Overview

Dataset statistics

Number of variables9
Number of observations35
Missing cells14
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory75.8 B

Variable types

Text6
Categorical2
DateTime1

Dataset

Description전북특별자치도 장수군에 소재한 대기오염 배출 허가 사업장 현황(상호명, 소재지, 업종, 전화번호, 종별, 배출시설, 처리방법, 배출량, 허가/신고일자)에 대한 데이터를 제공하고자 합니다
Author전북특별자치도 장수군
URLhttps://www.data.go.kr/data/15077927/fileData.do

Alerts

전화번호 has 8 (22.9%) missing valuesMissing
배출량 has 6 (17.1%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:23:12.202466
Analysis finished2024-04-06 08:23:13.915740
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:23:14.239095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.2857143
Min length3

Characters and Unicode

Total characters255
Distinct characters105
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row대성제제소
2nd row(주)동남
3rd row장수자동차공업사
4th row장계자동차공업사
5th row(주)디앤에프
ValueCountFrequency (%)
주식회사 2
 
5.1%
대성제제소 1
 
2.6%
장수전통옹기(장수군장애인보호작업장 1
 
2.6%
주)보광화학 1
 
2.6%
장수지점 1
 
2.6%
자연주의숨 1
 
2.6%
고향제재소 1
 
2.6%
㈜삼성하우징 1
 
2.6%
서울자동차공업사 1
 
2.6%
장수한우지방공사 1
 
2.6%
Other values (28) 28
71.8%
2024-04-06T17:23:15.039127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 14
 
5.5%
사 12
 
4.7%
수 11
 
4.3%
업 10
 
3.9%
주 8
 
3.1%
공 6
 
2.4%
) 6
 
2.4%
( 6
 
2.4%
자 6
 
2.4%
동 6
 
2.4%
Other values (95) 170
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
91.4%
Close Punctuation 6
 
2.4%
Open Punctuation 6
 
2.4%
Other Symbol 4
 
1.6%
Space Separator 4
 
1.6%
Uppercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
6.0%
사 12
 
5.2%
수 11
 
4.7%
업 10
 
4.3%
주 8
 
3.4%
공 6
 
2.6%
자 6
 
2.6%
동 6
 
2.6%
제 5
 
2.1%
회 5
 
2.1%
Other values (89) 150
64.4%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
92.9%
Common 16
 
6.3%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
5.9%
사 12
 
5.1%
수 11
 
4.6%
업 10
 
4.2%
주 8
 
3.4%
공 6
 
2.5%
자 6
 
2.5%
동 6
 
2.5%
제 5
 
2.1%
회 5
 
2.1%
Other values (90) 154
65.0%
Common
ValueCountFrequency (%)
) 6
37.5%
( 6
37.5%
4
25.0%
Latin
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
91.4%
ASCII 18
 
7.1%
None 4
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 14
 
6.0%
사 12
 
5.2%
수 11
 
4.7%
업 10
 
4.3%
주 8
 
3.4%
공 6
 
2.6%
자 6
 
2.6%
동 6
 
2.6%
제 5
 
2.1%
회 5
 
2.1%
Other values (89) 150
64.4%
ASCII
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
4
22.2%
J 1
 
5.6%
H 1
 
5.6%
None
ValueCountFrequency (%)
㈜ 4
100.0%

소재지
Text

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:23:15.491161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length24.571429
Min length22

Characters and Unicode

Total characters860
Distinct characters54
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

Unique31 ?
Unique (%)88.6%

Sample

1st row전북특별자치도 장수군 번암면 장수로 66-3
2nd row전북특별자치도 장수군 번암면 장수로 153
3rd row전북특별자치도 장수군 장수읍 장천로 203
4th row전북특별자치도 장수군 장계면 원무농길 5
5th row전북특별자치도 장수군 장계면 진장로 1673-30
ValueCountFrequency (%)
전북특별자치도 35
20.0%
장수군 35
20.0%
장계면 12
 
6.9%
장수읍 8
 
4.6%
장천로 7
 
4.0%
천천면 6
 
3.4%
계남면 6
 
3.4%
장수로 5
 
2.9%
장무로 4
 
2.3%
육십령로 3
 
1.7%
Other values (47) 54
30.9%
2024-04-06T17:23:16.249088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
16.3%
장 75
 
8.7%
수 48
 
5.6%
북 36
 
4.2%
전 35
 
4.1%
도 35
 
4.1%
군 35
 
4.1%
치 35
 
4.1%
자 35
 
4.1%
별 35
 
4.1%
Other values (44) 351
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
66.0%
Space Separator 140
 
16.3%
Decimal Number 132
 
15.3%
Dash Punctuation 20
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 75
13.2%
수 48
 
8.5%
북 36
 
6.3%
전 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
치 35
 
6.2%
자 35
 
6.2%
별 35
 
6.2%
특 35
 
6.2%
Other values (32) 164
28.9%
Decimal Number
ValueCountFrequency (%)
1 25
18.9%
3 25
18.9%
5 15
11.4%
7 11
8.3%
6 11
8.3%
2 10
 
7.6%
4 10
 
7.6%
0 10
 
7.6%
9 8
 
6.1%
8 7
 
5.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
66.0%
Common 292
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 75
13.2%
수 48
 
8.5%
북 36
 
6.3%
전 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
치 35
 
6.2%
자 35
 
6.2%
별 35
 
6.2%
특 35
 
6.2%
Other values (32) 164
28.9%
Common
ValueCountFrequency (%)
140
47.9%
1 25
 
8.6%
3 25
 
8.6%
- 20
 
6.8%
5 15
 
5.1%
7 11
 
3.8%
6 11
 
3.8%
2 10
 
3.4%
4 10
 
3.4%
0 10
 
3.4%
Other values (2) 15
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
66.0%
ASCII 292
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
47.9%
1 25
 
8.6%
3 25
 
8.6%
- 20
 
6.8%
5 15
 
5.1%
7 11
 
3.8%
6 11
 
3.8%
2 10
 
3.4%
4 10
 
3.4%
0 10
 
3.4%
Other values (2) 15
 
5.1%
Hangul
ValueCountFrequency (%)
장 75
13.2%
수 48
 
8.5%
북 36
 
6.3%
전 35
 
6.2%
도 35
 
6.2%
군 35
 
6.2%
치 35
 
6.2%
자 35
 
6.2%
별 35
 
6.2%
특 35
 
6.2%
Other values (32) 164
28.9%

업종
Text

Distinct26
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:23:16.739824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10.857143
Min length3

Characters and Unicode

Total characters380
Distinct characters88
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

Unique20 ?
Unique (%)57.1%

Sample

1st row일반 제재업
2nd row레미콘 제조업
3rd row자동차 종합 수리업
4th row자동차 전문 수리업
5th row그외 기타 비금속광물 광업
ValueCountFrequency (%)
제조업 12
 
11.4%
및 11
 
10.5%
자동차 5
 
4.8%
기타 5
 
4.8%
수리업 5
 
4.8%
종합 4
 
3.8%
제재업 3
 
2.9%
일반 3
 
2.9%
비금속 2
 
1.9%
가정용 2
 
1.9%
Other values (43) 53
50.5%
2024-04-06T17:23:17.475401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
19.2%
업 32
 
8.4%
제 24
 
6.3%
조 13
 
3.4%
및 11
 
2.9%
기 10
 
2.6%
재 8
 
2.1%
물 8
 
2.1%
자 7
 
1.8%
리 7
 
1.8%
Other values (78) 187
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
80.3%
Space Separator 73
 
19.2%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 32
 
10.5%
제 24
 
7.9%
조 13
 
4.3%
및 11
 
3.6%
기 10
 
3.3%
재 8
 
2.6%
물 8
 
2.6%
자 7
 
2.3%
리 7
 
2.3%
품 6
 
2.0%
Other values (75) 179
58.7%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
80.3%
Common 75
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 32
 
10.5%
제 24
 
7.9%
조 13
 
4.3%
및 11
 
3.6%
기 10
 
3.3%
재 8
 
2.6%
물 8
 
2.6%
자 7
 
2.3%
리 7
 
2.3%
품 6
 
2.0%
Other values (75) 179
58.7%
Common
ValueCountFrequency (%)
73
97.3%
) 1
 
1.3%
( 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
80.3%
ASCII 75
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
97.3%
) 1
 
1.3%
( 1
 
1.3%
Hangul
ValueCountFrequency (%)
업 32
 
10.5%
제 24
 
7.9%
조 13
 
4.3%
및 11
 
3.6%
기 10
 
3.3%
재 8
 
2.6%
물 8
 
2.6%
자 7
 
2.3%
리 7
 
2.3%
품 6
 
2.0%
Other values (75) 179
58.7%

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing8
Missing (%)22.9%
Memory size412.0 B
2024-04-06T17:23:17.846023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row063-353-0040
2nd row063-353-0115
3rd row063-351-0606
4th row063-352-5000
5th row063-351-8949
ValueCountFrequency (%)
063-353-0040 1
 
3.7%
063-352-0033 1
 
3.7%
063-353-0666 1
 
3.7%
063-351-1518 1
 
3.7%
063-353-5115 1
 
3.7%
063-353-8200 1
 
3.7%
063-350-5589 1
 
3.7%
063-351-5304 1
 
3.7%
063-351-8444 1
 
3.7%
063-351-9919 1
 
3.7%
Other values (17) 17
63.0%
2024-04-06T17:23:18.602857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 70
21.6%
0 56
17.3%
- 54
16.7%
5 37
11.4%
6 35
10.8%
1 17
 
5.2%
2 16
 
4.9%
4 12
 
3.7%
8 11
 
3.4%
9 9
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 70
25.9%
0 56
20.7%
5 37
13.7%
6 35
13.0%
1 17
 
6.3%
2 16
 
5.9%
4 12
 
4.4%
8 11
 
4.1%
9 9
 
3.3%
7 7
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 70
21.6%
0 56
17.3%
- 54
16.7%
5 37
11.4%
6 35
10.8%
1 17
 
5.2%
2 16
 
4.9%
4 12
 
3.7%
8 11
 
3.4%
9 9
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 70
21.6%
0 56
17.3%
- 54
16.7%
5 37
11.4%
6 35
10.8%
1 17
 
5.2%
2 16
 
4.9%
4 12
 
3.7%
8 11
 
3.4%
9 9
 
2.8%

종별
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
5종
22 
4종
10 
2종
 
1
3종
 
1
1종
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row5종
2nd row5종
3rd row5종
4th row5종
5th row5종

Common Values

ValueCountFrequency (%)
5종 22
62.9%
4종 10
28.6%
2종 1
 
2.9%
3종 1
 
2.9%
1종 1
 
2.9%

Length

2024-04-06T17:23:18.894089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:23:19.660441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 22
62.9%
4종 10
28.6%
2종 1
 
2.9%
3종 1
 
2.9%
1종 1
 
2.9%

배출시설
Text

Distinct29
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T17:23:20.010202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.0285714
Min length4

Characters and Unicode

Total characters246
Distinct characters54
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)74.3%

Sample

1st row제재시설 4대
2nd row계량시설 2개소외
3rd row도장시설
4th row도장시설
5th row비금속광물제품제조시설 2개소
ValueCountFrequency (%)
도장시설 5
 
9.1%
보일러시설 4
 
7.3%
제재시설 4
 
7.3%
2대 3
 
5.5%
소성시설 3
 
5.5%
분쇄시설 3
 
5.5%
2대외 2
 
3.6%
건조시설외 2
 
3.6%
5대외 2
 
3.6%
3개소외 2
 
3.6%
Other values (23) 25
45.5%
2024-04-06T17:23:20.627048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
설 35
 
14.2%
시 34
 
13.8%
20
 
8.1%
외 16
 
6.5%
대 12
 
4.9%
소 11
 
4.5%
제 9
 
3.7%
2 7
 
2.8%
장 7
 
2.8%
도 7
 
2.8%
Other values (44) 88
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
84.6%
Space Separator 20
 
8.1%
Decimal Number 18
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 35
16.8%
시 34
16.3%
외 16
 
7.7%
대 12
 
5.8%
소 11
 
5.3%
제 9
 
4.3%
장 7
 
3.4%
도 7
 
3.4%
개 6
 
2.9%
재 5
 
2.4%
Other values (38) 66
31.7%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
3 5
27.8%
9 2
 
11.1%
5 2
 
11.1%
4 2
 
11.1%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
84.6%
Common 38
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 35
16.8%
시 34
16.3%
외 16
 
7.7%
대 12
 
5.8%
소 11
 
5.3%
제 9
 
4.3%
장 7
 
3.4%
도 7
 
3.4%
개 6
 
2.9%
재 5
 
2.4%
Other values (38) 66
31.7%
Common
ValueCountFrequency (%)
20
52.6%
2 7
 
18.4%
3 5
 
13.2%
9 2
 
5.3%
5 2
 
5.3%
4 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
84.6%
ASCII 38
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
설 35
16.8%
시 34
16.3%
외 16
 
7.7%
대 12
 
5.8%
소 11
 
5.3%
제 9
 
4.3%
장 7
 
3.4%
도 7
 
3.4%
개 6
 
2.9%
재 5
 
2.4%
Other values (38) 66
31.7%
ASCII
ValueCountFrequency (%)
20
52.6%
2 7
 
18.4%
3 5
 
13.2%
9 2
 
5.3%
5 2
 
5.3%
4 2
 
5.3%

처리방법
Categorical

Distinct11
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
여과집진시설
11 
원심력집진시설
7 
면제
6 
흡착에의한시설
3 
원심력+여과집진시설
2 
Other values (6)
6 

Length

Max length14
Median length13
Mean length6.4285714
Min length2

Unique

Unique6 ?
Unique (%)17.1%

Sample

1st row원심력집진시설
2nd row여과집진시설
3rd row여과집진시설
4th row여과집진시설
5th row원심력집진시설외

Common Values

ValueCountFrequency (%)
여과집진시설 11
31.4%
원심력집진시설 7
20.0%
면제 6
17.1%
흡착에의한시설 3
 
8.6%
원심력+여과집진시설 2
 
5.7%
원심력집진시설외 1
 
2.9%
전기집진시설 1
 
2.9%
여과 및 흡착에의한시설외 1
 
2.9%
흡착에의한시설외 1
 
2.9%
세정집진시설 외 1
 
2.9%

Length

2024-04-06T17:23:20.949997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여과집진시설 11
28.9%
원심력집진시설 7
18.4%
면제 6
15.8%
흡착에의한시설 3
 
7.9%
원심력+여과집진시설 2
 
5.3%
흡착에의한시설외 2
 
5.3%
원심력집진시설외 1
 
2.6%
전기집진시설 1
 
2.6%
여과 1
 
2.6%
및 1
 
2.6%
Other values (3) 3
 
7.9%

배출량
Text

MISSING 

Distinct23
Distinct (%)79.3%
Missing6
Missing (%)17.1%
Memory size412.0 B
2024-04-06T17:23:21.237280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.0689655
Min length2

Characters and Unicode

Total characters147
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

Unique19 ?
Unique (%)65.5%

Sample

1st row200
2nd row40외 2대
3rd row400
4th row380
5th row60외 1대
ValueCountFrequency (%)
1대 9
20.0%
2대 5
 
11.1%
400 3
 
6.7%
40외 3
 
6.7%
200 3
 
6.7%
60외 2
 
4.4%
500외 2
 
4.4%
250외 2
 
4.4%
400외 1
 
2.2%
350외 1
 
2.2%
Other values (14) 14
31.1%
2024-04-06T17:23:21.792915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
27.2%
외 16
 
10.9%
16
 
10.9%
1 16
 
10.9%
대 16
 
10.9%
2 13
 
8.8%
4 8
 
5.4%
5 8
 
5.4%
3 5
 
3.4%
6 3
 
2.0%
Other values (4) 6
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
66.7%
Other Letter 32
 
21.8%
Space Separator 16
 
10.9%
Other Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
40.8%
1 16
 
16.3%
2 13
 
13.3%
4 8
 
8.2%
5 8
 
8.2%
3 5
 
5.1%
6 3
 
3.1%
8 2
 
2.0%
7 2
 
2.0%
9 1
 
1.0%
Other Letter
ValueCountFrequency (%)
외 16
50.0%
대 16
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115
78.2%
Hangul 32
 
21.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
34.8%
16
 
13.9%
1 16
 
13.9%
2 13
 
11.3%
4 8
 
7.0%
5 8
 
7.0%
3 5
 
4.3%
6 3
 
2.6%
8 2
 
1.7%
7 2
 
1.7%
Other values (2) 2
 
1.7%
Hangul
ValueCountFrequency (%)
외 16
50.0%
대 16
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
78.2%
Hangul 32
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
34.8%
16
 
13.9%
1 16
 
13.9%
2 13
 
11.3%
4 8
 
7.0%
5 8
 
7.0%
3 5
 
4.3%
6 3
 
2.6%
8 2
 
1.7%
7 2
 
1.7%
Other values (2) 2
 
1.7%
Hangul
ValueCountFrequency (%)
외 16
50.0%
대 16
50.0%

허가(신고)일자
Date

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1991-08-05 00:00:00
Maximum2020-12-08 00:00:00
2024-04-06T17:23:22.064973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:23:22.326855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

Correlations

2024-04-06T17:23:22.547431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호명소재지업종전화번호종별배출시설처리방법배출량허가(신고)일자
상호명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0000.9431.0000.0000.9400.9660.9780.978
업종1.0000.9431.0001.0000.0000.9300.8870.9440.944
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종별1.0000.0000.0001.0001.0000.7270.7210.6351.000
배출시설1.0000.9400.9301.0000.7271.0000.9710.9400.982
처리방법1.0000.9660.8871.0000.7210.9711.0000.8811.000
배출량1.0000.9780.9441.0000.6350.9400.8811.0001.000
허가(신고)일자1.0000.9780.9441.0001.0000.9821.0001.0001.000
2024-04-06T17:23:22.764817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법종별
처리방법1.0000.442
종별0.4421.000
2024-04-06T17:23:23.017499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별처리방법
종별1.0000.442
처리방법0.4421.000

Missing values

2024-04-06T17:23:13.296742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:23:13.608130image/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.
2024-04-06T17:23:13.807263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

상호명소재지업종전화번호종별배출시설처리방법배출량허가(신고)일자
0대성제제소전북특별자치도 장수군 번암면 장수로 66-3일반 제재업063-353-00405종제재시설 4대원심력집진시설2001993-06-11
1(주)동남전북특별자치도 장수군 번암면 장수로 153레미콘 제조업063-353-01155종계량시설 2개소외여과집진시설40외 2대1993-08-30
2장수자동차공업사전북특별자치도 장수군 장수읍 장천로 203자동차 종합 수리업063-351-06065종도장시설여과집진시설4002006-07-03
3장계자동차공업사전북특별자치도 장수군 장계면 원무농길 5자동차 전문 수리업063-352-50005종도장시설여과집진시설3801994-04-22
4(주)디앤에프전북특별자치도 장수군 장계면 진장로 1673-30그외 기타 비금속광물 광업<NA>5종비금속광물제품제조시설 2개소원심력집진시설외60외 1대1996-01-31
5장수농업협동조합전북특별자치도 장수군 장수읍 장수로 1858-13도정업063-351-89494종도정시설 4개소외원심력집진시설150외 2대1997-11-20
6창명사우나전북특별자치도 장수군 장계면 동동천변길 4목욕업063-352-18005종보일러시설 2대원심력집진시설40외 1대2000-07-13
7에이알콘크리트(주)전북특별자치도 장수군 장계면 육십령로 735-33기타 비금속 광물제품 제조업063-352-56012종건조시설외원심력+여과집진시설1200외 2대1991-08-05
8굿에디션명진전북특별자치도 장수군 천천면 장천로 901-13고무 및 플라스틱제품 제조업<NA>4종가열시설전기집진시설3002001-06-12
9JH유통전북특별자치도 장수군 계남면 사곡1길 12일반 제재업<NA>5종제재시설 9대원심력집진시설1302003-03-21
상호명소재지업종전화번호종별배출시설처리방법배출량허가(신고)일자
25장수전통옹기(장수군장애인보호작업장)전북특별자치도 장수군 장수읍 노하숲길 108-9가정용 및 장식용도자기 제조업063-351-99195종소성시설 3대면제<NA>2015-06-23
26유한회사 미성전북특별자치도 장수군 천천면 장천로 901-4가정용 및 장식용도자기 제조업<NA>5종소성시설면제<NA>2015-08-17
27장수화훼영농조합전북특별자치도 장수군 장수읍 송천로 61-77보일러063-351-84445종보일러시설면제<NA>2015-12-30
28농업기술센터전북특별자치도 장수군 장수읍 와동길 55관공서(톱밥배지 생산시설)063-351-53045종보일러시설 2대면제<NA>2015-12-30
29장수군청(환경자원사업소)전북특별자치도 장수군 장계면 금곡로 408생활폐기물 소각시설063-350-55891종소각시설외흡수에의한시설+여과집진시설71.92016-05-02
30타코마장수리조트전북특별자치도 장수군 계남면 장수로 2662-11숙박 및 목욕업063-353-82005종보일러시설 3대면제<NA>2016-06-10
31㈜제일환경전북특별자치도 장수군 장계면 금곡로 406재생아스콘 제조업063-353-51155종비금속광물제품제조시설면제<NA>2017-05-02
32전북유니텍고등학교전북특별자치도 장수군 장계면 장계7길 3도장시설063-351-15185종도장시설흡착에의한시설350외 1대2018-02-27
33에이알산업㈜전북특별자치도 장수군 장계면 육십령로 735-33건설폐기물처리업<NA>4종파쇄시설 2대외여과집진시설2002019-10-23
34㈜복수전북특별자치도 장수군 계남면 장수로 2734도축 고기 가공 및 저장처리업063-353-09084종그 밖의 배출시설외흡착에의한시설250외 1대2020-12-08