Overview

Dataset statistics

Number of variables11
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory92.6 B

Variable types

Numeric1
Text5
Categorical4
DateTime1

Dataset

Description전북특별자치도 진안군 대기 배출시설 현황에 대한 데이터입니다. 사업장명, 등록일자, 소재지, 업종, 주생산품, 배출시설 설치현황 등의 정보를 제공됩니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=24&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15078060

Alerts

신고 또는 허가 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:34:51.568303
Analysis finished2024-03-14 01:34:52.343937
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-14T10:34:52.392398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2024-03-14T10:34:52.511347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

사업장명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:34:52.705981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7837838
Min length4

Characters and Unicode

Total characters288
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row(유)O.K
2nd row(유)승원
3rd row(주)강성산업개발
4th row(주)반석레미콘
5th rowO.K아스콘(유)
ValueCountFrequency (%)
농업회사법인 2
 
4.5%
유)o.k 1
 
2.3%
함소아제약 1
 
2.3%
진안군청(홍삼한방타운 1
 
2.3%
진안농업협동조합 1
 
2.3%
진안자동차공업사 1
 
2.3%
진안현대모터스 1
 
2.3%
태금콘크리트㈜ 1
 
2.3%
팜덕세븐 1
 
2.3%
호남도정 1
 
2.3%
Other values (33) 33
75.0%
2024-03-14T10:34:52.999299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 11
 
3.8%
사 10
 
3.5%
진 10
 
3.5%
( 9
 
3.1%
안 9
 
3.1%
) 9
 
3.1%
㈜ 8
 
2.8%
유 8
 
2.8%
7
 
2.4%
이 6
 
2.1%
Other values (111) 201
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
85.4%
Open Punctuation 9
 
3.1%
Close Punctuation 9
 
3.1%
Other Symbol 8
 
2.8%
Space Separator 7
 
2.4%
Uppercase Letter 7
 
2.4%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
 
4.5%
사 10
 
4.1%
진 10
 
4.1%
안 9
 
3.7%
유 8
 
3.3%
이 6
 
2.4%
회 6
 
2.4%
농 6
 
2.4%
드 5
 
2.0%
법 5
 
2.0%
Other values (101) 170
69.1%
Uppercase Letter
ValueCountFrequency (%)
O 2
28.6%
K 2
28.6%
C 1
14.3%
P 1
14.3%
A 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 254
88.2%
Common 27
 
9.4%
Latin 7
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 11
 
4.3%
사 10
 
3.9%
진 10
 
3.9%
안 9
 
3.5%
㈜ 8
 
3.1%
유 8
 
3.1%
이 6
 
2.4%
회 6
 
2.4%
농 6
 
2.4%
드 5
 
2.0%
Other values (102) 175
68.9%
Latin
ValueCountFrequency (%)
O 2
28.6%
K 2
28.6%
C 1
14.3%
P 1
14.3%
A 1
14.3%
Common
ValueCountFrequency (%)
( 9
33.3%
) 9
33.3%
7
25.9%
. 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
85.4%
ASCII 34
 
11.8%
None 8
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 11
 
4.5%
사 10
 
4.1%
진 10
 
4.1%
안 9
 
3.7%
유 8
 
3.3%
이 6
 
2.4%
회 6
 
2.4%
농 6
 
2.4%
드 5
 
2.0%
법 5
 
2.0%
Other values (101) 170
69.1%
ASCII
ValueCountFrequency (%)
( 9
26.5%
) 9
26.5%
7
20.6%
O 2
 
5.9%
. 2
 
5.9%
K 2
 
5.9%
C 1
 
2.9%
P 1
 
2.9%
A 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 8
100.0%

신고 또는 허가
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
신고
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고 37
100.0%

Length

2024-03-14T10:34:53.170826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:53.257618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 37
100.0%

등록일자
Date

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1991-06-25 00:00:00
Maximum2022-12-22 00:00:00
2024-03-14T10:34:53.335203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:34:53.424214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

소재지
Text

Distinct35
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:34:53.599202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length24.513514
Min length22

Characters and Unicode

Total characters907
Distinct characters65
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

Unique33 ?
Unique (%)89.2%

Sample

1st row전북특별자치도 진안군 진안읍 반월길 39
2nd row전북특별자치도 진안군 마령면 진무로 98-21
3rd row전북특별자치도 진안군 부귀면 전진로 2091
4th row전북특별자치도 진안군 용담면 안용로 1196
5th row전북특별자치도 진안군 진안읍 반월길 29
ValueCountFrequency (%)
전북특별자치도 37
20.0%
진안군 37
20.0%
진안읍 22
 
11.9%
전진로 6
 
3.2%
마령면 6
 
3.2%
홍삼한방로 6
 
3.2%
진무로 4
 
2.2%
부귀면 4
 
2.2%
1196 2
 
1.1%
안용로 2
 
1.1%
Other values (54) 59
31.9%
2024-03-14T10:34:53.956462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
16.3%
진 73
 
8.0%
안 62
 
6.8%
전 43
 
4.7%
북 39
 
4.3%
특 37
 
4.1%
별 37
 
4.1%
자 37
 
4.1%
치 37
 
4.1%
도 37
 
4.1%
Other values (55) 357
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 612
67.5%
Space Separator 148
 
16.3%
Decimal Number 131
 
14.4%
Dash Punctuation 16
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 73
11.9%
안 62
 
10.1%
전 43
 
7.0%
북 39
 
6.4%
특 37
 
6.0%
별 37
 
6.0%
자 37
 
6.0%
치 37
 
6.0%
도 37
 
6.0%
군 37
 
6.0%
Other values (43) 173
28.3%
Decimal Number
ValueCountFrequency (%)
1 30
22.9%
2 28
21.4%
3 20
15.3%
9 15
11.5%
0 8
 
6.1%
6 8
 
6.1%
5 8
 
6.1%
8 7
 
5.3%
4 4
 
3.1%
7 3
 
2.3%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 612
67.5%
Common 295
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 73
11.9%
안 62
 
10.1%
전 43
 
7.0%
북 39
 
6.4%
특 37
 
6.0%
별 37
 
6.0%
자 37
 
6.0%
치 37
 
6.0%
도 37
 
6.0%
군 37
 
6.0%
Other values (43) 173
28.3%
Common
ValueCountFrequency (%)
148
50.2%
1 30
 
10.2%
2 28
 
9.5%
3 20
 
6.8%
- 16
 
5.4%
9 15
 
5.1%
0 8
 
2.7%
6 8
 
2.7%
5 8
 
2.7%
8 7
 
2.4%
Other values (2) 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 612
67.5%
ASCII 295
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
50.2%
1 30
 
10.2%
2 28
 
9.5%
3 20
 
6.8%
- 16
 
5.4%
9 15
 
5.1%
0 8
 
2.7%
6 8
 
2.7%
5 8
 
2.7%
8 7
 
2.4%
Other values (2) 7
 
2.4%
Hangul
ValueCountFrequency (%)
진 73
11.9%
안 62
 
10.1%
전 43
 
7.0%
북 39
 
6.4%
특 37
 
6.0%
별 37
 
6.0%
자 37
 
6.0%
치 37
 
6.0%
도 37
 
6.0%
군 37
 
6.0%
Other values (43) 173
28.3%

업종
Text

Distinct25
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:34:54.145636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length11.081081
Min length6

Characters and Unicode

Total characters410
Distinct characters81
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)43.2%

Sample

1st row비금속광물제품 제조업
2nd row콘크리트관 및 기타 구조용 콘크리트제품 제조업
3rd row폐기물 처리업
4th row비금속광물제품 제조업
5th row아스콘 제조업
ValueCountFrequency (%)
제조업 16
 
14.4%
및 10
 
9.0%
처리업 5
 
4.5%
자동차 4
 
3.6%
수리업 4
 
3.6%
종합 4
 
3.6%
폐기물 4
 
3.6%
곡물 3
 
2.7%
도정업 3
 
2.7%
기타 3
 
2.7%
Other values (43) 55
49.5%
2024-03-14T10:34:54.461518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
18.0%
업 36
 
8.8%
제 28
 
6.8%
조 21
 
5.1%
물 15
 
3.7%
리 12
 
2.9%
재 11
 
2.7%
및 10
 
2.4%
품 9
 
2.2%
목 8
 
2.0%
Other values (71) 186
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
82.0%
Space Separator 74
 
18.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 36
 
10.7%
제 28
 
8.3%
조 21
 
6.2%
물 15
 
4.5%
리 12
 
3.6%
재 11
 
3.3%
및 10
 
3.0%
품 9
 
2.7%
목 8
 
2.4%
가 8
 
2.4%
Other values (70) 178
53.0%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
82.0%
Common 74
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 36
 
10.7%
제 28
 
8.3%
조 21
 
6.2%
물 15
 
4.5%
리 12
 
3.6%
재 11
 
3.3%
및 10
 
3.0%
품 9
 
2.7%
목 8
 
2.4%
가 8
 
2.4%
Other values (70) 178
53.0%
Common
ValueCountFrequency (%)
74
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
82.0%
ASCII 74
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
100.0%
Hangul
ValueCountFrequency (%)
업 36
 
10.7%
제 28
 
8.3%
조 21
 
6.2%
물 15
 
4.5%
리 12
 
3.6%
재 11
 
3.3%
및 10
 
3.0%
품 9
 
2.7%
목 8
 
2.4%
가 8
 
2.4%
Other values (70) 178
53.0%

종별등급
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
5종
23 
4종
11 
3종
 
2
2종
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row4종
2nd row5종
3rd row4종
4th row4종
5th row3종

Common Values

ValueCountFrequency (%)
5종 23
62.2%
4종 11
29.7%
3종 2
 
5.4%
2종 1
 
2.7%

Length

2024-03-14T10:34:54.569407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:54.671204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 23
62.2%
4종 11
29.7%
3종 2
 
5.4%
2종 1
 
2.7%

주생산품
Text

Distinct27
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:34:54.850885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length4.5405405
Min length2

Characters and Unicode

Total characters168
Distinct characters78
Distinct categories4 ?
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 (%)54.1%

Sample

1st row레미콘
2nd row콘크리트관
3rd row재생골재
4th row레미콘
5th row아스콘
ValueCountFrequency (%)
레미콘 3
 
6.2%
정비 3
 
6.2%
미곡 3
 
6.2%
자동차 3
 
6.2%
목재 2
 
4.2%
유기질비료 2
 
4.2%
아스콘 2
 
4.2%
재생골재 2
 
4.2%
골재 1
 
2.1%
홍삼 1
 
2.1%
Other values (26) 26
54.2%
2024-03-14T10:34:55.224518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 13
 
7.7%
11
 
6.5%
비 7
 
4.2%
콘 6
 
3.6%
미 6
 
3.6%
, 5
 
3.0%
료 4
 
2.4%
자 4
 
2.4%
삼 4
 
2.4%
리 4
 
2.4%
Other values (68) 104
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
88.7%
Space Separator 11
 
6.5%
Other Punctuation 5
 
3.0%
Uppercase Letter 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 13
 
8.7%
비 7
 
4.7%
콘 6
 
4.0%
미 6
 
4.0%
료 4
 
2.7%
자 4
 
2.7%
삼 4
 
2.7%
리 4
 
2.7%
골 4
 
2.7%
레 3
 
2.0%
Other values (63) 94
63.1%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
M 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
88.7%
Common 16
 
9.5%
Latin 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 13
 
8.7%
비 7
 
4.7%
콘 6
 
4.0%
미 6
 
4.0%
료 4
 
2.7%
자 4
 
2.7%
삼 4
 
2.7%
리 4
 
2.7%
골 4
 
2.7%
레 3
 
2.0%
Other values (63) 94
63.1%
Latin
ValueCountFrequency (%)
R 1
33.3%
M 1
33.3%
T 1
33.3%
Common
ValueCountFrequency (%)
11
68.8%
, 5
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
88.7%
ASCII 19
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 13
 
8.7%
비 7
 
4.7%
콘 6
 
4.0%
미 6
 
4.0%
료 4
 
2.7%
자 4
 
2.7%
삼 4
 
2.7%
리 4
 
2.7%
골 4
 
2.7%
레 3
 
2.0%
Other values (63) 94
63.1%
ASCII
ValueCountFrequency (%)
11
57.9%
, 5
26.3%
R 1
 
5.3%
M 1
 
5.3%
T 1
 
5.3%

배출시설 설치현황
Text

Distinct28
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-14T10:34:55.492825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.5135135
Min length3

Characters and Unicode

Total characters352
Distinct characters52
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

Unique22 ?
Unique (%)59.5%

Sample

1st row계량시설, 고체입자상물질 저장시설
2nd row혼합시설
3rd row폐기물소각시설
4th row저장시설, 혼합시설
5th row건조시설, 혼합시설, 선별시설, 저장시설
ValueCountFrequency (%)
혼합시설 8
 
11.0%
등 7
 
9.6%
선별시설 7
 
9.6%
저장시설 5
 
6.8%
분쇄시설 5
 
6.8%
건조시설 5
 
6.8%
파쇄시설 4
 
5.5%
제재시설 4
 
5.5%
도장시설 4
 
5.5%
도정시설 3
 
4.1%
Other values (16) 21
28.8%
2024-03-14T10:34:55.757041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 55
15.6%
설 55
15.6%
37
 
10.5%
, 23
 
6.5%
장 12
 
3.4%
쇄 9
 
2.6%
혼 8
 
2.3%
합 8
 
2.3%
저 7
 
2.0%
선 7
 
2.0%
Other values (42) 131
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
83.0%
Space Separator 37
 
10.5%
Other Punctuation 23
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
18.8%
설 55
18.8%
장 12
 
4.1%
쇄 9
 
3.1%
혼 8
 
2.7%
합 8
 
2.7%
저 7
 
2.4%
선 7
 
2.4%
별 7
 
2.4%
등 7
 
2.4%
Other values (40) 117
40.1%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
83.0%
Common 60
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
18.8%
설 55
18.8%
장 12
 
4.1%
쇄 9
 
3.1%
혼 8
 
2.7%
합 8
 
2.7%
저 7
 
2.4%
선 7
 
2.4%
별 7
 
2.4%
등 7
 
2.4%
Other values (40) 117
40.1%
Common
ValueCountFrequency (%)
37
61.7%
, 23
38.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
83.0%
ASCII 60
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 55
18.8%
설 55
18.8%
장 12
 
4.1%
쇄 9
 
3.1%
혼 8
 
2.7%
합 8
 
2.7%
저 7
 
2.4%
선 7
 
2.4%
별 7
 
2.4%
등 7
 
2.4%
Other values (40) 117
40.1%
ASCII
ValueCountFrequency (%)
37
61.7%
, 23
38.3%

방지시설 설치현황
Categorical

Distinct14
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
여과집진시설
8 
원심력집진시설
6 
방지시설 설치면제
6 
여과 및 흡착에 의한 시설
4 
세정식집진시설
2 
Other values (9)
11 

Length

Max length18
Median length15
Mean length9.4324324
Min length6

Unique

Unique7 ?
Unique (%)18.9%

Sample

1st row여과집진시설
2nd row여과집진시설
3rd row세정식집진시설
4th row여과집진시설
5th row원심력집진시설, 여과집진시설

Common Values

ValueCountFrequency (%)
여과집진시설 8
21.6%
원심력집진시설 6
16.2%
방지시설 설치면제 6
16.2%
여과 및 흡착에 의한 시설 4
10.8%
세정식집진시설 2
 
5.4%
원심력집진시설, 여과집진시설 2
 
5.4%
세정집진시설 2
 
5.4%
원심력, 세정식집진시설 1
 
2.7%
연소에 의한 시설, 방지시설 면제 1
 
2.7%
세정집진, 흡수에 의한 시설 1
 
2.7%
Other values (4) 4
10.8%

Length

2024-03-14T10:34:55.887379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여과집진시설 11
14.7%
원심력집진시설 9
12.0%
방지시설 8
10.7%
의한 7
9.3%
시설 7
9.3%
설치면제 6
8.0%
여과 4
 
5.3%
및 4
 
5.3%
흡착에 4
 
5.3%
세정식집진시설 3
 
4.0%
Other values (8) 12
16.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-03-24
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-24
2nd row2023-03-24
3rd row2023-03-24
4th row2023-03-24
5th row2023-03-24

Common Values

ValueCountFrequency (%)
2023-03-24 37
100.0%

Length

2024-03-14T10:34:56.017727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:34:56.125123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-24 37
100.0%

Interactions

2024-03-14T10:34:52.044681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:34:56.210566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명등록일자소재지업종종별등급주생산품배출시설 설치현황방지시설 설치현황
연번1.0001.0000.8480.8600.8690.0000.8660.8510.629
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일자0.8481.0001.0000.9770.0000.9420.7050.9840.895
소재지0.8601.0000.9771.0000.9760.0000.9730.9380.939
업종0.8691.0000.0000.9761.0000.6460.9820.8750.955
종별등급0.0001.0000.9420.0000.6461.0000.1730.9840.800
주생산품0.8661.0000.7050.9730.9820.1731.0000.0000.980
배출시설 설치현황0.8511.0000.9840.9380.8750.9840.0001.0000.955
방지시설 설치현황0.6291.0000.8950.9390.9550.8000.9800.9551.000
2024-03-14T10:34:56.318047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별등급방지시설 설치현황
종별등급1.0000.493
방지시설 설치현황0.4931.000
2024-03-14T10:34:56.399996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별등급방지시설 설치현황
연번1.0000.0000.260
종별등급0.0001.0000.493
방지시설 설치현황0.2600.4931.000

Missing values

2024-03-14T10:34:52.166973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:34:52.294130image/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

연번사업장명신고 또는 허가등록일자소재지업종종별등급주생산품배출시설 설치현황방지시설 설치현황데이터 기준일자
01(유)O.K신고1991-06-25전북특별자치도 진안군 진안읍 반월길 39비금속광물제품 제조업4종레미콘계량시설, 고체입자상물질 저장시설여과집진시설2023-03-24
12(유)승원신고2008-09-30전북특별자치도 진안군 마령면 진무로 98-21콘크리트관 및 기타 구조용 콘크리트제품 제조업5종콘크리트관혼합시설여과집진시설2023-03-24
23(주)강성산업개발신고2003-07-16전북특별자치도 진안군 부귀면 전진로 2091폐기물 처리업4종재생골재폐기물소각시설세정식집진시설2023-03-24
34(주)반석레미콘신고1994-08-26전북특별자치도 진안군 용담면 안용로 1196비금속광물제품 제조업4종레미콘저장시설, 혼합시설여과집진시설2023-03-24
45O.K아스콘(유)신고2003-10-11전북특별자치도 진안군 진안읍 반월길 29아스콘 제조업3종아스콘건조시설, 혼합시설, 선별시설, 저장시설원심력집진시설, 여과집진시설2023-03-24
56농업회사법진안마을주식회사신고2013-06-27전북특별자치도 진안군 진안읍 개실길 10곡물 도정업5종보리, 기장도정시설원심력집진시설2023-03-24
67진안산업신고2008-03-14전북특별자치도 진안군 마령면 임진로 2539-52위생용 플라스틱제품 제조업4종빗물받이용융용해, 분쇄시설원심력, 세정식집진시설2023-03-24
78무진장공업사신고1993-12-20전북특별자치도 진안군 진안읍 전진로 3136-9자동차 종합 수리업5종운수장비 수선건조시설여과 및 흡착에 의한 시설2023-03-24
89무진장축산업협동조합신고2015-06-03전북특별자치도 진안군 진안읍 관암길 8-7동물용 사료 및 조제식품 제조업4종TMR사료고체입자상물질저장시설, 혼합시설 등여과집진시설2023-03-24
910문송제재소신고2011-10-10전북특별자치도 진안군 진안읍 진장로 365-13일반 제재업5종판재, 각재제재시설원심력집진시설2023-03-24
연번사업장명신고 또는 허가등록일자소재지업종종별등급주생산품배출시설 설치현황방지시설 설치현황데이터 기준일자
2728호남도정신고2004-07-16전북특별자치도 진안군 진안읍 진무로 982곡물 도정업5종미곡도정시설, 저장시설 등원심력 집진시설2023-03-24
2829대상㈜ 진안APC신고2013-10-24전북특별자치도 진안군 진안읍 대연장길 4기타 곡물가공 저장시설5종미곡선별시설 등여과집진시설2023-03-24
2930(유)대성환경신고2009-07-29전북특별자치도 진안군 부귀면 전진로 2091건설 폐기물 처리업5종순환골재파쇄시설, 선별시설방지시설 설치면제2023-03-24
3031(유)신영신고2022-01-12전북특별자치도 진안군 마령면 관진로 1451건설 폐기물 처리업5종재생골재파쇄시설, 선별시설방지시설 설치면제2023-03-24
3132㈜바이오테크신고2005-09-23전북특별자치도 진안군 동향면 동계로 328비금속광물 분쇄물 생산업4종탄산칼슘분쇄시설 등여과집진시설2023-03-24
3233(유)제일신고2022-01-16전북특별자치도 진안군 진안읍 진무로 1220건설용 석재 채굴업5종골재파쇄시설, 선별시설방지시설 설치면제2023-03-24
3334주식회사 우드사이로신고2022-03-04전북특별자치도 진안군 마령면 관진로 1619표면가공목재 및 특정목적용 제재목 제조업5종우드칩, 톱밥파쇄시설, 선별시설방지시설 설치면제2023-03-24
3435마이유기질비료신고2021-05-21전북특별자치도 진안군 마령면 오동2길 35-120비료 및 질소화합물 제조업5종가축분퇴비혼합시설흡수에 의한 시설2023-03-24
3536바른영농조합법인신고2022-03-11전북특별자치도 진안군 마령면 텃골길 32비료 및 질소화합물 제조업4종유기질비료혼합시설세정집진시설2023-03-24
3637농업회사법인 유한회사 이삭신고2022-12-22전북특별자치도 진안군 부귀면 오복1길 27-3폐기물 처리업5종유기질비료분쇄시설 등세정집진시설2023-03-24