Overview

Dataset statistics

Number of variables9
Number of observations593
Missing cells67
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.4 KiB
Average record size in memory73.2 B

Variable types

Categorical2
Text5
DateTime1
Numeric1

Dataset

Description유해화학물질 취급업소에 대한 업소명 소재지 취급품목 연간취급량 등 정보로서 화학물질 사고의 대비와 대응에 필요하여 환경부에서 제공
Author전라남도
URLhttps://www.data.go.kr/data/15050660/fileData.do

Alerts

전화번호 has 67 (11.3%) missing valuesMissing
연간취급량_톤 is highly skewed (γ1 = 20.6754049)Skewed
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:49:10.862826
Analysis finished2023-12-12 11:49:12.041313
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
사용업
154 
운반업
118 
판매업_알선
104 
제조업
60 
알선판매업
59 
Other values (5)
98 

Length

Max length11
Median length3
Mean length4.4317032
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row판매업_알선
2nd row판매업_알선
3rd row판매업_알선
4th row판매업_알선
5th row사용업

Common Values

ValueCountFrequency (%)
사용업 154
26.0%
운반업 118
19.9%
판매업_알선 104
17.5%
제조업 60
 
10.1%
알선판매업 59
 
9.9%
알선판매업_페인트업 47
 
7.9%
판매업 26
 
4.4%
보관저장업 17
 
2.9%
판매업_취급시설 보유 6
 
1.0%
판매업_준알선 2
 
0.3%

Length

2023-12-12T20:49:12.134949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:12.289665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용업 154
25.7%
운반업 118
19.7%
판매업_알선 104
17.4%
제조업 60
 
10.0%
알선판매업 59
 
9.8%
알선판매업_페인트업 47
 
7.8%
판매업 26
 
4.3%
보관저장업 17
 
2.8%
판매업_취급시설 6
 
1.0%
보유 6
 
1.0%

등록번호
Text

UNIQUE 

Distinct593
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:49:12.573836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.91231
Min length10

Characters and Unicode

Total characters6471
Distinct characters14
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

Unique593 ?
Unique (%)100.0%

Sample

1st row402-150292
2nd row402-190033
3rd row402-150022
4th row402-150164
5th row405-200004
ValueCountFrequency (%)
402-150292 1
 
0.2%
405-150550호 1
 
0.2%
402-160330호 1
 
0.2%
제401-210319호 1
 
0.2%
405-150541호 1
 
0.2%
405-150073호 1
 
0.2%
401-150074호 1
 
0.2%
402-150075호 1
 
0.2%
405-150129호 1
 
0.2%
401-160329호 1
 
0.2%
Other values (583) 583
98.3%
2023-12-12T20:49:13.281395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1518
23.5%
1 847
13.1%
4 836
12.9%
- 593
 
9.2%
5 568
 
8.8%
2 498
 
7.7%
호 439
 
6.8%
3 415
 
6.4%
6 202
 
3.1%
8 162
 
2.5%
Other values (4) 393
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5340
82.5%
Dash Punctuation 593
 
9.2%
Other Letter 534
 
8.3%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1518
28.4%
1 847
15.9%
4 836
15.7%
5 568
 
10.6%
2 498
 
9.3%
3 415
 
7.8%
6 202
 
3.8%
8 162
 
3.0%
9 157
 
2.9%
7 137
 
2.6%
Other Letter
ValueCountFrequency (%)
호 439
82.2%
제 95
 
17.8%
Dash Punctuation
ValueCountFrequency (%)
- 593
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5937
91.7%
Hangul 534
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1518
25.6%
1 847
14.3%
4 836
14.1%
- 593
 
10.0%
5 568
 
9.6%
2 498
 
8.4%
3 415
 
7.0%
6 202
 
3.4%
8 162
 
2.7%
9 157
 
2.6%
Other values (2) 141
 
2.4%
Hangul
ValueCountFrequency (%)
호 439
82.2%
제 95
 
17.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5937
91.7%
Hangul 534
 
8.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1518
25.6%
1 847
14.3%
4 836
14.1%
- 593
 
10.0%
5 568
 
9.6%
2 498
 
8.4%
3 415
 
7.0%
6 202
 
3.4%
8 162
 
2.7%
9 157
 
2.6%
Other values (2) 141
 
2.4%
Hangul
ValueCountFrequency (%)
호 439
82.2%
제 95
 
17.8%

등록일자
Date

Distinct412
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum1976-06-15 00:00:00
Maximum2022-02-03 00:00:00
2023-12-12T20:49:13.457704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:49:13.664666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

Distinct504
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:49:13.980529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length7.7875211
Min length2

Characters and Unicode

Total characters4618
Distinct characters345
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)74.0%

Sample

1st row㈜거북이
2nd row탐진페인트공사
3rd row노루페인트
4th row온누리케미칼
5th row㈜동원에프앤비 강진공장
ValueCountFrequency (%)
주식회사 10
 
1.5%
재원산업㈜ 5
 
0.7%
㈜엘엑스엠엠에이 4
 
0.6%
광양공장 4
 
0.6%
나주공장 4
 
0.6%
제비표페인트 4
 
0.6%
남해화학㈜ 3
 
0.4%
㈜엘지화학 3
 
0.4%
노루페인트 3
 
0.4%
롯데케미칼㈜ 3
 
0.4%
Other values (537) 640
93.7%
2023-12-12T20:49:14.453752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 235
 
5.1%
㈜ 196
 
4.2%
주 176
 
3.8%
장 124
 
2.7%
122
 
2.6%
수 114
 
2.5%
스 112
 
2.4%
공 111
 
2.4%
이 109
 
2.4%
화 93
 
2.0%
Other values (335) 3226
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3877
84.0%
Connector Punctuation 235
 
5.1%
Other Symbol 196
 
4.2%
Space Separator 122
 
2.6%
Uppercase Letter 114
 
2.5%
Decimal Number 45
 
1.0%
Other Punctuation 14
 
0.3%
Dash Punctuation 13
 
0.3%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 176
 
4.5%
장 124
 
3.2%
수 114
 
2.9%
스 112
 
2.9%
공 111
 
2.9%
이 109
 
2.8%
화 93
 
2.4%
여 91
 
2.3%
유 73
 
1.9%
사 69
 
1.8%
Other values (300) 2805
72.3%
Uppercase Letter
ValueCountFrequency (%)
C 35
30.7%
N 11
 
9.6%
P 10
 
8.8%
D 7
 
6.1%
K 7
 
6.1%
S 7
 
6.1%
E 6
 
5.3%
M 5
 
4.4%
L 5
 
4.4%
V 3
 
2.6%
Other values (10) 18
15.8%
Decimal Number
ValueCountFrequency (%)
2 19
42.2%
1 19
42.2%
3 3
 
6.7%
5 2
 
4.4%
4 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
: 5
35.7%
, 3
21.4%
. 3
21.4%
& 3
21.4%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
t 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 235
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 196
100.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4073
88.2%
Common 429
 
9.3%
Latin 116
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 196
 
4.8%
주 176
 
4.3%
장 124
 
3.0%
수 114
 
2.8%
스 112
 
2.7%
공 111
 
2.7%
이 109
 
2.7%
화 93
 
2.3%
여 91
 
2.2%
유 73
 
1.8%
Other values (301) 2874
70.6%
Latin
ValueCountFrequency (%)
C 35
30.2%
N 11
 
9.5%
P 10
 
8.6%
D 7
 
6.0%
K 7
 
6.0%
S 7
 
6.0%
E 6
 
5.2%
M 5
 
4.3%
L 5
 
4.3%
V 3
 
2.6%
Other values (12) 20
17.2%
Common
ValueCountFrequency (%)
_ 235
54.8%
122
28.4%
2 19
 
4.4%
1 19
 
4.4%
- 13
 
3.0%
: 5
 
1.2%
3 3
 
0.7%
, 3
 
0.7%
. 3
 
0.7%
& 3
 
0.7%
Other values (2) 4
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3877
84.0%
ASCII 545
 
11.8%
None 196
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 235
43.1%
122
22.4%
C 35
 
6.4%
2 19
 
3.5%
1 19
 
3.5%
- 13
 
2.4%
N 11
 
2.0%
P 10
 
1.8%
D 7
 
1.3%
K 7
 
1.3%
Other values (24) 67
 
12.3%
None
ValueCountFrequency (%)
㈜ 196
100.0%
Hangul
ValueCountFrequency (%)
주 176
 
4.5%
장 124
 
3.2%
수 114
 
2.9%
스 112
 
2.9%
공 111
 
2.9%
이 109
 
2.8%
화 93
 
2.4%
여 91
 
2.3%
유 73
 
1.9%
사 69
 
1.8%
Other values (300) 2805
72.3%

소재지
Text

Distinct442
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:49:14.832855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length55
Mean length17.718381
Min length12

Characters and Unicode

Total characters10507
Distinct characters243
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

Unique360 ?
Unique (%)60.7%

Sample

1st row전남 강진군 강진읍 보은로 127-1
2nd row전남 강진군 강진읍 보은로3길 6-1
3rd row전남 강진군 강진읍 보은로4길 20-1
4th row전남 강진군 강진읍 영랑로4길 7* 우편물 수령 : 광주 북구 황계로55번길 11 삼호아파트 2동 204호
5th row전남 강진군 강진읍 해강로 1405
ValueCountFrequency (%)
전남 594
22.8%
여수시 270
 
10.3%
순천시 107
 
4.1%
광양시 59
 
2.3%
여수산단로 57
 
2.2%
여수산단2로 47
 
1.8%
목포시 40
 
1.5%
고지5길 31
 
1.2%
20-2 30
 
1.1%
나주시 21
 
0.8%
Other values (723) 1354
51.9%
2023-12-12T20:49:15.505466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2052
19.5%
남 629
 
6.0%
전 599
 
5.7%
시 504
 
4.8%
수 435
 
4.1%
여 427
 
4.1%
로 422
 
4.0%
1 405
 
3.9%
2 401
 
3.8%
산 250
 
2.4%
Other values (233) 4383
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5987
57.0%
Decimal Number 2171
 
20.7%
Space Separator 2052
 
19.5%
Dash Punctuation 197
 
1.9%
Other Punctuation 61
 
0.6%
Connector Punctuation 34
 
0.3%
Uppercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 629
 
10.5%
전 599
 
10.0%
시 504
 
8.4%
수 435
 
7.3%
여 427
 
7.1%
로 422
 
7.0%
산 250
 
4.2%
단 237
 
4.0%
길 187
 
3.1%
순 128
 
2.1%
Other values (212) 2169
36.2%
Decimal Number
ValueCountFrequency (%)
1 405
18.7%
2 401
18.5%
4 226
10.4%
3 219
10.1%
0 206
9.5%
5 165
7.6%
8 156
 
7.2%
6 149
 
6.9%
7 133
 
6.1%
9 111
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 50
82.0%
: 5
 
8.2%
* 5
 
8.2%
. 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
2052
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5988
57.0%
Common 4515
43.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 629
 
10.5%
전 599
 
10.0%
시 504
 
8.4%
수 435
 
7.3%
여 427
 
7.1%
로 422
 
7.0%
산 250
 
4.2%
단 237
 
4.0%
길 187
 
3.1%
순 128
 
2.1%
Other values (213) 2170
36.2%
Common
ValueCountFrequency (%)
2052
45.4%
1 405
 
9.0%
2 401
 
8.9%
4 226
 
5.0%
3 219
 
4.9%
0 206
 
4.6%
- 197
 
4.4%
5 165
 
3.7%
8 156
 
3.5%
6 149
 
3.3%
Other values (7) 339
 
7.5%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5987
57.0%
ASCII 4519
43.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2052
45.4%
1 405
 
9.0%
2 401
 
8.9%
4 226
 
5.0%
3 219
 
4.8%
0 206
 
4.6%
- 197
 
4.4%
5 165
 
3.7%
8 156
 
3.5%
6 149
 
3.3%
Other values (10) 343
 
7.6%
Hangul
ValueCountFrequency (%)
남 629
 
10.5%
전 599
 
10.0%
시 504
 
8.4%
수 435
 
7.3%
여 427
 
7.1%
로 422
 
7.0%
산 250
 
4.2%
단 237
 
4.0%
길 187
 
3.1%
순 128
 
2.1%
Other values (212) 2169
36.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct410
Distinct (%)77.9%
Missing67
Missing (%)11.3%
Memory size4.8 KiB
2023-12-12T20:49:15.898270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length12
Mean length12.211027
Min length1

Characters and Unicode

Total characters6423
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)64.6%

Sample

1st row061-432-8504
2nd row061-433-9111
3rd row061-434-2274
4th row062-432-9191
5th row061-432-7273
ValueCountFrequency (%)
061-725-4119 10
 
1.9%
061-688-6065 8
 
1.5%
061-688-4662 6
 
1.1%
061-690-9275 5
 
0.9%
061-688-3681 5
 
0.9%
061-681-4527 4
 
0.8%
061-680-6526 4
 
0.8%
061-688-3941 4
 
0.8%
061-805-3850 4
 
0.8%
061-680-0600 3
 
0.6%
Other values (404) 480
90.1%
2023-12-12T20:49:16.459750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1065
16.6%
6 1059
16.5%
0 923
14.4%
1 892
13.9%
8 475
7.4%
7 412
 
6.4%
2 375
 
5.8%
5 318
 
5.0%
3 317
 
4.9%
4 296
 
4.6%
Other values (4) 291
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5338
83.1%
Dash Punctuation 1065
 
16.6%
Space Separator 11
 
0.2%
Other Punctuation 8
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1059
19.8%
0 923
17.3%
1 892
16.7%
8 475
8.9%
7 412
 
7.7%
2 375
 
7.0%
5 318
 
6.0%
3 317
 
5.9%
4 296
 
5.5%
9 271
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1065
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1065
16.6%
6 1059
16.5%
0 923
14.4%
1 892
13.9%
8 475
7.4%
7 412
 
6.4%
2 375
 
5.8%
5 318
 
5.0%
3 317
 
4.9%
4 296
 
4.6%
Other values (4) 291
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1065
16.6%
6 1059
16.5%
0 923
14.4%
1 892
13.9%
8 475
7.4%
7 412
 
6.4%
2 375
 
5.8%
5 318
 
5.0%
3 317
 
4.9%
4 296
 
4.6%
Other values (4) 291
 
4.5%

품목
Text

Distinct428
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-12T20:49:16.728438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length508
Median length279
Mean length90.973019
Min length2

Characters and Unicode

Total characters53947
Distinct characters275
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique367 ?
Unique (%)61.9%

Sample

1st row N,N-디메틸포름아미드,메틸에틸케톤,과산화 벤조일,4,4‘-메틸렌비스_2-클로로아닐린,4,4‘-디이소시안산 디페닐메탄,2-메톡시에탄올,2-에톡시에탄올,아세트산 에틸,1-메틸-2-피롤리디논,과산화2-부타논,염료 황색 34,트리글리시딜 이소시아누레이트,크롬산납,크롬산스트론티움,몰리브덴적
2nd row메탄올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화벤조일,2-퓨란메탄올,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,산화납,크레졸,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,크로뮴_6+화합물[염료황색34],1,3,5-트리글리시딜 이소시아누레이트,크로뮴_6+화합물[크롬산납],크롬산스트론티움,중크롬산암모늄,크로뮴_6+화합물[칼륨아연크롬산수산화물],크로뮴_6+화합물[몰리브덴적],톨루엔 디이소시아네이트,크로뮴_6+화합물[안료 황색36],포름알데히드 1.3-벤젠디메탄아민과 페놀의 중합체,4,5-디클로로-2-N-옥틸-4-이소티아졸린-3-온,녹색 13호,다이클로로메탄,비스페놀-A,아세트산 2-에톡시에틸
3rd row메틸알코올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화 벤조일,2-푸란메탄올,4,4‘-메틸렌비스_2-클로로아닐린,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,염료황색34,산화납,몰리브덴적,트리글리시딜 이소시아누레이트,크롬산납,크롬산스트론티움,크레졸,안료황색36,중크롬산암모늄,톨루엔 디이소시아네이트,포름알데히드 1.3-벤젠디메탄아민과 페놀의 중합체,4,5-디클로로-2-N-옥틸-4-이소티아졸린-3-온,칼륨아연크롬산수산화물,안료그린 13,다이클로로메탄,붕산,N,N-디메틸-P-톨루이딘,스티렌,아세트산 2-에톡시에틸,트라이에틸아민,클로로알칸
4th row수산화나트륨,플루오르화수소,염산,황산
5th row질산_70%,메틸에틸케톤_89.9%
ValueCountFrequency (%)
페놀의 68
 
4.0%
1.3-벤젠디메탄아민과 62
 
3.6%
디이소시아네이트포름알데히드 33
 
1.9%
이소시아누레이트크롬산납크롬산스트론티움칼륨아연크롬산수산화물안료황색36중크롬산암모늄톨루엔 33
 
1.9%
메탄올,n,n-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 29
 
1.7%
황색 27
 
1.6%
디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 27
 
1.6%
수산화나트륨 23
 
1.3%
2-에톡시에틸 22
 
1.3%
디이소시아네이트,크로뮴_6+화합물[안료 20
 
1.2%
Other values (704) 1374
80.0%
2023-12-12T20:49:17.205179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 3035
 
5.6%
- 2839
 
5.3%
산 2430
 
4.5%
아 1563
 
2.9%
틸 1555
 
2.9%
메 1442
 
2.7%
트 1393
 
2.6%
화 1310
 
2.4%
디 1284
 
2.4%
이 1218
 
2.3%
Other values (265) 35878
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39300
72.8%
Decimal Number 3960
 
7.3%
Other Punctuation 3503
 
6.5%
Dash Punctuation 2839
 
5.3%
Uppercase Letter 1250
 
2.3%
Space Separator 1185
 
2.2%
Connector Punctuation 888
 
1.6%
Lowercase Letter 376
 
0.7%
Math Symbol 197
 
0.4%
Initial Punctuation 174
 
0.3%
Other values (5) 275
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2430
 
6.2%
아 1563
 
4.0%
틸 1555
 
4.0%
메 1442
 
3.7%
트 1393
 
3.5%
화 1310
 
3.3%
디 1284
 
3.3%
이 1218
 
3.1%
크 1161
 
3.0%
로 938
 
2.4%
Other values (199) 25006
63.6%
Lowercase Letter
ValueCountFrequency (%)
m 90
23.9%
t 61
16.2%
e 43
11.4%
r 34
 
9.0%
p 33
 
8.8%
i 18
 
4.8%
a 17
 
4.5%
n 14
 
3.7%
l 12
 
3.2%
h 10
 
2.7%
Other values (11) 44
11.7%
Uppercase Letter
ValueCountFrequency (%)
N 450
36.0%
D 177
 
14.2%
I 156
 
12.5%
M 129
 
10.3%
A 116
 
9.3%
T 87
 
7.0%
P 50
 
4.0%
C 36
 
2.9%
E 15
 
1.2%
H 15
 
1.2%
Other values (5) 19
 
1.5%
Decimal Number
ValueCountFrequency (%)
4 1042
26.3%
2 929
23.5%
3 563
14.2%
1 551
13.9%
0 250
 
6.3%
6 246
 
6.2%
5 197
 
5.0%
9 97
 
2.4%
8 54
 
1.4%
7 31
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 3035
86.6%
% 197
 
5.6%
' 166
 
4.7%
. 103
 
2.9%
/ 1
 
< 0.1%
′ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 129
65.5%
~ 33
 
16.8%
∼ 17
 
8.6%
= 17
 
8.6%
＞ 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 2839
100.0%
Space Separator
ValueCountFrequency (%)
1185
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 888
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 174
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 116
100.0%
Close Punctuation
ValueCountFrequency (%)
] 116
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 40
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39300
72.8%
Common 12981
 
24.1%
Latin 1659
 
3.1%
Greek 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2430
 
6.2%
아 1563
 
4.0%
틸 1555
 
4.0%
메 1442
 
3.7%
트 1393
 
3.5%
화 1310
 
3.3%
디 1284
 
3.3%
이 1218
 
3.1%
크 1161
 
3.0%
로 938
 
2.4%
Other values (199) 25006
63.6%
Latin
ValueCountFrequency (%)
N 450
27.1%
D 177
 
10.7%
I 156
 
9.4%
M 129
 
7.8%
A 116
 
7.0%
m 90
 
5.4%
T 87
 
5.2%
t 61
 
3.7%
P 50
 
3.0%
e 43
 
2.6%
Other values (25) 300
18.1%
Common
ValueCountFrequency (%)
, 3035
23.4%
- 2839
21.9%
1185
 
9.1%
4 1042
 
8.0%
2 929
 
7.2%
_ 888
 
6.8%
3 563
 
4.3%
1 551
 
4.2%
0 250
 
1.9%
6 246
 
1.9%
Other values (19) 1453
11.2%
Greek
ValueCountFrequency (%)
α 6
85.7%
η 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39300
72.8%
ASCII 14405
 
26.7%
Punctuation 177
 
0.3%
Number Forms 40
 
0.1%
Math Operators 17
 
< 0.1%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 3035
21.1%
- 2839
19.7%
1185
 
8.2%
4 1042
 
7.2%
2 929
 
6.4%
_ 888
 
6.2%
3 563
 
3.9%
1 551
 
3.8%
N 450
 
3.1%
0 250
 
1.7%
Other values (48) 2673
18.6%
Hangul
ValueCountFrequency (%)
산 2430
 
6.2%
아 1563
 
4.0%
틸 1555
 
4.0%
메 1442
 
3.7%
트 1393
 
3.5%
화 1310
 
3.3%
디 1284
 
3.3%
이 1218
 
3.1%
크 1161
 
3.0%
로 938
 
2.4%
Other values (199) 25006
63.6%
Punctuation
ValueCountFrequency (%)
‘ 174
98.3%
’ 2
 
1.1%
′ 1
 
0.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 40
100.0%
Math Operators
ValueCountFrequency (%)
∼ 17
100.0%
None
ValueCountFrequency (%)
α 6
75.0%
η 1
 
12.5%
＞ 1
 
12.5%

사고대비물질여부
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
여
472 
부
91 
<NA>
 
30

Length

Max length4
Median length1
Mean length1.1517707
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여 472
79.6%
부 91
 
15.3%
<NA> 30
 
5.1%

Length

2023-12-12T20:49:17.368050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:49:17.489614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 472
79.6%
부 91
 
15.3%
na 30
 
5.1%

연간취급량_톤
Real number (ℝ)

SKEWED 

Distinct414
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216585.44
Minimum0.1
Maximum42005155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T20:49:17.643467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5
Q142.4
median2897.324
Q332520
95-th percentile781056.61
Maximum42005155
Range42005155
Interquartile range (IQR)32477.6

Descriptive statistics

Standard deviation1824472.9
Coefficient of variation (CV)8.4238024
Kurtosis467.77766
Mean216585.44
Median Absolute Deviation (MAD)2889.524
Skewness20.675405
Sum1.2843516 × 108
Variance3.3287014 × 1012
MonotonicityNot monotonic
2023-12-12T20:49:17.855677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2 19
 
3.2%
12.8 16
 
2.7%
13.0 14
 
2.4%
9.4 13
 
2.2%
5096.0 8
 
1.3%
5.0 7
 
1.2%
30000.0 5
 
0.8%
1.0 4
 
0.7%
15000.0 4
 
0.7%
14.2 4
 
0.7%
Other values (404) 499
84.1%
ValueCountFrequency (%)
0.1 1
 
0.2%
0.2 1
 
0.2%
0.4 1
 
0.2%
0.5 1
 
0.2%
0.75 1
 
0.2%
0.9 1
 
0.2%
1.0 4
0.7%
1.4 2
0.3%
1.6 1
 
0.2%
1.8 1
 
0.2%
ValueCountFrequency (%)
42005155.0 1
0.2%
7935758.0 1
0.2%
7824139.61 1
0.2%
4180479.0 1
0.2%
3374795.0 1
0.2%
3129096.98 1
0.2%
3027718.0 1
0.2%
2524786.0 1
0.2%
2489593.0 1
0.2%
2464008.0 1
0.2%

Interactions

2023-12-12T20:49:11.626539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:49:17.973411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종사고대비물질여부연간취급량_톤
업종1.0000.3810.145
사고대비물질여부0.3811.0000.000
연간취급량_톤0.1450.0001.000
2023-12-12T20:49:18.071454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사고대비물질여부업종
사고대비물질여부1.0000.290
업종0.2901.000
2023-12-12T20:49:18.192250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연간취급량_톤업종사고대비물질여부
연간취급량_톤1.0000.0860.000
업종0.0861.0000.290
사고대비물질여부0.0000.2901.000

Missing values

2023-12-12T20:49:11.800057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:49:11.979866image/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

업종등록번호등록일자업체명소재지전화번호품목사고대비물질여부연간취급량_톤
0판매업_알선402-1502922011-12-13㈜거북이전남 강진군 강진읍 보은로 127-1061-432-8504N,N-디메틸포름아미드,메틸에틸케톤,과산화 벤조일,4,4‘-메틸렌비스_2-클로로아닐린,4,4‘-디이소시안산 디페닐메탄,2-메톡시에탄올,2-에톡시에탄올,아세트산 에틸,1-메틸-2-피롤리디논,과산화2-부타논,염료 황색 34,트리글리시딜 이소시아누레이트,크롬산납,크롬산스트론티움,몰리브덴적여7.8
1판매업_알선402-1900332019-04-22탐진페인트공사전남 강진군 강진읍 보은로3길 6-1061-433-9111메탄올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화벤조일,2-퓨란메탄올,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,산화납,크레졸,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,크로뮴_6+화합물[염료황색34],1,3,5-트리글리시딜 이소시아누레이트,크로뮴_6+화합물[크롬산납],크롬산스트론티움,중크롬산암모늄,크로뮴_6+화합물[칼륨아연크롬산수산화물],크로뮴_6+화합물[몰리브덴적],톨루엔 디이소시아네이트,크로뮴_6+화합물[안료 황색36],포름알데히드 1.3-벤젠디메탄아민과 페놀의 중합체,4,5-디클로로-2-N-옥틸-4-이소티아졸린-3-온,녹색 13호,다이클로로메탄,비스페놀-A,아세트산 2-에톡시에틸여9.2
2판매업_알선402-1500222011-12-21노루페인트전남 강진군 강진읍 보은로4길 20-1061-434-2274메틸알코올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화 벤조일,2-푸란메탄올,4,4‘-메틸렌비스_2-클로로아닐린,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,염료황색34,산화납,몰리브덴적,트리글리시딜 이소시아누레이트,크롬산납,크롬산스트론티움,크레졸,안료황색36,중크롬산암모늄,톨루엔 디이소시아네이트,포름알데히드 1.3-벤젠디메탄아민과 페놀의 중합체,4,5-디클로로-2-N-옥틸-4-이소티아졸린-3-온,칼륨아연크롬산수산화물,안료그린 13,다이클로로메탄,붕산,N,N-디메틸-P-톨루이딘,스티렌,아세트산 2-에톡시에틸,트라이에틸아민,클로로알칸여9.4
3판매업_알선402-1501642008-07-02온누리케미칼전남 강진군 강진읍 영랑로4길 7* 우편물 수령 : 광주 북구 황계로55번길 11 삼호아파트 2동 204호<NA>수산화나트륨,플루오르화수소,염산,황산여160.0
4사용업405-2000042020-01-22㈜동원에프앤비 강진공장전남 강진군 강진읍 해강로 1405062-432-9191질산_70%,메틸에틸케톤_89.9%여60.25
5사용업405-2000102020-03-10㈜로우카본전남 강진군 성전면 강진산단로2길 127061-432-7273수산화나트륨_50%,과산화수소_30%<NA>12000.0
6판매업_알선402-1502802011-12-05제비표페인트전남 고흥군 고흥읍 고흥로 1620-17메탄올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화벤조일,2-퓨란메탄올,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌디아닐린,아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산 에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,산화납,크레졸,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,크로뮴_6+화합물[염료황색34],1,3,5-트리글리시딜 이소시아누레이트,크로뮴_6+화합물[크롬산납],크롬산스트론티움,중크롬산암모늄,크로뮴_6+화합물[칼륨아연크롬산수산화물],크로뮴_6+화합물[몰리브덴적],톨루엔 디이소시아네이트,크로뮴_6+화합물[안료 황색36],포름알데히드 1.3-벤젠디메탄아민과 페놀의 중합체,4,5-디클로로-2-N-옥틸-4-이소티아졸린-3-온,녹색 13호,다이클로로메탄,비스페놀-A,아세트산 2-에톡시에틸여9.2
7사용업405-1900812019-07-18고흥군 고흥읍 폐기물매립시설 침출수처리장전남 고흥군 고흥읍 봉동주공길 76-47061-830-5812황산_99%, 수산화나트륨_98%여84.0
8판매업_알선402-1600362013-06-21고흥환경전남 고흥군 남양면 남양희망길 2<NA>나트륨,메틸알코올,수산화나트륨,질산,황산,염소여61.0
9판매업_알선402-2100272021-10-27뉴케미스타전남 고흥군 도양읍 관리상중하길 30-9<NA>심클로센<NA>0.1
업종등록번호등록일자업체명소재지전화번호품목사고대비물질여부연간취급량_톤
583판매업_알선4652-120012012-01-19동해산업전남 해남군 해남읍 남부순환로 108061-461-4600수산화나트륨염화수소여50.0
584판매업_알선402-1503582011-12-08행미유리페인트전남 해남군 해남읍 중앙1로 198061-536-4660메탄올,메틸에틸케톤,N,N-다이메틸-p-톨루이딘,4,4‘-디이소시안산 디페닐메탄,톨루엔,페놀,N,N-디메틸아닐린,아세트산 에틸,삼산화안티몬,과산화2-부타논,염료 황색 34,트리글리시딜 이소시아누레이트,크롬산납,크롬산스트론티움,노닐페놀류,칼륨아연크롬산수산화물,몰리브덴적,파라포름알데히드,안료 황색 36,무기안티몬 화합물질,과산화 벤조일여611.8
585판매업_알선402-1900282019-04-16아리랑사전남 해남군 해남읍 중앙1로 46, 1층061-536-4180[총 40종]메탄올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화벤조일,2-퓨란메탄올,4,4'-메틸렌비스_2-클로로아니린,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌다이아닐린, 아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,산화납,크레졸,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,크로뮴_6+화합물[염료 황색34],1,3,5-트리글리시딜 아이소시아누르산염,크로뮴_6+화합물[크롬산납_Lead chr여mate],크롬산스트론티움,중크롬산암모늄,크로뮴_6+화합물[칼륨아연크롬산수산화물],크로뮴_6+화합물[몰리브덴적_C.I. pigment red 104],톨루엔 디이소시아네이트,크로뮴_6+화합물[안료 황색36],포름알데히드 1,3-벤젠디메탄_아민과 페놀의 중합체,4,5-Dichl여r여-2-N-여ctyl-4-is여thiaz여lin-3-여ne,녹색13호여12.8
586판매업_알선4652-110012011-12-15해광상사전남 해남군 화산면 대지길 7<NA>수산화나트륨 염화수소여23.0
587사용업405-1504162007-05-08㈜대하전남 화순군 동면 동농공길 47061-373-0452메틸알코올_99~100%,톨루엔_99~100%여300.0
588판매업_취급시설 보유402-1504152007-05-08㈜대하전남 화순군 동면 동농공길 47061-373-0452메틸알코올,톨루엔여300.0
589운반업404-1504072014-12-11㈜용산전남 화순군 동복면 오지호로 140-7*우편 수령 주소 : 광주 남구 서문대로627번안길12, 2층062-682-60772,4-디니트로톨루엔,질산암모늄,니트로벤젠여104200.0
590판매업_알선402-1504142012-01-20화순그린환경&안전용품전남 화순군 화순읍 소천길 22061-371-6663과산화수소_6%이상,수산화나트륨_5%이상,황산_10%이상여180.0
591판매업_알선402-1502362014-04-03예술도건전남 화순군 화순읍 자치샘로 72061-374-7772크로뮴_6+화합물<NA>0.75
592판매업_알선402-1502542011-12-14화순종합공구전남 화순군 화순읍 충의로 93061-371-0904메탄올,N,N-디메틸포름아미드,메틸에틸케톤,아크릴아미드,디부틸 프탈레이트,과산화벤조일,2-퓨란메탄올,4,4'-메틸렌비스_2-클로로아니린,4,4‘-디이소시안산 디페닐메탄,4,4‘-메틸렌다이아닐린, 아크릴로니트릴,m-크레졸,톨루엔,페놀,2-메톡시에탄올,2-에톡시에탄올,비스_2-에틸헥실프탈레이트,지람,아세트산에틸,1-메틸-2-피롤리디논,크실레놀,삼산화안티몬,산화납,크레졸,크실렌,무수크롬산,암모늄수산화물,메틸에틸케톤 과산화물,크로뮴_6+화합물[염료 황색34],1,3,5-트리글리시딜 아이소시아누르산염,크로뮴_6+화합물[크롬산납_Lead chr여mate],크롬산스트론티움,중크롬산암모늄,크로뮴_6+화합물[칼륨아연크롬산수산화물],크로뮴_6+화합물[몰리브덴적_C.I. pigment red 104],톨루엔 디이소시아네이트,크로뮴_6+화합물[안료 황색36],포름알데히드 1,3-벤젠디메탄_아민과 페놀의 중합체,4,5-Dichl여r여-2-N-여ctyl-4-is여thiaz여lin-3-여ne,녹색13호여12.8