Overview

Dataset statistics

Number of variables7
Number of observations136
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory58.9 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description군산시 화학물질 영업허가 사업장 정보로 업체명, 소재지, 전화번호, 허가업종, 주요취급물질 등의 항목을 제공합니다.
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/15102000/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:13:54.401192
Analysis finished2024-03-14 12:13:56.816934
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct136
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.5
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T21:13:56.950533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.75
Q134.75
median68.5
Q3102.25
95-th percentile129.25
Maximum136
Range135
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation39.403892
Coefficient of variation (CV)0.57523929
Kurtosis-1.2
Mean68.5
Median Absolute Deviation (MAD)34
Skewness0
Sum9316
Variance1552.6667
MonotonicityStrictly increasing
2024-03-14T21:13:57.221255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
70 1
 
0.7%
Other values (126) 126
92.6%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%

업체명
Text

Distinct99
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T21:13:58.023081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length10.007353
Min length4

Characters and Unicode

Total characters1361
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)51.5%

Sample

1st row(주)세아베스틸
2nd rowOCI(주)군산공장
3rd rowOCI(주)군산공장
4th row대상주식회사 군산공장 (대상(주)(바이오))
5th row대상(주)라이신공장
ValueCountFrequency (%)
주식회사 20
 
9.5%
군산 10
 
4.7%
군산공장 10
 
4.7%
군산지점 5
 
2.4%
2공장 4
 
1.9%
대덕가스㈜ 4
 
1.9%
주)제이아이테크 3
 
1.4%
주)은진캐미컬 3
 
1.4%
광배산업(주 3
 
1.4%
주)한농화성 3
 
1.4%
Other values (110) 146
69.2%
2024-03-14T21:13:59.315083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 84
 
6.2%
( 78
 
5.7%
) 78
 
5.7%
75
 
5.5%
산 54
 
4.0%
㈜ 46
 
3.4%
군 39
 
2.9%
이 37
 
2.7%
스 34
 
2.5%
공 29
 
2.1%
Other values (177) 807
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1046
76.9%
Open Punctuation 79
 
5.8%
Close Punctuation 79
 
5.8%
Space Separator 75
 
5.5%
Other Symbol 46
 
3.4%
Uppercase Letter 17
 
1.2%
Decimal Number 10
 
0.7%
Other Punctuation 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
8.0%
산 54
 
5.2%
군 39
 
3.7%
이 37
 
3.5%
스 34
 
3.3%
공 29
 
2.8%
사 28
 
2.7%
회 26
 
2.5%
장 26
 
2.5%
지 23
 
2.2%
Other values (160) 666
63.7%
Uppercase Letter
ValueCountFrequency (%)
O 4
23.5%
C 4
23.5%
I 4
23.5%
E 2
11.8%
S 1
 
5.9%
K 1
 
5.9%
H 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 78
98.7%
[ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 78
98.7%
] 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 8
80.0%
1 2
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
. 4
44.4%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1092
80.2%
Common 252
 
18.5%
Latin 17
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
7.7%
산 54
 
4.9%
㈜ 46
 
4.2%
군 39
 
3.6%
이 37
 
3.4%
스 34
 
3.1%
공 29
 
2.7%
사 28
 
2.6%
회 26
 
2.4%
장 26
 
2.4%
Other values (161) 689
63.1%
Common
ValueCountFrequency (%)
( 78
31.0%
) 78
31.0%
75
29.8%
2 8
 
3.2%
, 5
 
2.0%
. 4
 
1.6%
1 2
 
0.8%
] 1
 
0.4%
[ 1
 
0.4%
Latin
ValueCountFrequency (%)
O 4
23.5%
C 4
23.5%
I 4
23.5%
E 2
11.8%
S 1
 
5.9%
K 1
 
5.9%
H 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1046
76.9%
ASCII 269
 
19.8%
None 46
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 84
 
8.0%
산 54
 
5.2%
군 39
 
3.7%
이 37
 
3.5%
스 34
 
3.3%
공 29
 
2.8%
사 28
 
2.7%
회 26
 
2.5%
장 26
 
2.5%
지 23
 
2.2%
Other values (160) 666
63.7%
ASCII
ValueCountFrequency (%)
( 78
29.0%
) 78
29.0%
75
27.9%
2 8
 
3.0%
, 5
 
1.9%
. 4
 
1.5%
O 4
 
1.5%
C 4
 
1.5%
I 4
 
1.5%
1 2
 
0.7%
Other values (6) 7
 
2.6%
None
ValueCountFrequency (%)
㈜ 46
100.0%

소재지
Text

Distinct96
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T21:14:00.405745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length24.882353
Min length18

Characters and Unicode

Total characters3384
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)47.8%

Sample

1st row전북특별자치도 군산시 외항로 522(소룡동)
2nd row전북특별자치도 군산시 외항로 82
3rd row전북특별자치도 군산시 외항로 82
4th row전북특별자치도 군산시 외항1길 208
5th row전북특별자치도 군산시 외항4길 57 (소룡동)
ValueCountFrequency (%)
전북특별자치도 136
23.2%
군산시 134
22.9%
외항로 18
 
3.1%
오식도동 18
 
3.1%
소룡동 10
 
1.7%
외항1길 10
 
1.7%
산단동서로 9
 
1.5%
무역로 8
 
1.4%
자유로 8
 
1.4%
중가도길 7
 
1.2%
Other values (138) 228
38.9%
2024-03-14T21:14:01.782084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
 
13.4%
도 215
 
6.4%
산 172
 
5.1%
자 157
 
4.6%
북 148
 
4.4%
군 143
 
4.2%
시 138
 
4.1%
전 136
 
4.0%
치 136
 
4.0%
특 136
 
4.0%
Other values (75) 1550
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2244
66.3%
Space Separator 453
 
13.4%
Decimal Number 446
 
13.2%
Open Punctuation 99
 
2.9%
Close Punctuation 99
 
2.9%
Dash Punctuation 36
 
1.1%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 215
 
9.6%
산 172
 
7.7%
자 157
 
7.0%
북 148
 
6.6%
군 143
 
6.4%
시 138
 
6.1%
전 136
 
6.1%
치 136
 
6.1%
특 136
 
6.1%
별 136
 
6.1%
Other values (59) 727
32.4%
Decimal Number
ValueCountFrequency (%)
1 91
20.4%
3 80
17.9%
2 54
12.1%
4 47
10.5%
9 42
9.4%
0 34
 
7.6%
5 29
 
6.5%
7 29
 
6.5%
6 20
 
4.5%
8 20
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
453
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2244
66.3%
Common 1140
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 215
 
9.6%
산 172
 
7.7%
자 157
 
7.0%
북 148
 
6.6%
군 143
 
6.4%
시 138
 
6.1%
전 136
 
6.1%
치 136
 
6.1%
특 136
 
6.1%
별 136
 
6.1%
Other values (59) 727
32.4%
Common
ValueCountFrequency (%)
453
39.7%
( 99
 
8.7%
) 99
 
8.7%
1 91
 
8.0%
3 80
 
7.0%
2 54
 
4.7%
4 47
 
4.1%
9 42
 
3.7%
- 36
 
3.2%
0 34
 
3.0%
Other values (6) 105
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2244
66.3%
ASCII 1140
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
39.7%
( 99
 
8.7%
) 99
 
8.7%
1 91
 
8.0%
3 80
 
7.0%
2 54
 
4.7%
4 47
 
4.1%
9 42
 
3.7%
- 36
 
3.2%
0 34
 
3.0%
Other values (6) 105
 
9.2%
Hangul
ValueCountFrequency (%)
도 215
 
9.6%
산 172
 
7.7%
자 157
 
7.0%
북 148
 
6.6%
군 143
 
6.4%
시 138
 
6.1%
전 136
 
6.1%
치 136
 
6.1%
특 136
 
6.1%
별 136
 
6.1%
Other values (59) 727
32.4%

전화번호
Text

Distinct97
Distinct (%)71.9%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-03-14T21:14:02.782116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02963
Min length12

Characters and Unicode

Total characters1624
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

Unique69 ?
Unique (%)51.1%

Sample

1st row063-460-8343
2nd row063-460-6122
3rd row063-460-6122
4th row063-469-2261
5th row063-912-4572
ValueCountFrequency (%)
063-462-2455 4
 
3.0%
063-464-3712 4
 
3.0%
063-731-0088 3
 
2.2%
063-461-2236 3
 
2.2%
063-468-6363 3
 
2.2%
063-462-8460 3
 
2.2%
063-467-9751 3
 
2.2%
063-465-1868 3
 
2.2%
063-440-7114 2
 
1.5%
063-464-3541 2
 
1.5%
Other values (87) 105
77.8%
2024-03-14T21:14:04.186675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 270
16.6%
6 268
16.5%
0 229
14.1%
3 202
12.4%
4 194
11.9%
1 102
 
6.3%
7 93
 
5.7%
2 84
 
5.2%
5 76
 
4.7%
8 70
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1354
83.4%
Dash Punctuation 270
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 268
19.8%
0 229
16.9%
3 202
14.9%
4 194
14.3%
1 102
 
7.5%
7 93
 
6.9%
2 84
 
6.2%
5 76
 
5.6%
8 70
 
5.2%
9 36
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 270
16.6%
6 268
16.5%
0 229
14.1%
3 202
12.4%
4 194
11.9%
1 102
 
6.3%
7 93
 
5.7%
2 84
 
5.2%
5 76
 
4.7%
8 70
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 270
16.6%
6 268
16.5%
0 229
14.1%
3 202
12.4%
4 194
11.9%
1 102
 
6.3%
7 93
 
5.7%
2 84
 
5.2%
5 76
 
4.7%
8 70
 
4.3%

허가업종
Categorical

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사용
68 
제조
28 
운반
20 
판매
15 
보관저장
 
3

Length

Max length4
Median length2
Mean length2.0588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용
2nd row제조
3rd row사용
4th row사용
5th row사용

Common Values

ValueCountFrequency (%)
사용 68
50.0%
제조 28
20.6%
운반 20
 
14.7%
판매 15
 
11.0%
보관저장 3
 
2.2%
준알선 2
 
1.5%

Length

2024-03-14T21:14:04.641632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:14:05.008735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용 68
50.0%
제조 28
20.6%
운반 20
 
14.7%
판매 15
 
11.0%
보관저장 3
 
2.2%
준알선 2
 
1.5%

취급물질
Text

Distinct119
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T21:14:05.737105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length551
Median length93
Mean length50.404412
Min length2

Characters and Unicode

Total characters6855
Distinct characters243
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)80.1%

Sample

1st row염산
2nd row염산+수산화나트륨+3(또는4)톨루엔-1+2-디아민+톨루엔디이소시아네이트+톨루엔-2+4-디이소시아네이트+테트라클로로실리콘+트리클로로실란
3rd row황산+질산+포름알데하이드+인+2+4-디니트로톨루엔+과산화수소+플루오르화수소+산화니켈+하이드로퀴논+무수크롬산+황산니켈 6수화물+수산화칼륨+청화은칼륨+오황화인+청화가리+염소+일산화탄소+포스겐+염화수소+수산화나트륨+플루오르화수소(폐불산)+플루오르화수소+질산(폐혼산)+트리클로로실란+붕산+니켈 설파민산(술팜산 니켈)
4th row수산화나트륨+염산+황산+메탄올+벤잘콘이움클로라이드
5th row수산화나트륨+염산+황산
ValueCountFrequency (%)
염산 7
 
2.5%
톨루엔 5
 
1.8%
수산화나트륨+염산 3
 
1.1%
스티렌 3
 
1.1%
황산 3
 
1.1%
수산화나트륨 3
 
1.1%
염산+수산화나트륨 3
 
1.1%
황산+수산화나트륨 3
 
1.1%
암모니아수 2
 
0.7%
황색 2
 
0.7%
Other values (223) 245
87.8%
2024-03-14T21:14:06.948981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 835
 
12.2%
산 443
 
6.5%
- 262
 
3.8%
화 250
 
3.6%
트 225
 
3.3%
수 197
 
2.9%
로 167
 
2.4%
륨 149
 
2.2%
아 147
 
2.1%
146
 
2.1%
Other values (233) 4034
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5031
73.4%
Math Symbol 835
 
12.2%
Decimal Number 302
 
4.4%
Dash Punctuation 262
 
3.8%
Space Separator 146
 
2.1%
Close Punctuation 87
 
1.3%
Open Punctuation 85
 
1.2%
Uppercase Letter 46
 
0.7%
Lowercase Letter 39
 
0.6%
Other Punctuation 8
 
0.1%
Other values (3) 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 443
 
8.8%
화 250
 
5.0%
트 225
 
4.5%
수 197
 
3.9%
로 167
 
3.3%
륨 149
 
3.0%
아 147
 
2.9%
틸 144
 
2.9%
이 140
 
2.8%
메 133
 
2.6%
Other values (177) 3036
60.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.4%
t 4
10.3%
y 4
10.3%
r 3
 
7.7%
d 3
 
7.7%
l 3
 
7.7%
η 2
 
5.1%
n 2
 
5.1%
h 2
 
5.1%
m 1
 
2.6%
Other values (9) 9
23.1%
Uppercase Letter
ValueCountFrequency (%)
N 19
41.3%
A 10
21.7%
S 2
 
4.3%
C 2
 
4.3%
H 2
 
4.3%
M 2
 
4.3%
I 2
 
4.3%
O 2
 
4.3%
P 1
 
2.2%
B 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
2 94
31.1%
1 72
23.8%
4 70
23.2%
3 32
 
10.6%
6 16
 
5.3%
5 12
 
4.0%
8 2
 
0.7%
0 2
 
0.7%
7 1
 
0.3%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 2
25.0%
' 2
25.0%
＇ 2
25.0%
% 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 78
89.7%
] 9
 
10.3%
Open Punctuation
ValueCountFrequency (%)
( 76
89.4%
[ 9
 
10.6%
Math Symbol
ValueCountFrequency (%)
+ 835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5031
73.4%
Common 1739
 
25.4%
Latin 82
 
1.2%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 443
 
8.8%
화 250
 
5.0%
트 225
 
4.5%
수 197
 
3.9%
로 167
 
3.3%
륨 149
 
3.0%
아 147
 
2.9%
틸 144
 
2.9%
이 140
 
2.8%
메 133
 
2.6%
Other values (177) 3036
60.3%
Latin
ValueCountFrequency (%)
N 19
23.2%
A 10
 
12.2%
e 6
 
7.3%
t 4
 
4.9%
y 4
 
4.9%
r 3
 
3.7%
d 3
 
3.7%
l 3
 
3.7%
S 2
 
2.4%
C 2
 
2.4%
Other values (20) 26
31.7%
Common
ValueCountFrequency (%)
+ 835
48.0%
- 262
 
15.1%
146
 
8.4%
2 94
 
5.4%
) 78
 
4.5%
( 76
 
4.4%
1 72
 
4.1%
4 70
 
4.0%
3 32
 
1.8%
6 16
 
0.9%
Other values (14) 58
 
3.3%
Greek
ValueCountFrequency (%)
η 2
66.7%
κ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5031
73.4%
ASCII 1812
 
26.4%
Punctuation 7
 
0.1%
None 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 835
46.1%
- 262
 
14.5%
146
 
8.1%
2 94
 
5.2%
) 78
 
4.3%
( 76
 
4.2%
1 72
 
4.0%
4 70
 
3.9%
3 32
 
1.8%
N 19
 
1.0%
Other values (41) 128
 
7.1%
Hangul
ValueCountFrequency (%)
산 443
 
8.8%
화 250
 
5.0%
트 225
 
4.5%
수 197
 
3.9%
로 167
 
3.3%
륨 149
 
3.0%
아 147
 
2.9%
틸 144
 
2.9%
이 140
 
2.8%
메 133
 
2.6%
Other values (177) 3036
60.3%
Punctuation
ValueCountFrequency (%)
’ 4
57.1%
‘ 3
42.9%
None
ValueCountFrequency (%)
η 2
40.0%
＇ 2
40.0%
κ 1
20.0%

연간취급량(톤)
Real number (ℝ)

Distinct129
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40401.984
Minimum0.015
Maximum750722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T21:14:07.346204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.015
5-th percentile28.35
Q1503.4675
median2785
Q326210.25
95-th percentile198300
Maximum750722
Range750721.98
Interquartile range (IQR)25706.783

Descriptive statistics

Standard deviation100096.1
Coefficient of variation (CV)2.4775046
Kurtosis25.483119
Mean40401.984
Median Absolute Deviation (MAD)2720.1
Skewness4.566967
Sum5494669.8
Variance1.0019229 × 1010
MonotonicityNot monotonic
2024-03-14T21:14:07.799728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
960.0 3
 
2.2%
1320.0 3
 
2.2%
325.0 2
 
1.5%
0.015 2
 
1.5%
53.3 2
 
1.5%
36588.0 1
 
0.7%
60000.0 1
 
0.7%
337.7 1
 
0.7%
90.18 1
 
0.7%
103200.0 1
 
0.7%
Other values (119) 119
87.5%
ValueCountFrequency (%)
0.015 2
1.5%
0.35 1
0.7%
0.5 1
0.7%
14.9 1
0.7%
19.0 1
0.7%
20.4 1
0.7%
31.0 1
0.7%
36.0 1
0.7%
48.0 1
0.7%
53.3 2
1.5%
ValueCountFrequency (%)
750722.0 1
0.7%
590400.0 1
0.7%
386123.0 1
0.7%
307027.2 1
0.7%
225336.0 1
0.7%
215845.1 1
0.7%
208200.0 1
0.7%
195000.0 1
0.7%
180000.0 1
0.7%
158000.0 1
0.7%

Interactions

2024-03-14T21:13:55.985814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:13:55.459994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:13:56.263588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:13:55.719512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:14:08.072630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명소재지전화번호허가업종연간취급량(톤)
연번1.0000.9940.9930.9870.1520.260
업체명0.9941.0001.0001.0000.0000.000
소재지0.9931.0001.0001.0000.0000.480
전화번호0.9871.0001.0001.0000.5400.905
허가업종0.1520.0000.0000.5401.0000.421
연간취급량(톤)0.2600.0000.4800.9050.4211.000
2024-03-14T21:14:08.340958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연간취급량(톤)허가업종
연번1.000-0.2450.041
연간취급량(톤)-0.2451.0000.247
허가업종0.0410.2471.000

Missing values

2024-03-14T21:13:56.533190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:13:56.736597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업체명소재지전화번호허가업종취급물질연간취급량(톤)
01(주)세아베스틸전북특별자치도 군산시 외항로 522(소룡동)063-460-8343사용염산31.0
12OCI(주)군산공장전북특별자치도 군산시 외항로 82063-460-6122제조염산+수산화나트륨+3(또는4)톨루엔-1+2-디아민+톨루엔디이소시아네이트+톨루엔-2+4-디이소시아네이트+테트라클로로실리콘+트리클로로실란590400.0
23OCI(주)군산공장전북특별자치도 군산시 외항로 82063-460-6122사용황산+질산+포름알데하이드+인+2+4-디니트로톨루엔+과산화수소+플루오르화수소+산화니켈+하이드로퀴논+무수크롬산+황산니켈 6수화물+수산화칼륨+청화은칼륨+오황화인+청화가리+염소+일산화탄소+포스겐+염화수소+수산화나트륨+플루오르화수소(폐불산)+플루오르화수소+질산(폐혼산)+트리클로로실란+붕산+니켈 설파민산(술팜산 니켈)215845.1
34대상주식회사 군산공장 (대상(주)(바이오))전북특별자치도 군산시 외항1길 208063-469-2261사용수산화나트륨+염산+황산+메탄올+벤잘콘이움클로라이드57307.9
45대상(주)라이신공장전북특별자치도 군산시 외항4길 57 (소룡동)063-912-4572사용수산화나트륨+염산+황산112394.0
56한국바스프㈜ 군산공장전북특별자치도 군산시 외항 4길 57(소룡동)063-469-2486사용염산+수산화나트륨5000.0
67에스지씨에너지㈜ 군산사업부문(구, 군장에너지㈜)전북특별자치도 군산시 임해로 333(소룡동) (보관저장시설)063-460-7240사용염산+수산화나트륨+암모늄수산화물+황산+암모니아4419.63
78(주) 에스에이치에너지화학전북특별자치도 군산시 외항7길 20(소룡동)063-469-1561사용수산화나트륨+염산+칼륨+삼염화인+과산화수소+메틸에틸케톤+과산화벤조일+ 4+4‘-디이소시안산 디페닐메탄+ (Z)-2-부테인이산1+1`-(디부틸스타닐렌)4+4`-(디옥타데실)+ 붕산+ 스티렌101452.1
89(주)유니드비티플러스전북특별자치도 군산시 소룡동 437063-460-5307제조포름알데히드45000.0
910(주)유니드비티플러스전북특별자치도 군산시 소룡동 437063-460-5307사용메탄올+수산화나트륨+염산+개미산+4+4'-디이소시안산디페닐메탄+수산화칼륨+황산21456.8
연번업체명소재지전화번호허가업종취급물질연간취급량(톤)
126127유한회사 아주전북특별자치도 군산시 중가도길 57(오식도동)063-463-8887제조2+3+5+6-테트라플루오로벤질 트랜스-2-(2+2-디클로로비닐)-3+3-디메틸사이클로프로판카르복실레이트0.35
127128주식회사 비에스엠신소재(군산공장)전북특별자치도 군산시 산단남북로 153-20(오식도동)063-464-5495사용황산+수산화나트륨+염산+붕산+염화니켈+술팜산니켈+질산+칼륨구리시안화물+청화가리90.0
128129원 화물전북특별자치도 군산시 공항로 157(산북동)063-461-2236운반톨루엔 디이소시아네이트(CAS 번호 584-84-9)+톨루엔 디이소시아네이트(CAS 번호 26471-62-5)+과산화수소+3(또는4)톨루엔-1+2-디아민1480.0
129130㈜금강로지스틱스전북특별자치도 군산시 자유무역로 83(오식도동)063-464-8245운반수산화칼륨+수산화나트륨+톨루엔디이소시아네이트+인8580.0
130131주식회사 세정로지스전북특별자치도 군산시 신평1길 11-5, 2층063-467-4066운반염산10000.0
131132(주)한국화이바 군산공장전북특별자치도 군산시 외항로 931 (주)한국화이바 군산공장055-960-3225사용스티렌513.9
132133주식회사 천마글로벌전북특별자치도 군산시 공항로 579 (개사동 1140)063-465-1533운반4+4’-(1-메틸에틸리덴)비스페놀+4+4’-(1-메틸에틸리덴)비스[2+6-디브로모페놀]+3(또는4)톨루엔-1.2-디아민+톨루엔 디이소시아네이트+과산화수소18000.0
133134한국화공약품전북특별자치도 군산시 해망로 69-3 (경암동)063-442-2810판매과산화수소+메틸알코올+수산화나트륨+염산+질산+황산+암모늄수산화물 및 이를 10%이상 함유한 혼합물질+톨루엔+수산화칼륨+크레졸+과망간산칼륨+하이드로퀴논+개미산+시안화나트륨+메틸에틸케톤+질산칼륨+질산나트륨+클로로포름+크실렌+플루오르화수소+페놀+수은+하이드라진 수화물+비스(2-에틸헥실) 프탈레이트+아질산나트륨+심클로센+아염소산 나트륨+포르말린+325.0
134135대덕가스㈜ 군산전북특별자치도 군산시 가도1길 33 (오식도동)063-464-3712사용일산화탄소+일산화질소0.015
135136대덕가스㈜ 군산전북특별자치도 군산시 가도1길 33 (오식도동)063-464-3712판매디클로로실란+트리클로로실란+테트라클로로실리콘+메틸트리클로로실란53.3