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
처분기간 is highly imbalanced (54.5%)Imbalance
위반사유 is highly imbalanced (72.1%)Imbalance
위반장소 is highly imbalanced (84.4%)Imbalance
정보출처 is highly imbalanced (91.9%)Imbalance
연번 has unique valuesUnique
법인명 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:20:14.410628
Analysis finished2023-12-10 13:20:15.984105
Duration1.57 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
2023-12-10T22:20:16.113788image/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
2023-12-10T22:20:16.380445image/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%

법인명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:16.923640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.47
Min length1

Characters and Unicode

Total characters547
Distinct characters207
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

Unique100 ?
Unique (%)100.0%

Sample

1st row삼풍
2nd row삼일산업
3rd row맥소반
4th row윈하이프랜팅
5th row대준물산
ValueCountFrequency (%)
삼풍 1
 
1.0%
원일아이엠 1
 
1.0%
금성화학 1
 
1.0%
한신공영 1
 
1.0%
미주테크 1
 
1.0%
바람개비셀프세차장 1
 
1.0%
태조산업 1
 
1.0%
리뉴에코에너지 1
 
1.0%
녹색식품 1
 
1.0%
백광소재 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:20:17.832437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
12
 
2.2%
11
 
2.0%
11
 
2.0%
9
 
1.6%
9
 
1.6%
9
 
1.6%
Other values (197) 436
79.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
99.1%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
12
 
2.2%
11
 
2.0%
11
 
2.0%
9
 
1.7%
9
 
1.7%
9
 
1.7%
Other values (192) 431
79.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
99.1%
Common 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
12
 
2.2%
11
 
2.0%
11
 
2.0%
9
 
1.7%
9
 
1.7%
9
 
1.7%
Other values (192) 431
79.5%
Common
ValueCountFrequency (%)
- 1
20.0%
) 1
20.0%
~ 1
20.0%
( 1
20.0%
1 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
99.1%
ASCII 5
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
2.4%
13
 
2.4%
12
 
2.2%
12
 
2.2%
12
 
2.2%
11
 
2.0%
11
 
2.0%
9
 
1.7%
9
 
1.7%
9
 
1.7%
Other values (192) 431
79.5%
ASCII
ValueCountFrequency (%)
- 1
20.0%
) 1
20.0%
~ 1
20.0%
( 1
20.0%
1 1
20.0%

사업장명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:18.306889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length7.97
Min length1

Characters and Unicode

Total characters797
Distinct characters221
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row(주)삼풍
2nd row(주)삼일산업[행암동]
3rd row농업회사법인 (주)맥소반
4th row(주)윈하이프랜팅
5th row대준물산(주)
ValueCountFrequency (%)
농업회사법인 2
 
1.7%
영농조합법인 2
 
1.7%
2
 
1.7%
주)삼풍 1
 
0.9%
현대특장 1
 
0.9%
한신공영(주 1
 
0.9%
주)미주테크 1
 
0.9%
바람개비셀프세차장 1
 
0.9%
주)태조산업 1
 
0.9%
주)리뉴에코에너지 1
 
0.9%
Other values (102) 102
88.7%
2023-12-10T22:20:19.319049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 58
 
7.3%
58
 
7.3%
( 56
 
7.0%
15
 
1.9%
15
 
1.9%
15
 
1.9%
14
 
1.8%
13
 
1.6%
12
 
1.5%
12
 
1.5%
Other values (211) 529
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
82.1%
Close Punctuation 59
 
7.4%
Open Punctuation 57
 
7.2%
Space Separator 15
 
1.9%
Uppercase Letter 4
 
0.5%
Other Symbol 3
 
0.4%
Decimal Number 3
 
0.4%
Dash Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
8.9%
15
 
2.3%
15
 
2.3%
14
 
2.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (196) 483
73.9%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
A 1
25.0%
S 1
25.0%
T 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
9 1
33.3%
1 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 58
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 56
98.2%
[ 1
 
1.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 657
82.4%
Common 136
 
17.1%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
8.8%
15
 
2.3%
15
 
2.3%
14
 
2.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (197) 486
74.0%
Common
ValueCountFrequency (%)
) 58
42.6%
( 56
41.2%
15
 
11.0%
2 1
 
0.7%
[ 1
 
0.7%
] 1
 
0.7%
9 1
 
0.7%
- 1
 
0.7%
~ 1
 
0.7%
1 1
 
0.7%
Latin
ValueCountFrequency (%)
L 1
25.0%
A 1
25.0%
S 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
82.1%
ASCII 140
 
17.6%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 58
41.4%
( 56
40.0%
15
 
10.7%
2 1
 
0.7%
[ 1
 
0.7%
] 1
 
0.7%
9 1
 
0.7%
- 1
 
0.7%
L 1
 
0.7%
~ 1
 
0.7%
Other values (4) 4
 
2.9%
Hangul
ValueCountFrequency (%)
58
 
8.9%
15
 
2.3%
15
 
2.3%
14
 
2.1%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
11
 
1.7%
10
 
1.5%
Other values (196) 483
73.9%
None
ValueCountFrequency (%)
3
100.0%
Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:19.744871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length18.46
Min length1

Characters and Unicode

Total characters1846
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

Unique97 ?
Unique (%)97.0%

Sample

1st row5350000-22200900011
2nd row5670206-22201500005
3rd row5420000-22201400001
4th row5380000-21201200013
5th row5330000-22199300069
ValueCountFrequency (%)
3
 
3.0%
3400000-24201500188 1
 
1.0%
3480000-21201100010 1
 
1.0%
4220000-22201400002 1
 
1.0%
4020000-21200100188 1
 
1.0%
5120000-35201200008 1
 
1.0%
4960000-22201500008 1
 
1.0%
4480000-21198000002 1
 
1.0%
3310000-21201700001 1
 
1.0%
5080000-61201800001 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T22:20:20.282726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 853
46.2%
2 257
 
13.9%
1 175
 
9.5%
- 100
 
5.4%
3 95
 
5.1%
4 89
 
4.8%
5 74
 
4.0%
9 63
 
3.4%
6 54
 
2.9%
8 54
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1746
94.6%
Dash Punctuation 100
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 853
48.9%
2 257
 
14.7%
1 175
 
10.0%
3 95
 
5.4%
4 89
 
5.1%
5 74
 
4.2%
9 63
 
3.6%
6 54
 
3.1%
8 54
 
3.1%
7 32
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1846
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 853
46.2%
2 257
 
13.9%
1 175
 
9.5%
- 100
 
5.4%
3 95
 
5.1%
4 89
 
4.8%
5 74
 
4.0%
9 63
 
3.4%
6 54
 
2.9%
8 54
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 853
46.2%
2 257
 
13.9%
1 175
 
9.5%
- 100
 
5.4%
3 95
 
5.1%
4 89
 
4.8%
5 74
 
4.0%
9 63
 
3.4%
6 54
 
2.9%
8 54
 
2.9%
Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:20.703345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.78
Min length2

Characters and Unicode

Total characters378
Distinct characters119
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

Unique72 ?
Unique (%)72.0%

Sample

1st row대표이사
2nd row대표이사
3rd row허원태
4th row대표이사
5th row조삼식
ValueCountFrequency (%)
대표이사 29
27.6%
김인수 2
 
1.9%
장송섭 1
 
1.0%
이금숙 1
 
1.0%
김학식 1
 
1.0%
염선옥 1
 
1.0%
정보현 1
 
1.0%
이해국 1
 
1.0%
김옥순 1
 
1.0%
이선숙 1
 
1.0%
Other values (66) 66
62.9%
2023-12-10T22:20:21.291035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
10.6%
34
 
9.0%
29
 
7.7%
29
 
7.7%
15
 
4.0%
12
 
3.2%
8
 
2.1%
7
 
1.9%
5
 
1.3%
5
 
1.3%
Other values (109) 194
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
96.8%
Space Separator 5
 
1.3%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 2
 
0.5%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
10.9%
34
 
9.3%
29
 
7.9%
29
 
7.9%
15
 
4.1%
12
 
3.3%
8
 
2.2%
7
 
1.9%
5
 
1.4%
5
 
1.4%
Other values (103) 182
49.7%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
96.8%
Common 12
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
10.9%
34
 
9.3%
29
 
7.9%
29
 
7.9%
15
 
4.1%
12
 
3.3%
8
 
2.2%
7
 
1.9%
5
 
1.4%
5
 
1.4%
Other values (103) 182
49.7%
Common
ValueCountFrequency (%)
5
41.7%
) 2
 
16.7%
( 2
 
16.7%
: 1
 
8.3%
, 1
 
8.3%
2 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
96.8%
ASCII 12
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
 
10.9%
34
 
9.3%
29
 
7.9%
29
 
7.9%
15
 
4.1%
12
 
3.3%
8
 
2.2%
7
 
1.9%
5
 
1.4%
5
 
1.4%
Other values (103) 182
49.7%
ASCII
ValueCountFrequency (%)
5
41.7%
) 2
 
16.7%
( 2
 
16.7%
: 1
 
8.3%
, 1
 
8.3%
2 1
 
8.3%
Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:21.805073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length22.57
Min length1

Characters and Unicode

Total characters2257
Distinct characters214
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

Unique87 ?
Unique (%)87.0%

Sample

1st row경상남도 김해시 생림면 생림대로 626-10
2nd row-
3rd row경상남도 고성군 고성읍 남해안대로 2969-25
4th row경상남도 양산시 상북면 소토4길 35
5th row경상남도 통영시 동호안길 100 (동호동)
ValueCountFrequency (%)
경기도 16
 
3.3%
13
 
2.7%
경상남도 13
 
2.7%
경상북도 10
 
2.1%
부산광역시 9
 
1.9%
전라남도 9
 
1.9%
강원도 5
 
1.0%
서울특별시 5
 
1.0%
인천광역시 4
 
0.8%
충청북도 4
 
0.8%
Other values (351) 394
81.7%
2023-12-10T22:20:22.558133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
382
 
16.9%
1 74
 
3.3%
73
 
3.2%
69
 
3.1%
66
 
2.9%
2 61
 
2.7%
57
 
2.5%
( 49
 
2.2%
) 49
 
2.2%
- 45
 
2.0%
Other values (204) 1332
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1358
60.2%
Space Separator 382
 
16.9%
Decimal Number 356
 
15.8%
Open Punctuation 49
 
2.2%
Close Punctuation 49
 
2.2%
Dash Punctuation 45
 
2.0%
Other Punctuation 15
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
5.4%
69
 
5.1%
66
 
4.9%
57
 
4.2%
44
 
3.2%
42
 
3.1%
39
 
2.9%
38
 
2.8%
37
 
2.7%
33
 
2.4%
Other values (187) 860
63.3%
Decimal Number
ValueCountFrequency (%)
1 74
20.8%
2 61
17.1%
3 41
11.5%
4 31
8.7%
7 31
8.7%
5 30
8.4%
6 27
 
7.6%
0 21
 
5.9%
8 20
 
5.6%
9 20
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1358
60.2%
Common 896
39.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
5.4%
69
 
5.1%
66
 
4.9%
57
 
4.2%
44
 
3.2%
42
 
3.1%
39
 
2.9%
38
 
2.8%
37
 
2.7%
33
 
2.4%
Other values (187) 860
63.3%
Common
ValueCountFrequency (%)
382
42.6%
1 74
 
8.3%
2 61
 
6.8%
( 49
 
5.5%
) 49
 
5.5%
- 45
 
5.0%
3 41
 
4.6%
4 31
 
3.5%
7 31
 
3.5%
5 30
 
3.3%
Other values (5) 103
 
11.5%
Latin
ValueCountFrequency (%)
S 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1358
60.2%
ASCII 899
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
382
42.5%
1 74
 
8.2%
2 61
 
6.8%
( 49
 
5.5%
) 49
 
5.5%
- 45
 
5.0%
3 41
 
4.6%
4 31
 
3.4%
7 31
 
3.4%
5 30
 
3.3%
Other values (7) 106
 
11.8%
Hangul
ValueCountFrequency (%)
73
 
5.4%
69
 
5.1%
66
 
4.9%
57
 
4.2%
44
 
3.2%
42
 
3.1%
39
 
2.9%
38
 
2.8%
37
 
2.7%
33
 
2.4%
Other values (187) 860
63.3%
Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:23.115357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34.5
Mean length22.85
Min length1

Characters and Unicode

Total characters2285
Distinct characters189
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 row경상남도 김해시 생림면 사촌리 436-1번지
2nd row경상남도 창원시 진해구 행암동 88-7번지
3rd row경상남도 고성군 고성읍 우산리 81-1번지
4th row경상남도 양산시 상북면 소토리 160-15번지
5th row경상남도 통영시 동호동 358-7번지
ValueCountFrequency (%)
경기도 18
 
3.9%
경상남도 14
 
3.0%
경상북도 10
 
2.1%
부산광역시 10
 
2.1%
9
 
1.9%
전라남도 7
 
1.5%
충청남도 6
 
1.3%
창원시 5
 
1.1%
충청북도 5
 
1.1%
서울특별시 5
 
1.1%
Other values (331) 377
80.9%
2023-12-10T22:20:23.897759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
465
 
20.4%
95
 
4.2%
89
 
3.9%
- 76
 
3.3%
1 74
 
3.2%
73
 
3.2%
69
 
3.0%
53
 
2.3%
51
 
2.2%
2 49
 
2.1%
Other values (179) 1191
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1355
59.3%
Space Separator 465
 
20.4%
Decimal Number 377
 
16.5%
Dash Punctuation 76
 
3.3%
Other Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
95
 
7.0%
89
 
6.6%
73
 
5.4%
69
 
5.1%
53
 
3.9%
51
 
3.8%
45
 
3.3%
44
 
3.2%
39
 
2.9%
34
 
2.5%
Other values (162) 763
56.3%
Decimal Number
ValueCountFrequency (%)
1 74
19.6%
2 49
13.0%
3 40
10.6%
4 36
9.5%
5 33
8.8%
8 33
8.8%
0 30
8.0%
7 29
 
7.7%
9 27
 
7.2%
6 26
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
465
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1355
59.3%
Common 927
40.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
95
 
7.0%
89
 
6.6%
73
 
5.4%
69
 
5.1%
53
 
3.9%
51
 
3.8%
45
 
3.3%
44
 
3.2%
39
 
2.9%
34
 
2.5%
Other values (162) 763
56.3%
Common
ValueCountFrequency (%)
465
50.2%
- 76
 
8.2%
1 74
 
8.0%
2 49
 
5.3%
3 40
 
4.3%
4 36
 
3.9%
5 33
 
3.6%
8 33
 
3.6%
0 30
 
3.2%
7 29
 
3.1%
Other values (5) 62
 
6.7%
Latin
ValueCountFrequency (%)
S 2
66.7%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1355
59.3%
ASCII 930
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
465
50.0%
- 76
 
8.2%
1 74
 
8.0%
2 49
 
5.3%
3 40
 
4.3%
4 36
 
3.9%
5 33
 
3.5%
8 33
 
3.5%
0 30
 
3.2%
7 29
 
3.1%
Other values (7) 65
 
7.0%
Hangul
ValueCountFrequency (%)
95
 
7.0%
89
 
6.6%
73
 
5.4%
69
 
5.1%
53
 
3.9%
51
 
3.8%
45
 
3.3%
44
 
3.2%
39
 
2.9%
34
 
2.5%
Other values (162) 763
56.3%

점검분야
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대기
50 
수질
34 
폐기물
소음진동
 
4
악취
 
2

Length

Max length4
Median length2
Mean length2.17
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기 50
50.0%
수질 34
34.0%
폐기물 9
 
9.0%
소음진동 4
 
4.0%
악취 2
 
2.0%
기타 1
 
1.0%

Length

2023-12-10T22:20:24.297878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:24.554968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기 50
50.0%
수질 34
34.0%
폐기물 9
 
9.0%
소음진동 4
 
4.0%
악취 2
 
2.0%
기타 1
 
1.0%

처분사항
Categorical

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경고
32 
개선명령
19 
과태료(100만원이하)
고발
조업정지10일
Other values (21)
30 

Length

Max length26
Median length22
Mean length5.99
Min length2

Unique

Unique15 ?
Unique (%)15.0%

Sample

1st row경고
2nd row개선명령
3rd row경고
4th row경고
5th row경고 및 과태료

Common Values

ValueCountFrequency (%)
경고 32
32.0%
개선명령 19
19.0%
과태료(100만원이하) 9
 
9.0%
고발 6
 
6.0%
조업정지10일 4
 
4.0%
사용중지 3
 
3.0%
사용중지명령 3
 
3.0%
폐쇄명령 3
 
3.0%
과태료(60만원) 2
 
2.0%
경고 및 과태료 2
 
2.0%
Other values (16) 17
17.0%

Length

2023-12-10T22:20:24.766039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경고 35
32.4%
개선명령 19
17.6%
과태료(100만원이하 9
 
8.3%
고발 6
 
5.6%
조업정지10일 4
 
3.7%
사용중지 3
 
2.8%
사용중지명령 3
 
2.8%
폐쇄명령 3
 
2.8%
3
 
2.8%
작업시간,방음,방진시설설치,저소음건설기계사용명령 2
 
1.9%
Other values (19) 21
19.4%
Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:25.091881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.46
Min length1

Characters and Unicode

Total characters946
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

Unique33 ?
Unique (%)33.0%

Sample

1st row2018-12-13
2nd row2018-12-03
3rd row2018-12-31
4th row2018-12-26
5th row-
ValueCountFrequency (%)
2018-12-31 11
 
11.0%
2018-12-21 6
 
6.0%
6
 
6.0%
2018-12-20 6
 
6.0%
2018-12-10 5
 
5.0%
2018-12-24 5
 
5.0%
2018-12-13 3
 
3.0%
2018-12-26 3
 
3.0%
2018-12-05 3
 
3.0%
2018-12-11 3
 
3.0%
Other values (40) 49
49.0%
2023-12-10T22:20:25.713845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 229
24.2%
2 198
20.9%
- 194
20.5%
0 148
15.6%
8 102
10.8%
3 21
 
2.2%
4 13
 
1.4%
6 12
 
1.3%
9 10
 
1.1%
7 10
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
79.5%
Dash Punctuation 194
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 229
30.5%
2 198
26.3%
0 148
19.7%
8 102
13.6%
3 21
 
2.8%
4 13
 
1.7%
6 12
 
1.6%
9 10
 
1.3%
7 10
 
1.3%
5 9
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 229
24.2%
2 198
20.9%
- 194
20.5%
0 148
15.6%
8 102
10.8%
3 21
 
2.2%
4 13
 
1.4%
6 12
 
1.3%
9 10
 
1.1%
7 10
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 229
24.2%
2 198
20.9%
- 194
20.5%
0 148
15.6%
8 102
10.8%
3 21
 
2.2%
4 13
 
1.4%
6 12
 
1.3%
9 10
 
1.1%
7 10
 
1.1%

처분기간
Categorical

IMBALANCE 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
72 
2018-12-31 ~2019-01-29
 
2
2018-11-22 ~
 
2
2018-12-24 ~2019-01-31
 
1
2018-12-21 ~2019-01-04
 
1
Other values (22)
22 

Length

Max length23
Median length1
Mean length6.96
Min length1

Unique

Unique24 ?
Unique (%)24.0%

Sample

1st row-
2nd row2018-12-03 ~2019-01-02
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 72
72.0%
2018-12-31 ~2019-01-29 2
 
2.0%
2018-11-22 ~ 2
 
2.0%
2018-12-24 ~2019-01-31 1
 
1.0%
2018-12-21 ~2019-01-04 1
 
1.0%
2018-12-06 ~2019-01-10 1
 
1.0%
2018-12-24 ~2018-12-28 1
 
1.0%
2018-12-12 ~2019-01-28 1
 
1.0%
2018-10-12 ~2018-10-21 1
 
1.0%
2018-08-14 ~2019-03-31 1
 
1.0%
Other values (17) 17
 
17.0%

Length

2023-12-10T22:20:25.967950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
74
57.8%
2018-11-14 3
 
2.3%
2018-12-31 3
 
2.3%
2018-12-24 3
 
2.3%
2019-01-04 2
 
1.6%
2018-10-05 2
 
1.6%
2018-12-10 2
 
1.6%
2018-11-22 2
 
1.6%
2019-01-31 2
 
1.6%
2019-01-29 2
 
1.6%
Other values (33) 33
25.8%
Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:26.353313image/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

Unique40 ?
Unique (%)40.0%

Sample

1st row2018-11-26
2nd row2018-11-27
3rd row2018-12-03
4th row2018-11-29
5th row2018-12-17
ValueCountFrequency (%)
2018-12-06 5
 
5.0%
2018-12-03 4
 
4.0%
2018-12-20 4
 
4.0%
2018-12-31 3
 
3.0%
2018-11-13 3
 
3.0%
2018-11-27 3
 
3.0%
2018-11-26 3
 
3.0%
2018-12-04 3
 
3.0%
2018-11-22 3
 
3.0%
2018-12-17 3
 
3.0%
Other values (53) 66
66.0%
2023-12-10T22:20:27.044094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 247
24.9%
- 199
20.1%
2 182
18.4%
0 169
17.1%
8 108
10.9%
3 19
 
1.9%
6 17
 
1.7%
7 17
 
1.7%
4 14
 
1.4%
9 13
 
1.3%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 247
31.2%
2 182
23.0%
0 169
21.3%
8 108
13.6%
3 19
 
2.4%
6 17
 
2.1%
7 17
 
2.1%
4 14
 
1.8%
9 13
 
1.6%
5 6
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 247
24.9%
- 199
20.1%
2 182
18.4%
0 169
17.1%
8 108
10.9%
3 19
 
1.9%
6 17
 
1.7%
7 17
 
1.7%
4 14
 
1.4%
9 13
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 247
24.9%
- 199
20.1%
2 182
18.4%
0 169
17.1%
8 108
10.9%
3 19
 
1.9%
6 17
 
1.7%
7 17
 
1.7%
4 14
 
1.4%
9 13
 
1.3%
Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:27.547213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length92
Mean length62.53
Min length9

Characters and Unicode

Total characters6253
Distinct characters207
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)39.0%

Sample

1st row 법 제38조제3항에 따른 폐수배출시설 및 방지시설의 운영에 관한 관리기록을 거짓으로 기록하거나 보존ㆍ비치하지 아니한 경우
2nd row 법 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
3rd row 운영일지 미작성
4th row자가측정 미이행
5th row 배출시설 및 방지시설 운영일지 미작성
ValueCountFrequency (%)
76
 
5.9%
경우 60
 
4.7%
따른 52
 
4.1%
하지 31
 
2.4%
아니한 30
 
2.3%
또는 26
 
2.0%
폐수배출시설 25
 
2.0%
신고를 21
 
1.6%
20
 
1.6%
아니하거나 20
 
1.6%
Other values (281) 919
71.8%
2023-12-10T22:20:28.794514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1377
 
22.0%
169
 
2.7%
165
 
2.6%
159
 
2.5%
156
 
2.5%
136
 
2.2%
135
 
2.2%
116
 
1.9%
115
 
1.8%
111
 
1.8%
Other values (197) 3614
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4529
72.4%
Space Separator 1377
 
22.0%
Decimal Number 252
 
4.0%
Dash Punctuation 36
 
0.6%
Close Punctuation 25
 
0.4%
Open Punctuation 24
 
0.4%
Other Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
169
 
3.7%
165
 
3.6%
159
 
3.5%
156
 
3.4%
136
 
3.0%
135
 
3.0%
116
 
2.6%
115
 
2.5%
111
 
2.5%
109
 
2.4%
Other values (182) 3158
69.7%
Decimal Number
ValueCountFrequency (%)
3 103
40.9%
2 46
18.3%
1 38
 
15.1%
7 20
 
7.9%
4 11
 
4.4%
8 10
 
4.0%
5 9
 
3.6%
9 6
 
2.4%
6 5
 
2.0%
0 4
 
1.6%
Space Separator
ValueCountFrequency (%)
1377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
· 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4529
72.4%
Common 1724
 
27.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
169
 
3.7%
165
 
3.6%
159
 
3.5%
156
 
3.4%
136
 
3.0%
135
 
3.0%
116
 
2.6%
115
 
2.5%
111
 
2.5%
109
 
2.4%
Other values (182) 3158
69.7%
Common
ValueCountFrequency (%)
1377
79.9%
3 103
 
6.0%
2 46
 
2.7%
1 38
 
2.2%
- 36
 
2.1%
) 25
 
1.5%
( 24
 
1.4%
7 20
 
1.2%
4 11
 
0.6%
· 10
 
0.6%
Other values (5) 34
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4512
72.2%
ASCII 1714
 
27.4%
Compat Jamo 17
 
0.3%
None 10
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1377
80.3%
3 103
 
6.0%
2 46
 
2.7%
1 38
 
2.2%
- 36
 
2.1%
) 25
 
1.5%
( 24
 
1.4%
7 20
 
1.2%
4 11
 
0.6%
8 10
 
0.6%
Other values (4) 24
 
1.4%
Hangul
ValueCountFrequency (%)
169
 
3.7%
165
 
3.7%
159
 
3.5%
156
 
3.5%
136
 
3.0%
135
 
3.0%
116
 
2.6%
115
 
2.5%
111
 
2.5%
109
 
2.4%
Other values (181) 3141
69.6%
Compat Jamo
ValueCountFrequency (%)
17
100.0%
None
ValueCountFrequency (%)
· 10
100.0%

법적근거
Categorical

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
13 
물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항
물환경보전법 제32조(배출허용기준)
 
6
대기환경보전법 제39조(자가측정) 의 1항
 
6
대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 의 2항 또는 제23조 3항
 
5
Other values (41)
61 

Length

Max length83
Median length35
Mean length25.09
Min length1

Unique

Unique29 ?
Unique (%)29.0%

Sample

1st row물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항
2nd row-
3rd row물환경보전법 제38조제3항
4th row-
5th row물환경보전법 제38조

Common Values

ValueCountFrequency (%)
- 13
 
13.0%
물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항 9
 
9.0%
물환경보전법 제32조(배출허용기준) 6
 
6.0%
대기환경보전법 제39조(자가측정) 의 1항 6
 
6.0%
대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 의 2항 또는 제23조 3항 5
 
5.0%
대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 5
 
5.0%
대기환경보전법 제31조(배출시설과 방지시설의 운영) 의 1항 4
 
4.0%
대기환경보전법 제 77조(환경기술인 등의 교육) 4
 
4.0%
물환경보전법 제33조(배출시설의 설치허가 및 신고)제1항 내지 3항 3
 
3.0%
물환경보전법 제67조 (환경기술인 등의 교육) 2
 
2.0%
Other values (36) 43
43.0%

Length

2023-12-10T22:20:29.444660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대기환경보전법 44
 
9.9%
27
 
6.1%
물환경보전법 26
 
5.8%
방지시설의 17
 
3.8%
운영 17
 
3.8%
17
 
3.8%
13
 
2.9%
1항 12
 
2.7%
신고 11
 
2.5%
허가 11
 
2.5%
Other values (101) 250
56.2%

위반사유
Categorical

IMBALANCE 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
87 
미신고 대기배출시설 설치운영
 
2
유증기 회수설비 검사 부적합
 
2
사용중지명령 미이행
 
1
폐기물을 적정한 장소가 아닌 곳에 보관
 
1
Other values (7)
 
7

Length

Max length23
Median length1
Mean length3.01
Min length1

Unique

Unique9 ?
Unique (%)9.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 87
87.0%
미신고 대기배출시설 설치운영 2
 
2.0%
유증기 회수설비 검사 부적합 2
 
2.0%
사용중지명령 미이행 1
 
1.0%
폐기물을 적정한 장소가 아닌 곳에 보관 1
 
1.0%
변경신고 미 이행 1
 
1.0%
건설폐기물 허용보관량 초과 20%이내 1
 
1.0%
환경기술인교육 미이수 1
 
1.0%
배출시설 변경신고 지연 1
 
1.0%
생활소음규제기준 초과(2차) 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T22:20:29.911326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
87
67.4%
대기배출시설 2
 
1.6%
설치운영 2
 
1.6%
유증기 2
 
1.6%
회수설비 2
 
1.6%
검사 2
 
1.6%
부적합 2
 
1.6%
미신고 2
 
1.6%
변경신고 2
 
1.6%
생활소음규제기준 1
 
0.8%
Other values (25) 25
 
19.4%

위반장소
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
-
95 
대구시 달성군 하빈면 하산길 13
 
1
경기도 의정부시 자일동 321-12외 1필지
 
1
양덕로 144(양덕동)
 
1
인천광역시 서구
 
1

Length

Max length26
Median length1
Mean length1.82
Min length1

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 95
95.0%
대구시 달성군 하빈면 하산길 13 1
 
1.0%
경기도 의정부시 자일동 321-12외 1필지 1
 
1.0%
양덕로 144(양덕동) 1
 
1.0%
인천광역시 서구 1
 
1.0%
경기도 의정부시 신흥로 11 1
 
1.0%

Length

2023-12-10T22:20:30.222103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:30.389070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
95
84.1%
경기도 2
 
1.8%
의정부시 2
 
1.8%
1필지 1
 
0.9%
신흥로 1
 
0.9%
서구 1
 
0.9%
인천광역시 1
 
0.9%
144(양덕동 1
 
0.9%
양덕로 1
 
0.9%
자일동 1
 
0.9%
Other values (7) 7
 
6.2%

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

2023-12-10T22:20:30.577324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:30.723245image/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
2018
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 100
100.0%

Length

2023-12-10T22:20:30.902830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:31.093626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 100
100.0%

정보출처
Categorical

IMBALANCE 

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

Length

Max length8
Median length2
Mean length2.06
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 홈페이지 1
 
1.0%

Length

2023-12-10T22:20:31.280095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:31.456719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
새올 99
98.0%
지자체 1
 
1.0%
홈페이지 1
 
1.0%

시·도
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기도
20 
경상남도
15 
부산광역시
11 
경상북도
10 
전라남도
Other values (9)
35 

Length

Max length5
Median length4
Mean length4.03
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 20
20.0%
경상남도 15
15.0%
부산광역시 11
11.0%
경상북도 10
10.0%
전라남도 9
9.0%
충청남도 6
 
6.0%
강원도 5
 
5.0%
인천광역시 5
 
5.0%
서울특별시 5
 
5.0%
충청북도 5
 
5.0%
Other values (4) 9
9.0%

Length

2023-12-10T22:20:31.653140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 20
20.0%
경상남도 15
15.0%
부산광역시 11
11.0%
경상북도 10
10.0%
전라남도 9
9.0%
충청남도 6
 
6.0%
강원도 5
 
5.0%
인천광역시 5
 
5.0%
서울특별시 5
 
5.0%
충청북도 5
 
5.0%
Other values (4) 9
9.0%
Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:20:32.030345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.97
Min length2

Characters and Unicode

Total characters297
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row김해시
2nd row창원시
3rd row고성군
4th row양산시
5th row통영시
ValueCountFrequency (%)
창원시 5
 
5.0%
고성군 3
 
3.0%
서구 3
 
3.0%
예천군 2
 
2.0%
천안시 2
 
2.0%
해남군 2
 
2.0%
음성군 2
 
2.0%
부산진구 2
 
2.0%
연제구 2
 
2.0%
사하구 2
 
2.0%
Other values (59) 75
75.0%
2023-12-10T22:20:33.148417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
17.2%
28
 
9.4%
28
 
9.4%
13
 
4.4%
10
 
3.4%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (62) 133
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
17.2%
28
 
9.4%
28
 
9.4%
13
 
4.4%
10
 
3.4%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (62) 133
44.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
17.2%
28
 
9.4%
28
 
9.4%
13
 
4.4%
10
 
3.4%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (62) 133
44.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
51
 
17.2%
28
 
9.4%
28
 
9.4%
13
 
4.4%
10
 
3.4%
8
 
2.7%
7
 
2.4%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (62) 133
44.8%
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
행정처분번호: 2019 - 1
70 
행정처분번호: 2019 - 2
29 
-
 
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 70
70.0%
행정처분번호: 2019 - 2 29
29.0%
- 1
 
1.0%

Length

2023-12-10T22:20:33.526278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:20:33.692571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100
25.2%
행정처분번호 99
24.9%
2019 99
24.9%
1 70
17.6%
2 29
 
7.3%

Sample

연번법인명사업장명인허가번호대표자명도로명주소지번명주소점검분야처분사항처분확정일자처분기간위반일자위반사항법적근거위반사유위반장소처리부서공개연도정보출처시·도시·군·구행정처분번호
01삼풍(주)삼풍5350000-22200900011대표이사경상남도 김해시 생림면 생림대로 626-10경상남도 김해시 생림면 사촌리 436-1번지수질경고2018-12-13-2018-11-26법 제38조제3항에 따른 폐수배출시설 및 방지시설의 운영에 관한 관리기록을 거짓으로 기록하거나 보존ㆍ비치하지 아니한 경우물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항---2018새올경상남도김해시행정처분번호: 2019 - 1
12삼일산업(주)삼일산업[행암동]5670206-22201500005대표이사-경상남도 창원시 진해구 행암동 88-7번지수질개선명령2018-12-032018-12-03 ~2019-01-022018-11-27법 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----2018새올경상남도창원시행정처분번호: 2019 - 1
23맥소반농업회사법인 (주)맥소반5420000-22201400001허원태경상남도 고성군 고성읍 남해안대로 2969-25경상남도 고성군 고성읍 우산리 81-1번지수질경고2018-12-31-2018-12-03운영일지 미작성물환경보전법 제38조제3항---2018새올경상남도고성군행정처분번호: 2019 - 1
34윈하이프랜팅(주)윈하이프랜팅5380000-21201200013대표이사경상남도 양산시 상북면 소토4길 35경상남도 양산시 상북면 소토리 160-15번지대기경고2018-12-26-2018-11-29자가측정 미이행----2018새올경상남도양산시행정처분번호: 2019 - 1
45대준물산대준물산(주)5330000-22199300069조삼식경상남도 통영시 동호안길 100 (동호동)경상남도 통영시 동호동 358-7번지수질경고 및 과태료--2018-12-17배출시설 및 방지시설 운영일지 미작성물환경보전법 제38조---2018새올경상남도통영시행정처분번호: 2019 - 1
56예천군농협쌀조합공동사업법인예천군농협쌀조합공동사업법인5230000-21201800001대표이사경상북도 예천군 개포면 예지로 1226경상북도 예천군 개포면 경진리 37-1번지 외 4대기경고-2018-11-22 ~2018-11-22대기배출시설 변경신고 미이행대기환경보전법 제23조---2018새올경상북도예천군행정처분번호: 2019 - 1
67우진교역(주)우진교역5150000-22201300003박경호경상북도 의성군 의성읍 용연1길 29-12경상북도 의성군 의성읍 용연리 530-1번지수질개선명령2018-12-05-2018-11-22법 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)---2018새올경상북도의성군행정처분번호: 2019 - 1
78정대산업(주)정대산업5620000-62201800003차정운경기도 용인시 처인구 남사면 천덕산로 357-5, 효순이네가든경기도 용인시 처인구 남사면 원암리 402-3번지 효순이네가든수질고발2018-12-10-2018-12-04법 제33조제1항 내지 제3항에 따른 폐수배출시설 설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 폐수배출시설을 설치하거나 사용한 경우-그 지역이 폐수배출시설의 설치가 가능한 지역인 경우물환경보전법 제33조(배출시설의 설치허가 및 신고)제1항 내지 3항사용중지명령 미이행--2018새올경기도용인시행정처분번호: 2019 - 1
89정우환경(주)정우환경3420000-35200900009정삼경대구광역시 동구 아양로 28, 203호 (신암동)대구광역시 동구 신암동 166-8번지 명종빌딩 203호폐기물영업정지15일2018-12-202018-12-21 ~2019-01-042018-09-03환경부령으로 정하는 바에따라 폐기물을 허가받은 사업장 내 보관시설이나 승인받은 임시보관시설 등 폐기물을 적정한 장소가 아닌 곳에 보관폐기물관리법 제25조 제9항 제1호 위반폐기물을 적정한 장소가 아닌 곳에 보관대구시 달성군 하빈면 하산길 13-2018새올대구광역시동구행정처분번호: 2019 - 1
910동일씨엠동일씨엠(주)5540000-61201900001김재욱경기도 광주시 오포읍 수렁개들길 58경기도 광주시 오포읍 문형리 594번지대기폐쇄명령2018-12-10-2018-10-19법 제23조에 따라 배출시설설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 배출시설을 설치한 경우-해당지역이 배출시설의 설치가 불가능한 지역인 경우대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 의 2항 또는 제23조 3항---2018새올경기도광주시행정처분번호: 2019 - 1
연번법인명사업장명인허가번호대표자명도로명주소지번명주소점검분야처분사항처분확정일자처분기간위반일자위반사항법적근거위반사유위반장소처리부서공개연도정보출처시·도시·군·구행정처분번호
9091연자방아친환경쌀정미소영농조합법인 연자방아친환경쌀 정미소5230000-21200600002영농조합법인 연자방아친환경쌀 정미소경상북도 예천군 풍양면 삼강로 355경상북도 예천군 풍양면 공덕리 318-6번지대기경고-2018-11-22 ~2018-11-22대기배출시설 변경신고 미이행대기환경보전법 제23조---2018새올경상북도예천군행정처분번호: 2019 - 2
9192성우카서비스성우카서비스5620000-61201900001최대준경기도 용인시 처인구 이동읍 경기동로742번길 8경기도 용인시 처인구 이동읍 송전리 491-2번지대기고발2018-12-11-2018-12-05법 제23조에 따라 배출시설설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 배출시설을 설치한 경우-해당지역이 배출시설의 설치가 불가능한 지역인 경우대기환경보전법 제23조(배출시설의 설치 허가 및 신고)---2018새올경기도용인시행정처분번호: 2019 - 2
9293태원농산(주)태원농산5110000-35199600004임종기경상북도 상주시 화동면 신촌유계길 72-11경상북도 상주시 화동면 신촌리 26-1번지폐기물과징금(1000만원)2018-12-192018-12-19 ~2019-01-252018-11-06폐기물의 재활용 원칙 및 준수사항 위반(폐기물관리법제13조의2 및 같은법 시행규칙 제14조의3))----2018새올경상북도상주시행정처분번호: 2019 - 2
9394효성금속효성금속5540000-61201900002강순화경기도 광주시 오포읍 양촌길 236-1경기도 광주시 오포읍 양벌리 788-4번지대기폐쇄명령2018-12-10-2018-10-15법 제23조에 따라 배출시설설치허가(변경허가를 포함한다)를 받지 아니하거나 신고를 하지 아니하고 배출시설을 설치한 경우-해당지역이 배출시설의 설치가 불가능한 지역인 경우대기환경보전법 제23조(배출시설의 설치 허가 및 신고) 의 2항 또는 제23조 3항---2018새올경기도광주시행정처분번호: 2019 - 2
9495석성정미소석성정미소4570000-21198600060이근제-충청남도 부여군 임천면 군사리 57번지대기과태료(60만원)2018-12-06-2018-12-04법 제77조를 위반하여 환경기술인 등의 교육을 받게 하지 아니하였을 경우----2018새올충청남도부여군행정처분번호: 2019 - 2
9596강민종합건설(주)강민종합건설5670184-26201600058백승훈경상남도 창원시 의창구 대봉로 14 (봉림동)경상남도 창원시 의창구 봉림동 713-4번지소음진동과태료(100만원이하)2018-08-22-2018-08-22특정공사사전 변경신고 미이행소음진동관리법 제22조 제2항---2018새올경상남도창원시행정처분번호: 2019 - 2
9697전국자동차정비(주)전국자동차정비5610000-21199300005박관춘경기도 수원시 영통구 신원로 210 (매탄동)경기도 수원시 영통구 매탄동 555-1번지대기조업정지10일2018-12-06-2018-08-17법 제31조제1항을 위반하여 다음과 같은 행위를 하는 경우-배출시설 가동 시에 방지시설을 가동하지 아니하거나 오염도를 낮추기 위하여 배출시설에서 배출되는 대기오염물질에 공기를 섞어 배출하는 행위대기환경보전법 제31조(배출시설과 방지시설의 운영) 의 1항---2018새올경기도수원시행정처분번호: 2019 - 2
9798현대오일뱅크현대오일뱅크(주)직영 부산현대주유소3370000-27200300013대표이사부산광역시 연제구 아시아드대로 107 (거제동)부산광역시 연제구 거제동 891-2번지대기개선명령2018-10-052018-10-05 ~2018-11-142018-09-04법 제44조 또는 제45조에 따른 휘발성유기화합물 규제와 관련된 다음의 경우 - 휘발성유기화합물 배출억제·방지시설의 설치 등의 조치를 이행하지 아니한 경우대기환경보전법 제 44조(휘발성유기화합물의 규제) 또는대기환경보전법 제 45조 (기존 휘발성유기화합물 배출시설에 대한 규제)유증기 회수설비 검사 부적합--2018새올부산광역시연제구행정처분번호: 2019 - 2
9899대성환경대성환경-대표이사독배로 426,203호 (용현동)-폐기물과징금 1,000만원및 과태료(200만)2018-02-26--폐기물 처리 기준 등 위반폐기물관리법 제13조(폐기물의 처리 기준 등)---2018지자체 홈페이지인천광역시미추홀구-
99100신한운수신한운수(주)3340000-22199845360이덕남부산광역시 사하구 하신중앙로3번길 23 (장림동)부산광역시 사하구 장림동 863-2번지수질경고2018-12-20-2018-12-03법 제38조제3항에 따른 폐수배출시설 및 방지시설의 운영에 관한 관리기록을 거짓으로 기록하거나 보존ㆍ비치하지 아니한 경우물환경보전법 제38조(배출시설 및 방지시설의 운영) 제3항---2018새올부산광역시사하구행정처분번호: 2019 - 2