Overview

Dataset statistics

Number of variables22
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory179.3 B

Variable types

Numeric1
Text10
Categorical11

Alerts

처리부서 has constant value ""Constant
공개연도 has constant value ""Constant
위반장소 is highly imbalanced (68.8%)Imbalance
정보출처 is highly imbalanced (91.9%)Imbalance
행정처분번호 is highly imbalanced (91.9%)Imbalance
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:19:53.542913
Analysis finished2023-12-10 13:19:54.781168
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:19:54.909929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T22:19:55.181949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:55.522335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length5.43
Min length1

Characters and Unicode

Total characters543
Distinct characters198
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

Unique97 ?
Unique (%)97.0%

Sample

1st row풀무원다논
2nd row우신기업
3rd row개인
4th row보림산업
5th row-
ValueCountFrequency (%)
3
 
3.0%
대림24시셀프세차타운 1
 
1.0%
모든자동차정비공장 1
 
1.0%
신한대학교 1
 
1.0%
일광금속환경 1
 
1.0%
신한정공 1
 
1.0%
혜천빌딩관리단 1
 
1.0%
영광푸드 1
 
1.0%
아성기업 1
 
1.0%
리더스이엔지 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:19:56.239731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
1.8%
10
 
1.8%
10
 
1.8%
10
 
1.8%
10
 
1.8%
9
 
1.7%
9
 
1.7%
9
 
1.7%
8
 
1.5%
8
 
1.5%
Other values (188) 450
82.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 536
98.7%
Decimal Number 4
 
0.7%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
9
 
1.7%
9
 
1.7%
9
 
1.7%
8
 
1.5%
8
 
1.5%
Other values (184) 443
82.6%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
3 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 536
98.7%
Common 7
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
9
 
1.7%
9
 
1.7%
9
 
1.7%
8
 
1.5%
8
 
1.5%
Other values (184) 443
82.6%
Common
ValueCountFrequency (%)
- 3
42.9%
2 2
28.6%
4 1
 
14.3%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 536
98.7%
ASCII 7
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
10
 
1.9%
9
 
1.7%
9
 
1.7%
9
 
1.7%
8
 
1.5%
8
 
1.5%
Other values (184) 443
82.6%
ASCII
ValueCountFrequency (%)
- 3
42.9%
2 2
28.6%
4 1
 
14.3%
3 1
 
14.3%

사업장명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:56.654315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length15
Mean length7.95
Min length1

Characters and Unicode

Total characters795
Distinct characters214
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row풀무원다논주식회사
2nd row우신기업
3rd row-
4th row(주)보림산업
5th row개인
ValueCountFrequency (%)
주식회사 4
 
3.4%
풀무원다논주식회사 1
 
0.8%
우신기업 1
 
0.8%
일광금속환경(주 1
 
0.8%
신한정공(주 1
 
0.8%
관리단 1
 
0.8%
혜천빌딩 1
 
0.8%
주)영광푸드 1
 
0.8%
주)아성기업 1
 
0.8%
주)리더스이엔지 1
 
0.8%
Other values (105) 105
89.0%
2023-12-10T22:19:57.344505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
7.5%
( 52
 
6.5%
) 52
 
6.5%
18
 
2.3%
13
 
1.6%
12
 
1.5%
12
 
1.5%
10
 
1.3%
10
 
1.3%
10
 
1.3%
Other values (204) 546
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
83.1%
Open Punctuation 52
 
6.5%
Close Punctuation 52
 
6.5%
Space Separator 18
 
2.3%
Uppercase Letter 6
 
0.8%
Decimal Number 5
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
 
9.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
Other values (192) 504
76.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
33.3%
T 1
16.7%
F 1
16.7%
K 1
16.7%
S 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
3 1
 
20.0%
4 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
83.1%
Common 128
 
16.1%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
9.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
Other values (192) 504
76.2%
Common
ValueCountFrequency (%)
( 52
40.6%
) 52
40.6%
18
 
14.1%
2 3
 
2.3%
3 1
 
0.8%
4 1
 
0.8%
- 1
 
0.8%
Latin
ValueCountFrequency (%)
I 2
33.3%
T 1
16.7%
F 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
83.1%
ASCII 134
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
60
 
9.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
10
 
1.5%
Other values (192) 504
76.2%
ASCII
ValueCountFrequency (%)
( 52
38.8%
) 52
38.8%
18
 
13.4%
2 3
 
2.2%
I 2
 
1.5%
3 1
 
0.7%
4 1
 
0.7%
- 1
 
0.7%
T 1
 
0.7%
F 1
 
0.7%
Other values (2) 2
 
1.5%
Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:57.670169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length17.92
Min length1

Characters and Unicode

Total characters1792
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

Unique94 ?
Unique (%)94.0%

Sample

1st row4740000-22200800003
2nd row4760000-21200100012
3rd row-
4th row5480000-21200900001
5th row-
ValueCountFrequency (%)
6
 
6.0%
3100000-21199800002 1
 
1.0%
3660000-22201000006 1
 
1.0%
3920000-22201300002 1
 
1.0%
3430000-21201100006 1
 
1.0%
3470000-22201300049 1
 
1.0%
3220000-21201500009 1
 
1.0%
3260000-22201600003 1
 
1.0%
3300000-35200600008 1
 
1.0%
3540000-21201800006 1
 
1.0%
Other values (85) 85
85.0%
2023-12-10T22:19:58.175717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 856
47.8%
2 255
 
14.2%
1 158
 
8.8%
3 113
 
6.3%
- 100
 
5.6%
4 69
 
3.9%
5 62
 
3.5%
6 53
 
3.0%
9 51
 
2.8%
7 38
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1692
94.4%
Dash Punctuation 100
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 856
50.6%
2 255
 
15.1%
1 158
 
9.3%
3 113
 
6.7%
4 69
 
4.1%
5 62
 
3.7%
6 53
 
3.1%
9 51
 
3.0%
7 38
 
2.2%
8 37
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 856
47.8%
2 255
 
14.2%
1 158
 
8.8%
3 113
 
6.3%
- 100
 
5.6%
4 69
 
3.9%
5 62
 
3.5%
6 53
 
3.0%
9 51
 
2.8%
7 38
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 856
47.8%
2 255
 
14.2%
1 158
 
8.8%
3 113
 
6.3%
- 100
 
5.6%
4 69
 
3.9%
5 62
 
3.5%
6 53
 
3.0%
9 51
 
2.8%
7 38
 
2.1%
Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:58.637858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.76
Min length1

Characters and Unicode

Total characters376
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)78.0%

Sample

1st row대표이사
2nd row허영준
3rd row병원장
4th row대표이사
5th row권영팔
ValueCountFrequency (%)
대표이사 22
 
21.0%
2
 
1.9%
김석영 1
 
1.0%
김미순 1
 
1.0%
서갑원 1
 
1.0%
이경섭 1
 
1.0%
김재천 1
 
1.0%
홍기수 1
 
1.0%
본부장 1
 
1.0%
이범문 1
 
1.0%
Other values (73) 73
69.5%
2023-12-10T22:19:59.195341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
8.2%
23
 
6.1%
23
 
6.1%
22
 
5.9%
11
 
2.9%
10
 
2.7%
9
 
2.4%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (124) 228
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 347
92.3%
Decimal Number 11
 
2.9%
Space Separator 5
 
1.3%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
8.9%
23
 
6.6%
23
 
6.6%
22
 
6.3%
11
 
3.2%
10
 
2.9%
9
 
2.6%
7
 
2.0%
6
 
1.7%
6
 
1.7%
Other values (115) 199
57.3%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
8 2
 
18.2%
0 2
 
18.2%
4 1
 
9.1%
9 1
 
9.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
92.3%
Common 29
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
8.9%
23
 
6.6%
23
 
6.6%
22
 
6.3%
11
 
3.2%
10
 
2.9%
9
 
2.6%
7
 
2.0%
6
 
1.7%
6
 
1.7%
Other values (115) 199
57.3%
Common
ValueCountFrequency (%)
5
17.2%
1 5
17.2%
) 5
17.2%
( 5
17.2%
- 3
10.3%
8 2
 
6.9%
0 2
 
6.9%
4 1
 
3.4%
9 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
92.3%
ASCII 29
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
8.9%
23
 
6.6%
23
 
6.6%
22
 
6.3%
11
 
3.2%
10
 
2.9%
9
 
2.6%
7
 
2.0%
6
 
1.7%
6
 
1.7%
Other values (115) 199
57.3%
ASCII
ValueCountFrequency (%)
5
17.2%
1 5
17.2%
) 5
17.2%
( 5
17.2%
- 3
10.3%
8 2
 
6.9%
0 2
 
6.9%
4 1
 
3.4%
9 1
 
3.4%
Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:19:59.663514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length22.04
Min length1

Characters and Unicode

Total characters2204
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)86.0%

Sample

1st row전라북도 무주군 무주읍 당산강변로 32
2nd row전라북도 임실군 임실읍 임삼로 1121-3
3rd row-
4th row경상남도 합천군 용주면 연촌우곡길 165-24
5th row-
ValueCountFrequency (%)
서울특별시 18
 
3.8%
경기도 17
 
3.6%
14
 
2.9%
강원도 8
 
1.7%
충청남도 7
 
1.5%
대구광역시 6
 
1.3%
경상남도 5
 
1.1%
인천광역시 4
 
0.8%
서구 4
 
0.8%
전라남도 4
 
0.8%
Other values (363) 389
81.7%
2023-12-10T22:20:00.453713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
 
17.1%
71
 
3.2%
68
 
3.1%
68
 
3.1%
2 61
 
2.8%
) 56
 
2.5%
56
 
2.5%
( 56
 
2.5%
1 54
 
2.5%
54
 
2.5%
Other values (227) 1284
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1339
60.8%
Space Separator 376
 
17.1%
Decimal Number 319
 
14.5%
Close Punctuation 56
 
2.5%
Open Punctuation 56
 
2.5%
Dash Punctuation 30
 
1.4%
Other Punctuation 20
 
0.9%
Uppercase Letter 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
5.3%
68
 
5.1%
68
 
5.1%
56
 
4.2%
54
 
4.0%
38
 
2.8%
32
 
2.4%
29
 
2.2%
29
 
2.2%
29
 
2.2%
Other values (206) 865
64.6%
Decimal Number
ValueCountFrequency (%)
2 61
19.1%
1 54
16.9%
3 41
12.9%
4 32
10.0%
0 31
9.7%
5 25
7.8%
7 24
 
7.5%
6 22
 
6.9%
9 17
 
5.3%
8 12
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
I 2
25.0%
T 1
12.5%
F 1
12.5%
K 1
12.5%
S 1
12.5%
Space Separator
ValueCountFrequency (%)
376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1339
60.8%
Common 857
38.9%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
5.3%
68
 
5.1%
68
 
5.1%
56
 
4.2%
54
 
4.0%
38
 
2.8%
32
 
2.4%
29
 
2.2%
29
 
2.2%
29
 
2.2%
Other values (206) 865
64.6%
Common
ValueCountFrequency (%)
376
43.9%
2 61
 
7.1%
) 56
 
6.5%
( 56
 
6.5%
1 54
 
6.3%
3 41
 
4.8%
4 32
 
3.7%
0 31
 
3.6%
- 30
 
3.5%
5 25
 
2.9%
Other values (5) 95
 
11.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
I 2
25.0%
T 1
12.5%
F 1
12.5%
K 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1339
60.8%
ASCII 865
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
43.5%
2 61
 
7.1%
) 56
 
6.5%
( 56
 
6.5%
1 54
 
6.2%
3 41
 
4.7%
4 32
 
3.7%
0 31
 
3.6%
- 30
 
3.5%
5 25
 
2.9%
Other values (11) 103
 
11.9%
Hangul
ValueCountFrequency (%)
71
 
5.3%
68
 
5.1%
68
 
5.1%
56
 
4.2%
54
 
4.0%
38
 
2.8%
32
 
2.4%
29
 
2.2%
29
 
2.2%
29
 
2.2%
Other values (206) 865
64.6%
Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:01.154693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length23.13
Min length1

Characters and Unicode

Total characters2313
Distinct characters206
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)91.0%

Sample

1st row전라북도 무주군 무주읍 당산리 1723번지
2nd row전라북도 임실군 임실읍 이인리 392-9번지
3rd row-
4th row경상남도 합천군 용주면 방곡리 826-13번지 ,826-14,560-1
5th row-
ValueCountFrequency (%)
경기도 19
 
4.2%
서울특별시 17
 
3.8%
9
 
2.0%
강원도 9
 
2.0%
충청남도 7
 
1.5%
대구광역시 6
 
1.3%
경상남도 6
 
1.3%
5
 
1.1%
전라남도 4
 
0.9%
부산광역시 4
 
0.9%
Other values (342) 367
81.0%
2023-12-10T22:20:01.947122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
 
19.6%
105
 
4.5%
94
 
4.1%
- 85
 
3.7%
1 84
 
3.6%
70
 
3.0%
66
 
2.9%
57
 
2.5%
2 57
 
2.5%
54
 
2.3%
Other values (196) 1188
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1339
57.9%
Space Separator 453
 
19.6%
Decimal Number 416
 
18.0%
Dash Punctuation 85
 
3.7%
Other Punctuation 11
 
0.5%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
7.8%
94
 
7.0%
70
 
5.2%
66
 
4.9%
57
 
4.3%
54
 
4.0%
36
 
2.7%
28
 
2.1%
27
 
2.0%
27
 
2.0%
Other values (178) 775
57.9%
Decimal Number
ValueCountFrequency (%)
1 84
20.2%
2 57
13.7%
4 50
12.0%
3 43
10.3%
5 38
9.1%
7 34
8.2%
6 32
 
7.7%
8 29
 
7.0%
9 26
 
6.2%
0 23
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1339
57.9%
Common 971
42.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
7.8%
94
 
7.0%
70
 
5.2%
66
 
4.9%
57
 
4.3%
54
 
4.0%
36
 
2.7%
28
 
2.1%
27
 
2.0%
27
 
2.0%
Other values (178) 775
57.9%
Common
ValueCountFrequency (%)
453
46.7%
- 85
 
8.8%
1 84
 
8.7%
2 57
 
5.9%
4 50
 
5.1%
3 43
 
4.4%
5 38
 
3.9%
7 34
 
3.5%
6 32
 
3.3%
8 29
 
3.0%
Other values (5) 66
 
6.8%
Latin
ValueCountFrequency (%)
A 1
33.3%
K 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1339
57.9%
ASCII 974
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
46.5%
- 85
 
8.7%
1 84
 
8.6%
2 57
 
5.9%
4 50
 
5.1%
3 43
 
4.4%
5 38
 
3.9%
7 34
 
3.5%
6 32
 
3.3%
8 29
 
3.0%
Other values (8) 69
 
7.1%
Hangul
ValueCountFrequency (%)
105
 
7.8%
94
 
7.0%
70
 
5.2%
66
 
4.9%
57
 
4.3%
54
 
4.0%
36
 
2.7%
28
 
2.1%
27
 
2.0%
27
 
2.0%
Other values (178) 775
57.9%

점검분야
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
수질
48 
대기
42 
폐기물
기타
 
2
소음진동
 
1

Length

Max length4
Median length2
Mean length2.09
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row수질
2nd row대기
3rd row수질
4th row대기
5th row폐기물

Common Values

ValueCountFrequency (%)
수질 48
48.0%
대기 42
42.0%
폐기물 7
 
7.0%
기타 2
 
2.0%
소음진동 1
 
1.0%

Length

2023-12-10T22:20:02.192848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:02.412040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수질 48
48.0%
대기 42
42.0%
폐기물 7
 
7.0%
기타 2
 
2.0%
소음진동 1
 
1.0%

처분사항
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경고
38 
개선명령
35 
과태료(100만원이하)
사용중지명령
사용중지
 
3
Other values (14)
15 

Length

Max length26
Median length15
Mean length4.47
Min length2

Unique

Unique13 ?
Unique (%)13.0%

Sample

1st row사용중지
2nd row사용중지명령
3rd row개선명령
4th row개선명령
5th row과태료(100만원이하)

Common Values

ValueCountFrequency (%)
경고 38
38.0%
개선명령 35
35.0%
과태료(100만원이하) 5
 
5.0%
사용중지명령 4
 
4.0%
사용중지 3
 
3.0%
폐쇄명령 2
 
2.0%
영업정지1월 1
 
1.0%
경고 및 과태료 1
 
1.0%
경고 및 과태료2,000천원 1
 
1.0%
과태료(300만원이하) 1
 
1.0%
Other values (9) 9
 
9.0%

Length

2023-12-10T22:20:02.619251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경고 40
38.5%
개선명령 35
33.7%
과태료(100만원이하 5
 
4.8%
사용중지명령 4
 
3.8%
사용중지 3
 
2.9%
폐쇄명령 2
 
1.9%
2
 
1.9%
조업정지10일 1
 
1.0%
경고,과태료60만원 1
 
1.0%
고발 1
 
1.0%
Other values (10) 10
 
9.6%
Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:02.976115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.92
Min length1

Characters and Unicode

Total characters892
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

Unique42 ?
Unique (%)42.0%

Sample

1st row2019-07-31
2nd row2019-05-08
3rd row2019-08-28
4th row2019-07-03
5th row-
ValueCountFrequency (%)
12
 
12.0%
2019-01-22 5
 
5.0%
2019-01-02 5
 
5.0%
2019-01-21 4
 
4.0%
2019-01-30 3
 
3.0%
2019-01-29 3
 
3.0%
2019-01-03 3
 
3.0%
2019-01-07 3
 
3.0%
2019-04-18 2
 
2.0%
2019-02-11 2
 
2.0%
Other values (50) 58
58.0%
2023-12-10T22:20:03.599447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 214
24.0%
- 188
21.1%
1 162
18.2%
2 147
16.5%
9 92
10.3%
3 22
 
2.5%
5 19
 
2.1%
8 16
 
1.8%
4 15
 
1.7%
7 10
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
78.9%
Dash Punctuation 188
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
30.4%
1 162
23.0%
2 147
20.9%
9 92
13.1%
3 22
 
3.1%
5 19
 
2.7%
8 16
 
2.3%
4 15
 
2.1%
7 10
 
1.4%
6 7
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 892
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 214
24.0%
- 188
21.1%
1 162
18.2%
2 147
16.5%
9 92
10.3%
3 22
 
2.5%
5 19
 
2.1%
8 16
 
1.8%
4 15
 
1.7%
7 10
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 892
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 214
24.0%
- 188
21.1%
1 162
18.2%
2 147
16.5%
9 92
10.3%
3 22
 
2.5%
5 19
 
2.1%
8 16
 
1.8%
4 15
 
1.7%
7 10
 
1.1%

처분기간
Categorical

Distinct47
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
54 
2019-02-01 ~2019-09-30
 
1
2019-09-03 ~2019-09-23
 
1
2019-01-25 ~2019-02-28
 
1
2019-01-08 ~2019-01-23
 
1
Other values (42)
42 

Length

Max length23
Median length1
Mean length10.91
Min length1

Unique

Unique46 ?
Unique (%)46.0%

Sample

1st row-
2nd row2019-05-08 ~2019-08-09
3rd row-
4th row-
5th row2019-09-03 ~2019-09-23

Common Values

ValueCountFrequency (%)
- 54
54.0%
2019-02-01 ~2019-09-30 1
 
1.0%
2019-09-03 ~2019-09-23 1
 
1.0%
2019-01-25 ~2019-02-28 1
 
1.0%
2019-01-08 ~2019-01-23 1
 
1.0%
2019-01-03 ~2019-01-11 1
 
1.0%
2019-01-08 ~2019-01-08 1
 
1.0%
2019-02-20 ~2019-09-08 1
 
1.0%
2019-02-12 ~2019-02-21 1
 
1.0%
2019-01-09 ~2019-02-08 1
 
1.0%
Other values (37) 37
37.0%

Length

2023-12-10T22:20:03.890387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
56
38.4%
2019-01-08 5
 
3.4%
2019-02-28 4
 
2.7%
2019-06-28 3
 
2.1%
2019-06-21 3
 
2.1%
2019-01-14 2
 
1.4%
2019-01-28 2
 
1.4%
2019-03-28 2
 
1.4%
2019-02-01 2
 
1.4%
2019-04-18 2
 
1.4%
Other values (55) 65
44.5%
Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:04.422758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.91
Min length1

Characters and Unicode

Total characters991
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

Unique56 ?
Unique (%)56.0%

Sample

1st row2019-07-18
2nd row2019-05-07
3rd row2019-08-30
4th row2019-06-29
5th row2019-08-23
ValueCountFrequency (%)
2019-02-11 5
 
5.0%
2019-01-09 4
 
4.0%
2019-01-29 3
 
3.0%
2018-12-27 2
 
2.0%
2019-04-30 2
 
2.0%
2019-01-10 2
 
2.0%
2019-05-29 2
 
2.0%
2019-01-02 2
 
2.0%
2019-04-02 2
 
2.0%
2019-02-15 2
 
2.0%
Other values (65) 74
74.0%
2023-12-10T22:20:05.138182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 224
22.6%
- 199
20.1%
1 185
18.7%
2 174
17.6%
9 96
9.7%
8 31
 
3.1%
4 22
 
2.2%
3 20
 
2.0%
5 16
 
1.6%
6 12
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 792
79.9%
Dash Punctuation 199
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 224
28.3%
1 185
23.4%
2 174
22.0%
9 96
12.1%
8 31
 
3.9%
4 22
 
2.8%
3 20
 
2.5%
5 16
 
2.0%
6 12
 
1.5%
7 12
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 224
22.6%
- 199
20.1%
1 185
18.7%
2 174
17.6%
9 96
9.7%
8 31
 
3.1%
4 22
 
2.2%
3 20
 
2.0%
5 16
 
1.6%
6 12
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 224
22.6%
- 199
20.1%
1 185
18.7%
2 174
17.6%
9 96
9.7%
8 31
 
3.1%
4 22
 
2.2%
3 20
 
2.0%
5 16
 
1.6%
6 12
 
1.2%
Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:05.579250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length179
Median length96
Mean length74.08
Min length1

Characters and Unicode

Total characters7408
Distinct characters227
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)43.0%

Sample

1st row 법 제33조제1항 내지 제3항에 따른 폐수배출시설 설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 폐수배출시설을 설치하거나 사용한 경우-폐수배출시설을 개선하거나 방지시설을 설치ㆍ개선하더라도 그 폐수배출시설에서 배출되는 수질오염물질의 정도가 배출허용기준 이하로 내려갈 가능성이 없다고 인정되는 경우
2nd row 법 제23조에 따라 배출시설설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 배출시설을 설치한 경우-해당지역이 배출시설의 설치가 가능한 지역인 경우
3rd row 아연 34.522mg/L(기준 5이하)
4th row 법 제30조에 따른 가동개시신고를 하고 가동 중인 배출시설에서 배출되는 대기오염물질의 정도가 배출시설 또는 방지시설의 결함·고장 또는 운전미숙 등으로 인하여 법 제16조에 따른 배출허용기준을 초과한 경우-특별대책지역외에 있는 사업장인 경우
5th row 생활쓰레기 불법배출(종량제봉투 미사용)
ValueCountFrequency (%)
따른 92
 
6.0%
91
 
6.0%
경우 69
 
4.5%
또는 53
 
3.5%
아니한 33
 
2.2%
방지시설의 32
 
2.1%
폐수배출시설 28
 
1.8%
초과한 25
 
1.6%
배출허용기준을 25
 
1.6%
신고를 24
 
1.6%
Other values (316) 1051
69.0%
2023-12-10T22:20:06.385268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1617
 
21.8%
210
 
2.8%
167
 
2.3%
156
 
2.1%
155
 
2.1%
153
 
2.1%
145
 
2.0%
143
 
1.9%
142
 
1.9%
141
 
1.9%
Other values (217) 4379
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5302
71.6%
Space Separator 1617
 
21.8%
Decimal Number 348
 
4.7%
Dash Punctuation 41
 
0.6%
Other Punctuation 33
 
0.4%
Close Punctuation 25
 
0.3%
Open Punctuation 24
 
0.3%
Uppercase Letter 10
 
0.1%
Lowercase Letter 5
 
0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
210
 
4.0%
167
 
3.1%
156
 
2.9%
155
 
2.9%
153
 
2.9%
145
 
2.7%
143
 
2.7%
142
 
2.7%
141
 
2.7%
135
 
2.5%
Other values (186) 3755
70.8%
Decimal Number
ValueCountFrequency (%)
3 128
36.8%
2 73
21.0%
1 52
14.9%
7 23
 
6.6%
5 23
 
6.6%
4 14
 
4.0%
0 12
 
3.4%
6 11
 
3.2%
8 8
 
2.3%
9 4
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
S 2
20.0%
A 2
20.0%
L 1
 
10.0%
O 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
· 16
48.5%
. 7
21.2%
/ 4
 
12.1%
, 4
 
12.1%
: 2
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
3
60.0%
g 1
 
20.0%
m 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 24
96.0%
1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 23
95.8%
1
 
4.2%
Space Separator
ValueCountFrequency (%)
1617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5302
71.6%
Common 2094
 
28.3%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
210
 
4.0%
167
 
3.1%
156
 
2.9%
155
 
2.9%
153
 
2.9%
145
 
2.7%
143
 
2.7%
142
 
2.7%
141
 
2.7%
135
 
2.5%
Other values (186) 3755
70.8%
Common
ValueCountFrequency (%)
1617
77.2%
3 128
 
6.1%
2 73
 
3.5%
1 52
 
2.5%
- 41
 
2.0%
) 24
 
1.1%
( 23
 
1.1%
7 23
 
1.1%
5 23
 
1.1%
· 16
 
0.8%
Other values (13) 74
 
3.5%
Latin
ValueCountFrequency (%)
B 3
25.0%
S 2
16.7%
A 2
16.7%
g 1
 
8.3%
m 1
 
8.3%
L 1
 
8.3%
O 1
 
8.3%
D 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5278
71.2%
ASCII 2082
 
28.1%
Compat Jamo 24
 
0.3%
None 18
 
0.2%
Letterlike Symbols 3
 
< 0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1617
77.7%
3 128
 
6.1%
2 73
 
3.5%
1 52
 
2.5%
- 41
 
2.0%
) 24
 
1.2%
( 23
 
1.1%
7 23
 
1.1%
5 23
 
1.1%
4 14
 
0.7%
Other values (16) 64
 
3.1%
Hangul
ValueCountFrequency (%)
210
 
4.0%
167
 
3.2%
156
 
3.0%
155
 
2.9%
153
 
2.9%
145
 
2.7%
143
 
2.7%
142
 
2.7%
141
 
2.7%
135
 
2.6%
Other values (185) 3731
70.7%
Compat Jamo
ValueCountFrequency (%)
24
100.0%
None
ValueCountFrequency (%)
· 16
88.9%
1
 
5.6%
1
 
5.6%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
CJK Compat
ValueCountFrequency (%)
3
100.0%

법적근거
Categorical

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
물환경보전법 제32조(배출허용기준)
16 
-
물환경보전법 제33조(배출시설의 설치허가 및 신고)제2항 또는 3항
대기환경보전법 제43조(비산먼지의 규제)의 1항
대기환경보전법 제39조(자가측정) 의 1항
 
5
Other values (39)
59 

Length

Max length79
Median length42
Mean length26.27
Min length1

Unique

Unique29 ?
Unique (%)29.0%

Sample

1st row물환경보전법 제33조(배출시설의 설치허가 및 신고)제1항 내지 3항
2nd row대기환경보전법 제23조(배출시설의 설치 허가 및 신고)
3rd row물환경보전법 제32조제1항 배출허용기준 초과
4th row대기환경보전법 제30조((배출시설 등의 가동개시 신고)제16조 (배출허용기준)
5th row폐기물관리법 제15조(생활폐기물배출자의 처리 협조 등)/제68조(과태료)제3항제3호 질서위반행위규제법 제18조에 따른 자진납부 감경(20%)

Common Values

ValueCountFrequency (%)
물환경보전법 제32조(배출허용기준) 16
16.0%
- 8
 
8.0%
물환경보전법 제33조(배출시설의 설치허가 및 신고)제2항 또는 3항 6
 
6.0%
대기환경보전법 제43조(비산먼지의 규제)의 1항 6
 
6.0%
대기환경보전법 제39조(자가측정) 의 1항 5
 
5.0%
대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 5
 
5.0%
대기환경보전법 제31조(배출시설과 방지시설의 운영) 의 2항 5
 
5.0%
대기환경보전법 제31조(배출시설과 방지시설의 운영) 의 1항 4
 
4.0%
물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항 3
 
3.0%
물환경보전법 제67조 (환경기술인 등의 교육) 3
 
3.0%
Other values (34) 39
39.0%

Length

2023-12-10T22:20:06.746147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물환경보전법 39
 
9.0%
대기환경보전법 38
 
8.8%
22
 
5.1%
제32조(배출허용기준 16
 
3.7%
16
 
3.7%
1항 15
 
3.5%
운영 12
 
2.8%
방지시설의 12
 
2.8%
3항 10
 
2.3%
설치허가 10
 
2.3%
Other values (115) 242
56.0%

위반사유
Categorical

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
66 
배출허용기준 초과
 
2
배출허용기준초과
 
2
공사기간 연장
 
1
폐기물처리업 변경신고 미이행(대표자의 변경 미신고)
 
1
Other values (28)
28 

Length

Max length53
Median length1
Mean length7.74
Min length1

Unique

Unique30 ?
Unique (%)30.0%

Sample

1st row-
2nd row 대기배출시설 신고 미이행
3rd row-
4th row 대기오염물질 초과배출 (질소산화물210.8ppm)
5th row 생활쓰레기 불법배출(종량제봉투 미사용)

Common Values

ValueCountFrequency (%)
- 66
66.0%
배출허용기준 초과 2
 
2.0%
배출허용기준초과 2
 
2.0%
공사기간 연장 1
 
1.0%
폐기물처리업 변경신고 미이행(대표자의 변경 미신고) 1
 
1.0%
배출시설에서 마모나 부식으로인하여 오염물질이 내어나감 1
 
1.0%
운전미숙 1
 
1.0%
대기오염물질 초과배출 (질소산화물210.8ppm) 1
 
1.0%
배출허용기준 (ABS) 초과 1
 
1.0%
개선명령을 기간 이내에 이행은 하였으나 검사 결과가 제32조에 따른 배출허용기준 초과 1
 
1.0%
Other values (23) 23
 
23.0%

Length

2023-12-10T22:20:07.138237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
68
37.0%
배출허용기준 6
 
3.3%
초과 4
 
2.2%
따른 3
 
1.6%
배출허용기준초과 3
 
1.6%
변경신고 3
 
1.6%
미이행 3
 
1.6%
미신고 3
 
1.6%
부적정 2
 
1.1%
초과[cod 2
 
1.1%
Other values (84) 87
47.3%

위반장소
Categorical

IMBALANCE 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
84 
임실군 임실읍 임삼로 1121-3
 
1
후포면 삼율리 280-4(삼영아파트 앞)
 
1
창원시 의창구 반계동 산 44-18번지
 
1
사업장(수영구 감포로8번길 3)
 
1
Other values (12)
12 

Length

Max length28
Median length1
Mean length3.39
Min length1

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st row-
2nd row 임실군 임실읍 임삼로 1121-3
3rd row-
4th row-
5th row 후포면 삼율리 280-4(삼영아파트 앞)

Common Values

ValueCountFrequency (%)
- 84
84.0%
임실군 임실읍 임삼로 1121-3 1
 
1.0%
후포면 삼율리 280-4(삼영아파트 앞) 1
 
1.0%
창원시 의창구 반계동 산 44-18번지 1
 
1.0%
사업장(수영구 감포로8번길 3) 1
 
1.0%
영통구 신원로 60 (신동) 1
 
1.0%
Sk네트웍스(주) 새한주유소 1
 
1.0%
최종배출구 1
 
1.0%
홍천읍 상오안농공단지 688 수질오염방지시설 1
 
1.0%
화성정미소 사업장 내 1
 
1.0%
Other values (7) 7
 
7.0%

Length

2023-12-10T22:20:07.435865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
84
64.6%
사업장 2
 
1.5%
2
 
1.5%
최종배출구 1
 
0.8%
상오안농공단지 1
 
0.8%
688 1
 
0.8%
수질오염방지시설 1
 
0.8%
화성정미소 1
 
0.8%
천두식품 1
 
0.8%
부산광역시 1
 
0.8%
Other values (35) 35
26.9%

처리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 100
100.0%

Length

2023-12-10T22:20:07.986801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:08.258818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100
100.0%

공개연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2019
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 100
100.0%

Length

2023-12-10T22:20:08.525925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:08.701928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 100
100.0%

정보출처
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
새올
99 
지자체
 
1

Length

Max length3
Median length2
Mean length2.01
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
새올 99
99.0%
지자체 1
 
1.0%

Length

2023-12-10T22:20:09.023480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:09.257292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
새올 99
99.0%
지자체 1
 
1.0%

시·도
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서울특별시
19 
경기도
19 
강원도
10 
경상남도
충청남도
Other values (12)
37 

Length

Max length7
Median length5
Mean length4.12
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row전라북도
2nd row전라북도
3rd row서울특별시
4th row경상남도
5th row경상북도

Common Values

ValueCountFrequency (%)
서울특별시 19
19.0%
경기도 19
19.0%
강원도 10
10.0%
경상남도 8
8.0%
충청남도 7
 
7.0%
대구광역시 6
 
6.0%
전라남도 4
 
4.0%
인천광역시 4
 
4.0%
전라북도 4
 
4.0%
부산광역시 4
 
4.0%
Other values (7) 15
15.0%

Length

2023-12-10T22:20:09.482781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 19
19.0%
경기도 19
19.0%
강원도 10
10.0%
경상남도 8
8.0%
충청남도 7
 
7.0%
대구광역시 6
 
6.0%
부산광역시 4
 
4.0%
전라북도 4
 
4.0%
인천광역시 4
 
4.0%
전라남도 4
 
4.0%
Other values (7) 15
15.0%
Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:09.989982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9
Min length1

Characters and Unicode

Total characters290
Distinct characters87
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

Unique81 ?
Unique (%)81.0%

Sample

1st row무주군
2nd row임실군
3rd row성북구
4th row합천군
5th row울진군
ValueCountFrequency (%)
서구 4
 
4.0%
중구 3
 
3.0%
수원시 2
 
2.0%
성남시 2
 
2.0%
용인시 2
 
2.0%
도봉구 2
 
2.0%
수성구 2
 
2.0%
2
 
2.0%
옹진군 1
 
1.0%
증평군 1
 
1.0%
Other values (79) 79
79.0%
2023-12-10T22:20:10.823365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
13.1%
31
 
10.7%
29
 
10.0%
12
 
4.1%
10
 
3.4%
10
 
3.4%
8
 
2.8%
7
 
2.4%
7
 
2.4%
6
 
2.1%
Other values (77) 132
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
99.3%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
13.2%
31
 
10.8%
29
 
10.1%
12
 
4.2%
10
 
3.5%
10
 
3.5%
8
 
2.8%
7
 
2.4%
7
 
2.4%
6
 
2.1%
Other values (76) 130
45.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
99.3%
Common 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
13.2%
31
 
10.8%
29
 
10.1%
12
 
4.2%
10
 
3.5%
10
 
3.5%
8
 
2.8%
7
 
2.4%
7
 
2.4%
6
 
2.1%
Other values (76) 130
45.1%
Common
ValueCountFrequency (%)
- 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
99.3%
ASCII 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
38
 
13.2%
31
 
10.8%
29
 
10.1%
12
 
4.2%
10
 
3.5%
10
 
3.5%
8
 
2.8%
7
 
2.4%
7
 
2.4%
6
 
2.1%
Other values (76) 130
45.1%
ASCII
ValueCountFrequency (%)
- 2
100.0%

행정처분번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
행정처분번호: 2019 - 1
99 
-
 
1

Length

Max length16
Median length16
Mean length15.85
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row행정처분번호: 2019 - 1
2nd row행정처분번호: 2019 - 1
3rd row행정처분번호: 2019 - 1
4th row행정처분번호: 2019 - 1
5th row행정처분번호: 2019 - 1

Common Values

ValueCountFrequency (%)
행정처분번호: 2019 - 1 99
99.0%
- 1
 
1.0%

Length

2023-12-10T22:20:11.230529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:11.510844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100
25.2%
행정처분번호 99
24.9%
2019 99
24.9%
1 99
24.9%

Sample

연번법인명사업장명인허가번호대표자명도로명주소지번명주소점검분야처분사항처분확정일자처분기간위반일자위반사항법적근거위반사유위반장소처리부서공개연도정보출처시·도시·군·구행정처분번호
01풀무원다논풀무원다논주식회사4740000-22200800003대표이사전라북도 무주군 무주읍 당산강변로 32전라북도 무주군 무주읍 당산리 1723번지수질사용중지2019-07-31-2019-07-18법 제33조제1항 내지 제3항에 따른 폐수배출시설 설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 폐수배출시설을 설치하거나 사용한 경우-폐수배출시설을 개선하거나 방지시설을 설치ㆍ개선하더라도 그 폐수배출시설에서 배출되는 수질오염물질의 정도가 배출허용기준 이하로 내려갈 가능성이 없다고 인정되는 경우물환경보전법 제33조(배출시설의 설치허가 및 신고)제1항 내지 3항---2019새올전라북도무주군행정처분번호: 2019 - 1
12우신기업우신기업4760000-21200100012허영준전라북도 임실군 임실읍 임삼로 1121-3전라북도 임실군 임실읍 이인리 392-9번지대기사용중지명령2019-05-082019-05-08 ~2019-08-092019-05-07법 제23조에 따라 배출시설설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 배출시설을 설치한 경우-해당지역이 배출시설의 설치가 가능한 지역인 경우대기환경보전법 제23조(배출시설의 설치 허가 및 신고)대기배출시설 신고 미이행임실군 임실읍 임삼로 1121-3-2019새올전라북도임실군행정처분번호: 2019 - 1
23개인--병원장--수질개선명령2019-08-28-2019-08-30아연 34.522mg/L(기준 5이하)물환경보전법 제32조제1항 배출허용기준 초과---2019새올서울특별시성북구행정처분번호: 2019 - 1
34보림산업(주)보림산업5480000-21200900001대표이사경상남도 합천군 용주면 연촌우곡길 165-24경상남도 합천군 용주면 방곡리 826-13번지 ,826-14,560-1대기개선명령2019-07-03-2019-06-29법 제30조에 따른 가동개시신고를 하고 가동 중인 배출시설에서 배출되는 대기오염물질의 정도가 배출시설 또는 방지시설의 결함·고장 또는 운전미숙 등으로 인하여 법 제16조에 따른 배출허용기준을 초과한 경우-특별대책지역외에 있는 사업장인 경우대기환경보전법 제30조((배출시설 등의 가동개시 신고)제16조 (배출허용기준)대기오염물질 초과배출 (질소산화물210.8ppm)--2019새올경상남도합천군행정처분번호: 2019 - 1
45-개인-권영팔--폐기물과태료(100만원이하)-2019-09-03 ~2019-09-232019-08-23생활쓰레기 불법배출(종량제봉투 미사용)폐기물관리법 제15조(생활폐기물배출자의 처리 협조 등)/제68조(과태료)제3항제3호 질서위반행위규제법 제18조에 따른 자진납부 감경(20%)생활쓰레기 불법배출(종량제봉투 미사용)후포면 삼율리 280-4(삼영아파트 앞)-2019새올경상북도울진군행정처분번호: 2019 - 1
56강원레미콘(주)강원레미콘4320000-21199400015손창남강원도 양구군 동면 금강산로 1454강원도 양구군 동면 덕곡리 490-1번지대기경고2019-10-18-2019-09-24법 제31조제2항에 따른 배출시설 및 방지시설의 운영에 관한 관리기록을 거짓으로 기재하였거나 보존·비치하지 아니한 경우대기환경보전법 제31조(배출시설과 방지시설의 운영) 의 2항---2019새올강원도양구군행정처분번호: 2019 - 1
67칠성에너지칠성에너지 영농조합법인4590000-21201700002최명복충청남도 청양군 장평면 금강변로 134-51충청남도 청양군 장평면 분향리 797-32번지대기경고2019-01-22-2019-01-09법 제23조제2항 또는 법 제23조제3항을 위반하여 변경신고를 하지 아니한 경우대기환경보전법 제23조(배출시설의 설치 허가 및 신고)---2019새올충청남도청양군행정처분번호: 2019 - 1
78복수(주)복수4750000-22198600001한규인전라북도 장수군 계남면 장수로 2734전라북도 장수군 계남면 신전리 산 1316-2번지수질개선명령2019-01-252019-01-25 ~2019-02-282019-01-18법 제37조제1항에 따른 가동개시 신고를 하고 조업 중인 폐수배출시설에서 배출되는 수질오염물질의 정도가 폐수배출시설 또는 방지시설의 결함ㆍ고장 또는 운전미숙 등으로 법 제32조에 따른 배출허용기준을 초과한 경우-법 제32조제5항에 따른 특별대책지역 밖에 있는 사업장의 경우물환경보전법 제32조(배출허용기준)수질기준 초과(총질소, 대장균군수)--2019새올전라북도장수군행정처분번호: 2019 - 1
89-동산광택-동산광택 덴트전문점(박상복)--수질사용중지2019-01-29-2019-02-07거짓이나 그 밖의 부정한 방법으로 법 제33조제1항부터 제3항에 따른 폐수배출시설 설치허가ㆍ변경허가를 받았거나, 신고ㆍ변경신고를 한 경우물환경보전법 제33조(배출시설의 설치허가 및 신고)제1항 내지 3항---2019새올전라북도익산시행정처분번호: 2019 - 1
910비피에스글로벌(주)비피에스글로벌3590000-24201800006강순필전라남도 나주시 배멧1길 46 (빛가람동)전라남도 나주시 빛가람동 283-1번지대기경고 및 과태료2019-01-082019-01-08 ~2019-01-232019-01-08비산먼지 발생사업 변경신고 미이행대기환경보전법 제43조공사기간 연장--2019새올전라남도나주시행정처분번호: 2019 - 1
연번법인명사업장명인허가번호대표자명도로명주소지번명주소점검분야처분사항처분확정일자처분기간위반일자위반사항법적근거위반사유위반장소처리부서공개연도정보출처시·도시·군·구행정처분번호
9091대호건설(주)대호건설3840000-24201800016이태우경기도 성남시 분당구 성남대로 295, 대림아크로텔 A동 722호 (정자동)경기도 성남시 분당구 정자동 168-1번지 대림아크로텔대기개선명령2019-01-072019-01-08 ~2019-01-142019-01-04법 제43조제2항에 따른 시설이나 조치가 기준에 맞지 아니한 경우대기환경보전법 제43조(비산먼지의 규제)의 1항방음방진시설 이룹 미설치--2019새올경기도성남시행정처분번호: 2019 - 1
9192청원세차장청원세차장3120000-22200900003성석호서울특별시 서대문구 응암로 122 (북가좌동)서울특별시 서대문구 북가좌동 278-28번지수질개선명령2019-01-212019-01-22 ~2019-02-202019-01-09법 제37조제1항에 따른 가동개시 신고를 하고 조업 중인 폐수배출시설에서 배출되는 수질오염물질의 정도가 폐수배출시설 또는 방지시설의 결함ㆍ고장 또는 운전미숙 등으로 법 제32조에 따른 배출허용기준을 초과한 경우-법 제32조제5항에 따른 특별대책지역 밖에 있는 사업장의 경우----2019새올서울특별시서대문구행정처분번호: 2019 - 1
9293동양동양3040000-22201000004정금옥서울특별시 광진구 용마산로3길 23 (중곡동)서울특별시 광진구 중곡동 120-1번지수질과태료(100만원이하)2019-02-12-2019-02-11법 제 67조의 규정을 위반하여 환경기술인등의 교육을 받게 하지 아니한 경우물환경보전법 제67조 (환경기술인 등의 교육)---2019새올서울특별시광진구행정처분번호: 2019 - 1
9394다인건설다인건설(주)3710000-26201700007김경배-울산광역시 동구 화정동 638-3번지 외3필지소음진동작업시간,방음,방진시설설치,저소음건설기계사용명령2019-04-082019-03-21 ~2019-04-052019-03-21생활소음 규제기준 초과소음·진동규제법 제21조제2항---2019새올울산광역시동구행정처분번호: 2019 - 1
9495프리미엄카케어프리미엄카케어3670000-22201800006김준희대전광역시 유성구 계룡로32번길 9 (봉명동)대전광역시 유성구 봉명동 565-17번지수질개선명령2019-04-022019-04-02 ~2019-06-072019-04-02배출허용기준초과(ABS)물환경보전법제32조---2019새올대전광역시유성구행정처분번호: 2019 - 1
9596영진정비공업사영진정비공업사3630000-21200400014전소현광주광역시 광산구 송촌길37번길 24 (송촌동)광주광역시 광산구 송촌동 214-3번지대기경고2019-02-112019-02-11 ~2019-02-11법 제39조제1항에 따른 자가측정을 위반한 다음과 같은 경우-자가측정을 하지 아니하거나 자가측정 횟수가 적정하지 아니한 경우대기환경보전법 제39조(자가측정) 의 1항---2019새올광주광역시광산구행정처분번호: 2019 - 1
9697케이씨씨건설(주)케이씨씨건설3330000-24201800046정몽열서울특별시 서초구 강남대로 587 (잠원동)서울특별시 서초구 잠원동 27-8번지대기개선명령2019-01-07-2019-12-28법 제43조에 따른 비산먼지 발생사업과 관련된 다음의 경우-법 제43조제1항에 따른 필요한 조치를 이행하지 아니한 경우대기환경보전법 제43조(비산먼지의 규제)의 1항---2019새올서울특별시서초구행정처분번호: 2019 - 1
9798오산한국병원오산한국병원4000000-22200400003조한호 외 1명경기도 오산시 밀머리로1번길 16 (원동)경기도 오산시 원동 560-70번지수질경고2019-01-30-2019-01-10영 제33조(근거법령 법 제35조, 법 제 42조)제2호에 따라 폐수를 위탁처리한다는 사유로 방지시설을 설치하지 아니한 자-폐수수탁처리계약서를 비치하지 아니한 경우(변경의 경우를 포함한다)----2019새올경기도오산시행정처분번호: 2019 - 1
9899범우(주)범우----대기개선명령2019-03-122019-03-28 ~2019-04-26------2019지자체울산광역시--
99100원월드원월드3230000-21200600012이규홍서울특별시 송파구 중대로 126 (가락동)서울특별시 송파구 가락동 112-5번지대기개선명령2019-02-012019-02-01 ~2019-03-212019-02-21법 제30조에 따른 가동개시신고를 하고 가동 중인 배출시설에서 배출되는 대기오염물질의 정도가 배출시설 또는 방지시설의 결함·고장 또는 운전미숙 등으로 인하여 법 제16조에 따른 배출허용기준을 초과한 경우-특별대책지역외에 있는 사업장인 경우대기환경보전법 제33조(개선명령)배출허용기준초과중대로 126-2019새올서울특별시송파구행정처분번호: 2019 - 1