
[ 61
 
6.1%
2 57
 
5.7%
4 52
 
5.2%
, 42
 
4.2%
1 29
 
2.9%
) 23
 
2.3%
( 23
 
2.3%
Other values (9) 58
 
5.8%
Latin
ValueCountFrequency (%)
N 16
53.3%
H 4
 
13.3%
I 3
 
10.0%
n 3
 
10.0%
V 1
 
3.3%
o 1
 
3.3%
O 1
 
3.3%
E 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4804
82.3%
ASCII 1032
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
35.3%
- 232
22.5%
] 61
 
5.9%
[ 61
 
5.9%
2 57
 
5.5%
4 52
 
5.0%
, 42
 
4.1%
1 29
 
2.8%
) 23
 
2.2%
( 23
 
2.2%
Other values (17) 88
 
8.5%
Hangul
ValueCountFrequency (%)
산 341
 
7.1%
화 282
 
5.9%
수 169
 
3.5%
메 159
 
3.3%
이 156
 
3.2%
틸 156
 
3.2%
아 154
 
3.2%
트 138
 
2.9%
로 133
 
2.8%
소 131
 
2.7%
Other values (144) 2985
62.1%

화학물질 영문명
Text

Distinct180
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-03-15T02:33:38.612248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length48
Mean length17.671855
Min length4

Characters and Unicode

Total characters13625
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)9.6%

Sample

1st rowHydrogen peroxide
2nd rowMethanol
3rd rowMethyl ethyl ketone
4th rowMethyl ethyl ketone peroxide
5th rowSodium hydroxide
ValueCountFrequency (%)
acid 113
 
8.1%
hydroxide 81
 
5.8%
sodium 75
 
5.4%
hydrogen 71
 
5.1%
sulfuric 58
 
4.2%
chloride 46
 
3.3%
ammonium 32
 
2.3%
methanol 31
 
2.2%
peroxide 31
 
2.2%
ethyl 30
 
2.2%
Other values (203) 826
59.3%
2024-03-15T02:33:40.038512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1186
 
8.7%
i 1061
 
7.8%
o 945
 
6.9%
d 749
 
5.5%
l 726
 
5.3%
r 670
 
4.9%
n 631
 
4.6%
623
 
4.6%
y 528
 
3.9%
h 503
 
3.7%
Other values (56) 6003
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10160
74.6%
Uppercase Letter 2174
 
16.0%
Space Separator 623
 
4.6%
Dash Punctuation 234
 
1.7%
Decimal Number 171
 
1.3%
Other Punctuation 95
 
0.7%
Open Punctuation 84
 
0.6%
Close Punctuation 84
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1186
11.7%
i 1061
 
10.4%
o 945
 
9.3%
d 749
 
7.4%
l 726
 
7.1%
r 670
 
6.6%
n 631
 
6.2%
y 528
 
5.2%
h 503
 
5.0%
a 500
 
4.9%
Other values (14) 2661
26.2%
Uppercase Letter
ValueCountFrequency (%)
E 188
 
8.6%
N 168
 
7.7%
H 162
 
7.5%
S 156
 
7.2%
A 155
 
7.1%
M 139
 
6.4%
T 137
 
6.3%
O 136
 
6.3%
I 132
 
6.1%
L 131
 
6.0%
Other values (14) 670
30.8%
Decimal Number
ValueCountFrequency (%)
2 57
33.3%
4 52
30.4%
1 31
18.1%
3 17
 
9.9%
5 9
 
5.3%
8 3
 
1.8%
0 1
 
0.6%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 67
70.5%
: 19
 
20.0%
/ 7
 
7.4%
' 2
 
2.1%
Open Punctuation
ValueCountFrequency (%)
[ 61
72.6%
( 23
 
27.4%
Close Punctuation
ValueCountFrequency (%)
] 61
72.6%
) 23
 
27.4%
Space Separator
ValueCountFrequency (%)
623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12334
90.5%
Common 1291
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1186
 
9.6%
i 1061
 
8.6%
o 945
 
7.7%
d 749
 
6.1%
l 726
 
5.9%
r 670
 
5.4%
n 631
 
5.1%
y 528
 
4.3%
h 503
 
4.1%
a 500
 
4.1%
Other values (38) 4835
39.2%
Common
ValueCountFrequency (%)
623
48.3%
- 234
 
18.1%
, 67
 
5.2%
[ 61
 
4.7%
] 61
 
4.7%
2 57
 
4.4%
4 52
 
4.0%
1 31
 
2.4%
) 23
 
1.8%
( 23
 
1.8%
Other values (8) 59
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1186
 
8.7%
i 1061
 
7.8%
o 945
 
6.9%
d 749
 
5.5%
l 726
 
5.3%
r 670
 
4.9%
n 631
 
4.6%
623
 
4.6%
y 528
 
3.9%
h 503
 
3.7%
Other values (56) 6003
44.1%

(CAS) 번호
Text

MISSING 

Distinct168
Distinct (%)22.5%
Missing25
Missing (%)3.2%
Memory size6.1 KiB
2024-03-15T02:33:41.037007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.4664879
Min length7

Characters and Unicode

Total characters6316
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

Unique68 ?
Unique (%)9.1%

Sample

1st row7722-84-1
2nd row67-56-1
3rd row78-93-3
4th row1338-23-4
5th row1310-73-2
ValueCountFrequency (%)
7664-93-9 53
 
7.1%
1310-73-2 52
 
7.0%
67-56-1 31
 
4.2%
7647-01-0 31
 
4.2%
7722-84-1 25
 
3.4%
108-88-3 25
 
3.4%
7697-37-2 19
 
2.5%
1330-20-7 15
 
2.0%
1310-58-3 14
 
1.9%
78-93-3 14
 
1.9%
Other values (158) 467
62.6%
2024-03-15T02:33:42.501372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1492
23.6%
1 722
11.4%
7 695
11.0%
3 597
9.5%
6 488
 
7.7%
0 480
 
7.6%
2 404
 
6.4%
8 402
 
6.4%
9 383
 
6.1%
4 364
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4824
76.4%
Dash Punctuation 1492
 
23.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 722
15.0%
7 695
14.4%
3 597
12.4%
6 488
10.1%
0 480
10.0%
2 404
8.4%
8 402
8.3%
9 383
7.9%
4 364
7.5%
5 289
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1492
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6316
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1492
23.6%
1 722
11.4%
7 695
11.0%
3 597
9.5%
6 488
 
7.7%
0 480
 
7.6%
2 404
 
6.4%
8 402
 
6.4%
9 383
 
6.1%
4 364
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6316
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1492
23.6%
1 722
11.4%
7 695
11.0%
3 597
9.5%
6 488
 
7.7%
0 480
 
7.6%
2 404
 
6.4%
8 402
 
6.4%
9 383
 
6.1%
4 364
 
5.8%

저장용량
Text

MISSING 

Distinct312
Distinct (%)59.2%
Missing244
Missing (%)31.6%
Memory size6.1 KiB
2024-03-15T02:33:43.941300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length3.9886148
Min length1

Characters and Unicode

Total characters2102
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)44.8%

Sample

1st row100
2nd row220
3rd row100
4th row150
5th row100
ValueCountFrequency (%)
100 29
 
5.5%
50 13
 
2.5%
120 13
 
2.5%
1,200 10
 
1.9%
500 9
 
1.7%
30 8
 
1.5%
60 8
 
1.5%
50톤 7
 
1.3%
10톤 6
 
1.1%
2,000 6
 
1.1%
Other values (303) 419
79.4%
2024-03-15T02:33:45.592348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 730
34.7%
1 229
 
10.9%
2 196
 
9.3%
5 180
 
8.6%
3 118
 
5.6%
톤 118
 
5.6%
4 101
 
4.8%
, 99
 
4.7%
6 99
 
4.7%
. 65
 
3.1%
Other values (6) 167
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1815
86.3%
Other Punctuation 164
 
7.8%
Other Letter 122
 
5.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 730
40.2%
1 229
 
12.6%
2 196
 
10.8%
5 180
 
9.9%
3 118
 
6.5%
4 101
 
5.6%
6 99
 
5.5%
8 64
 
3.5%
9 53
 
2.9%
7 45
 
2.5%
Other Letter
ValueCountFrequency (%)
톤 118
96.7%
총 3
 
2.5%
합 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 99
60.4%
. 65
39.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
94.2%
Hangul 122
 
5.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 730
36.9%
1 229
 
11.6%
2 196
 
9.9%
5 180
 
9.1%
3 118
 
6.0%
4 101
 
5.1%
, 99
 
5.0%
6 99
 
5.0%
. 65
 
3.3%
8 64
 
3.2%
Other values (3) 99
 
5.0%
Hangul
ValueCountFrequency (%)
톤 118
96.7%
총 3
 
2.5%
합 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
94.2%
Hangul 122
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 730
36.9%
1 229
 
11.6%
2 196
 
9.9%
5 180
 
9.1%
3 118
 
6.0%
4 101
 
5.1%
, 99
 
5.0%
6 99
 
5.0%
. 65
 
3.3%
8 64
 
3.2%
Other values (3) 99
 
5.0%
Hangul
ValueCountFrequency (%)
톤 118
96.7%
총 3
 
2.5%
합 1
 
0.8%

화확물 (RETECS) 번호
Text

MISSING 

Distinct146
Distinct (%)21.2%
Missing83
Missing (%)10.8%
Memory size6.1 KiB
2024-03-15T02:33:46.664509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9883721
Min length8

Characters and Unicode

Total characters6184
Distinct characters36
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

Unique57 ?
Unique (%)8.3%

Sample

1st rowMX0900000
2nd rowPC1400000
3rd rowEL6475000
4th rowEL9450000
5th rowWB4900000
ValueCountFrequency (%)
ws5600000 53
 
7.7%
wb4900000 52
 
7.6%
mw4025000 31
 
4.5%
pc1400000 31
 
4.5%
mx0900000 25
 
3.6%
xs5250000 25
 
3.6%
qu5775000 19
 
2.8%
ze2100000 15
 
2.2%
tt2100000 14
 
2.0%
el6475000 14
 
2.0%
Other values (136) 409
59.4%
2024-03-15T02:33:48.366855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2938
47.5%
5 533
 
8.6%
2 251
 
4.1%
4 213
 
3.4%
7 209
 
3.4%
9 189
 
3.1%
W 175
 
2.8%
1 139
 
2.2%
6 134
 
2.2%
S 120
 
1.9%
Other values (26) 1283
20.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4811
77.8%
Uppercase Letter 1373
 
22.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
W 175
 
12.7%
S 120
 
8.7%
B 106
 
7.7%
M 102
 
7.4%
T 89
 
6.5%
X 84
 
6.1%
Q 83
 
6.0%
E 58
 
4.2%
Z 55
 
4.0%
C 55
 
4.0%
Other values (16) 446
32.5%
Decimal Number
ValueCountFrequency (%)
0 2938
61.1%
5 533
 
11.1%
2 251
 
5.2%
4 213
 
4.4%
7 209
 
4.3%
9 189
 
3.9%
1 139
 
2.9%
6 134
 
2.8%
3 107
 
2.2%
8 98
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4811
77.8%
Latin 1373
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
W 175
 
12.7%
S 120
 
8.7%
B 106
 
7.7%
M 102
 
7.4%
T 89
 
6.5%
X 84
 
6.1%
Q 83
 
6.0%
E 58
 
4.2%
Z 55
 
4.0%
C 55
 
4.0%
Other values (16) 446
32.5%
Common
ValueCountFrequency (%)
0 2938
61.1%
5 533
 
11.1%
2 251
 
5.2%
4 213
 
4.4%
7 209
 
4.3%
9 189
 
3.9%
1 139
 
2.9%
6 134
 
2.8%
3 107
 
2.2%
8 98
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2938
47.5%
5 533
 
8.6%
2 251
 
4.1%
4 213
 
3.4%
7 209
 
3.4%
9 189
 
3.1%
W 175
 
2.8%
1 139
 
2.2%
6 134
 
2.2%
S 120
 
1.9%
Other values (26) 1283
20.7%

화확물 (EC) 번호
Text

MISSING 

Distinct129
Distinct (%)20.7%
Missing149
Missing (%)19.3%
Memory size6.1 KiB
2024-03-15T02:33:49.422435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.9501608
Min length9

Characters and Unicode

Total characters6189
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)8.2%

Sample

1st row008-003-00-9
2nd row200-659-6
3rd row201-159-0
4th row215-661-2
5th row011-002-00-6
ValueCountFrequency (%)
231-639-5 53
 
8.5%
011-002-00-6 52
 
8.4%
200-659-6 31
 
5.0%
231-595-7 31
 
5.0%
203-625-9 25
 
4.0%
008-003-00-9 25
 
4.0%
231-714-2 19
 
3.1%
601-022-00-9 15
 
2.4%
201-159-0 14
 
2.3%
215-647-6 13
 
2.1%
Other values (119) 344
55.3%
2024-03-15T02:33:51.058407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1441
23.3%
0 1311
21.2%
2 726
11.7%
1 524
 
8.5%
6 466
 
7.5%
3 432
 
7.0%
5 424
 
6.9%
9 319
 
5.2%
7 206
 
3.3%
4 195
 
3.2%
Other values (2) 145
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4742
76.6%
Dash Punctuation 1441
 
23.3%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1311
27.6%
2 726
15.3%
1 524
 
11.1%
6 466
 
9.8%
3 432
 
9.1%
5 424
 
8.9%
9 319
 
6.7%
7 206
 
4.3%
4 195
 
4.1%
8 139
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 1441
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6183
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1441
23.3%
0 1311
21.2%
2 726
11.7%
1 524
 
8.5%
6 466
 
7.5%
3 432
 
7.0%
5 424
 
6.9%
9 319
 
5.2%
7 206
 
3.3%
4 195
 
3.2%
Latin
ValueCountFrequency (%)
X 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1441
23.3%
0 1311
21.2%
2 726
11.7%
1 524
 
8.5%
6 466
 
7.5%
3 432
 
7.0%
5 424
 
6.9%
9 319
 
5.2%
7 206
 
3.3%
4 195
 
3.2%
Other values (2) 145
 
2.3%

화확물 (UN) 번호
Text

MISSING 

Distinct123
Distinct (%)17.9%
Missing84
Missing (%)10.9%
Memory size6.1 KiB
2024-03-15T02:33:52.322483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length4
Mean length4.6462882
Min length4

Characters and Unicode

Total characters3192
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)5.7%

Sample

1st row2014
2nd row1230
3rd row1193
4th row3105
5th row1823
ValueCountFrequency (%)
1830 53
 
7.0%
1823 52
 
6.8%
1230 31
 
4.1%
1789 31
 
4.1%
2014 25
 
3.3%
1294 25
 
3.3%
1307 24
 
3.2%
1796 19
 
2.5%
1005 17
 
2.2%
1760 15
 
2.0%
Other values (122) 469
61.6%
2024-03-15T02:33:54.068446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 710
22.2%
2 465
14.6%
0 359
11.2%
8 330
10.3%
3 323
10.1%
7 253
 
7.9%
9 216
 
6.8%
4 140
 
4.4%
6 139
 
4.4%
5 109
 
3.4%
Other values (2) 148
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3044
95.4%
Other Punctuation 74
 
2.3%
Space Separator 74
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 710
23.3%
2 465
15.3%
0 359
11.8%
8 330
10.8%
3 323
10.6%
7 253
 
8.3%
9 216
 
7.1%
4 140
 
4.6%
6 139
 
4.6%
5 109
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 710
22.2%
2 465
14.6%
0 359
11.2%
8 330
10.3%
3 323
10.1%
7 253
 
7.9%
9 216
 
6.8%
4 140
 
4.4%
6 139
 
4.4%
5 109
 
3.4%
Other values (2) 148
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 710
22.2%
2 465
14.6%
0 359
11.2%
8 330
10.3%
3 323
10.1%
7 253
 
7.9%
9 216
 
6.8%
4 140
 
4.4%
6 139
 
4.4%
5 109
 
3.4%
Other values (2) 148
 
4.6%

화확물 상온상태
Text

MISSING 

Distinct54
Distinct (%)7.7%
Missing73
Missing (%)9.5%
Memory size6.1 KiB
2024-03-15T02:33:54.941040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length2
Mean length4.5630372
Min length2

Characters and Unicode

Total characters3185
Distinct characters115
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

Unique20 ?
Unique (%)2.9%

Sample

1st row액체
2nd row액체
3rd row액체(휘발성)
4th row액체
5th row고체
ValueCountFrequency (%)
액체 373
40.2%
고체 156
16.8%
액체(액화가스 35
 
3.8%
분말 26
 
2.8%
기체 24
 
2.6%
또는 22
 
2.4%
결정성 20
 
2.2%
액체(휘발성 17
 
1.8%
결정 16
 
1.7%
고체(분말 16
 
1.7%
Other values (68) 224
24.1%
2024-03-15T02:33:56.219774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 717
22.5%
액 506
15.9%
231
 
7.3%
고 220
 
6.9%
( 153
 
4.8%
) 153
 
4.8%
정 103
 
3.2%
결 80
 
2.5%
성 77
 
2.4%
가 57
 
1.8%
Other values (105) 888
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2495
78.3%
Space Separator 231
 
7.3%
Open Punctuation 153
 
4.8%
Close Punctuation 153
 
4.8%
Other Punctuation 76
 
2.4%
Decimal Number 51
 
1.6%
Uppercase Letter 24
 
0.8%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 717
28.7%
액 506
20.3%
고 220
 
8.8%
정 103
 
4.1%
결 80
 
3.2%
성 77
 
3.1%
가 57
 
2.3%
스 54
 
2.2%
분 48
 
1.9%
말 48
 
1.9%
Other values (90) 585
23.4%
Decimal Number
ValueCountFrequency (%)
4 22
43.1%
3 13
25.5%
9 9
17.6%
1 6
 
11.8%
5 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 56
73.7%
/ 9
 
11.8%
: 6
 
7.9%
. 5
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
C 15
62.5%
F 9
37.5%
Space Separator
ValueCountFrequency (%)
231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2495
78.3%
Common 666
 
20.9%
Latin 24
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 717
28.7%
액 506
20.3%
고 220
 
8.8%
정 103
 
4.1%
결 80
 
3.2%
성 77
 
3.1%
가 57
 
2.3%
스 54
 
2.2%
분 48
 
1.9%
말 48
 
1.9%
Other values (90) 585
23.4%
Common
ValueCountFrequency (%)
231
34.7%
( 153
23.0%
) 153
23.0%
, 56
 
8.4%
4 22
 
3.3%
3 13
 
2.0%
/ 9
 
1.4%
9 9
 
1.4%
1 6
 
0.9%
: 6
 
0.9%
Other values (3) 8
 
1.2%
Latin
ValueCountFrequency (%)
C 15
62.5%
F 9
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2495
78.3%
ASCII 690
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 717
28.7%
액 506
20.3%
고 220
 
8.8%
정 103
 
4.1%
결 80
 
3.2%
성 77
 
3.1%
가 57
 
2.3%
스 54
 
2.2%
분 48
 
1.9%
말 48
 
1.9%
Other values (90) 585
23.4%
ASCII
ValueCountFrequency (%)
231
33.5%
( 153
22.2%
) 153
22.2%
, 56
 
8.1%
4 22
 
3.2%
C 15
 
2.2%
3 13
 
1.9%
F 9
 
1.3%
/ 9
 
1.3%
9 9
 
1.3%
Other values (5) 20
 
2.9%

화확물 색상
Text

MISSING 

Distinct84
Distinct (%)12.1%
Missing79
Missing (%)10.2%
Memory size6.1 KiB
2024-03-15T02:33:57.086322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length2
Mean length5.6676301
Min length2

Characters and Unicode

Total characters3922
Distinct characters113
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

Unique32 ?
Unique (%)4.6%

Sample

1st row무색
2nd row무색
3rd row무색 투명
4th row무채색에서 노란색
5th row백색
ValueCountFrequency (%)
무색 418
32.9%
또는 155
 
12.2%
백색 126
 
9.9%
황색 54
 
4.2%
흰색 38
 
3.0%
무채색 37
 
2.9%
무색투명 36
 
2.8%
투명 29
 
2.3%
노란색 24
 
1.9%
담황색 21
 
1.7%
Other values (87) 333
26.2%
2024-03-15T02:33:58.287859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 1008
25.7%
579
14.8%
무 539
13.7%
는 164
 
4.2%
또 155
 
4.0%
백 137
 
3.5%
황 128
 
3.3%
, 103
 
2.6%
투 73
 
1.9%
명 73
 
1.9%
Other values (103) 963
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3156
80.5%
Space Separator 579
 
14.8%
Other Punctuation 147
 
3.7%
Open Punctuation 20
 
0.5%
Close Punctuation 20
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 1008
31.9%
무 539
17.1%
는 164
 
5.2%
또 155
 
4.9%
백 137
 
4.3%
황 128
 
4.1%
투 73
 
2.3%
명 73
 
2.3%
은 63
 
2.0%
채 60
 
1.9%
Other values (97) 756
24.0%
Other Punctuation
ValueCountFrequency (%)
, 103
70.1%
: 39
 
26.5%
/ 5
 
3.4%
Space Separator
ValueCountFrequency (%)
579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3156
80.5%
Common 766
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 1008
31.9%
무 539
17.1%
는 164
 
5.2%
또 155
 
4.9%
백 137
 
4.3%
황 128
 
4.1%
투 73
 
2.3%
명 73
 
2.3%
은 63
 
2.0%
채 60
 
1.9%
Other values (97) 756
24.0%
Common
ValueCountFrequency (%)
579
75.6%
, 103
 
13.4%
: 39
 
5.1%
( 20
 
2.6%
) 20
 
2.6%
/ 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3156
80.5%
ASCII 766
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 1008
31.9%
무 539
17.1%
는 164
 
5.2%
또 155
 
4.9%
백 137
 
4.3%
황 128
 
4.1%
투 73
 
2.3%
명 73
 
2.3%
은 63
 
2.0%
채 60
 
1.9%
Other values (97) 756
24.0%
ASCII
ValueCountFrequency (%)
579
75.6%
, 103
 
13.4%
: 39
 
5.1%
( 20
 
2.6%
) 20
 
2.6%
/ 5
 
0.7%

화확물 냄새
Text

MISSING 

Distinct63
Distinct (%)9.5%
Missing105
Missing (%)13.6%
Memory size6.1 KiB
2024-03-15T02:33:59.541788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length8.6231231
Min length2

Characters and Unicode

Total characters5743
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.7%

Sample

1st row무취
2nd row알코올 냄새
3rd row박하 및 달콤한 냄새, 아세톤 냄새
4th row아세톤 냄새와 유사함,방향성의 박하향과 유사한 냄새
5th row무취
ValueCountFrequency (%)
냄새 238
 
14.3%
무취 198
 
11.9%
자극성 111
 
6.7%
악취 95
 
5.7%
향 74
 
4.5%
달콤한 70
 
4.2%
냄새가 57
 
3.4%
뜨겨워지면 53
 
3.2%
숨막히는 53
 
3.2%
남 53
 
3.2%
Other values (74) 658
39.6%
2024-03-15T02:34:01.059176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
994
 
17.3%
취 372
 
6.5%
새 348
 
6.1%
냄 348
 
6.1%
무 251
 
4.4%
한 173
 
3.0%
자 165
 
2.9%
극 165
 
2.9%
성 126
 
2.2%
는 124
 
2.2%
Other values (129) 2677
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4368
76.1%
Space Separator 994
 
17.3%
Other Punctuation 202
 
3.5%
Lowercase Letter 105
 
1.8%
Decimal Number 46
 
0.8%
Close Punctuation 14
 
0.2%
Open Punctuation 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
취 372
 
8.5%
새 348
 
8.0%
냄 348
 
8.0%
무 251
 
5.7%
한 173
 
4.0%
자 165
 
3.8%
극 165
 
3.8%
성 126
 
2.9%
는 124
 
2.8%
향 110
 
2.5%
Other values (107) 2186
50.0%
Lowercase Letter
ValueCountFrequency (%)
p 46
43.8%
m 23
21.9%
e 9
 
8.6%
d 6
 
5.7%
z 3
 
2.9%
h 3
 
2.9%
l 3
 
2.9%
a 3
 
2.9%
n 3
 
2.9%
b 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 77
38.1%
* 69
34.2%
: 46
22.8%
. 10
 
5.0%
Decimal Number
ValueCountFrequency (%)
3 13
28.3%
4 13
28.3%
0 10
21.7%
1 10
21.7%
Space Separator
ValueCountFrequency (%)
994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4368
76.1%
Common 1270
 
22.1%
Latin 105
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
취 372
 
8.5%
새 348
 
8.0%
냄 348
 
8.0%
무 251
 
5.7%
한 173
 
4.0%
자 165
 
3.8%
극 165
 
3.8%
성 126
 
2.9%
는 124
 
2.8%
향 110
 
2.5%
Other values (107) 2186
50.0%
Common
ValueCountFrequency (%)
994
78.3%
, 77
 
6.1%
* 69
 
5.4%
: 46
 
3.6%
) 14
 
1.1%
( 14
 
1.1%
3 13
 
1.0%
4 13
 
1.0%
0 10
 
0.8%
. 10
 
0.8%
Latin
ValueCountFrequency (%)
p 46
43.8%
m 23
21.9%
e 9
 
8.6%
d 6
 
5.7%
z 3
 
2.9%
h 3
 
2.9%
l 3
 
2.9%
a 3
 
2.9%
n 3
 
2.9%
b 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4368
76.1%
ASCII 1375
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
994
72.3%
, 77
 
5.6%
* 69
 
5.0%
: 46
 
3.3%
p 46
 
3.3%
m 23
 
1.7%
) 14
 
1.0%
( 14
 
1.0%
3 13
 
0.9%
4 13
 
0.9%
Other values (12) 66
 
4.8%
Hangul
ValueCountFrequency (%)
취 372
 
8.5%
새 348
 
8.0%
냄 348
 
8.0%
무 251
 
5.7%
한 173
 
4.0%
자 165
 
3.8%
극 165
 
3.8%
성 126
 
2.9%
는 124
 
2.8%
향 110
 
2.5%
Other values (107) 2186
50.0%

사용용도설명
Text

MISSING 

Distinct143
Distinct (%)20.8%
Missing83
Missing (%)10.8%
Memory size6.1 KiB
2024-03-15T02:34:02.364559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length283
Median length107
Mean length55.463663
Min length2

Characters and Unicode

Total characters38159
Distinct characters416
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)8.0%

Sample

1st row표백제, 소독제 및 아세톤, 과산화벤졸, 단추, 로켓연료, 스폰지 고무, 살균제의 원료로 사용되며 밀가루, 과일, 모피, 접착제, 머리카락, 비누, 상아, 비단, 뼈, 젤라틴, 섬유, 나무펄프의 표백제 및 자급식호흡용보호구의 산소발생매체
2nd row용매, 추출제
3rd row질산셀룰로이드 또는 각종 합성수지용제, 락카용 용제, 인쇄용 잉크, 인조피혁, 세정제, 가황촉진제, 윤활유 용제, 캐톤류, 아민류 합성중간체
4th row연화제, 경화촉진제, 안료, 도료, 잉크 및 그 첨가제
5th row인견.인조섬유.합성섬유 등의 제조, 염료.향료.의약품의 제조, 석유.타르 등의 정제, 종이.펄프의 제조, 중화제, 염색제, 각종 소다염류의 제조
ValueCountFrequency (%)
제조 386
 
5.1%
및 162
 
2.2%
등의 153
 
2.0%
염료 138
 
1.8%
등 117
 
1.6%
각종 107
 
1.4%
용매 95
 
1.3%
폭약 94
 
1.3%
합성원료 92
 
1.2%
의약품 89
 
1.2%
Other values (795) 6067
80.9%
2024-03-15T02:34:03.925994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6825
 
17.9%
, 3804
 
10.0%
제 2363
 
6.2%
의 1133
 
3.0%
료 847
 
2.2%
조 836
 
2.2%
화 711
 
1.9%
합 614
 
1.6%
유 605
 
1.6%
약 570
 
1.5%
Other values (406) 19851
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25747
67.5%
Space Separator 6825
 
17.9%
Other Punctuation 4344
 
11.4%
Lowercase Letter 669
 
1.8%
Open Punctuation 228
 
0.6%
Close Punctuation 228
 
0.6%
Uppercase Letter 60
 
0.2%
Decimal Number 30
 
0.1%
Dash Punctuation 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 2363
 
9.2%
의 1133
 
4.4%
료 847
 
3.3%
조 836
 
3.2%
화 711
 
2.8%
합 614
 
2.4%
유 605
 
2.3%
약 570
 
2.2%
성 512
 
2.0%
용 481
 
1.9%
Other values (354) 17075
66.3%
Lowercase Letter
ValueCountFrequency (%)
e 113
16.9%
o 68
10.2%
p 55
8.2%
n 54
8.1%
a 48
 
7.2%
i 46
 
6.9%
r 44
 
6.6%
s 37
 
5.5%
l 36
 
5.4%
y 36
 
5.4%
Other values (12) 132
19.7%
Uppercase Letter
ValueCountFrequency (%)
D 13
21.7%
M 11
18.3%
F 8
13.3%
B 6
10.0%
A 4
 
6.7%
S 4
 
6.7%
R 4
 
6.7%
E 3
 
5.0%
N 2
 
3.3%
H 2
 
3.3%
Other values (2) 3
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 3804
87.6%
. 351
 
8.1%
/ 106
 
2.4%
: 44
 
1.0%
; 32
 
0.7%
& 6
 
0.1%
# 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 9
30.0%
2 7
23.3%
1 5
16.7%
6 4
13.3%
5 3
 
10.0%
8 1
 
3.3%
3 1
 
3.3%
Space Separator
ValueCountFrequency (%)
6825
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25741
67.5%
Common 11683
30.6%
Latin 729
 
1.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 2363
 
9.2%
의 1133
 
4.4%
료 847
 
3.3%
조 836
 
3.2%
화 711
 
2.8%
합 614
 
2.4%
유 605
 
2.4%
약 570
 
2.2%
성 512
 
2.0%
용 481
 
1.9%
Other values (350) 17069
66.3%
Latin
ValueCountFrequency (%)
e 113
15.5%
o 68
 
9.3%
p 55
 
7.5%
n 54
 
7.4%
a 48
 
6.6%
i 46
 
6.3%
r 44
 
6.0%
s 37
 
5.1%
l 36
 
4.9%
y 36
 
4.9%
Other values (24) 192
26.3%
Common
ValueCountFrequency (%)
6825
58.4%
, 3804
32.6%
. 351
 
3.0%
( 228
 
2.0%
) 228
 
2.0%
/ 106
 
0.9%
: 44
 
0.4%
; 32
 
0.3%
- 28
 
0.2%
4 9
 
0.1%
Other values (8) 28
 
0.2%
Han
ValueCountFrequency (%)
器 2
33.3%
磁 2
33.3%
伸 1
16.7%
銅 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25741
67.5%
ASCII 12412
32.5%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6825
55.0%
, 3804
30.6%
. 351
 
2.8%
( 228
 
1.8%
) 228
 
1.8%
e 113
 
0.9%
/ 106
 
0.9%
o 68
 
0.5%
p 55
 
0.4%
n 54
 
0.4%
Other values (42) 580
 
4.7%
Hangul
ValueCountFrequency (%)
제 2363
 
9.2%
의 1133
 
4.4%
료 847
 
3.3%
조 836
 
3.2%
화 711
 
2.8%
합 614
 
2.4%
유 605
 
2.4%
약 570
 
2.2%
성 512
 
2.0%
용 481
 
1.9%
Other values (350) 17069
66.3%
CJK
ValueCountFrequency (%)
器 2
33.3%
磁 2
33.3%
伸 1
16.7%
銅 1
16.7%

Sample

국가산단 기업명국가산단 구분시명구군명동명리명번지도로명건물 본번건물 부번국가산단 기업 위치정보(X)국가산단 기업 위치정보(Y)화학물질 한글명화학물질 영문명(CAS) 번호저장용량화확물 (RETECS) 번호화확물 (EC) 번호화확물 (UN) 번호화확물 상온상태화확물 색상화확물 냄새사용용도설명
0(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778과산화 수소Hydrogen peroxide7722-84-1100MX0900000008-003-00-92014액체무색무취표백제, 소독제 및 아세톤, 과산화벤졸, 단추, 로켓연료, 스폰지 고무, 살균제의 원료로 사용되며 밀가루, 과일, 모피, 접착제, 머리카락, 비누, 상아, 비단, 뼈, 젤라틴, 섬유, 나무펄프의 표백제 및 자급식호흡용보호구의 산소발생매체
1(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778메탄올Methanol67-56-1220PC1400000200-659-61230액체무색알코올 냄새용매, 추출제
2(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778메틸 에틸 케톤Methyl ethyl ketone78-93-3100EL6475000201-159-01193액체(휘발성)무색 투명박하 및 달콤한 냄새, 아세톤 냄새질산셀룰로이드 또는 각종 합성수지용제, 락카용 용제, 인쇄용 잉크, 인조피혁, 세정제, 가황촉진제, 윤활유 용제, 캐톤류, 아민류 합성중간체
3(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778메틸 에틸 케톤 과산화물Methyl ethyl ketone peroxide1338-23-4150EL9450000215-661-23105액체무채색에서 노란색아세톤 냄새와 유사함,방향성의 박하향과 유사한 냄새연화제, 경화촉진제, 안료, 도료, 잉크 및 그 첨가제
4(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778수산화나트륨Sodium hydroxide1310-73-2100WB4900000011-002-00-61823고체백색무취인견.인조섬유.합성섬유 등의 제조, 염료.향료.의약품의 제조, 석유.타르 등의 정제, 종이.펄프의 제조, 중화제, 염색제, 각종 소다염류의 제조
5(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778자일렌Xylene1330-20-7300ZE2100000601-022-00-91307액체무색이상한 악취용매, 염료, 농약, 향료, 에폭시수지(epoxy resin), 석유정제, 유기합성원료, 피혁제조, 의약품
6(주)금정온산지점O울산광역시남구가대동가대동753-19산남길1722412679.0985315601.9778톨루엔Toluene108-88-35XS5250000203-625-91294액체무색투명자극성 냄새폭약, 염료, 인공가죽제조, 용매, 화장품, 세제, 향료
7(주)네오O울산광역시남구가대동가대동118-2우봉길392414024.9554314507.2975메탄올Methanol67-56-1420톤PC1400000200-659-61230액체무색알코올 냄새용매, 추출제
8(주)네오O울산광역시남구가대동가대동118-2우봉길392414024.9554314507.2975메탄올Methanol67-56-1720톤PC1400000200-659-61230액체무색알코올 냄새용매, 추출제
9(주)네오O울산광역시남구가대동가대동118-2우봉길392414024.9554314507.2975수산화나트륨Sodium hydroxide1310-73-26톤WB4900000011-002-00-61823고체백색무취인견.인조섬유.합성섬유 등의 제조, 염료.향료.의약품의 제조, 석유.타르 등의 정제, 종이.펄프의 제조, 중화제, 염색제, 각종 소다염류의 제조
국가산단 기업명국가산단 구분시명구군명동명리명번지도로명건물 본번건물 부번국가산단 기업 위치정보(X)국가산단 기업 위치정보(Y)화학물질 한글명화학물질 영문명(CAS) 번호저장용량화확물 (RETECS) 번호화확물 (EC) 번호화확물 (UN) 번호화확물 상온상태화확물 색상화확물 냄새사용용도설명
761해원산업(주)O울산광역시남구가대동가대동1281화산로2630411391.4016317696.9202수산화 칼륨Potassium hydroxide1310-58-3<NA>TT2100000<NA>1813고체백색 또는 무색무취식품제조시 첨가물, 유기합성원료
762헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657메틸 에틸 케톤Methyl ethyl ketone78-93-3<NA>EL6475000201-159-01193액체(휘발성)무색 투명박하 및 달콤한 냄새, 아세톤 냄새질산셀룰로이드 또는 각종 합성수지용제, 락카용 용제, 인쇄용 잉크, 인조피혁, 세정제, 가황촉진제, 윤활유 용제, 캐톤류, 아민류 합성중간체
763헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657수산화나트륨Sodium hydroxide1310-73-24032WB4900000011-002-00-61823고체백색무취인견.인조섬유.합성섬유 등의 제조, 염료.향료.의약품의 제조, 석유.타르 등의 정제, 종이.펄프의 제조, 중화제, 염색제, 각종 소다염류의 제조
764헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657수산화나트륨Sodium hydroxide1310-73-2<NA>WB4900000011-002-00-61823고체백색무취인견.인조섬유.합성섬유 등의 제조, 염료.향료.의약품의 제조, 석유.타르 등의 정제, 종이.펄프의 제조, 중화제, 염색제, 각종 소다염류의 제조
765헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657에피클로로히드린Epichlorohydrin106-89-83780TX4900000603-026-00-62023액체무색달콤한 냄새, 자극성 악취살충제, 에폭시수지(epoxy resin), 이온교환수지, 글리세린제조, 직물첨가제(유연제), 계면활성제, 접착제, 표면처리제, 용매, 염료, 윤활유
766헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657에피클로로히드린Epichlorohydrin106-89-8<NA>TX4900000603-026-00-62023액체무색달콤한 냄새, 자극성 악취살충제, 에폭시수지(epoxy resin), 이온교환수지, 글리세린제조, 직물첨가제(유연제), 계면활성제, 접착제, 표면처리제, 용매, 염료, 윤활유
767헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657염화테트라메틸암모늄Tetramethylammonium chloride75-57-0332BS7700000<NA><NA>고체흰색무취<NA>
768헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657페놀Phenol108-95-2<NA>SJ3325000203-632-71671, 2821고체무색 또는 백색달콤한 향 또는 타르냄새페놀수지, 살균제, 화학중간체, 의약품원료, 합성섬유, 합성세제, 농약
769헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657폼알데하이드Formaldehyde50-00-0<NA>LP8925000200-001-81198액체무색투명자극성 악취살충제, 살균제, 소독제, 의약품, 합성수지원료, 합성섬유원료, 유기합성원료
770헥시온코리아(주)O울산광역시남구가대동가대동580-3이진로190411519.03317163.6657폼알데하이드 1,3-벤젠디메탄아민과 페놀의 중합체Formaldehyde polymer with 1,3-benzenedimethanamine and phenol57214-10-5<NA><NA><NA><NA><NA><NA><NA><NA>