Overview

Dataset statistics

Number of variables11
Number of observations1034
Missing cells502
Missing cells (%)4.4%
Duplicate rows248
Duplicate rows (%)24.0%
Total size in memory89.0 KiB
Average record size in memory88.1 B

Variable types

Categorical2
Text9

Dataset

Description서울특별시 영등포구 관내 사업장 폐기물 배출자 신고 현황 데이터 입니다. 폐기물구분, 상호, 폐기물종류, 사업자등록번호, 전화번호, 처리업소명, 사업장주소, 신고일 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15081011/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 248 (24.0%) duplicate rowsDuplicates
사업자등록번호 has 126 (12.2%) missing valuesMissing
전화번호 has 376 (36.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 12:38:20.683033
Analysis finished2023-12-12 12:38:22.102075
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물 구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
지정폐기물
759 
비배출시설계
188 
배출시설계
87 

Length

Max length6
Median length5
Mean length5.1818182
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정폐기물 759
73.4%
비배출시설계 188
 
18.2%
배출시설계 87
 
8.4%

Length

2023-12-12T21:38:22.176017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:38:22.308337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정폐기물 759
73.4%
비배출시설계 188
 
18.2%
배출시설계 87
 
8.4%

상호
Text

Distinct304
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:22.617010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.983559
Min length2

Characters and Unicode

Total characters9289
Distinct characters352
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

Unique78 ?
Unique (%)7.5%

Sample

1st row페어필드바이메리어트서울
2nd row페어필드바이메리어트서울
3rd row이지스제400호부동산일반사모투자회사
4th row이지스제400호부동산일반사모투자회사
5th row이지스제400호부동산일반사모투자회사
ValueCountFrequency (%)
개인 89
 
6.7%
주식회사 77
 
5.8%
롯데웰푸드(주 38
 
2.9%
대한적십자사 20
 
1.5%
주)경방 20
 
1.5%
헌혈의집 20
 
1.5%
남부교육지원청 18
 
1.4%
한국방송공사 18
 
1.4%
삼성필정형외과의원 12
 
0.9%
주)한화63시티 12
 
0.9%
Other values (343) 998
75.5%
2023-12-12T21:38:23.193900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 399
 
4.3%
) 357
 
3.8%
( 353
 
3.8%
의 330
 
3.6%
원 320
 
3.4%
288
 
3.1%
사 224
 
2.4%
회 148
 
1.6%
등 137
 
1.5%
한 136
 
1.5%
Other values (342) 6597
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8134
87.6%
Close Punctuation 358
 
3.9%
Open Punctuation 354
 
3.8%
Space Separator 288
 
3.1%
Decimal Number 109
 
1.2%
Uppercase Letter 40
 
0.4%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 399
 
4.9%
의 330
 
4.1%
원 320
 
3.9%
사 224
 
2.8%
회 148
 
1.8%
등 137
 
1.7%
한 136
 
1.7%
서 131
 
1.6%
영 130
 
1.6%
이 129
 
1.6%
Other values (320) 6050
74.4%
Decimal Number
ValueCountFrequency (%)
6 18
16.5%
3 18
16.5%
5 17
15.6%
9 16
14.7%
4 14
12.8%
1 11
10.1%
2 7
 
6.4%
0 6
 
5.5%
8 2
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
V 7
17.5%
I 7
17.5%
C 7
17.5%
K 6
15.0%
M 5
12.5%
D 4
10.0%
F 4
10.0%
Close Punctuation
ValueCountFrequency (%)
) 357
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 353
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8134
87.6%
Common 1115
 
12.0%
Latin 40
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 399
 
4.9%
의 330
 
4.1%
원 320
 
3.9%
사 224
 
2.8%
회 148
 
1.8%
등 137
 
1.7%
한 136
 
1.7%
서 131
 
1.6%
영 130
 
1.6%
이 129
 
1.6%
Other values (320) 6050
74.4%
Common
ValueCountFrequency (%)
) 357
32.0%
( 353
31.7%
288
25.8%
6 18
 
1.6%
3 18
 
1.6%
5 17
 
1.5%
9 16
 
1.4%
4 14
 
1.3%
1 11
 
1.0%
2 7
 
0.6%
Other values (5) 16
 
1.4%
Latin
ValueCountFrequency (%)
V 7
17.5%
I 7
17.5%
C 7
17.5%
K 6
15.0%
M 5
12.5%
D 4
10.0%
F 4
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8134
87.6%
ASCII 1155
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 399
 
4.9%
의 330
 
4.1%
원 320
 
3.9%
사 224
 
2.8%
회 148
 
1.8%
등 137
 
1.7%
한 136
 
1.7%
서 131
 
1.6%
영 130
 
1.6%
이 129
 
1.6%
Other values (320) 6050
74.4%
ASCII
ValueCountFrequency (%)
) 357
30.9%
( 353
30.6%
288
24.9%
6 18
 
1.6%
3 18
 
1.6%
5 17
 
1.5%
9 16
 
1.4%
4 14
 
1.2%
1 11
 
1.0%
V 7
 
0.6%
Other values (12) 56
 
4.8%

폐기물 종류
Text

Distinct52
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:23.504078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length5
Mean length9.1769826
Min length1

Characters and Unicode

Total characters9489
Distinct characters161
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

Unique23 ?
Unique (%)2.2%

Sample

1st row음식물류폐기물
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row폐유리병류(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다)
5th row폐합성수지류(폐염화비닐수지류는 제외한다)
ValueCountFrequency (%)
지정폐기물 759
45.2%
서울특별시 82
 
4.9%
영등포구 82
 
4.9%
제외한다 73
 
4.3%
폐합성수지류(폐염화비닐수지류는 69
 
4.1%
양평로21길 38
 
2.3%
25 38
 
2.3%
양평동5가 38
 
2.3%
음식물류폐기물 28
 
1.7%
밖의 23
 
1.4%
Other values (123) 449
26.7%
2023-12-12T21:38:23.998874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 1013
 
10.7%
지 930
 
9.8%
물 886
 
9.3%
기 822
 
8.7%
정 769
 
8.1%
669
 
7.1%
류 215
 
2.3%
( 171
 
1.8%
) 171
 
1.8%
수 168
 
1.8%
Other values (151) 3675
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8049
84.8%
Space Separator 669
 
7.1%
Decimal Number 398
 
4.2%
Open Punctuation 177
 
1.9%
Close Punctuation 177
 
1.9%
Connector Punctuation 16
 
0.2%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 1013
 
12.6%
지 930
 
11.6%
물 886
 
11.0%
기 822
 
10.2%
정 769
 
9.6%
류 215
 
2.7%
수 168
 
2.1%
성 108
 
1.3%
포 102
 
1.3%
한 102
 
1.3%
Other values (135) 2934
36.5%
Decimal Number
ValueCountFrequency (%)
2 101
25.4%
5 97
24.4%
1 83
20.9%
3 36
 
9.0%
6 34
 
8.5%
8 17
 
4.3%
4 12
 
3.0%
0 9
 
2.3%
7 9
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 171
96.6%
「 6
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 171
96.6%
」 6
 
3.4%
Space Separator
ValueCountFrequency (%)
669
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8049
84.8%
Common 1440
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 1013
 
12.6%
지 930
 
11.6%
물 886
 
11.0%
기 822
 
10.2%
정 769
 
9.6%
류 215
 
2.7%
수 168
 
2.1%
성 108
 
1.3%
포 102
 
1.3%
한 102
 
1.3%
Other values (135) 2934
36.5%
Common
ValueCountFrequency (%)
669
46.5%
( 171
 
11.9%
) 171
 
11.9%
2 101
 
7.0%
5 97
 
6.7%
1 83
 
5.8%
3 36
 
2.5%
6 34
 
2.4%
8 17
 
1.2%
_ 16
 
1.1%
Other values (6) 45
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8026
84.6%
ASCII 1428
 
15.0%
Compat Jamo 23
 
0.2%
None 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 1013
 
12.6%
지 930
 
11.6%
물 886
 
11.0%
기 822
 
10.2%
정 769
 
9.6%
류 215
 
2.7%
수 168
 
2.1%
성 108
 
1.3%
포 102
 
1.3%
한 102
 
1.3%
Other values (134) 2911
36.3%
ASCII
ValueCountFrequency (%)
669
46.8%
( 171
 
12.0%
) 171
 
12.0%
2 101
 
7.1%
5 97
 
6.8%
1 83
 
5.8%
3 36
 
2.5%
6 34
 
2.4%
8 17
 
1.2%
_ 16
 
1.1%
Other values (4) 33
 
2.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 23
100.0%
None
ValueCountFrequency (%)
「 6
50.0%
」 6
50.0%

사업자등록번호
Text

MISSING 

Distinct267
Distinct (%)29.4%
Missing126
Missing (%)12.2%
Memory size8.2 KiB
2023-12-12T21:38:24.292706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters10896
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

Unique70 ?
Unique (%)7.7%

Sample

1st row710-85-00856
2nd row710-85-00856
3rd row830-81-02510
4th row830-81-02510
5th row830-81-02510
ValueCountFrequency (%)
186-81-00924 41
 
4.5%
105-82-02954 20
 
2.2%
107-81-05232 20
 
2.2%
116-82-00640 18
 
2.0%
107-83-02035 18
 
2.0%
206-86-50913 17
 
1.9%
220-81-60348 14
 
1.5%
116-82-60070 13
 
1.4%
815-99-01462 12
 
1.3%
116-81-13925 12
 
1.3%
Other values (257) 723
79.6%
2023-12-12T21:38:24.707738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1816
16.7%
0 1610
14.8%
1 1590
14.6%
8 1183
10.9%
2 932
8.6%
6 706
 
6.5%
5 655
 
6.0%
3 643
 
5.9%
9 641
 
5.9%
7 586
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9080
83.3%
Dash Punctuation 1816
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1610
17.7%
1 1590
17.5%
8 1183
13.0%
2 932
10.3%
6 706
7.8%
5 655
7.2%
3 643
 
7.1%
9 641
 
7.1%
7 586
 
6.5%
4 534
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 1816
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1816
16.7%
0 1610
14.8%
1 1590
14.6%
8 1183
10.9%
2 932
8.6%
6 706
 
6.5%
5 655
 
6.0%
3 643
 
5.9%
9 641
 
5.9%
7 586
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1816
16.7%
0 1610
14.8%
1 1590
14.6%
8 1183
10.9%
2 932
8.6%
6 706
 
6.5%
5 655
 
6.0%
3 643
 
5.9%
9 641
 
5.9%
7 586
 
5.4%

전화번호
Text

MISSING 

Distinct201
Distinct (%)30.5%
Missing376
Missing (%)36.4%
Memory size8.2 KiB
2023-12-12T21:38:24.987123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.706687
Min length9

Characters and Unicode

Total characters7703
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

Unique55 ?
Unique (%)8.4%

Sample

1st row02-2108-9000
2nd row02-2108-9000
3rd row02-3772-1200
4th row02-3772-1200
5th row02-3772-1200
ValueCountFrequency (%)
02-2670-6653 38
 
5.8%
031-634-1271 18
 
2.7%
02-2638-2151 15
 
2.3%
02-836-8288 12
 
1.8%
02-3468-1052 11
 
1.7%
02-6711-0115 10
 
1.5%
02-825-6560 10
 
1.5%
070-8892-9517 9
 
1.4%
02-450-2500 8
 
1.2%
02-540-4351 8
 
1.2%
Other values (191) 519
78.9%
2023-12-12T21:38:25.501352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1311
17.0%
2 1277
16.6%
0 1221
15.9%
6 674
8.7%
1 605
7.9%
3 534
6.9%
8 526
6.8%
5 506
 
6.6%
7 481
 
6.2%
4 318
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6392
83.0%
Dash Punctuation 1311
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1277
20.0%
0 1221
19.1%
6 674
10.5%
1 605
9.5%
3 534
8.4%
8 526
8.2%
5 506
 
7.9%
7 481
 
7.5%
4 318
 
5.0%
9 250
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7703
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1311
17.0%
2 1277
16.6%
0 1221
15.9%
6 674
8.7%
1 605
7.9%
3 534
6.9%
8 526
6.8%
5 506
 
6.6%
7 481
 
6.2%
4 318
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7703
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1311
17.0%
2 1277
16.6%
0 1221
15.9%
6 674
8.7%
1 605
7.9%
3 534
6.9%
8 526
6.8%
5 506
 
6.6%
7 481
 
6.2%
4 318
 
4.1%

운반자
Text

Distinct216
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:25.761709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length22
Mean length7.401354
Min length1

Characters and Unicode

Total characters7653
Distinct characters252
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.5%

Sample

1st row자연환경
2nd row㈜내셔널오렌지
3rd row㈜녹색사람들
4th row㈜녹색사람들
5th row㈜녹색사람들
ValueCountFrequency (%)
주)베르데산업 89
 
7.5%
주식회사 48
 
4.1%
주)네이처산업 42
 
3.5%
남양그린(주 36
 
3.0%
주)새움 31
 
2.6%
아이엔지환경개발(주 29
 
2.4%
그 28
 
2.4%
문화복지공사 28
 
2.4%
밖의 28
 
2.4%
서울그린산업 27
 
2.3%
Other values (232) 798
67.4%
2023-12-12T21:38:26.194796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 616
 
8.0%
( 585
 
7.6%
) 585
 
7.6%
산 297
 
3.9%
업 292
 
3.8%
경 228
 
3.0%
환 223
 
2.9%
사 164
 
2.1%
162
 
2.1%
지 162
 
2.1%
Other values (242) 4339
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6264
81.9%
Open Punctuation 585
 
7.6%
Close Punctuation 585
 
7.6%
Space Separator 162
 
2.1%
Other Symbol 36
 
0.5%
Uppercase Letter 10
 
0.1%
Dash Punctuation 7
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 616
 
9.8%
산 297
 
4.7%
업 292
 
4.7%
경 228
 
3.6%
환 223
 
3.6%
사 164
 
2.6%
지 162
 
2.6%
이 149
 
2.4%
그 137
 
2.2%
린 108
 
1.7%
Other values (228) 3888
62.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
K 2
20.0%
F 2
20.0%
T 1
 
10.0%
S 1
 
10.0%
J 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 585
100.0%
Close Punctuation
ValueCountFrequency (%)
) 585
100.0%
Space Separator
ValueCountFrequency (%)
162
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6300
82.3%
Common 1341
 
17.5%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 616
 
9.8%
산 297
 
4.7%
업 292
 
4.6%
경 228
 
3.6%
환 223
 
3.5%
사 164
 
2.6%
지 162
 
2.6%
이 149
 
2.4%
그 137
 
2.2%
린 108
 
1.7%
Other values (229) 3924
62.3%
Latin
ValueCountFrequency (%)
C 3
25.0%
K 2
16.7%
F 2
16.7%
n 2
16.7%
T 1
 
8.3%
S 1
 
8.3%
J 1
 
8.3%
Common
ValueCountFrequency (%)
( 585
43.6%
) 585
43.6%
162
 
12.1%
- 7
 
0.5%
& 1
 
0.1%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6258
81.8%
ASCII 1353
 
17.7%
None 36
 
0.5%
Compat Jamo 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 616
 
9.8%
산 297
 
4.7%
업 292
 
4.7%
경 228
 
3.6%
환 223
 
3.6%
사 164
 
2.6%
지 162
 
2.6%
이 149
 
2.4%
그 137
 
2.2%
린 108
 
1.7%
Other values (227) 3882
62.0%
ASCII
ValueCountFrequency (%)
( 585
43.2%
) 585
43.2%
162
 
12.0%
- 7
 
0.5%
C 3
 
0.2%
K 2
 
0.1%
F 2
 
0.1%
n 2
 
0.1%
& 1
 
0.1%
T 1
 
0.1%
Other values (3) 3
 
0.2%
None
ValueCountFrequency (%)
㈜ 36
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

처리업소명
Text

Distinct238
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:26.458736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.1411992
Min length1

Characters and Unicode

Total characters9452
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)13.4%

Sample

1st row㈜혜인이엔씨
2nd row㈜대일인터내셔널
3rd row㈜녹색사람들
4th row㈜녹색사람들
5th row㈜녹색사람들
ValueCountFrequency (%)
주)스테리싸이클코리아 113
 
10.1%
주)에코비트그린구미 80
 
7.2%
주식회사 50
 
4.5%
주)에코비트그린충주 46
 
4.1%
주)센트로음성 46
 
4.1%
주)에코솔루션 44
 
3.9%
주)진흥중공업 36
 
3.2%
도시환경(주 36
 
3.2%
도시환경(주)_(주)디디에스 28
 
2.5%
주)디와이솔루션 28
 
2.5%
Other values (233) 610
54.6%
2023-12-12T21:38:26.923322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 930
 
9.8%
) 846
 
9.0%
( 844
 
8.9%
코 392
 
4.1%
에 389
 
4.1%
이 312
 
3.3%
리 291
 
3.1%
트 244
 
2.6%
스 228
 
2.4%
비 198
 
2.1%
Other values (214) 4778
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7561
80.0%
Close Punctuation 846
 
9.0%
Open Punctuation 844
 
8.9%
Space Separator 97
 
1.0%
Other Symbol 44
 
0.5%
Connector Punctuation 30
 
0.3%
Uppercase Letter 22
 
0.2%
Decimal Number 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 930
 
12.3%
코 392
 
5.2%
에 389
 
5.1%
이 312
 
4.1%
리 291
 
3.8%
트 244
 
3.2%
스 228
 
3.0%
비 198
 
2.6%
린 178
 
2.4%
그 166
 
2.2%
Other values (195) 4233
56.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
18.2%
E 3
13.6%
K 3
13.6%
G 2
9.1%
S 2
9.1%
F 2
9.1%
C 2
9.1%
R 1
 
4.5%
N 1
 
4.5%
M 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 846
100.0%
Open Punctuation
ValueCountFrequency (%)
( 844
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7605
80.5%
Common 1823
 
19.3%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 930
 
12.2%
코 392
 
5.2%
에 389
 
5.1%
이 312
 
4.1%
리 291
 
3.8%
트 244
 
3.2%
스 228
 
3.0%
비 198
 
2.6%
린 178
 
2.3%
그 166
 
2.2%
Other values (196) 4277
56.2%
Latin
ValueCountFrequency (%)
T 4
16.7%
E 3
12.5%
K 3
12.5%
G 2
8.3%
S 2
8.3%
F 2
8.3%
n 2
8.3%
C 2
8.3%
R 1
 
4.2%
N 1
 
4.2%
Other values (2) 2
8.3%
Common
ValueCountFrequency (%)
) 846
46.4%
( 844
46.3%
97
 
5.3%
_ 30
 
1.6%
2 4
 
0.2%
/ 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7561
80.0%
ASCII 1847
 
19.5%
None 44
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 930
 
12.3%
코 392
 
5.2%
에 389
 
5.1%
이 312
 
4.1%
리 291
 
3.8%
트 244
 
3.2%
스 228
 
3.0%
비 198
 
2.6%
린 178
 
2.4%
그 166
 
2.2%
Other values (195) 4233
56.0%
ASCII
ValueCountFrequency (%)
) 846
45.8%
( 844
45.7%
97
 
5.3%
_ 30
 
1.6%
T 4
 
0.2%
2 4
 
0.2%
E 3
 
0.2%
K 3
 
0.2%
/ 2
 
0.1%
G 2
 
0.1%
Other values (8) 12
 
0.6%
None
ValueCountFrequency (%)
㈜ 44
100.0%

처리방법
Text

Distinct78
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:27.195969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length11.716634
Min length1

Characters and Unicode

Total characters12115
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)3.8%

Sample

1st row재활용(농업생산활동에 사용)
2nd row재활용(연료·고형연료제품 제조)
3rd row재활용(중간가공폐기물 제조)
4th row재활용(중간가공폐기물 제조)
5th row재활용(연료·고형연료제품 제조)
ValueCountFrequency (%)
매립(민간관리형매립시설 346
27.3%
중간처분(일반소각 276
21.8%
제조 178
14.0%
재활용(중간가공폐기물 111
 
8.8%
중간처분(고형화 59
 
4.7%
사용 44
 
3.5%
재활용(농업생산활동에 41
 
3.2%
재활용(연료·고형연료제품 38
 
3.0%
재활용(원료 29
 
2.3%
중간처분(고온소각 14
 
1.1%
Other values (72) 131
 
10.3%
2023-12-12T21:38:27.626752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 994
 
8.2%
) 994
 
8.2%
간 821
 
6.8%
매 696
 
5.7%
립 696
 
5.7%
중 479
 
4.0%
형 443
 
3.7%
분 369
 
3.0%
처 364
 
3.0%
리 356
 
2.9%
Other values (146) 5903
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9832
81.2%
Open Punctuation 994
 
8.2%
Close Punctuation 994
 
8.2%
Space Separator 235
 
1.9%
Other Punctuation 48
 
0.4%
Uppercase Letter 8
 
0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
간 821
 
8.4%
매 696
 
7.1%
립 696
 
7.1%
중 479
 
4.9%
형 443
 
4.5%
분 369
 
3.8%
처 364
 
3.7%
리 356
 
3.6%
시 348
 
3.5%
설 348
 
3.5%
Other values (132) 4912
50.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
E 1
12.5%
N 1
12.5%
M 1
12.5%
R 1
12.5%
K 1
12.5%
J 1
12.5%
Other Punctuation
ValueCountFrequency (%)
· 39
81.2%
. 9
 
18.8%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 994
100.0%
Close Punctuation
ValueCountFrequency (%)
) 994
100.0%
Space Separator
ValueCountFrequency (%)
235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9832
81.2%
Common 2275
 
18.8%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
간 821
 
8.4%
매 696
 
7.1%
립 696
 
7.1%
중 479
 
4.9%
형 443
 
4.5%
분 369
 
3.8%
처 364
 
3.7%
리 356
 
3.6%
시 348
 
3.5%
설 348
 
3.5%
Other values (132) 4912
50.0%
Common
ValueCountFrequency (%)
( 994
43.7%
) 994
43.7%
235
 
10.3%
· 39
 
1.7%
. 9
 
0.4%
1 2
 
0.1%
2 2
 
0.1%
Latin
ValueCountFrequency (%)
T 2
25.0%
E 1
12.5%
N 1
12.5%
M 1
12.5%
R 1
12.5%
K 1
12.5%
J 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9832
81.2%
ASCII 2244
 
18.5%
None 39
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 994
44.3%
) 994
44.3%
235
 
10.5%
. 9
 
0.4%
T 2
 
0.1%
1 2
 
0.1%
2 2
 
0.1%
E 1
 
< 0.1%
N 1
 
< 0.1%
M 1
 
< 0.1%
Other values (3) 3
 
0.1%
Hangul
ValueCountFrequency (%)
간 821
 
8.4%
매 696
 
7.1%
립 696
 
7.1%
중 479
 
4.9%
형 443
 
4.5%
분 369
 
3.8%
처 364
 
3.7%
리 356
 
3.6%
시 348
 
3.5%
설 348
 
3.5%
Other values (132) 4912
50.0%
None
ValueCountFrequency (%)
· 39
100.0%

사업장주소
Text

Distinct358
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:27.891249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length31.246615
Min length1

Characters and Unicode

Total characters32309
Distinct characters276
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)6.8%

Sample

1st row서울특별시 영등포구 경인로 870_ 영등포 J&S (영등포동1가)
2nd row서울특별시 영등포구 경인로 870_ 영등포 J&S (영등포동1가)
3rd row서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)
4th row서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)
5th row서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)
ValueCountFrequency (%)
서울특별시 947
 
16.0%
영등포구 943
 
15.9%
여의도동 208
 
3.5%
대림동 150
 
2.5%
신길동 97
 
1.6%
영중로 74
 
1.2%
영등포동4가 63
 
1.1%
문래동3가 47
 
0.8%
도림로 45
 
0.8%
10 42
 
0.7%
Other values (623) 3313
55.9%
2023-12-12T21:38:28.342385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4919
 
15.2%
영 1363
 
4.2%
등 1267
 
3.9%
포 1240
 
3.8%
동 1067
 
3.3%
) 1033
 
3.2%
( 1033
 
3.2%
시 997
 
3.1%
서 992
 
3.1%
울 975
 
3.0%
Other values (266) 17423
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20341
63.0%
Space Separator 4919
 
15.2%
Decimal Number 4118
 
12.7%
Close Punctuation 1033
 
3.2%
Open Punctuation 1033
 
3.2%
Connector Punctuation 643
 
2.0%
Dash Punctuation 96
 
0.3%
Uppercase Letter 69
 
0.2%
Lowercase Letter 33
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1363
 
6.7%
등 1267
 
6.2%
포 1240
 
6.1%
동 1067
 
5.2%
시 997
 
4.9%
서 992
 
4.9%
울 975
 
4.8%
구 959
 
4.7%
별 952
 
4.7%
로 950
 
4.7%
Other values (228) 9579
47.1%
Decimal Number
ValueCountFrequency (%)
1 779
18.9%
3 560
13.6%
2 510
12.4%
5 474
11.5%
4 421
10.2%
0 414
10.1%
6 288
 
7.0%
7 275
 
6.7%
8 227
 
5.5%
9 170
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
S 17
24.6%
J 10
14.5%
K 10
14.5%
C 10
14.5%
Y 8
11.6%
B 8
11.6%
M 3
 
4.3%
P 1
 
1.4%
G 1
 
1.4%
T 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 20
60.6%
n 4
 
12.1%
a 3
 
9.1%
l 1
 
3.0%
i 1
 
3.0%
c 1
 
3.0%
m 1
 
3.0%
g 1
 
3.0%
h 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
· 2
 
16.7%
& 2
 
16.7%
Space Separator
ValueCountFrequency (%)
4919
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1033
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1033
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20341
63.0%
Common 11866
36.7%
Latin 102
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 1363
 
6.7%
등 1267
 
6.2%
포 1240
 
6.1%
동 1067
 
5.2%
시 997
 
4.9%
서 992
 
4.9%
울 975
 
4.8%
구 959
 
4.7%
별 952
 
4.7%
로 950
 
4.7%
Other values (228) 9579
47.1%
Common
ValueCountFrequency (%)
4919
41.5%
) 1033
 
8.7%
( 1033
 
8.7%
1 779
 
6.6%
_ 643
 
5.4%
3 560
 
4.7%
2 510
 
4.3%
5 474
 
4.0%
4 421
 
3.5%
0 414
 
3.5%
Other values (9) 1080
 
9.1%
Latin
ValueCountFrequency (%)
e 20
19.6%
S 17
16.7%
J 10
9.8%
K 10
9.8%
C 10
9.8%
Y 8
 
7.8%
B 8
 
7.8%
n 4
 
3.9%
a 3
 
2.9%
M 3
 
2.9%
Other values (9) 9
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20341
63.0%
ASCII 11966
37.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4919
41.1%
) 1033
 
8.6%
( 1033
 
8.6%
1 779
 
6.5%
_ 643
 
5.4%
3 560
 
4.7%
2 510
 
4.3%
5 474
 
4.0%
4 421
 
3.5%
0 414
 
3.5%
Other values (27) 1180
 
9.9%
Hangul
ValueCountFrequency (%)
영 1363
 
6.7%
등 1267
 
6.2%
포 1240
 
6.1%
동 1067
 
5.2%
시 997
 
4.9%
서 992
 
4.9%
울 975
 
4.8%
구 959
 
4.7%
별 952
 
4.7%
로 950
 
4.7%
Other values (228) 9579
47.1%
None
ValueCountFrequency (%)
· 2
100.0%

신고일
Text

Distinct215
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T21:38:28.720482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.104449
Min length10

Characters and Unicode

Total characters10448
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)2.9%

Sample

1st row2023-05-04
2nd row2023-05-04
3rd row2022-08-26
4th row2022-08-26
5th row2022-08-26
ValueCountFrequency (%)
2022-06-30 31
 
2.8%
일 27
 
2.4%
2022-04-20 24
 
2.2%
2022-04-28 20
 
1.8%
2023-05-08 19
 
1.7%
2012-07-04 19
 
1.7%
2022-08-18 18
 
1.6%
2022-03-07 17
 
1.5%
2014-11-27 15
 
1.3%
2023-02-06 15
 
1.3%
Other values (216) 910
81.6%
2023-12-12T21:38:29.226786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3072
29.4%
0 2414
23.1%
- 2014
19.3%
1 1006
 
9.6%
3 471
 
4.5%
4 331
 
3.2%
8 246
 
2.4%
7 207
 
2.0%
6 197
 
1.9%
5 197
 
1.9%
Other values (5) 293
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8272
79.2%
Dash Punctuation 2014
 
19.3%
Space Separator 81
 
0.8%
Other Letter 81
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3072
37.1%
0 2414
29.2%
1 1006
 
12.2%
3 471
 
5.7%
4 331
 
4.0%
8 246
 
3.0%
7 207
 
2.5%
6 197
 
2.4%
5 197
 
2.4%
9 131
 
1.6%
Other Letter
ValueCountFrequency (%)
년 27
33.3%
월 27
33.3%
일 27
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2014
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10367
99.2%
Hangul 81
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3072
29.6%
0 2414
23.3%
- 2014
19.4%
1 1006
 
9.7%
3 471
 
4.5%
4 331
 
3.2%
8 246
 
2.4%
7 207
 
2.0%
6 197
 
1.9%
5 197
 
1.9%
Other values (2) 212
 
2.0%
Hangul
ValueCountFrequency (%)
년 27
33.3%
월 27
33.3%
일 27
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10367
99.2%
Hangul 81
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3072
29.6%
0 2414
23.3%
- 2014
19.4%
1 1006
 
9.7%
3 471
 
4.5%
4 331
 
3.2%
8 246
 
2.4%
7 207
 
2.0%
6 197
 
1.9%
5 197
 
1.9%
Other values (2) 212
 
2.0%
Hangul
ValueCountFrequency (%)
년 27
33.3%
월 27
33.3%
일 27
33.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-05-25
1034 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-25
2nd row2023-05-25
3rd row2023-05-25
4th row2023-05-25
5th row2023-05-25

Common Values

ValueCountFrequency (%)
2023-05-25 1034
100.0%

Length

2023-12-12T21:38:29.387672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:38:29.484519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-25 1034
100.0%

Correlations

2023-12-12T21:38:29.554595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 구분폐기물 종류처리방법
폐기물 구분1.0001.0000.987
폐기물 종류1.0001.0000.993
처리방법0.9870.9931.000

Missing values

2023-12-12T21:38:21.721633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:38:21.923150image/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.
2023-12-12T21:38:22.038379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

폐기물 구분상호폐기물 종류사업자등록번호전화번호운반자처리업소명처리방법사업장주소신고일데이터기준일자
0비배출시설계페어필드바이메리어트서울음식물류폐기물710-85-0085602-2108-9000자연환경㈜혜인이엔씨재활용(농업생산활동에 사용)서울특별시 영등포구 경인로 870_ 영등포 J&S (영등포동1가)2023-05-042023-05-25
1비배출시설계페어필드바이메리어트서울폐합성수지류(폐염화비닐수지류는 제외한다)710-85-0085602-2108-9000㈜내셔널오렌지㈜대일인터내셔널재활용(연료·고형연료제품 제조)서울특별시 영등포구 경인로 870_ 영등포 J&S (영등포동1가)2023-05-042023-05-25
2비배출시설계이지스제400호부동산일반사모투자회사폐합성수지류(폐염화비닐수지류는 제외한다)830-81-0251002-3772-1200㈜녹색사람들㈜녹색사람들재활용(중간가공폐기물 제조)서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)2022-08-262023-05-25
3비배출시설계이지스제400호부동산일반사모투자회사폐유리병류(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다)830-81-0251002-3772-1200㈜녹색사람들㈜녹색사람들재활용(중간가공폐기물 제조)서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)2022-08-262023-05-25
4비배출시설계이지스제400호부동산일반사모투자회사폐합성수지류(폐염화비닐수지류는 제외한다)830-81-0251002-3772-1200㈜녹색사람들㈜녹색사람들재활용(연료·고형연료제품 제조)서울특별시 영등포구 여의대로 70_ 신한금융투자타워 (여의도동)2022-08-262023-05-25
5비배출시설계(재)우체국시설관리단폐합성수지류(폐염화비닐수지류는 제외한다)107-82-0733402-782-8572경기푸른경㈜㈜태창재활용(중간가공폐기물 제조)서울특별시 영등포구 여의나루로 60_ 여의도우체국 (여의도동)2022-06-032023-05-25
6비배출시설계센터플러스 입주자대표회의폐합성수지류(폐염화비닐수지류는 제외한다)107-82-6466902-2164-3200지우산업(주)제이컴재활용(중간가공폐기물 제조)서울특별시 영등포구 경인로82길 3-4_ 센터플러스 (문래동1가)2021-09-292023-05-25
7비배출시설계파크원 관리단폐합성수지류(폐염화비닐수지류는 제외한다)311-82-7420402-2118-0003대우이앤씨㈜오성자원중간처분(파쇄.분쇄)서울특별시 영등포구 여의대로 108_ 파크원지하2층 운영센터 (여의도동)2021-09-012023-05-25
8비배출시설계파크원 관리단폐유리병류(「자원의 절약과 재활용촉진에 관한 법률 시행령」 제18조제1호에 해당하는 것을 말한다)311-82-7420402-2118-0003대우이앤씨㈜오성자원재활용(중간가공폐기물 제조)서울특별시 영등포구 여의대로 108_ 파크원지하2층 운영센터 (여의도동)2021-09-012023-05-25
9비배출시설계와이이십이프로젝트금융투자 주식회사폐합성수지류(폐염화비닐수지류는 제외한다)104-81-9365902-709-0577평야기업㈜크린자원산업㈜재활용(중간가공폐기물 제조)서울특별시 영등포구 국제금융로2길 32_ 여의도파이낸스타워 9층 (여의도동)2021-07-022023-05-25
폐기물 구분상호폐기물 종류사업자등록번호전화번호운반자처리업소명처리방법사업장주소신고일데이터기준일자
1024지정폐기물(주)옥당산업지정폐기물107-86-0899002-2672-0913(주)KS에너지진우산업(주)재활용(중간가공폐기물 제조)서울특별시 영등포구 국제금융로2길 25 (주)유수홀딩스 (여의도동)2022-01-182023-05-25
1025지정폐기물(주)성진산업개발지정폐기물628-87-01768031-634-1271(주)네이처산업(유)에스엔피중간처분(고형화)서울특별시 영등포구 시흥대로 641 (대림동)2022-01-182023-05-25
1026지정폐기물(주)성진산업개발지정폐기물628-87-01768031-634-1271(주)네이처산업(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 시흥대로 641 (대림동)2022-01-182023-05-25
1027지정폐기물(주)성진산업개발지정폐기물628-87-01768031-634-1271(주)네이처산업(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 시흥대로 641 (대림동)2022-01-182023-05-25
1028지정폐기물양평제12구역 도시환경정비사업조합지정폐기물107-82-61925<NA>주식회사 일신환경주식회사 일신환경재활용(중간가공폐기물 제조)서울특별시 영등포구 양산로 34 (양평동1가)2022-01-182023-05-25
1029지정폐기물개인지정폐기물<NA><NA>하나그린(주)(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 가마산로 500-2 (신길동)2022-01-122023-05-25
1030지정폐기물개인지정폐기물<NA><NA>하나그린(주)(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 가마산로 500-2 (신길동)2022-01-122023-05-25
1031지정폐기물주식회사 삼기종합건설지정폐기물308-81-1398902-2061-0988주식회사 금강환경(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 신길로43길 2-3 (신길동)2022-01-122023-05-25
1032지정폐기물주식회사 삼기종합건설지정폐기물308-81-1398902-2061-0988주식회사 금강환경(주)이앤컴퍼니 구미지점매립(민간관리형매립시설)서울특별시 영등포구 신길로43길 2-3 (신길동)2022-01-122023-05-25
1033지정폐기물서린빌딩지정폐기물205-82-8351002-784-4821미래산업미래산업재활용(중간가공폐기물 제조)서울특별시 영등포구 여의대방로65길 17_ 서린빌딩 (여의도동)2022-01-062023-05-25

Duplicate rows

Most frequently occurring

폐기물 구분상호폐기물 종류사업자등록번호전화번호운반자처리업소명처리방법사업장주소신고일데이터기준일자# duplicates
126지정폐기물삼성필정형외과의원지정폐기물815-99-0146202-836-8288(주)대한의료산업(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 신길로 29_ 105동 203~205호 (대림동_ e편한세상 영등포 아델포레)2022-04-202023-05-2512
97지정폐기물대한적십자사 서울중앙혈액원(대방역 헌혈의집)지정폐기물105-82-0295402-825-6560진포환경상사(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 여의대방로 300_ 대방역 (신길동)2022-04-282023-05-2510
98지정폐기물대한적십자사 서울중앙혈액원(영등포 헌혈의집)지정폐기물105-82-0295402-6711-0115진포환경상사(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 영중로 3 (영등포동4가)2022-04-282023-05-2510
116지정폐기물박수경99이비인후과의원지정폐기물337-97-0153702-831-9900(주)이에스지한일위생(주)에코비트에너지진천중간처분(일반소각)서울특별시 영등포구 시흥대로 675_ 삼성YJ그랜드빌딩 602호 (대림동)2023-03-172023-05-258
159지정폐기물엠디케이메드의원지정폐기물210-66-0051102-738-8256서울그린산업(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 의사당대로 26_ 더하우스 소호 여의도 오피스텔 202호_203호 (여의도동)2022-05-172023-05-258
172지정폐기물영등포 원안과지정폐기물897-94-0145502-6941-0567예닮환경(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 경인로 841_ 서울영등포동4가우체국 3층 (영등포동4가)2022-03-032023-05-258
198지정폐기물조은탑내과의원지정폐기물598-97-0138802-6953-2800미소환경(주)스테리싸이클코리아중간처분(일반소각)서울특별시 영등포구 당산로 118_ 5층 502호 (당산동3가)2023-05-102023-05-258
209지정폐기물주식회사 이노넵지정폐기물522-87-0040402-540-4351두연환경도시환경(주)중간처분(일반소각)서울특별시 영등포구 양산로 43_ 양평동우림 이 비지센타 5층 510호 (양평동3가)2022-04-112023-05-258
179지정폐기물영등포톡스앤필의원지정폐기물308-08-9244802-6952-4842두만산업위생공사(주)에코비트에너지중간처분(일반소각)서울특별시 영등포구 영중로 12_ 에쉐르아이 시네마 쇼핑몰 8층 (영등포동3가)2023-01-132023-05-257
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