Overview

Dataset statistics

Number of variables9
Number of observations802
Missing cells0
Missing cells (%)0.0%
Duplicate rows253
Duplicate rows (%)31.5%
Total size in memory58.1 KiB
Average record size in memory74.2 B

Variable types

Categorical5
Text4

Dataset

Description서울특별시 종로구에 신고된 폐기물배출자 신고 현황( 사업장폐기물, 지정폐기물)에 관련된 데이터로 상호, 폐기물종류, 사업장주소 등에 대한 정보를 제공합니다.
Author서울특별시 종로구
URLhttps://www.data.go.kr/data/15080910/fileData.do

Alerts

처리구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 253 (31.5%) duplicate rowsDuplicates
업무구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 업무구분High correlation
업무구분 is highly imbalanced (55.6%)Imbalance

Reproduction

Analysis started2023-12-12 08:40:24.122141
Analysis finished2023-12-12 08:40:25.162298
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2020
620 
2021
182 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2020 620
77.3%
2021 182
 
22.7%

Length

2023-12-12T17:40:25.251521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:25.409859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 620
77.3%
2021 182
 
22.7%

업무구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
지정폐기물배출자관리
728 
사업장폐기물배출자(2-2호)
74 

Length

Max length15
Median length10
Mean length10.461347
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정폐기물배출자관리 728
90.8%
사업장폐기물배출자(2-2호) 74
 
9.2%

Length

2023-12-12T17:40:25.555398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:25.689651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정폐기물배출자관리 728
90.8%
사업장폐기물배출자(2-2호 74
 
9.2%

상호
Text

Distinct227
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-12T17:40:25.972946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length7.4002494
Min length2

Characters and Unicode

Total characters5935
Distinct characters288
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

Unique74 ?
Unique (%)9.2%

Sample

1st row개인
2nd row개인
3rd row(주)신한은행
4th row(주)신한은행
5th row(의)삼성의료재단(미래협력관)
ValueCountFrequency (%)
개인 149
 
16.2%
주식회사 42
 
4.6%
서울지방경찰청 24
 
2.6%
서울대학교병원 17
 
1.9%
서울주택도시공사 17
 
1.9%
종로구청 13
 
1.4%
우리자산신탁(주 12
 
1.3%
나이벡 10
 
1.1%
마로니에이비인후과의원 10
 
1.1%
주)유스바이오글로벌 10
 
1.1%
Other values (239) 614
66.9%
2023-12-12T17:40:26.438892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
3.7%
201
 
3.4%
199
 
3.4%
195
 
3.3%
) 185
 
3.1%
( 185
 
3.1%
161
 
2.7%
157
 
2.6%
151
 
2.5%
141
 
2.4%
Other values (278) 4140
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5414
91.2%
Close Punctuation 185
 
3.1%
Open Punctuation 185
 
3.1%
Space Separator 116
 
2.0%
Decimal Number 22
 
0.4%
Uppercase Letter 9
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
220
 
4.1%
201
 
3.7%
199
 
3.7%
195
 
3.6%
161
 
3.0%
157
 
2.9%
151
 
2.8%
141
 
2.6%
135
 
2.5%
123
 
2.3%
Other values (264) 3731
68.9%
Decimal Number
ValueCountFrequency (%)
1 6
27.3%
5 6
27.3%
0 4
18.2%
6 3
13.6%
3 2
 
9.1%
9 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
S 2
22.2%
J 2
22.2%
H 2
22.2%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5414
91.2%
Common 512
 
8.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
220
 
4.1%
201
 
3.7%
199
 
3.7%
195
 
3.6%
161
 
3.0%
157
 
2.9%
151
 
2.8%
141
 
2.6%
135
 
2.5%
123
 
2.3%
Other values (264) 3731
68.9%
Common
ValueCountFrequency (%)
) 185
36.1%
( 185
36.1%
116
22.7%
1 6
 
1.2%
5 6
 
1.2%
. 4
 
0.8%
0 4
 
0.8%
6 3
 
0.6%
3 2
 
0.4%
9 1
 
0.2%
Latin
ValueCountFrequency (%)
C 3
33.3%
S 2
22.2%
J 2
22.2%
H 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5414
91.2%
ASCII 521
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
220
 
4.1%
201
 
3.7%
199
 
3.7%
195
 
3.6%
161
 
3.0%
157
 
2.9%
151
 
2.8%
141
 
2.6%
135
 
2.5%
123
 
2.3%
Other values (264) 3731
68.9%
ASCII
ValueCountFrequency (%)
) 185
35.5%
( 185
35.5%
116
22.3%
1 6
 
1.2%
5 6
 
1.2%
. 4
 
0.8%
0 4
 
0.8%
6 3
 
0.6%
C 3
 
0.6%
3 2
 
0.4%
Other values (4) 7
 
1.3%
Distinct307
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-12T17:40:26.779033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length29.746883
Min length1

Characters and Unicode

Total characters23857
Distinct characters294
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)9.0%

Sample

1st row서울특별시 종로구 수표로18길 5 (관수동)
2nd row서울특별시 종로구 수표로18길 5 (관수동)
3rd row서울특별시 종로구 혜화로 13_ 주호빌딩 (명륜1가)
4th row서울특별시 종로구 혜화로 13_ 주호빌딩 (명륜1가)
5th row서울특별시 종로구 새문안로 29_ 강북삼성병원 (평동)
ValueCountFrequency (%)
서울특별시 789
 
16.8%
종로구 768
 
16.4%
종로 97
 
2.1%
대학로 62
 
1.3%
숭인동 50
 
1.1%
창신동 44
 
0.9%
당주동 44
 
0.9%
2층 37
 
0.8%
연건동 33
 
0.7%
세종대로23길 33
 
0.7%
Other values (620) 2729
58.2%
2023-12-12T17:40:27.339849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3902
 
16.4%
1627
 
6.8%
1140
 
4.8%
882
 
3.7%
857
 
3.6%
831
 
3.5%
804
 
3.4%
( 803
 
3.4%
) 803
 
3.4%
797
 
3.3%
Other values (284) 11411
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14631
61.3%
Space Separator 3902
 
16.4%
Decimal Number 2878
 
12.1%
Open Punctuation 803
 
3.4%
Close Punctuation 803
 
3.4%
Connector Punctuation 595
 
2.5%
Dash Punctuation 144
 
0.6%
Lowercase Letter 59
 
0.2%
Uppercase Letter 33
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1627
 
11.1%
1140
 
7.8%
882
 
6.0%
857
 
5.9%
831
 
5.7%
804
 
5.5%
797
 
5.4%
795
 
5.4%
794
 
5.4%
369
 
2.5%
Other values (244) 5735
39.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
18.2%
G 5
15.2%
T 4
12.1%
X 3
9.1%
B 3
9.1%
C 2
 
6.1%
L 2
 
6.1%
S 2
 
6.1%
H 2
 
6.1%
K 1
 
3.0%
Other values (3) 3
9.1%
Decimal Number
ValueCountFrequency (%)
1 670
23.3%
3 439
15.3%
2 408
14.2%
4 308
10.7%
5 274
9.5%
6 180
 
6.3%
8 167
 
5.8%
0 154
 
5.4%
9 150
 
5.2%
7 128
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
n 10
16.9%
o 10
16.9%
c 10
16.9%
i 9
15.3%
r 5
8.5%
d 5
8.5%
a 5
8.5%
t 3
 
5.1%
e 1
 
1.7%
s 1
 
1.7%
Space Separator
ValueCountFrequency (%)
3902
100.0%
Open Punctuation
ValueCountFrequency (%)
( 803
100.0%
Close Punctuation
ValueCountFrequency (%)
) 803
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 595
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14631
61.3%
Common 9134
38.3%
Latin 92
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1627
 
11.1%
1140
 
7.8%
882
 
6.0%
857
 
5.9%
831
 
5.7%
804
 
5.5%
797
 
5.4%
795
 
5.4%
794
 
5.4%
369
 
2.5%
Other values (244) 5735
39.2%
Latin
ValueCountFrequency (%)
n 10
10.9%
o 10
10.9%
c 10
10.9%
i 9
 
9.8%
A 6
 
6.5%
G 5
 
5.4%
r 5
 
5.4%
d 5
 
5.4%
a 5
 
5.4%
T 4
 
4.3%
Other values (13) 23
25.0%
Common
ValueCountFrequency (%)
3902
42.7%
( 803
 
8.8%
) 803
 
8.8%
1 670
 
7.3%
_ 595
 
6.5%
3 439
 
4.8%
2 408
 
4.5%
4 308
 
3.4%
5 274
 
3.0%
6 180
 
2.0%
Other values (7) 752
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14631
61.3%
ASCII 9226
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3902
42.3%
( 803
 
8.7%
) 803
 
8.7%
1 670
 
7.3%
_ 595
 
6.4%
3 439
 
4.8%
2 408
 
4.4%
4 308
 
3.3%
5 274
 
3.0%
6 180
 
2.0%
Other values (30) 844
 
9.1%
Hangul
ValueCountFrequency (%)
1627
 
11.1%
1140
 
7.8%
882
 
6.0%
857
 
5.9%
831
 
5.7%
804
 
5.5%
797
 
5.4%
795
 
5.4%
794
 
5.4%
369
 
2.5%
Other values (244) 5735
39.2%
Distinct112
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-12T17:40:27.644601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.1334165
Min length2

Characters and Unicode

Total characters5721
Distinct characters175
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)5.2%

Sample

1st row(주)네이처산업
2nd row(주)네이처산업
3rd row(주)녹색사람들
4th row(주)녹색사람들
5th row한강그린
ValueCountFrequency (%)
주)베르데산업 92
 
11.3%
남양그린(주 65
 
8.0%
주)한일위생 36
 
4.4%
주)경남실업 30
 
3.7%
진성산업개발(주 29
 
3.5%
주)삼백건설 28
 
3.4%
주)새움 28
 
3.4%
광진데코(주)-화성 26
 
3.2%
주)덕양 25
 
3.1%
에스지개발(주 25
 
3.1%
Other values (105) 433
53.0%
2023-12-12T17:40:28.098593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
640
 
11.2%
( 614
 
10.7%
) 614
 
10.7%
249
 
4.4%
203
 
3.5%
185
 
3.2%
167
 
2.9%
118
 
2.1%
105
 
1.8%
105
 
1.8%
Other values (165) 2721
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4450
77.8%
Open Punctuation 614
 
10.7%
Close Punctuation 614
 
10.7%
Dash Punctuation 26
 
0.5%
Space Separator 15
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
640
 
14.4%
249
 
5.6%
203
 
4.6%
185
 
4.2%
167
 
3.8%
118
 
2.7%
105
 
2.4%
105
 
2.4%
104
 
2.3%
95
 
2.1%
Other values (159) 2479
55.7%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 614
100.0%
Close Punctuation
ValueCountFrequency (%)
) 614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4450
77.8%
Common 1269
 
22.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
640
 
14.4%
249
 
5.6%
203
 
4.6%
185
 
4.2%
167
 
3.8%
118
 
2.7%
105
 
2.4%
105
 
2.4%
104
 
2.3%
95
 
2.1%
Other values (159) 2479
55.7%
Common
ValueCountFrequency (%)
( 614
48.4%
) 614
48.4%
- 26
 
2.0%
15
 
1.2%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4450
77.8%
ASCII 1271
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
640
 
14.4%
249
 
5.6%
203
 
4.6%
185
 
4.2%
167
 
3.8%
118
 
2.7%
105
 
2.4%
105
 
2.4%
104
 
2.3%
95
 
2.1%
Other values (159) 2479
55.7%
ASCII
ValueCountFrequency (%)
( 614
48.3%
) 614
48.3%
- 26
 
2.0%
15
 
1.2%
M 1
 
0.1%
S 1
 
0.1%

처리구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
위탁
802 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 802
100.0%

Length

2023-12-12T17:40:28.248435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:28.349816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 802
100.0%
Distinct91
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-12T17:40:28.575776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length8.5461347
Min length2

Characters and Unicode

Total characters6854
Distinct characters151
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)4.6%

Sample

1st row(주)이앤컴퍼니구미지점
2nd row(주)이앤컴퍼니구미지점
3rd row(주)진흥중공업
4th row(주)진흥중공업
5th row한강그린
ValueCountFrequency (%)
주)센트로 102
 
11.6%
에코시스템(주)구미 89
 
10.1%
주)진흥중공업 88
 
10.0%
주식회사 69
 
7.8%
주)스테리싸이클코리아 68
 
7.7%
도시환경(주 57
 
6.5%
주)디와이솔루션 49
 
5.6%
이에스지 36
 
4.1%
센트로 24
 
2.7%
주)이앤컴퍼니구미지점 22
 
2.5%
Other values (85) 275
31.3%
2023-12-12T17:40:28.945229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
758
 
11.1%
( 682
 
10.0%
) 682
 
10.0%
309
 
4.5%
272
 
4.0%
196
 
2.9%
194
 
2.8%
176
 
2.6%
147
 
2.1%
135
 
2.0%
Other values (141) 3303
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5411
78.9%
Open Punctuation 682
 
10.0%
Close Punctuation 682
 
10.0%
Space Separator 77
 
1.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
758
 
14.0%
309
 
5.7%
272
 
5.0%
196
 
3.6%
194
 
3.6%
176
 
3.3%
147
 
2.7%
135
 
2.5%
128
 
2.4%
128
 
2.4%
Other values (136) 2968
54.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 682
100.0%
Close Punctuation
ValueCountFrequency (%)
) 682
100.0%
Space Separator
ValueCountFrequency (%)
77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5411
78.9%
Common 1441
 
21.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
758
 
14.0%
309
 
5.7%
272
 
5.0%
196
 
3.6%
194
 
3.6%
176
 
3.3%
147
 
2.7%
135
 
2.5%
128
 
2.4%
128
 
2.4%
Other values (136) 2968
54.9%
Common
ValueCountFrequency (%)
( 682
47.3%
) 682
47.3%
77
 
5.3%
Latin
ValueCountFrequency (%)
S 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5411
78.9%
ASCII 1443
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
758
 
14.0%
309
 
5.7%
272
 
5.0%
196
 
3.6%
194
 
3.6%
176
 
3.3%
147
 
2.7%
135
 
2.5%
128
 
2.4%
128
 
2.4%
Other values (136) 2968
54.9%
ASCII
ValueCountFrequency (%)
( 682
47.3%
) 682
47.3%
77
 
5.3%
S 1
 
0.1%
M 1
 
0.1%

처리방법
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
매립(민간관리형매립시설)
370 
중간처분(일반소각)
230 
중간처분(고형화)
66 
재활용(중간가공폐기물 제조)
62 
재활용(연료·고형연료제품 제조)
 
24
Other values (8)
50 

Length

Max length19
Median length17
Mean length12.023691
Min length9

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row매립(민간관리형매립시설)
2nd row매립(민간관리형매립시설)
3rd row매립(민간관리형매립시설)
4th row매립(민간관리형매립시설)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
매립(민간관리형매립시설) 370
46.1%
중간처분(일반소각) 230
28.7%
중간처분(고형화) 66
 
8.2%
재활용(중간가공폐기물 제조) 62
 
7.7%
재활용(연료·고형연료제품 제조) 24
 
3.0%
재활용(직접 제품제조) 14
 
1.7%
재활용(원료 제조) 11
 
1.4%
중간처분(고온소각) 11
 
1.4%
재활용(성토재·복토재 등으로 사용) 6
 
0.7%
중간처분(파쇄.분쇄) 3
 
0.4%
Other values (3) 5
 
0.6%

Length

2023-12-12T17:40:29.120249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매립(민간관리형매립시설 370
39.9%
중간처분(일반소각 230
24.8%
제조 97
 
10.5%
중간처분(고형화 66
 
7.1%
재활용(중간가공폐기물 62
 
6.7%
재활용(연료·고형연료제품 24
 
2.6%
재활용(직접 14
 
1.5%
제품제조 14
 
1.5%
중간처분(고온소각 11
 
1.2%
재활용(원료 11
 
1.2%
Other values (8) 29
 
3.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
20210428
802 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210428
2nd row20210428
3rd row20210428
4th row20210428
5th row20210428

Common Values

ValueCountFrequency (%)
20210428 802
100.0%

Length

2023-12-12T17:40:29.327355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:40:29.487348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210428 802
100.0%

Correlations

2023-12-12T17:40:29.586659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도업무구분처리업소명처리방법
신고기준년도1.0000.1110.4900.075
업무구분0.1111.0001.0000.784
처리업소명0.4901.0001.0000.999
처리방법0.0750.7840.9991.000
2023-12-12T17:40:29.711444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법업무구분신고기준년도
처리방법1.0000.7490.070
업무구분0.7491.0000.071
신고기준년도0.0700.0711.000
2023-12-12T17:40:29.843878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도업무구분처리방법
신고기준년도1.0000.0710.070
업무구분0.0711.0000.749
처리방법0.0700.7491.000

Missing values

2023-12-12T17:40:24.895203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:40:25.090070image/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

신고기준년도업무구분상호사업장도로명주소운반자처리구분처리업소명처리방법데이터기준일자
02021지정폐기물배출자관리개인서울특별시 종로구 수표로18길 5 (관수동)(주)네이처산업위탁(주)이앤컴퍼니구미지점매립(민간관리형매립시설)20210428
12021지정폐기물배출자관리개인서울특별시 종로구 수표로18길 5 (관수동)(주)네이처산업위탁(주)이앤컴퍼니구미지점매립(민간관리형매립시설)20210428
22021지정폐기물배출자관리(주)신한은행서울특별시 종로구 혜화로 13_ 주호빌딩 (명륜1가)(주)녹색사람들위탁(주)진흥중공업매립(민간관리형매립시설)20210428
32021지정폐기물배출자관리(주)신한은행서울특별시 종로구 혜화로 13_ 주호빌딩 (명륜1가)(주)녹색사람들위탁(주)진흥중공업매립(민간관리형매립시설)20210428
42021지정폐기물배출자관리(의)삼성의료재단(미래협력관)서울특별시 종로구 새문안로 29_ 강북삼성병원 (평동)한강그린위탁한강그린재활용(중간가공폐기물 제조)20210428
52021지정폐기물배출자관리종로구청(신청사건립추진반)서울특별시 종로구 종로1길 36_ 종로구청 (수송동)진성산업개발(주)위탁(주)디와이솔루션중간처분(고형화)20210428
62021지정폐기물배출자관리종로구청(신청사건립추진반)서울특별시 종로구 종로1길 36_ 종로구청 (수송동)진성산업개발(주)위탁(주)디와이솔루션중간처분(고형화)20210428
72021지정폐기물배출자관리종로구청(신청사건립추진반)서울특별시 종로구 종로1길 36_ 종로구청 (수송동)진성산업개발(주)위탁(주)디와이솔루션중간처분(고형화)20210428
82021지정폐기물배출자관리서울지방우정청서울특별시 종로구 종로 6_ 광화문우체국 (서린동)제이에스그린(주)위탁건실업재활용(수리·수선 재사용)20210428
92021지정폐기물배출자관리서울대학교병원서울특별시 종로구 대학로 101 (연건동)아이엔지환경개발(주)위탁(주)이앤컴퍼니구미지점매립(민간관리형매립시설)20210428
신고기준년도업무구분상호사업장도로명주소운반자처리구분처리업소명처리방법데이터기준일자
7922020사업장폐기물배출자(2-2호)산청임업 주식회사서울특별시 종로구 평창6길 50 (평창동)주식회사 선용알씨위탁대성연료재활용(직접 제품제조)20210428
7932020사업장폐기물배출자(2-2호)주식회사 일림서울특별시 종로구 와룡공원길 242 (명륜3가)(주)덕정위탁(주)미송환경산업재활용(연료·고형연료제품 제조)20210428
7942020사업장폐기물배출자(2-2호)주식회사 유경건설(주)제일지앤아이위탁대성목재공업(주)재활용(중간가공폐기물 제조)20210428
7952020사업장폐기물배출자(2-2호)서울특별시도시기반시설본부서울특별시 종로구 평창문화로 101 (평창동)남양그린(주)위탁그린이엔텍(주)재활용(중간가공폐기물 제조)20210428
7962020사업장폐기물배출자(2-2호)종로구청서울특별시 종로구 삼봉로 43_ 종로구청 (수송동)도원환경(주)위탁(주)오성개발재활용(성토재·복토재 등으로 사용)20210428
7972020사업장폐기물배출자(2-2호)종로구청서울특별시 종로구 삼봉로 43_ 종로구청 (수송동)도원환경(주)위탁(주)오성개발재활용(성토재·복토재 등으로 사용)20210428
7982020사업장폐기물배출자(2-2호)회암조경(주)서울특별시 종로구 삼봉로 43_ 종로구청 (수송동)(주)유진에너지산업위탁(주)유진에너지산업재활용(직접 제품제조)20210428
7992020사업장폐기물배출자(2-2호)대창조경건설(주)서울특별시 종로구 청와대로 1 (세종로)신보림에너지(주)위탁이케이산업(주)재활용(중간가공폐기물 제조)20210428
8002020사업장폐기물배출자(2-2호)주식회사 단풍나무서울특별시 종로구 통일로 246-11 (무악동_ 무악현대아파트)(주)제일지앤아이위탁대성목재공업(주)재활용(중간가공폐기물 제조)20210428
8012020사업장폐기물배출자(2-2호)종로구청서울특별시 종로구 삼봉로 43_ 종로구청 (수송동)도원환경(주)위탁(주)오성개발재활용(성토재·복토재 등으로 사용)20210428

Duplicate rows

Most frequently occurring

신고기준년도업무구분상호사업장도로명주소운반자처리구분처리업소명처리방법데이터기준일자# duplicates
1002020지정폐기물배출자관리마로니에이비인후과의원서울특별시 종로구 대학로 128_ 4층 (동숭동)(주)한일위생위탁주식회사 이에스지중간처분(일반소각)2021042810
1722020지정폐기물배출자관리주식회사 나이벡서울특별시 종로구 율곡로 174_ 창경빌딩 11층 (원남동)(주)한일위생위탁주식회사 이에스지중간처분(일반소각)2021042810
1992021지정폐기물배출자관리(주)유스바이오글로벌서울특별시 종로구 성균관로 44_ 2층 (명륜1가)(주)비룡기업위탁(주)이에스지중간처분(일반소각)2021042810
1832020지정폐기물배출자관리한국의학연구소서울특별시 종로구 세종대로23길 54_ 세종빌딩_ 세종아파트 (당주동)(주)경남실업위탁도시환경(주)중간처분(일반소각)202104289
872020지정폐기물배출자관리네이처비뇨의학과의원서울특별시 종로구 종로 344_ 303호 (숭인동_ 종로대우디오빌)(주)한일위생위탁주식회사 이에스지중간처분(일반소각)202104288
1012020지정폐기물배출자관리맥스웰피부과의원서울특별시 종로구 종로 33_ 그랑서울 4 층 (청진동)(주)아람실업위탁(주)스테리사이클코리아중간처분(일반소각)202104288
1312020지정폐기물배출자관리서울지방경찰청서울특별시 종로구 사직로8길 31_ 서울지방경찰청 (내자동)남양그린(주)위탁(주)진흥중공업매립(민간관리형매립시설)202104288
1332020지정폐기물배출자관리서울지방경찰청서울특별시 종로구 사직로8길 31_ 서울지방경찰청 (내자동)예닮환경위탁(주)스테리싸이클코리아중간처분(일반소각)202104288
1352020지정폐기물배출자관리서울케이내과의원서울특별시 종로구 창경궁로34길 18-5_ 2_3층 (명륜2가)(주)경남실업위탁도시환경(주)중간처분(일반소각)202104288
1572020지정폐기물배출자관리이지스의원서울특별시 종로구 세종대로23길 54_ 세종빌딩_ 세종아파트 10층 2호 (당주동)(주)경남실업위탁도시환경(주)중간처분(일반소각)202104288