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.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15078060/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
신고 또는 허가 is highly overall correlated with 종별등급 and 1 other fieldsHigh correlation
종별등급 is highly overall correlated with 신고 또는 허가High correlation
방지시설 설치현황 is highly overall correlated with 신고 또는 허가High correlation
신고 또는 허가 is highly imbalanced (69.7%)Imbalance
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:44:16.690315
Analysis finished2024-04-21 01:44:19.071699
Duration2.38 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
2024-04-21T10:44:19.138739image/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
2024-04-21T10:44:19.258352image/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
2024-04-21T10:44:19.467658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7837838
Min length4

Characters and Unicode

Total characters288
Distinct characters118
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 (%)
주식회사 2
 
4.4%
농업회사법인 2
 
4.4%
함소아제약 1
 
2.2%
광림에스엔시 1
 
2.2%
진안군청(홍삼한방타운 1
 
2.2%
진안농업협동조합 1
 
2.2%
진안자동차공업사 1
 
2.2%
진안현대모터스 1
 
2.2%
태금콘크리트㈜ 1
 
2.2%
팜덕세븐 1
 
2.2%
Other values (33) 33
73.3%
2024-04-21T10:44:19.845162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 11
 
3.8%
업 11
 
3.8%
진 10
 
3.5%
( 9
 
3.1%
) 9
 
3.1%
안 9
 
3.1%
유 8
 
2.8%
8
 
2.8%
이 7
 
2.4%
회 7
 
2.4%
Other values (108) 199
69.1%

Most occurring categories

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

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 11
 
4.5%
업 11
 
4.5%
진 10
 
4.1%
안 9
 
3.7%
유 8
 
3.3%
이 7
 
2.8%
회 7
 
2.8%
농 6
 
2.4%
법 5
 
2.0%
콘 5
 
2.0%
Other values (98) 167
67.9%
Uppercase Letter
ValueCountFrequency (%)
O 2
28.6%
K 2
28.6%
A 1
14.3%
P 1
14.3%
C 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
87.8%
Common 28
 
9.7%
Latin 7
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 11
 
4.3%
업 11
 
4.3%
진 10
 
4.0%
안 9
 
3.6%
유 8
 
3.2%
이 7
 
2.8%
회 7
 
2.8%
㈜ 7
 
2.8%
농 6
 
2.4%
법 5
 
2.0%
Other values (99) 172
68.0%
Latin
ValueCountFrequency (%)
O 2
28.6%
K 2
28.6%
A 1
14.3%
P 1
14.3%
C 1
14.3%
Common
ValueCountFrequency (%)
( 9
32.1%
) 9
32.1%
8
28.6%
. 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
85.4%
ASCII 35
 
12.2%
None 7
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 11
 
4.5%
업 11
 
4.5%
진 10
 
4.1%
안 9
 
3.7%
유 8
 
3.3%
이 7
 
2.8%
회 7
 
2.8%
농 6
 
2.4%
법 5
 
2.0%
콘 5
 
2.0%
Other values (98) 167
67.9%
ASCII
ValueCountFrequency (%)
( 9
25.7%
) 9
25.7%
8
22.9%
O 2
 
5.7%
. 2
 
5.7%
K 2
 
5.7%
A 1
 
2.9%
P 1
 
2.9%
C 1
 
2.9%
None
ValueCountFrequency (%)
㈜ 7
100.0%

신고 또는 허가
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
신고
35 
허가
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고 35
94.6%
허가 2
 
5.4%

Length

2024-04-21T10:44:19.965228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:44:20.053254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 35
94.6%
허가 2
 
5.4%

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
2024-04-21T10:44:20.154891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:44:20.275199image/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
2024-04-21T10:44:20.466430image/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%
2024-04-21T10:44:20.789315image/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
2024-04-21T10:44:20.984464image/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%
2024-04-21T10:44:21.283938image/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

HIGH CORRELATION 

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

2024-04-21T10:44:21.414915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:44:21.513759image/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
2024-04-21T10:44:21.682360image/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%
2024-04-21T10:44:21.992183image/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
2024-04-21T10:44:22.179772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.5135135
Min length3

Characters and Unicode

Total characters352
Distinct characters50
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 row혼합시설, 고체입자상물질 저장시설
2nd row혼합시설
3rd row폐기물소각시설
4th row저장시설, 혼합시설
5th row건조시설, 혼합시설, 선별시설, 저장시설
ValueCountFrequency (%)
혼합시설 9
12.3%
등 7
 
9.6%
선별시설 7
 
9.6%
저장시설 5
 
6.8%
건조시설 5
 
6.8%
분쇄시설 5
 
6.8%
제재시설 4
 
5.5%
파쇄시설 4
 
5.5%
도장시설 4
 
5.5%
고체입자상물질 3
 
4.1%
Other values (15) 20
27.4%
2024-04-21T10:44:22.487914image/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%
혼 9
 
2.6%
합 9
 
2.6%
쇄 9
 
2.6%
별 7
 
2.0%
저 7
 
2.0%
Other values (40) 129
36.6%

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%
혼 9
 
3.1%
합 9
 
3.1%
쇄 9
 
3.1%
별 7
 
2.4%
저 7
 
2.4%
등 7
 
2.4%
선 7
 
2.4%
Other values (38) 115
39.4%
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%
혼 9
 
3.1%
합 9
 
3.1%
쇄 9
 
3.1%
별 7
 
2.4%
저 7
 
2.4%
등 7
 
2.4%
선 7
 
2.4%
Other values (38) 115
39.4%
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%
혼 9
 
3.1%
합 9
 
3.1%
쇄 9
 
3.1%
별 7
 
2.4%
저 7
 
2.4%
등 7
 
2.4%
선 7
 
2.4%
Other values (38) 115
39.4%
ASCII
ValueCountFrequency (%)
37
61.7%
, 23
38.3%

방지시설 설치현황
Categorical

HIGH CORRELATION 

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

2024-04-21T10:44:22.620442image/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
2024-04-15
37 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-15
2nd row2024-04-15
3rd row2024-04-15
4th row2024-04-15
5th row2024-04-15

Common Values

ValueCountFrequency (%)
2024-04-15 37
100.0%

Length

2024-04-21T10:44:22.731890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:44:22.816092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-15 37
100.0%

Interactions

2024-04-21T10:44:18.714259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:44:22.877258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명신고 또는 허가등록일자소재지업종종별등급주생산품배출시설 설치현황방지시설 설치현황
연번1.0001.0000.1340.8480.8600.8690.0000.8660.8510.629
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
신고 또는 허가0.1341.0001.0001.0000.0001.0000.9701.0001.0001.000
등록일자0.8481.0001.0001.0000.9770.0000.9420.7050.9840.895
소재지0.8601.0000.0000.9771.0000.9760.0000.9730.9380.939
업종0.8691.0001.0000.0000.9761.0000.6460.9820.8750.955
종별등급0.0001.0000.9700.9420.0000.6461.0000.1730.9840.800
주생산품0.8661.0001.0000.7050.9730.9820.1731.0000.0000.980
배출시설 설치현황0.8511.0001.0000.9840.9380.8750.9840.0001.0000.955
방지시설 설치현황0.6291.0001.0000.8950.9390.9550.8000.9800.9551.000
2024-04-21T10:44:22.993901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고 또는 허가종별등급방지시설 설치현황
신고 또는 허가1.0000.8190.811
종별등급0.8191.0000.493
방지시설 설치현황0.8110.4931.000
2024-04-21T10:44:23.072019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고 또는 허가종별등급방지시설 설치현황
연번1.0000.0000.0000.260
신고 또는 허가0.0001.0000.8190.811
종별등급0.0000.8191.0000.493
방지시설 설치현황0.2600.8110.4931.000

Missing values

2024-04-21T10:44:18.882219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:44:19.012092image/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 제조업4종레미콘혼합시설, 고체입자상물질 저장시설여과집진시설2024-04-15
12(유)승원신고2008-09-30전북특별자치도 진안군 마령면 진무로 98-21콘크리트관 및 기타 구조용 콘크리트제품 제조업5종콘크리트관혼합시설여과집진시설2024-04-15
23(주)강성산업개발신고2003-07-16전북특별자치도 진안군 부귀면 전진로 2091폐기물 처리업4종재생골재폐기물소각시설세정식집진시설2024-04-15
34(주)반석레미콘신고1994-08-26전북특별자치도 진안군 용담면 안용로 1196비금속광물제품 제조업4종레미콘저장시설, 혼합시설여과집진시설2024-04-15
45O.K아스콘(유)허가2003-10-11전북특별자치도 진안군 진안읍 반월길 29아스콘 제조업3종아스콘건조시설, 혼합시설, 선별시설, 저장시설원심력집진시설, 여과집진시설2024-04-15
56농업회사법진안마을주식회사신고2013-06-27전북특별자치도 진안군 진안읍 개실길 10곡물 도정업5종보리, 기장도정시설원심력집진시설2024-04-15
67진안산업신고2008-03-14전북특별자치도 진안군 마령면 임진로 2539-52위생용 플라스틱제품 제조업4종빗물받이용융용해, 분쇄시설원심력, 세정식집진시설2024-04-15
78무진장공업사신고1993-12-20전북특별자치도 진안군 진안읍 전진로 3136-9자동차 종합 수리업5종운수장비 수선건조시설여과 및 흡착에 의한 시설2024-04-15
89무진장축산업협동조합신고2015-06-03전북특별자치도 진안군 진안읍 관암길 8-7동물용 사료 및 조제식품 제조업4종TMR사료고체입자상물질저장시설, 혼합시설 등여과집진시설2024-04-15
910문송제재소신고2011-10-10전북특별자치도 진안군 진안읍 진장로 365-13일반 제재업5종판재, 각재제재시설원심력집진시설2024-04-15
연번사업장명신고 또는 허가등록일자소재지업종종별등급주생산품배출시설 설치현황방지시설 설치현황데이터 기준일자
2728호남도정신고2004-07-16전북특별자치도 진안군 진안읍 진무로 982곡물 도정업5종미곡도정시설, 저장시설 등원심력 집진시설2024-04-15
2829대상㈜ 진안APC신고2013-10-24전북특별자치도 진안군 진안읍 대연장길 4기타 곡물가공 저장시설5종미곡선별시설 등여과집진시설2024-04-15
2930(유)대성환경신고2009-07-29전북특별자치도 진안군 부귀면 전진로 2091건설 폐기물 처리업5종순환골재파쇄시설, 선별시설방지시설 설치면제2024-04-15
3031(유)신영신고2022-01-12전북특별자치도 진안군 마령면 관진로 1451건설 폐기물 처리업5종재생골재파쇄시설, 선별시설방지시설 설치면제2024-04-15
3132㈜바이오테크신고2005-09-23전북특별자치도 진안군 동향면 동계로 328비금속광물 분쇄물 생산업4종탄산칼슘분쇄시설 등여과집진시설2024-04-15
3233(유)제일신고2022-01-16전북특별자치도 진안군 진안읍 진무로 1220건설용 석재 채굴업5종골재파쇄시설, 선별시설방지시설 설치면제2024-04-15
3334주식회사 우드사이로신고2022-03-04전북특별자치도 진안군 마령면 관진로 1619표면가공목재 및 특정목적용 제재목 제조업5종우드칩, 톱밥파쇄시설, 선별시설방지시설 설치면제2024-04-15
3435마이유기질비료신고2021-05-21전북특별자치도 진안군 마령면 오동2길 35-120비료 및 질소화합물 제조업5종가축분퇴비혼합시설흡수에 의한 시설2024-04-15
3536바른영농조합법인신고2022-03-11전북특별자치도 진안군 마령면 텃골길 32비료 및 질소화합물 제조업4종유기질비료혼합시설세정집진시설2024-04-15
3637농업회사법인 유한회사 이삭신고2022-12-22전북특별자치도 진안군 부귀면 오복1길 27-3폐기물 처리업5종유기질비료분쇄시설 등세정집진시설2024-04-15