Overview

Dataset statistics

Number of variables13
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory107.0 B

Variable types

Numeric1
Text4
Categorical6
DateTime2

Dataset

Description경상북도 대기환경보전법 위반 행정처분 현황(경상북도 대기환경보전법 위반 행정처분 업소의 허가번호, 업소명, 소재지, 업종, 행정처분 대상 시설물, 위반내용 등의 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15052023/fileData.do

Alerts

위반내용 is highly overall correlated with 행정처분명High correlation
행정처분명 is highly overall correlated with 위반내용 and 1 other fieldsHigh correlation
이행일자 is highly overall correlated with 행정처분명High correlation
대표자 is highly imbalanced (85.6%)Imbalance
이행일자 is highly imbalanced (80.3%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:12:05.508060
Analysis finished2024-03-14 12:12:08.295275
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size713.0 B
2024-03-14T21:12:08.485245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2024-03-14T21:12:08.923980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%
56 1
1.5%

허가번호
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T21:12:09.792667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9846154
Min length8

Characters and Unicode

Total characters584
Distinct characters21
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

Unique56 ?
Unique (%)86.2%

Sample

1st row허가 05-060
2nd row허가 09-005
3rd row신고 14-026
4th row신고 01-047
5th row허가 03-012
ValueCountFrequency (%)
허가 40
30.8%
신고 24
18.5%
03-012 3
 
2.3%
05-071 2
 
1.5%
14-033 2
 
1.5%
14-024 2
 
1.5%
02-023 1
 
0.8%
01-014 1
 
0.8%
03-015 1
 
0.8%
15-006 1
 
0.8%
Other values (53) 53
40.8%
2024-03-14T21:12:11.075396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 128
21.9%
65
11.1%
- 64
11.0%
1 62
10.6%
허 41
 
7.0%
가 41
 
7.0%
4 29
 
5.0%
2 29
 
5.0%
신 24
 
4.1%
고 24
 
4.1%
Other values (11) 77
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
54.8%
Other Letter 135
23.1%
Space Separator 65
 
11.1%
Dash Punctuation 64
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 128
40.0%
1 62
19.4%
4 29
 
9.1%
2 29
 
9.1%
3 20
 
6.2%
5 15
 
4.7%
7 13
 
4.1%
6 12
 
3.8%
9 7
 
2.2%
8 5
 
1.6%
Other Letter
ValueCountFrequency (%)
허 41
30.4%
가 41
30.4%
신 24
17.8%
고 24
17.8%
증 1
 
0.7%
파 1
 
0.7%
일 1
 
0.7%
없 1
 
0.7%
음 1
 
0.7%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 449
76.9%
Hangul 135
 
23.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 128
28.5%
65
14.5%
- 64
14.3%
1 62
13.8%
4 29
 
6.5%
2 29
 
6.5%
3 20
 
4.5%
5 15
 
3.3%
7 13
 
2.9%
6 12
 
2.7%
Other values (2) 12
 
2.7%
Hangul
ValueCountFrequency (%)
허 41
30.4%
가 41
30.4%
신 24
17.8%
고 24
17.8%
증 1
 
0.7%
파 1
 
0.7%
일 1
 
0.7%
없 1
 
0.7%
음 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 449
76.9%
Hangul 135
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 128
28.5%
65
14.5%
- 64
14.3%
1 62
13.8%
4 29
 
6.5%
2 29
 
6.5%
3 20
 
4.5%
5 15
 
3.3%
7 13
 
2.9%
6 12
 
2.7%
Other values (2) 12
 
2.7%
Hangul
ValueCountFrequency (%)
허 41
30.4%
가 41
30.4%
신 24
17.8%
고 24
17.8%
증 1
 
0.7%
파 1
 
0.7%
일 1
 
0.7%
없 1
 
0.7%
음 1
 
0.7%

업소명
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T21:12:11.984419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.1384615
Min length3

Characters and Unicode

Total characters464
Distinct characters149
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)86.2%

Sample

1st row㈜엔피케이(1공장)
2nd row문경시 폐기물소각장
3rd row㈜대욱케스트
4th row동해화학공업㈜
5th row한국오웬스코닝㈜
ValueCountFrequency (%)
한국오웬스코닝㈜ 3
 
4.0%
보국주물공업㈜ 2
 
2.7%
㈜동신금속 2
 
2.7%
㈜대평산업개발 2
 
2.7%
구미공장 2
 
2.7%
㈜세아메카닉스 1
 
1.3%
주식회사 1
 
1.3%
진영페이퍼 1
 
1.3%
㈜보광티앤씨 1
 
1.3%
농림축산검역본부 1
 
1.3%
Other values (59) 59
78.7%
2024-03-14T21:12:13.346094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 59
 
12.7%
업 14
 
3.0%
스 14
 
3.0%
산 14
 
3.0%
공 13
 
2.8%
한 12
 
2.6%
이 12
 
2.6%
장 10
 
2.2%
10
 
2.2%
속 10
 
2.2%
Other values (139) 296
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
81.2%
Other Symbol 59
 
12.7%
Space Separator 10
 
2.2%
Close Punctuation 6
 
1.3%
Open Punctuation 6
 
1.3%
Decimal Number 3
 
0.6%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 14
 
3.7%
스 14
 
3.7%
산 14
 
3.7%
공 13
 
3.4%
한 12
 
3.2%
이 12
 
3.2%
장 10
 
2.7%
속 10
 
2.7%
주 10
 
2.7%
금 10
 
2.7%
Other values (129) 258
68.4%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 59
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
94.0%
Common 28
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 59
 
13.5%
업 14
 
3.2%
스 14
 
3.2%
산 14
 
3.2%
공 13
 
3.0%
한 12
 
2.8%
이 12
 
2.8%
장 10
 
2.3%
속 10
 
2.3%
주 10
 
2.3%
Other values (130) 268
61.5%
Common
ValueCountFrequency (%)
10
35.7%
) 5
17.9%
( 5
17.9%
1 2
 
7.1%
. 2
 
7.1%
[ 1
 
3.6%
& 1
 
3.6%
] 1
 
3.6%
2 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
81.2%
None 59
 
12.7%
ASCII 28
 
6.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 59
100.0%
Hangul
ValueCountFrequency (%)
업 14
 
3.7%
스 14
 
3.7%
산 14
 
3.7%
공 13
 
3.4%
한 12
 
3.2%
이 12
 
3.2%
장 10
 
2.7%
속 10
 
2.7%
주 10
 
2.7%
금 10
 
2.7%
Other values (129) 258
68.4%
ASCII
ValueCountFrequency (%)
10
35.7%
) 5
17.9%
( 5
17.9%
1 2
 
7.1%
. 2
 
7.1%
[ 1
 
3.6%
& 1
 
3.6%
] 1
 
3.6%
2 1
 
3.6%

대표자
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size648.0 B
대표이사
63 
구미시장
 
1
경주시장
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
대표이사 63
96.9%
구미시장 1
 
1.5%
경주시장 1
 
1.5%

Length

2024-03-14T21:12:13.760276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:12:14.076791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표이사 63
96.9%
구미시장 1
 
1.5%
경주시장 1
 
1.5%

소재지
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T21:12:15.225106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length30
Mean length23.584615
Min length10

Characters and Unicode

Total characters1533
Distinct characters117
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

Unique56 ?
Unique (%)86.2%

Sample

1st row구미시 옥계2공단로5길 7(구포동 623-14)[우.39417]
2nd row문경시 배실안길 94(공평동 산71)[우. 36991]
3rd row고령군 다산면 다산산단로 156[우. 40113]
4th row포항시 북구 청하면 동해대로 2694-71(월포리 492)[우. 37517]
5th row김천시 공단3길 156[우. 39537]
ValueCountFrequency (%)
고령군 18
 
6.4%
다산면 17
 
6.1%
포항시 12
 
4.3%
구미시 9
 
3.2%
남구 8
 
2.9%
김천시 7
 
2.5%
다산산단로 7
 
2.5%
다산산단1길 6
 
2.1%
40113 5
 
1.8%
영천시 4
 
1.4%
Other values (152) 187
66.8%
2024-03-14T21:12:16.917702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
 
14.4%
1 87
 
5.7%
3 80
 
5.2%
산 69
 
4.5%
] 46
 
3.0%
[ 46
 
3.0%
우 46
 
3.0%
. 46
 
3.0%
시 44
 
2.9%
7 42
 
2.7%
Other values (107) 806
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
44.8%
Decimal Number 463
30.2%
Space Separator 221
 
14.4%
Open Punctuation 51
 
3.3%
Close Punctuation 50
 
3.3%
Other Punctuation 48
 
3.1%
Dash Punctuation 13
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 69
 
10.0%
우 46
 
6.7%
시 44
 
6.4%
길 37
 
5.4%
다 34
 
4.9%
로 33
 
4.8%
단 30
 
4.4%
면 30
 
4.4%
군 23
 
3.3%
구 22
 
3.2%
Other values (88) 319
46.4%
Decimal Number
ValueCountFrequency (%)
1 87
18.8%
3 80
17.3%
7 42
9.1%
6 39
8.4%
0 38
8.2%
4 37
8.0%
9 36
7.8%
2 35
7.6%
8 35
7.6%
5 34
 
7.3%
Other Punctuation
ValueCountFrequency (%)
. 46
95.8%
: 1
 
2.1%
, 1
 
2.1%
Close Punctuation
ValueCountFrequency (%)
] 46
92.0%
) 4
 
8.0%
Open Punctuation
ValueCountFrequency (%)
[ 46
90.2%
( 5
 
9.8%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 846
55.2%
Hangul 687
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 69
 
10.0%
우 46
 
6.7%
시 44
 
6.4%
길 37
 
5.4%
다 34
 
4.9%
로 33
 
4.8%
단 30
 
4.4%
면 30
 
4.4%
군 23
 
3.3%
구 22
 
3.2%
Other values (88) 319
46.4%
Common
ValueCountFrequency (%)
221
26.1%
1 87
 
10.3%
3 80
 
9.5%
] 46
 
5.4%
[ 46
 
5.4%
. 46
 
5.4%
7 42
 
5.0%
6 39
 
4.6%
0 38
 
4.5%
4 37
 
4.4%
Other values (9) 164
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 846
55.2%
Hangul 687
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
26.1%
1 87
 
10.3%
3 80
 
9.5%
] 46
 
5.4%
[ 46
 
5.4%
. 46
 
5.4%
7 42
 
5.0%
6 39
 
4.6%
0 38
 
4.5%
4 37
 
4.4%
Other values (9) 164
19.4%
Hangul
ValueCountFrequency (%)
산 69
 
10.0%
우 46
 
6.7%
시 44
 
6.4%
길 37
 
5.4%
다 34
 
4.9%
로 33
 
4.8%
단 30
 
4.4%
면 30
 
4.4%
군 23
 
3.3%
구 22
 
3.2%
Other values (88) 319
46.4%

종별
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size648.0 B
2종
45 
1종
19 
3종
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row2종
2nd row1종
3rd row2종
4th row2종
5th row1종

Common Values

ValueCountFrequency (%)
2종 45
69.2%
1종 19
29.2%
3종 1
 
1.5%

Length

2024-03-14T21:12:17.330225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:12:17.644331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2종 45
69.2%
1종 19
29.2%
3종 1
 
1.5%

업종
Text

Distinct44
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Memory size648.0 B
2024-03-14T21:12:18.532596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length29
Mean length11.092308
Min length3

Characters and Unicode

Total characters721
Distinct characters120
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)56.9%

Sample

1st row혼성 및 재생 플라스틱 소재 물질 제조업(20203)
2nd row폐기물처리업
3rd row선철주물주조업
4th row비금속광물제조
5th row유리섬유제조업
ValueCountFrequency (%)
선철주물주조업 13
 
11.6%
및 9
 
8.0%
기타 4
 
3.6%
폐기물처리업 4
 
3.6%
유리섬유제조업 3
 
2.7%
그외 3
 
2.7%
아스콘제조업 3
 
2.7%
비금속제품제조가공업 2
 
1.8%
자동차부품제조업 2
 
1.8%
폐기물중간처리업 2
 
1.8%
Other values (65) 67
59.8%
2024-03-14T21:12:19.594882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 58
 
8.0%
조 55
 
7.6%
제 52
 
7.2%
47
 
6.5%
주 34
 
4.7%
물 32
 
4.4%
금 19
 
2.6%
기 18
 
2.5%
속 17
 
2.4%
철 16
 
2.2%
Other values (110) 373
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
82.7%
Space Separator 47
 
6.5%
Decimal Number 47
 
6.5%
Other Punctuation 11
 
1.5%
Open Punctuation 10
 
1.4%
Close Punctuation 10
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 58
 
9.7%
조 55
 
9.2%
제 52
 
8.7%
주 34
 
5.7%
물 32
 
5.4%
금 19
 
3.2%
기 18
 
3.0%
속 17
 
2.9%
철 16
 
2.7%
품 14
 
2.3%
Other values (97) 281
47.1%
Decimal Number
ValueCountFrequency (%)
2 14
29.8%
3 12
25.5%
1 11
23.4%
4 3
 
6.4%
0 2
 
4.3%
9 2
 
4.3%
5 2
 
4.3%
8 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
· 1
 
9.1%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
82.7%
Common 125
 
17.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 58
 
9.7%
조 55
 
9.2%
제 52
 
8.7%
주 34
 
5.7%
물 32
 
5.4%
금 19
 
3.2%
기 18
 
3.0%
속 17
 
2.9%
철 16
 
2.7%
품 14
 
2.3%
Other values (97) 281
47.1%
Common
ValueCountFrequency (%)
47
37.6%
2 14
 
11.2%
3 12
 
9.6%
1 11
 
8.8%
, 10
 
8.0%
( 10
 
8.0%
) 10
 
8.0%
4 3
 
2.4%
0 2
 
1.6%
9 2
 
1.6%
Other values (3) 4
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
82.7%
ASCII 124
 
17.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 58
 
9.7%
조 55
 
9.2%
제 52
 
8.7%
주 34
 
5.7%
물 32
 
5.4%
금 19
 
3.2%
기 18
 
3.0%
속 17
 
2.9%
철 16
 
2.7%
품 14
 
2.3%
Other values (97) 281
47.1%
ASCII
ValueCountFrequency (%)
47
37.9%
2 14
 
11.3%
3 12
 
9.7%
1 11
 
8.9%
, 10
 
8.1%
( 10
 
8.1%
) 10
 
8.1%
4 3
 
2.4%
0 2
 
1.6%
9 2
 
1.6%
Other values (2) 3
 
2.4%
None
ValueCountFrequency (%)
· 1
100.0%

점검일자
Date

Distinct34
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size648.0 B
Minimum2023-02-07 00:00:00
Maximum2023-11-28 00:00:00
2024-03-14T21:12:19.819810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:12:20.052293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

위반내용
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size648.0 B
변경신고 미이행
17 
운영기록 전산보고 미이행
11 
방지시설에 딸린 기계기구류 고장 방치
9 
대기배출시설 멸실
9 
대기배출시설 폐업
9 
Other values (7)
10 

Length

Max length20
Median length14
Mean length11.184615
Min length8

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row방지시설에 딸린 기계기구류 고장 방치
2nd row운영기록 전산보고 미이행
3rd row방지시설에 딸린 기계기구류 고장 방치
4th row방지시설에 딸린 기계기구류 고장 방치
5th row환경기술인 교육 미수료

Common Values

ValueCountFrequency (%)
변경신고 미이행 17
26.2%
운영기록 전산보고 미이행 11
16.9%
방지시설에 딸린 기계기구류 고장 방치 9
13.8%
대기배출시설 멸실 9
13.8%
대기배출시설 폐업 9
13.8%
환경기술인 교육 미수료 2
 
3.1%
자가측정 미이행 2
 
3.1%
환경기술인 준수사항 위반 2
 
3.1%
운영일지 허위작성 1
 
1.5%
운영일지 미작성 1
 
1.5%
Other values (2) 2
 
3.1%

Length

2024-03-14T21:12:20.277873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미이행 30
17.3%
대기배출시설 18
10.4%
변경신고 17
9.8%
운영기록 11
 
6.4%
전산보고 11
 
6.4%
방지시설에 9
 
5.2%
딸린 9
 
5.2%
기계기구류 9
 
5.2%
고장 9
 
5.2%
방치 9
 
5.2%
Other values (15) 41
23.7%

위반법령
Categorical

Distinct23
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size648.0 B
대기환경보전법 제23조제2항
13 
대기환경보전법 제31조제1항제4호
8 
대기환경보전법 제23조 제2항
6 
대기환경보전법 제16조
5 
대기환경보전접 제23조 2항
4 
Other values (18)
29 

Length

Max length20
Median length19
Mean length15.692308
Min length12

Unique

Unique10 ?
Unique (%)15.4%

Sample

1st row대기환경보전법 제31조 제1항
2nd row대기환경보전접 제23조 2항
3rd row대기환경보전법 제31조제1항 제3호
4th row대기환경보전접 제23조 2항
5th row대기환경보전접 제23조 2항

Common Values

ValueCountFrequency (%)
대기환경보전법 제23조제2항 13
20.0%
대기환경보전법 제31조제1항제4호 8
12.3%
대기환경보전법 제23조 제2항 6
 
9.2%
대기환경보전법 제16조 5
 
7.7%
대기환경보전접 제23조 2항 4
 
6.2%
대기환경보전법 제23조 2항 3
 
4.6%
대기환경보전법 제77조 제1항 3
 
4.6%
대기환경보전법 제31조제1항제3호 3
 
4.6%
대기환경보전접 제23조 3항 2
 
3.1%
대기환경보전법 제39조제1항 2
 
3.1%
Other values (13) 16
24.6%

Length

2024-03-14T21:12:20.602002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대기환경보전법 59
36.6%
제23조 18
 
11.2%
제23조제2항 13
 
8.1%
제1항 9
 
5.6%
제31조제1항제4호 8
 
5.0%
제2항 7
 
4.3%
2항 7
 
4.3%
대기환경보전접 6
 
3.7%
제16조 5
 
3.1%
제40조 3
 
1.9%
Other values (16) 26
16.1%

처분일자
Date

Distinct24
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size648.0 B
Minimum2023-02-27 00:00:00
Maximum2023-12-27 00:00:00
2024-03-14T21:12:20.817322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:12:21.020041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

행정처분명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size648.0 B
경고(1차)
39 
폐쇄명령
18 
조업정지 5일(2차 위반)
 
2
과태료
 
2
경고(2차)
 
2
Other values (2)
 
2

Length

Max length15
Median length6
Mean length5.7692308
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row경고(1차)
2nd row경고(1차)
3rd row조업정지 5일(2차 위반)
4th row경고(1차)
5th row과태료

Common Values

ValueCountFrequency (%)
경고(1차) 39
60.0%
폐쇄명령 18
27.7%
조업정지 5일(2차 위반) 2
 
3.1%
과태료 2
 
3.1%
경고(2차) 2
 
3.1%
개선명령(1차) 1
 
1.5%
조업정지 10일(2차 위반) 1
 
1.5%

Length

2024-03-14T21:12:21.232551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:12:21.428721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경고(1차 39
54.9%
폐쇄명령 18
25.4%
조업정지 3
 
4.2%
위반 3
 
4.2%
5일(2차 2
 
2.8%
과태료 2
 
2.8%
경고(2차 2
 
2.8%
개선명령(1차 1
 
1.4%
10일(2차 1
 
1.4%

이행일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size648.0 B
즉시
61 
03-27~03-31
 
1
04-24~04-28
 
1
2023-08-11
 
1
09-21~09-30
 
1

Length

Max length11
Median length2
Mean length2.5384615
Min length2

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row즉시
2nd row즉시
3rd row03-27~03-31
4th row즉시
5th row즉시

Common Values

ValueCountFrequency (%)
즉시 61
93.8%
03-27~03-31 1
 
1.5%
04-24~04-28 1
 
1.5%
2023-08-11 1
 
1.5%
09-21~09-30 1
 
1.5%

Length

2024-03-14T21:12:21.680444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:12:21.923018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
즉시 61
93.8%
03-27~03-31 1
 
1.5%
04-24~04-28 1
 
1.5%
2023-08-11 1
 
1.5%
09-21~09-30 1
 
1.5%

Interactions

2024-03-14T21:12:07.161206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:12:22.072779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호허가번호업소명대표자소재지종별업종점검일자위반내용위반법령처분일자행정처분명이행일자
번호1.0000.9290.9290.2160.9290.1970.7860.8960.6220.8190.8960.6220.251
허가번호0.9291.0001.0000.0001.0001.0001.0000.9960.0000.9310.0000.0000.000
업소명0.9291.0001.0000.0001.0001.0001.0000.9960.0000.9310.0000.0000.000
대표자0.2160.0000.0001.0000.0000.0000.7330.0000.0000.0000.0000.0000.000
소재지0.9291.0001.0000.0001.0001.0001.0000.9960.0000.9310.0000.0000.000
종별0.1971.0001.0000.0001.0001.0000.9880.9340.8020.0000.9430.0000.000
업종0.7861.0001.0000.7331.0000.9881.0000.9740.0000.0000.8860.0000.000
점검일자0.8960.9960.9960.0000.9960.9340.9741.0000.7930.0000.9940.8830.954
위반내용0.6220.0000.0000.0000.0000.8020.0000.7931.0000.0000.9460.8760.652
위반법령0.8190.9310.9310.0000.9310.0000.0000.0000.0001.0000.5070.5230.125
처분일자0.8960.0000.0000.0000.0000.9430.8860.9940.9460.5071.0000.9430.935
행정처분명0.6220.0000.0000.0000.0000.0000.0000.8830.8760.5230.9431.0000.903
이행일자0.2510.0000.0000.0000.0000.0000.0000.9540.6520.1250.9350.9031.000
2024-03-14T21:12:22.310813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위반법령이행일자행정처분명대표자종별위반내용
위반법령1.0000.0000.2050.0000.0000.000
이행일자0.0001.0000.8370.0000.0000.404
행정처분명0.2050.8371.0000.0000.0000.654
대표자0.0000.0000.0001.0000.0000.000
종별0.0000.0000.0000.0001.0000.483
위반내용0.0000.4040.6540.0000.4831.000
2024-03-14T21:12:22.491395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대표자종별위반내용위반법령행정처분명이행일자
번호1.0000.1150.1020.3090.4120.3640.091
대표자0.1151.0000.0000.0000.0000.0000.000
종별0.1020.0001.0000.4830.0000.0000.000
위반내용0.3090.0000.4831.0000.0000.6540.404
위반법령0.4120.0000.0000.0001.0000.2050.000
행정처분명0.3640.0000.0000.6540.2051.0000.837
이행일자0.0910.0000.0000.4040.0000.8371.000

Missing values

2024-03-14T21:12:07.527936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:12:08.080156image/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

번호허가번호업소명대표자소재지종별업종점검일자위반내용위반법령처분일자행정처분명이행일자
01허가 05-060㈜엔피케이(1공장)대표이사구미시 옥계2공단로5길 7(구포동 623-14)[우.39417]2종혼성 및 재생 플라스틱 소재 물질 제조업(20203)2023-02-07방지시설에 딸린 기계기구류 고장 방치대기환경보전법 제31조 제1항2023-02-27경고(1차)즉시
12허가 09-005문경시 폐기물소각장대표이사문경시 배실안길 94(공평동 산71)[우. 36991]1종폐기물처리업2023-02-09운영기록 전산보고 미이행대기환경보전접 제23조 2항2023-02-27경고(1차)즉시
23신고 14-026㈜대욱케스트대표이사고령군 다산면 다산산단로 156[우. 40113]2종선철주물주조업2023-02-16방지시설에 딸린 기계기구류 고장 방치대기환경보전법 제31조제1항 제3호2023-03-07조업정지 5일(2차 위반)03-27~03-31
34신고 01-047동해화학공업㈜대표이사포항시 북구 청하면 동해대로 2694-71(월포리 492)[우. 37517]2종비금속광물제조2023-02-27방지시설에 딸린 기계기구류 고장 방치대기환경보전접 제23조 2항2023-03-16경고(1차)즉시
45허가 03-012한국오웬스코닝㈜대표이사김천시 공단3길 156[우. 39537]1종유리섬유제조업2023-03-02환경기술인 교육 미수료대기환경보전접 제23조 2항2023-03-03과태료즉시
56신고 05-106인당㈜대표이사구미시 산호대로 50[우. 39382]2종그외 기타 자동차부품제조업2023-03-10방지시설에 딸린 기계기구류 고장 방치대기환경보전법 제40조 제1항2023-03-28경고(1차)즉시
67허가 03-012한국오웬스코닝㈜대표이사김천시 공단3길 156[우. 39537]1종유리섬유제조업2023-03-02변경신고 미이행대기환경보전접 제23조 3항2023-04-04경고(1차)즉시
78허가 08-003㈜올품대표이사상주시 발산로 135[우. 37154]2종도축, 육류가공2023-03-20환경기술인 교육 미수료대기환경보전접 제23조 3항2023-03-21과태료즉시
89신고 14-024㈜동신금속대표이사고령군 다산면 다산산단로 260[우. 40113]2종선철주물주조업2023-03-21방지시설에 딸린 기계기구류 고장 방치대기환경보전접 제23조 2항2023-04-11조업정지 5일(2차 위반)04-24~04-28
910허가 01-118㈜에코프로이엠대표이사포항시 북구 흥해읍 영일만산단로 110[우. 37948]2종축전지제조업2023-03-24자가측정 미이행대기환경보전법 제40조 제1항2023-04-11경고(1차)즉시
번호허가번호업소명대표자소재지종별업종점검일자위반내용위반법령처분일자행정처분명이행일자
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