Overview

Dataset statistics

Number of variables15
Number of observations205
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.4 KiB
Average record size in memory121.6 B

Variable types

Numeric1
Text5
Categorical7
DateTime2

Dataset

Description「폐기물관리법」 시행규칙 제18조제1항에 따라 ① 「대기환경보전법」, 「물환경보전법」 또는 「소음·진동관리법」에 따른 배출시설을 설치·운영하는 자로서 폐기물을 1일 평균 100킬로그램 이상 배출하는자, ② 「폐기물관리법」 시행령 제2조제1호부터 제5호까지의 시설을 설치·운영하는 자로서 폐기물을 1일 평균 100킬로그램 이상 배출하는자, ③ 폐기물을 1일 평균 300킬로그램 이상 배출하는 자가 사업장폐기물배출자 신고에 대한 현황 자료임.
Author충청남도 청양군
URLhttps://www.data.go.kr/data/15060144/fileData.do

Alerts

업무구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전 화 번 호 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
사업자 등록번호 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
사업장지번주소 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
처리방법 is highly overall correlated with 폐기물자가처리방법High correlation
폐기물자가처리방법 is highly overall correlated with 처리방법High correlation
순번 is highly overall correlated with 사업자 등록번호 and 3 other fieldsHigh correlation
폐기물구분 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:54:17.476610
Analysis finished2023-12-12 21:54:19.481989
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103
Minimum1
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T06:54:19.552993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.2
Q152
median103
Q3154
95-th percentile194.8
Maximum205
Range204
Interquartile range (IQR)102

Descriptive statistics

Standard deviation59.322565
Coefficient of variation (CV)0.57594723
Kurtosis-1.2
Mean103
Median Absolute Deviation (MAD)51
Skewness0
Sum21115
Variance3519.1667
MonotonicityStrictly increasing
2023-12-13T06:54:19.701176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
142 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
136 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
Other values (195) 195
95.1%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
205 1
0.5%
204 1
0.5%
203 1
0.5%
202 1
0.5%
201 1
0.5%
200 1
0.5%
199 1
0.5%
198 1
0.5%
197 1
0.5%
196 1
0.5%
Distinct54
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T06:54:19.937658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length9.3902439
Min length2

Characters and Unicode

Total characters1925
Distinct characters127
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

Unique22 ?
Unique (%)10.7%

Sample

1st row청흥버섯영농조합법인
2nd row뉴콘
3rd row뉴콘
4th row청양군청
5th row(사)운곡2산업단지운영협의회
ValueCountFrequency (%)
청양군청 20
 
8.0%
주)으뜸농산 16
 
6.4%
애경케미칼 14
 
5.6%
주식회사 14
 
5.6%
청양1공장 14
 
5.6%
애경케미칼(주)청양2공장 14
 
5.6%
환경시설관리주식회사 13
 
5.2%
매일유업(주)청양공장 12
 
4.8%
애경산업(주 9
 
3.6%
주)보민환경 8
 
3.2%
Other values (53) 115
46.2%
2023-12-13T06:54:20.395083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
 
7.8%
( 132
 
6.9%
) 132
 
6.9%
109
 
5.7%
94
 
4.9%
63
 
3.3%
61
 
3.2%
54
 
2.8%
53
 
2.8%
51
 
2.6%
Other values (117) 1025
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1585
82.3%
Open Punctuation 132
 
6.9%
Close Punctuation 132
 
6.9%
Space Separator 44
 
2.3%
Decimal Number 29
 
1.5%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
151
 
9.5%
109
 
6.9%
94
 
5.9%
63
 
4.0%
61
 
3.8%
54
 
3.4%
53
 
3.3%
51
 
3.2%
48
 
3.0%
40
 
2.5%
Other values (111) 861
54.3%
Decimal Number
ValueCountFrequency (%)
2 15
51.7%
1 14
48.3%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
82.5%
Common 337
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
151
 
9.5%
109
 
6.9%
94
 
5.9%
63
 
4.0%
61
 
3.8%
54
 
3.4%
53
 
3.3%
51
 
3.2%
48
 
3.0%
40
 
2.5%
Other values (112) 864
54.4%
Common
ValueCountFrequency (%)
( 132
39.2%
) 132
39.2%
44
 
13.1%
2 15
 
4.5%
1 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1585
82.3%
ASCII 337
 
17.5%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
151
 
9.5%
109
 
6.9%
94
 
5.9%
63
 
4.0%
61
 
3.8%
54
 
3.4%
53
 
3.3%
51
 
3.2%
48
 
3.0%
40
 
2.5%
Other values (111) 861
54.3%
ASCII
ValueCountFrequency (%)
( 132
39.2%
) 132
39.2%
44
 
13.1%
2 15
 
4.5%
1 14
 
4.2%
None
ValueCountFrequency (%)
3
100.0%

사업자 등록번호
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
113-86-63305
28 
307-83-01257
24 
307-81-17793
16 
339-81-01041
13 
307-85-02513
 
9
Other values (42)
115 

Length

Max length12
Median length12
Mean length11.726829
Min length4

Unique

Unique17 ?
Unique (%)8.3%

Sample

1st row307-81-08106
2nd row438-81-00636
3rd row438-81-00636
4th row307-83-01257
5th row310-82-06756

Common Values

ValueCountFrequency (%)
113-86-63305 28
 
13.7%
307-83-01257 24
 
11.7%
307-81-17793 16
 
7.8%
339-81-01041 13
 
6.3%
307-85-02513 9
 
4.4%
844-81-00466 9
 
4.4%
310-81-18099 8
 
3.9%
310-85-12375 8
 
3.9%
307-81-05152 7
 
3.4%
<NA> 7
 
3.4%
Other values (37) 76
37.1%

Length

2023-12-13T06:54:20.565555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
113-86-63305 28
 
13.7%
307-83-01257 24
 
11.7%
307-81-17793 16
 
7.8%
339-81-01041 13
 
6.3%
307-85-02513 9
 
4.4%
844-81-00466 9
 
4.4%
310-81-18099 8
 
3.9%
310-85-12375 8
 
3.9%
na 7
 
3.4%
307-81-05152 7
 
3.4%
Other values (37) 76
37.1%

전 화 번 호
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
88 
041-943-9381
13 
041-940-3472
041-940-5210
041-942-2911
 
8
Other values (34)
78 

Length

Max length13
Median length12
Mean length8.5658537
Min length4

Unique

Unique18 ?
Unique (%)8.8%

Sample

1st row041-943-4973
2nd row<NA>
3rd row<NA>
4th row041-940-4826
5th row041-942-7474

Common Values

ValueCountFrequency (%)
<NA> 88
42.9%
041-943-9381 13
 
6.3%
041-940-3472 9
 
4.4%
041-940-5210 9
 
4.4%
041-942-2911 8
 
3.9%
041-943-7436 8
 
3.9%
041-943-6681 7
 
3.4%
041-943-6670 5
 
2.4%
041-943-4482 5
 
2.4%
041-942-0707 5
 
2.4%
Other values (29) 48
23.4%

Length

2023-12-13T06:54:20.716113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 88
42.5%
041-943-9381 13
 
6.3%
041-940-3472 9
 
4.3%
041-940-5210 9
 
4.3%
041-942-2911 8
 
3.9%
041-943-7436 8
 
3.9%
041-943-6681 7
 
3.4%
041-943-4482 5
 
2.4%
041-942-0707 5
 
2.4%
041-943-6670 5
 
2.4%
Other values (31) 50
24.2%
Distinct60
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1995-02-05 00:00:00
Maximum2022-04-14 00:00:00
2023-12-13T06:54:20.875851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:54:21.020250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐기물구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
배출시설계
153 
24 
생활계
 
14
비배출시설계
 
12
<NA>
 
2

Length

Max length6
Median length5
Mean length4.4439024
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배출시설계
2nd row생활계
3rd row배출시설계
4th row배출시설계
5th row배출시설계

Common Values

ValueCountFrequency (%)
배출시설계 153
74.6%
24
 
11.7%
생활계 14
 
6.8%
비배출시설계 12
 
5.9%
<NA> 2
 
1.0%

Length

2023-12-13T06:54:21.158839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:54:21.280750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출시설계 153
84.5%
생활계 14
 
7.7%
비배출시설계 12
 
6.6%
na 2
 
1.1%
Distinct55
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T06:54:21.562395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length38
Mean length10.941463
Min length1

Characters and Unicode

Total characters2243
Distinct characters134
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)14.6%

Sample

1st row그 밖의 식물성잔재물
2nd row폐콘크리트
3rd row그 밖의 공정오니
4th row그 밖의 폐목재류
5th row그 밖의 폐수처리오니
ValueCountFrequency (%)
61
14.6%
밖의 61
14.6%
폐합성수지류(폐염화비닐수지류는 36
 
8.6%
제외한다 36
 
8.6%
폐수처리오니 28
 
6.7%
폐합성수지류 20
 
4.8%
식물성잔재물 12
 
2.9%
폐기물 11
 
2.6%
공정오니 9
 
2.2%
폐콘크리트 9
 
2.2%
Other values (81) 135
32.3%
2023-12-13T06:54:21.953946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
9.8%
205
 
9.1%
133
 
5.9%
117
 
5.2%
98
 
4.4%
88
 
3.9%
71
 
3.2%
62
 
2.8%
61
 
2.7%
61
 
2.7%
Other values (124) 1128
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1936
86.3%
Space Separator 219
 
9.8%
Open Punctuation 43
 
1.9%
Close Punctuation 43
 
1.9%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
205
 
10.6%
133
 
6.9%
117
 
6.0%
98
 
5.1%
88
 
4.5%
71
 
3.7%
62
 
3.2%
61
 
3.2%
61
 
3.2%
59
 
3.0%
Other values (120) 981
50.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1936
86.3%
Common 307
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
205
 
10.6%
133
 
6.9%
117
 
6.0%
98
 
5.1%
88
 
4.5%
71
 
3.7%
62
 
3.2%
61
 
3.2%
61
 
3.2%
59
 
3.0%
Other values (120) 981
50.7%
Common
ValueCountFrequency (%)
219
71.3%
( 43
 
14.0%
) 43
 
14.0%
_ 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1931
86.1%
ASCII 307
 
13.7%
Compat Jamo 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
71.3%
( 43
 
14.0%
) 43
 
14.0%
_ 2
 
0.7%
Hangul
ValueCountFrequency (%)
205
 
10.6%
133
 
6.9%
117
 
6.1%
98
 
5.1%
88
 
4.6%
71
 
3.7%
62
 
3.2%
61
 
3.2%
61
 
3.2%
59
 
3.1%
Other values (119) 976
50.5%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
Distinct110
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T06:54:22.150600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length7.0926829
Min length1

Characters and Unicode

Total characters1454
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)33.7%

Sample

1st row(주)전국로지스
2nd row더블유아이케이환경(주)
3rd row더블유아이케이환경(주)
4th row지씨테크(주)공주공장
5th row(주)건영종합환경
ValueCountFrequency (%)
주)태건환경건설 12
 
5.6%
주)보은산업 9
 
4.2%
주)보민환경 7
 
3.3%
상록수환경(주 6
 
2.8%
신한환경(주 6
 
2.8%
유영산업 6
 
2.8%
진도산업 5
 
2.3%
하얀환경개발(주 5
 
2.3%
지씨테크(주)공주공장 4
 
1.9%
유림환경(합 4
 
1.9%
Other values (106) 150
70.1%
2023-12-13T06:54:22.794218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 149
 
10.2%
) 149
 
10.2%
141
 
9.7%
96
 
6.6%
90
 
6.2%
44
 
3.0%
43
 
3.0%
28
 
1.9%
25
 
1.7%
21
 
1.4%
Other values (160) 668
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1126
77.4%
Open Punctuation 149
 
10.2%
Close Punctuation 149
 
10.2%
Space Separator 19
 
1.3%
Connector Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
 
12.5%
96
 
8.5%
90
 
8.0%
44
 
3.9%
43
 
3.8%
28
 
2.5%
25
 
2.2%
21
 
1.9%
21
 
1.9%
17
 
1.5%
Other values (149) 600
53.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
N 1
33.3%
E 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
p 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1126
77.4%
Common 323
 
22.2%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
12.5%
96
 
8.5%
90
 
8.0%
44
 
3.9%
43
 
3.8%
28
 
2.5%
25
 
2.2%
21
 
1.9%
21
 
1.9%
17
 
1.5%
Other values (149) 600
53.3%
Common
ValueCountFrequency (%)
( 149
46.1%
) 149
46.1%
19
 
5.9%
_ 3
 
0.9%
- 2
 
0.6%
& 1
 
0.3%
Latin
ValueCountFrequency (%)
G 1
20.0%
N 1
20.0%
E 1
20.0%
s 1
20.0%
p 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1126
77.4%
ASCII 328
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 149
45.4%
) 149
45.4%
19
 
5.8%
_ 3
 
0.9%
- 2
 
0.6%
G 1
 
0.3%
N 1
 
0.3%
E 1
 
0.3%
s 1
 
0.3%
& 1
 
0.3%
Hangul
ValueCountFrequency (%)
141
 
12.5%
96
 
8.5%
90
 
8.0%
44
 
3.9%
43
 
3.8%
28
 
2.5%
25
 
2.2%
21
 
1.9%
21
 
1.9%
17
 
1.5%
Other values (149) 600
53.3%
Distinct141
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T06:54:23.070887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length7.7902439
Min length1

Characters and Unicode

Total characters1597
Distinct characters188
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)53.7%

Sample

1st row(주)바이오에너텍
2nd row더블유아이케이환경(주)
3rd row더블유아이케이환경(주)
4th row지씨테크(주)공주공장
5th row신기산업(주)
ValueCountFrequency (%)
신기산업(주 7
 
3.3%
주)보민환경 7
 
3.3%
주)이에스세종 5
 
2.4%
주)서광하이테크 4
 
1.9%
주)엔이티 4
 
1.9%
주)그린환경기술 4
 
1.9%
주)조양 4
 
1.9%
지씨테크(주)공주공장 4
 
1.9%
주)케이비아이국인산업 4
 
1.9%
주)엔아이티 3
 
1.4%
Other values (139) 165
78.2%
2023-12-13T06:54:23.494790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
10.1%
( 160
 
10.0%
) 160
 
10.0%
73
 
4.6%
43
 
2.7%
40
 
2.5%
38
 
2.4%
38
 
2.4%
35
 
2.2%
34
 
2.1%
Other values (178) 814
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1241
77.7%
Open Punctuation 160
 
10.0%
Close Punctuation 160
 
10.0%
Space Separator 18
 
1.1%
Uppercase Letter 7
 
0.4%
Connector Punctuation 6
 
0.4%
Lowercase Letter 2
 
0.1%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
162
 
13.1%
73
 
5.9%
43
 
3.5%
40
 
3.2%
38
 
3.1%
38
 
3.1%
35
 
2.8%
34
 
2.7%
22
 
1.8%
22
 
1.8%
Other values (164) 734
59.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
K 2
28.6%
G 1
14.3%
N 1
14.3%
E 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
s 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Decimal Number
ValueCountFrequency (%)
9 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1241
77.7%
Common 347
 
21.7%
Latin 9
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
162
 
13.1%
73
 
5.9%
43
 
3.5%
40
 
3.2%
38
 
3.1%
38
 
3.1%
35
 
2.8%
34
 
2.7%
22
 
1.8%
22
 
1.8%
Other values (164) 734
59.1%
Common
ValueCountFrequency (%)
( 160
46.1%
) 160
46.1%
18
 
5.2%
_ 6
 
1.7%
9 1
 
0.3%
- 1
 
0.3%
& 1
 
0.3%
Latin
ValueCountFrequency (%)
M 2
22.2%
K 2
22.2%
G 1
11.1%
N 1
11.1%
E 1
11.1%
p 1
11.1%
s 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1241
77.7%
ASCII 356
 
22.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
162
 
13.1%
73
 
5.9%
43
 
3.5%
40
 
3.2%
38
 
3.1%
38
 
3.1%
35
 
2.8%
34
 
2.7%
22
 
1.8%
22
 
1.8%
Other values (164) 734
59.1%
ASCII
ValueCountFrequency (%)
( 160
44.9%
) 160
44.9%
18
 
5.1%
_ 6
 
1.7%
M 2
 
0.6%
K 2
 
0.6%
G 1
 
0.3%
N 1
 
0.3%
E 1
 
0.3%
p 1
 
0.3%
Other values (4) 4
 
1.1%

처리방법
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중간처분(일반소각)
37 
재활용(중간가공폐기물 제조)
22 
매립(민간관리형매립시설)
21 
재활용(토질개선에 사용)
19 
재활용(연료·고형연료제품 제조)
16 
Other values (22)
90 

Length

Max length17
Median length15
Mean length11.458537
Min length1

Unique

Unique6 ?
Unique (%)2.9%

Sample

1st row재활용(연료·고형연료제품 제조)
2nd row중간처분(파쇄.분쇄)
3rd row중간처분(탈수.건조)
4th row재활용(연료·고형연료제품 제조)
5th row재활용(토질개선에 사용)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 37
18.0%
재활용(중간가공폐기물 제조) 22
10.7%
매립(민간관리형매립시설) 21
10.2%
재활용(토질개선에 사용) 19
9.3%
재활용(연료·고형연료제품 제조) 16
7.8%
재활용(원료 제조) 15
7.3%
중간처분(파쇄.분쇄) 11
 
5.4%
재활용(농업생산활동에 사용) 10
 
4.9%
재활용(직접 제품제조) 10
 
4.9%
재활용(파쇄.분쇄) 9
 
4.4%
Other values (17) 35
17.1%

Length

2023-12-13T06:54:23.628568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 53
17.8%
중간처분(일반소각 37
12.5%
사용 29
9.8%
재활용(중간가공폐기물 22
 
7.4%
매립(민간관리형매립시설 21
 
7.1%
재활용(토질개선에 19
 
6.4%
재활용(연료·고형연료제품 16
 
5.4%
재활용(원료 15
 
5.1%
중간처분(파쇄.분쇄 11
 
3.7%
재활용(직접 11
 
3.7%
Other values (20) 63
21.2%
Distinct51
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T06:54:23.817653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length22.780488
Min length1

Characters and Unicode

Total characters4670
Distinct characters89
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

Unique21 ?
Unique (%)10.2%

Sample

1st row충청남도 청양군 청남면 솔모루길 63-1
2nd row충청남도 청양군 정산면 충의로 1183-19
3rd row충청남도 청양군 정산면 충의로 1183-19
4th row충청남도 청양군 청양읍 문화예술로 222_ 청양군청
5th row충청남도 청양군 운곡면 신대길 14-2
ValueCountFrequency (%)
충청남도 198
19.5%
청양군 198
19.5%
청양읍 63
 
6.2%
정산면 53
 
5.2%
충의로 49
 
4.8%
비봉면 39
 
3.8%
작은한술길 30
 
3.0%
충절로 26
 
2.6%
222 22
 
2.2%
문화예술로 22
 
2.2%
Other values (81) 316
31.1%
2023-12-13T06:54:24.149194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
817
17.5%
479
 
10.3%
273
 
5.8%
271
 
5.8%
213
 
4.6%
199
 
4.3%
198
 
4.2%
2 168
 
3.6%
141
 
3.0%
- 139
 
3.0%
Other values (79) 1772
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2795
59.9%
Decimal Number 884
 
18.9%
Space Separator 817
 
17.5%
Dash Punctuation 139
 
3.0%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Uppercase Letter 9
 
0.2%
Connector Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
479
17.1%
273
 
9.8%
271
 
9.7%
213
 
7.6%
199
 
7.1%
198
 
7.1%
141
 
5.0%
135
 
4.8%
64
 
2.3%
63
 
2.3%
Other values (61) 759
27.2%
Decimal Number
ValueCountFrequency (%)
2 168
19.0%
5 128
14.5%
1 127
14.4%
4 118
13.3%
6 85
9.6%
3 66
 
7.5%
7 64
 
7.2%
8 52
 
5.9%
9 50
 
5.7%
0 26
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
M 3
33.3%
D 3
33.3%
A 3
33.3%
Space Separator
ValueCountFrequency (%)
817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2795
59.9%
Common 1866
40.0%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
479
17.1%
273
 
9.8%
271
 
9.7%
213
 
7.6%
199
 
7.1%
198
 
7.1%
141
 
5.0%
135
 
4.8%
64
 
2.3%
63
 
2.3%
Other values (61) 759
27.2%
Common
ValueCountFrequency (%)
817
43.8%
2 168
 
9.0%
- 139
 
7.4%
5 128
 
6.9%
1 127
 
6.8%
4 118
 
6.3%
6 85
 
4.6%
3 66
 
3.5%
7 64
 
3.4%
8 52
 
2.8%
Other values (5) 102
 
5.5%
Latin
ValueCountFrequency (%)
M 3
33.3%
D 3
33.3%
A 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2795
59.9%
ASCII 1875
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
817
43.6%
2 168
 
9.0%
- 139
 
7.4%
5 128
 
6.8%
1 127
 
6.8%
4 118
 
6.3%
6 85
 
4.5%
3 66
 
3.5%
7 64
 
3.4%
8 52
 
2.8%
Other values (8) 111
 
5.9%
Hangul
ValueCountFrequency (%)
479
17.1%
273
 
9.8%
271
 
9.7%
213
 
7.6%
199
 
7.1%
198
 
7.1%
141
 
5.0%
135
 
4.8%
64
 
2.3%
63
 
2.3%
Other values (61) 759
27.2%

사업장지번주소
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
25 
충청남도 청양군 청양읍 송방리 100
21 
충청남도 청양군 비봉면 방한리 99
17 
충청남도 청양군 정산면 역촌리 675
14 
충청남도 청양군 정산면 역촌리 625
14 
Other values (44)
114 

Length

Max length34
Median length26
Mean length19.063415
Min length1

Unique

Unique22 ?
Unique (%)10.7%

Sample

1st row충청남도 청양군 청남면 대흥리 458
2nd row충청남도 청양군 정산면 신덕리 154-1
3rd row충청남도 청양군 정산면 신덕리 154-1
4th row충청남도 청양군 청양읍 송방리 100 청양군청
5th row충청남도 청양군 운곡면 신대리 781

Common Values

ValueCountFrequency (%)
25
 
12.2%
충청남도 청양군 청양읍 송방리 100 21
 
10.2%
충청남도 청양군 비봉면 방한리 99 17
 
8.3%
충청남도 청양군 정산면 역촌리 675 14
 
6.8%
충청남도 청양군 정산면 역촌리 625 14
 
6.8%
충청남도 청양군 청양읍 학당리 360-4 12
 
5.9%
충청남도 청양군 정산면 역촌리 671 9
 
4.4%
충청남도 청양군 청양읍 정좌리 129-1 9
 
4.4%
충청남도 청양군 운곡면 신대리 793 8
 
3.9%
충청남도 청양군 청양읍 적누리 237 5
 
2.4%
Other values (39) 71
34.6%

Length

2023-12-13T06:54:24.278969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 175
19.5%
청양군 175
19.5%
청양읍 62
 
6.9%
정산면 47
 
5.2%
역촌리 40
 
4.4%
비봉면 27
 
3.0%
방한리 26
 
2.9%
송방리 23
 
2.6%
100 22
 
2.4%
학당리 18
 
2.0%
Other values (77) 284
31.6%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사업장폐기물배출자(2호)
205 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업장폐기물배출자(2호)
2nd row사업장폐기물배출자(2호)
3rd row사업장폐기물배출자(2호)
4th row사업장폐기물배출자(2호)
5th row사업장폐기물배출자(2호)

Common Values

ValueCountFrequency (%)
사업장폐기물배출자(2호) 205
100.0%

Length

2023-12-13T06:54:24.388354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:54:24.473306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물배출자(2호 205
100.0%

폐기물자가처리방법
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중간처분(일반소각)
36 
매립(민간관리형매립시설)
21 
재활용(토질개선에 사용)
19 
재활용(연료·고형연료제품 제조)
16 
재활용(중간가공폐기물 제조)
16 
Other values (30)
97 

Length

Max length17
Median length15
Mean length11.204878
Min length1

Unique

Unique14 ?
Unique (%)6.8%

Sample

1st row재활용(연료·고형연료제품 제조)
2nd row중간처분(파쇄.분쇄)
3rd row중간처분(탈수.건조)
4th row재활용(연료·고형연료제품 제조)
5th row재활용(토질개선에 사용)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 36
17.6%
매립(민간관리형매립시설) 21
10.2%
재활용(토질개선에 사용) 19
9.3%
재활용(연료·고형연료제품 제조) 16
 
7.8%
재활용(중간가공폐기물 제조) 16
 
7.8%
재활용(원료 제조) 14
 
6.8%
중간처분(파쇄.분쇄) 11
 
5.4%
재활용(직접 제품제조) 10
 
4.9%
재활용(농업생산활동에 사용) 10
 
4.9%
재활용(파쇄.분쇄) 9
 
4.4%
Other values (25) 43
21.0%

Length

2023-12-13T06:54:24.590715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 46
15.8%
중간처분(일반소각 36
12.3%
사용 29
 
9.9%
매립(민간관리형매립시설 21
 
7.2%
재활용(토질개선에 19
 
6.5%
재활용(연료·고형연료제품 16
 
5.5%
재활용(중간가공폐기물 16
 
5.5%
재활용(원료 14
 
4.8%
중간처분(파쇄.분쇄 11
 
3.8%
재활용(직접 11
 
3.8%
Other values (29) 73
25.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-09-20 00:00:00
Maximum2023-09-20 00:00:00
2023-12-13T06:54:24.699622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:54:24.788787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:54:19.017603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:54:24.866653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상 호사업자 등록번호전 화 번 호신고폐기물구분폐기물 종류처리방법사업장도로명주소사업장지번주소폐기물자가처리방법
순번1.0000.9820.9680.9890.9910.7630.7340.5910.9820.9690.631
상 호0.9821.0001.0000.9990.9990.9520.9200.9341.0000.9990.859
사업자 등록번호0.9681.0001.0001.0000.9990.9130.8460.8710.9990.9980.808
전 화 번 호0.9890.9991.0001.0001.0000.9840.9230.8730.9990.9990.720
신고0.9910.9990.9991.0001.0000.9920.9510.9200.9991.0000.863
폐기물구분0.7630.9520.9130.9840.9921.0000.8600.7120.9210.9590.699
폐기물 종류0.7340.9200.8460.9230.9510.8601.0000.9770.9070.9010.967
처리방법0.5910.9340.8710.8730.9200.7120.9771.0000.8390.8741.000
사업장도로명주소0.9821.0000.9990.9990.9990.9210.9070.8391.0000.9990.705
사업장지번주소0.9690.9990.9980.9991.0000.9590.9010.8740.9991.0000.799
폐기물자가처리방법0.6310.8590.8080.7200.8630.6990.9671.0000.7050.7991.000
2023-12-13T06:54:24.989407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분전 화 번 호사업자 등록번호사업장지번주소처리방법폐기물자가처리방법
폐기물구분1.0000.7740.6350.6900.4320.402
전 화 번 호0.7741.0000.9700.9390.3670.207
사업자 등록번호0.6350.9701.0000.8900.3470.259
사업장지번주소0.6900.9390.8901.0000.3430.245
처리방법0.4320.3670.3470.3431.0000.977
폐기물자가처리방법0.4020.2070.2590.2450.9771.000
2023-12-13T06:54:25.103562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업자 등록번호전 화 번 호폐기물구분처리방법사업장지번주소폐기물자가처리방법
순번1.0000.7100.7830.5610.2470.7120.253
사업자 등록번호0.7101.0000.9700.6350.3470.8900.259
전 화 번 호0.7830.9701.0000.7740.3670.9390.207
폐기물구분0.5610.6350.7741.0000.4320.6900.402
처리방법0.2470.3470.3670.4321.0000.3430.977
사업장지번주소0.7120.8900.9390.6900.3431.0000.245
폐기물자가처리방법0.2530.2590.2070.4020.9770.2451.000

Missing values

2023-12-13T06:54:19.211942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:54:19.404401image/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

순번상 호사업자 등록번호전 화 번 호신고폐기물구분폐기물 종류운 반 자처리업소명처리방법사업장도로명주소사업장지번주소업무구분폐기물자가처리방법데이터기준일자
01청흥버섯영농조합법인307-81-08106041-943-49732022-04-14배출시설계그 밖의 식물성잔재물(주)전국로지스(주)바이오에너텍재활용(연료·고형연료제품 제조)충청남도 청양군 청남면 솔모루길 63-1충청남도 청양군 청남면 대흥리 458사업장폐기물배출자(2호)재활용(연료·고형연료제품 제조)2023-09-20
12뉴콘438-81-00636<NA>2022-03-17생활계폐콘크리트더블유아이케이환경(주)더블유아이케이환경(주)중간처분(파쇄.분쇄)충청남도 청양군 정산면 충의로 1183-19충청남도 청양군 정산면 신덕리 154-1사업장폐기물배출자(2호)중간처분(파쇄.분쇄)2023-09-20
23뉴콘438-81-00636<NA>2022-03-17배출시설계그 밖의 공정오니더블유아이케이환경(주)더블유아이케이환경(주)중간처분(탈수.건조)충청남도 청양군 정산면 충의로 1183-19충청남도 청양군 정산면 신덕리 154-1사업장폐기물배출자(2호)중간처분(탈수.건조)2023-09-20
34청양군청307-83-01257041-940-48262022-01-14배출시설계그 밖의 폐목재류지씨테크(주)공주공장지씨테크(주)공주공장재활용(연료·고형연료제품 제조)충청남도 청양군 청양읍 문화예술로 222_ 청양군청충청남도 청양군 청양읍 송방리 100 청양군청사업장폐기물배출자(2호)재활용(연료·고형연료제품 제조)2023-09-20
45(사)운곡2산업단지운영협의회310-82-06756041-942-74742021-02-18배출시설계그 밖의 폐수처리오니(주)건영종합환경신기산업(주)재활용(토질개선에 사용)충청남도 청양군 운곡면 신대길 14-2충청남도 청양군 운곡면 신대리 781사업장폐기물배출자(2호)재활용(토질개선에 사용)2023-09-20
56케이씨환경서비스㈜바이오매스사업부청양사업소495-85-01960041-942-72342020-10-23배출시설계그 밖의 공정오니유한회사 동화환경(주)엔아이티중간처분(일반소각)충청남도 청양군 비봉면 작은한술길 48-44충청남도 청양군 비봉면 방한리 89사업장폐기물배출자(2호)중간처분(일반소각)2023-09-20
67케이씨환경서비스㈜바이오매스사업부청양사업소495-85-01960041-942-72342020-10-23배출시설계그 밖의 공정오니(주)태건환경건설동남바이오농장재활용(토질개선에 사용)충청남도 청양군 비봉면 작은한술길 48-44충청남도 청양군 비봉면 방한리 89사업장폐기물배출자(2호)재활용(토질개선에 사용)2023-09-20
78케이씨환경서비스㈜바이오매스사업부청양사업소495-85-01960041-942-72342021-11-03배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)(주)태건환경건설세종스틸환경(주)재활용(중간가공폐기물 제조)충청남도 청양군 비봉면 작은한술길 48-44충청남도 청양군 비봉면 방한리 89사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2023-09-20
89(주)남영산업 청양지점467-85-01325041-944-00892020-09-24생활계폐콘크리트(주)보민환경(주)보민환경중간처분(파쇄.분쇄)충청남도 청양군 청양읍 충절로 1259-132충청남도 청양군 청양읍 학당리 607-5사업장폐기물배출자(2호)중간처분(파쇄.분쇄)2023-09-20
910의료법인 가온의료재단310-82-06101041-942-66002020-01-23생활계그 밖의 폐섬유(주)재경상사(주)그린환경기술중간처분(일반소각)충청남도 청양군 청양읍 중앙로 151충청남도 청양군 청양읍 읍내리 221-4사업장폐기물배출자(2호)중간처분(일반소각)2023-09-20
순번상 호사업자 등록번호전 화 번 호신고폐기물구분폐기물 종류운 반 자처리업소명처리방법사업장도로명주소사업장지번주소업무구분폐기물자가처리방법데이터기준일자
195196애경케미칼 주식회사 청양1공장113-86-63305<NA>1996-02-05배출시설계폐수처리오니(주)보은산업영주산업(주)재활용(직접 제품제조)충청남도 청양군 정산면 충의로 1547-64충청남도 청양군 정산면 역촌리 675사업장폐기물배출자(2호)재활용(직접 제품제조)2023-09-20
196197애경산업(주)307-85-02513041-940-34721995-02-05배출시설계그 밖의 폐수처리오니(주)상훈환경(주)이도이엔티재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)(주)이도이엔티2023-09-20
197198애경산업(주)307-85-02513041-940-34721995-02-05배출시설계그 밖의 공정오니신월이엔지신월이엔지재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)신월이엔지2023-09-20
198199애경산업(주)307-85-02513041-940-34721995-02-05배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)전국환경전국환경재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)전국환경2023-09-20
199200애경산업(주)307-85-02513041-940-34721995-02-05배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)전국환경이에스지세종재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)이에스지세종2023-09-20
200201애경산업(주)307-85-02513041-940-34721995-02-05배출시설계그 밖의 폐기물하나환경신대한정유산업(주)중간처분(고온소각)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)신대한정유산업(주)2023-09-20
201202애경산업(주)307-85-02513041-940-34721995-02-05배출시설계폐수처리오니꿈에 그린(주)꿈에 그린(주)지점재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)꿈에 그린(주)지점2023-09-20
202203애경산업(주)307-85-02513041-940-34721995-02-05배출시설계폐수처리오니꿈에 그린(주)꿈에 그린(주)지점재활용(중간가공폐기물 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)꿈에 그린(주)지점2023-09-20
203204애경산업(주)307-85-02513041-940-34721995-02-05배출시설계그 밖의 폐기물하나환경(주)뉴그린중간처분(일반소각)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)(주)뉴그린2023-09-20
204205애경산업(주)307-85-02513041-940-34721995-02-05배출시설계폐분말소화기(주)송학환경개발(주)송학환경개발재활용(원료 제조)충청남도 청양군 정산면 충의로 1547-9충청남도 청양군 정산면 역촌리 671사업장폐기물배출자(2호)(주)송학환경개발2023-09-20