Overview

Dataset statistics

Number of variables13
Number of observations949
Missing cells65
Missing cells (%)0.5%
Duplicate rows4
Duplicate rows (%)0.4%
Total size in memory97.4 KiB
Average record size in memory105.1 B

Variable types

Text7
Numeric1
Categorical4
DateTime1

Dataset

Description전라남도 광양시의 사업장폐기물 신고현황(폐기물종류, 사업자등록번호, 사업장 주소, 폐기물 처리방법 등)에 대한 데이터를 제공합니다.*전화번호 항목 공란 사유 : 개인 휴대전화 번호를 사용하는 업체 및 미수집
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15080893/fileData.do

Alerts

업무구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 4 (0.4%) duplicate rowsDuplicates
폐기물자가처리방법 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 폐기물자가처리방법High correlation
전화번호 has 65 (6.8%) missing valuesMissing

Reproduction

Analysis started2024-04-29 22:48:42.938221
Analysis finished2024-04-29 22:48:45.913656
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct280
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:46.045421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.6522655
Min length2

Characters and Unicode

Total characters8211
Distinct characters290
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

Unique133 ?
Unique (%)14.0%

Sample

1st row㈜피앤오케미칼
2nd row㈜피앤오케미칼
3rd row㈜피앤오케미칼
4th row(주)포스코O&M
5th row(주)포스코O&M
ValueCountFrequency (%)
광양제철소 237
 
17.6%
주)포스코 142
 
10.6%
㈜포스코 95
 
7.1%
주)대원이엔티 21
 
1.6%
주식회사 20
 
1.5%
광양시 18
 
1.3%
조선내화㈜ 17
 
1.3%
㈜피엠씨텍 16
 
1.2%
광양지점 15
 
1.1%
광양공장 15
 
1.1%
Other values (303) 749
55.7%
2024-04-30T07:48:46.363103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 426
 
5.2%
주 421
 
5.1%
스 416
 
5.1%
광 416
 
5.1%
) 408
 
5.0%
( 408
 
5.0%
㈜ 399
 
4.9%
396
 
4.8%
코 285
 
3.5%
포 275
 
3.3%
Other values (280) 4361
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6518
79.4%
Close Punctuation 408
 
5.0%
Open Punctuation 408
 
5.0%
Other Symbol 399
 
4.9%
Space Separator 396
 
4.8%
Uppercase Letter 45
 
0.5%
Decimal Number 24
 
0.3%
Dash Punctuation 6
 
0.1%
Other Punctuation 6
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 426
 
6.5%
주 421
 
6.5%
스 416
 
6.4%
광 416
 
6.4%
코 285
 
4.4%
포 275
 
4.2%
제 259
 
4.0%
소 252
 
3.9%
철 251
 
3.9%
이 139
 
2.1%
Other values (252) 3378
51.8%
Uppercase Letter
ValueCountFrequency (%)
E 5
11.1%
D 4
 
8.9%
T 4
 
8.9%
S 4
 
8.9%
H 4
 
8.9%
I 3
 
6.7%
M 3
 
6.7%
G 3
 
6.7%
O 3
 
6.7%
K 2
 
4.4%
Other values (6) 10
22.2%
Decimal Number
ValueCountFrequency (%)
2 17
70.8%
1 5
 
20.8%
3 2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
. 2
33.3%
; 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 408
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 399
100.0%
Space Separator
ValueCountFrequency (%)
396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6917
84.2%
Common 1249
 
15.2%
Latin 45
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 426
 
6.2%
주 421
 
6.1%
스 416
 
6.0%
광 416
 
6.0%
㈜ 399
 
5.8%
코 285
 
4.1%
포 275
 
4.0%
제 259
 
3.7%
소 252
 
3.6%
철 251
 
3.6%
Other values (253) 3517
50.8%
Latin
ValueCountFrequency (%)
E 5
11.1%
D 4
 
8.9%
T 4
 
8.9%
S 4
 
8.9%
H 4
 
8.9%
I 3
 
6.7%
M 3
 
6.7%
G 3
 
6.7%
O 3
 
6.7%
K 2
 
4.4%
Other values (6) 10
22.2%
Common
ValueCountFrequency (%)
) 408
32.7%
( 408
32.7%
396
31.7%
2 17
 
1.4%
- 6
 
0.5%
1 5
 
0.4%
& 3
 
0.2%
. 2
 
0.2%
3 2
 
0.2%
_ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6518
79.4%
ASCII 1294
 
15.8%
None 399
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 426
 
6.5%
주 421
 
6.5%
스 416
 
6.4%
광 416
 
6.4%
코 285
 
4.4%
포 275
 
4.2%
제 259
 
4.0%
소 252
 
3.9%
철 251
 
3.9%
이 139
 
2.1%
Other values (252) 3378
51.8%
ASCII
ValueCountFrequency (%)
) 408
31.5%
( 408
31.5%
396
30.6%
2 17
 
1.3%
- 6
 
0.5%
1 5
 
0.4%
E 5
 
0.4%
D 4
 
0.3%
T 4
 
0.3%
S 4
 
0.3%
Other values (17) 37
 
2.9%
None
ValueCountFrequency (%)
㈜ 399
100.0%

전화번호
Text

MISSING 

Distinct229
Distinct (%)25.9%
Missing65
Missing (%)6.8%
Memory size7.5 KiB
2024-04-30T07:48:46.596834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.93552
Min length1

Characters and Unicode

Total characters10551
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)10.9%

Sample

1st row061-797-9612
2nd row061-797-9612
3rd row061-797-9612
4th row061-799-3406
5th row061-799-3406
ValueCountFrequency (%)
061-790-2494 142
 
16.2%
061-790-2490 95
 
10.8%
061-772-8700 21
 
2.4%
061-760-8976 20
 
2.3%
061-798-8103 17
 
1.9%
061-763-7511 13
 
1.5%
061-763-8090 12
 
1.4%
061-761-1661 10
 
1.1%
061-762-8259 10
 
1.1%
061-723-3000 10
 
1.1%
Other values (218) 529
60.2%
2024-04-30T07:48:46.960451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1787
16.9%
- 1757
16.7%
6 1268
12.0%
7 1254
11.9%
1 1236
11.7%
9 1002
9.5%
2 741
7.0%
4 564
 
5.3%
8 371
 
3.5%
3 323
 
3.1%
Other values (2) 248
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8789
83.3%
Dash Punctuation 1757
 
16.7%
Space Separator 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1787
20.3%
6 1268
14.4%
7 1254
14.3%
1 1236
14.1%
9 1002
11.4%
2 741
8.4%
4 564
 
6.4%
8 371
 
4.2%
3 323
 
3.7%
5 243
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1757
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10551
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1787
16.9%
- 1757
16.7%
6 1268
12.0%
7 1254
11.9%
1 1236
11.7%
9 1002
9.5%
2 741
7.0%
4 564
 
5.3%
8 371
 
3.5%
3 323
 
3.1%
Other values (2) 248
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1787
16.9%
- 1757
16.7%
6 1268
12.0%
7 1254
11.9%
1 1236
11.7%
9 1002
9.5%
2 741
7.0%
4 564
 
5.3%
8 371
 
3.5%
3 323
 
3.1%
Other values (2) 248
 
2.4%

신고기준년도
Real number (ℝ)

Distinct28
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.2856
Minimum1993
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-04-30T07:48:47.084376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1993
5-th percentile1996
Q12009
median2011
Q32018
95-th percentile2021
Maximum2022
Range29
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.4221424
Coefficient of variation (CV)0.003690248
Kurtosis-0.16197662
Mean2011.2856
Median Absolute Deviation (MAD)6
Skewness-0.73191016
Sum1908710
Variance55.088199
MonotonicityNot monotonic
2024-04-30T07:48:47.198672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2009 166
17.5%
2018 150
15.8%
2011 60
 
6.3%
2019 58
 
6.1%
2021 53
 
5.6%
2010 50
 
5.3%
2017 49
 
5.2%
2015 44
 
4.6%
2006 37
 
3.9%
1996 31
 
3.3%
Other values (18) 251
26.4%
ValueCountFrequency (%)
1993 17
1.8%
1994 19
2.0%
1996 31
3.3%
1997 18
1.9%
1998 7
 
0.7%
1999 11
 
1.2%
2000 7
 
0.7%
2002 3
 
0.3%
2003 11
 
1.2%
2004 22
2.3%
ValueCountFrequency (%)
2022 11
 
1.2%
2021 53
 
5.6%
2020 19
 
2.0%
2019 58
 
6.1%
2018 150
15.8%
2017 49
 
5.2%
2016 23
 
2.4%
2015 44
 
4.6%
2014 4
 
0.4%
2013 20
 
2.1%

생활계구분
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
배출시설계
698 
생활계
200 
 
28
비배출시설계
 
23

Length

Max length6
Median length5
Mean length4.4847208
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출시설계 698
73.6%
생활계 200
 
21.1%
28
 
3.0%
비배출시설계 23
 
2.4%

Length

2024-04-30T07:48:47.322213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:47.426924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출시설계 698
75.8%
생활계 200
 
21.7%
비배출시설계 23
 
2.5%

폐기물 종류
Text

Distinct98
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:47.652605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length64
Mean length13.022129
Min length1

Characters and Unicode

Total characters12358
Distinct characters191
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

Unique36 ?
Unique (%)3.8%

Sample

1st row그 밖의 폐목재류
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row폐유리
4th row음식물류폐기물
5th row그 밖의 폐기물
ValueCountFrequency (%)
그 269
 
12.5%
밖의 269
 
12.5%
제외한다 247
 
11.4%
폐합성수지류(폐염화비닐수지류는 241
 
11.2%
제철공정분진 86
 
4.0%
폐목재류 55
 
2.5%
공정오니 51
 
2.4%
폐기물 46
 
2.1%
폐합성수지류 43
 
2.0%
폐금속류 38
 
1.8%
Other values (168) 815
37.7%
2024-04-30T07:48:48.137425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1251
 
10.1%
폐 1022
 
8.3%
류 723
 
5.9%
수 588
 
4.8%
지 572
 
4.6%
제 373
 
3.0%
성 372
 
3.0%
합 353
 
2.9%
한 317
 
2.6%
의 300
 
2.4%
Other values (181) 6487
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10416
84.3%
Space Separator 1251
 
10.1%
Close Punctuation 300
 
2.4%
Open Punctuation 300
 
2.4%
Connector Punctuation 79
 
0.6%
Decimal Number 10
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 1022
 
9.8%
류 723
 
6.9%
수 588
 
5.6%
지 572
 
5.5%
제 373
 
3.6%
성 372
 
3.6%
합 353
 
3.4%
한 317
 
3.0%
의 300
 
2.9%
다 296
 
2.8%
Other values (171) 5500
52.8%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
8 2
 
20.0%
2 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 298
99.3%
」 2
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 298
99.3%
「 2
 
0.7%
Space Separator
ValueCountFrequency (%)
1251
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10416
84.3%
Common 1942
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 1022
 
9.8%
류 723
 
6.9%
수 588
 
5.6%
지 572
 
5.5%
제 373
 
3.6%
성 372
 
3.6%
합 353
 
3.4%
한 317
 
3.0%
의 300
 
2.9%
다 296
 
2.8%
Other values (171) 5500
52.8%
Common
ValueCountFrequency (%)
1251
64.4%
) 298
 
15.3%
( 298
 
15.3%
_ 79
 
4.1%
1 7
 
0.4%
. 2
 
0.1%
「 2
 
0.1%
8 2
 
0.1%
」 2
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10405
84.2%
ASCII 1938
 
15.7%
Compat Jamo 11
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1251
64.6%
) 298
 
15.4%
( 298
 
15.4%
_ 79
 
4.1%
1 7
 
0.4%
. 2
 
0.1%
8 2
 
0.1%
2 1
 
0.1%
Hangul
ValueCountFrequency (%)
폐 1022
 
9.8%
류 723
 
6.9%
수 588
 
5.7%
지 572
 
5.5%
제 373
 
3.6%
성 372
 
3.6%
합 353
 
3.4%
한 317
 
3.0%
의 300
 
2.9%
다 296
 
2.8%
Other values (170) 5489
52.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%
None
ValueCountFrequency (%)
「 2
50.0%
」 2
50.0%

운반자
Text

Distinct279
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:48.397256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length6.1865121
Min length1

Characters and Unicode

Total characters5871
Distinct characters220
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

Unique148 ?
Unique (%)15.6%

Sample

1st row(주)녹색환경산업
2nd row(주)녹색환경산업
3rd row(주)녹색환경산업
4th row태양환경(주)
5th row태양환경(주)
ValueCountFrequency (%)
유)동부환경 41
 
4.3%
㈜대원이엔티 37
 
3.8%
서기산업㈜ 34
 
3.5%
해동이앤티㈜ 31
 
3.2%
㈜녹색환경산업 30
 
3.1%
해아래환경자원 24
 
2.5%
자가 24
 
2.5%
주)동남환경 21
 
2.2%
주)백운환경 20
 
2.1%
㈜중원로지스 20
 
2.1%
Other values (272) 681
70.7%
2024-04-30T07:48:48.766275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 467
 
8.0%
경 362
 
6.2%
환 353
 
6.0%
( 337
 
5.7%
) 337
 
5.7%
주 255
 
4.3%
업 235
 
4.0%
산 192
 
3.3%
이 142
 
2.4%
동 138
 
2.4%
Other values (210) 3053
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4654
79.3%
Other Symbol 467
 
8.0%
Open Punctuation 337
 
5.7%
Close Punctuation 337
 
5.7%
Uppercase Letter 29
 
0.5%
Connector Punctuation 23
 
0.4%
Space Separator 22
 
0.4%
Decimal Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 362
 
7.8%
환 353
 
7.6%
주 255
 
5.5%
업 235
 
5.0%
산 192
 
4.1%
이 142
 
3.1%
동 138
 
3.0%
티 127
 
2.7%
원 115
 
2.5%
성 102
 
2.2%
Other values (194) 2633
56.6%
Uppercase Letter
ValueCountFrequency (%)
C 7
24.1%
K 5
17.2%
S 5
17.2%
J 4
13.8%
H 3
10.3%
R 2
 
6.9%
G 1
 
3.4%
D 1
 
3.4%
F 1
 
3.4%
Other Symbol
ValueCountFrequency (%)
㈜ 467
100.0%
Open Punctuation
ValueCountFrequency (%)
( 337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 337
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5121
87.2%
Common 721
 
12.3%
Latin 29
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 467
 
9.1%
경 362
 
7.1%
환 353
 
6.9%
주 255
 
5.0%
업 235
 
4.6%
산 192
 
3.7%
이 142
 
2.8%
동 138
 
2.7%
티 127
 
2.5%
원 115
 
2.2%
Other values (195) 2735
53.4%
Latin
ValueCountFrequency (%)
C 7
24.1%
K 5
17.2%
S 5
17.2%
J 4
13.8%
H 3
10.3%
R 2
 
6.9%
G 1
 
3.4%
D 1
 
3.4%
F 1
 
3.4%
Common
ValueCountFrequency (%)
( 337
46.7%
) 337
46.7%
_ 23
 
3.2%
22
 
3.1%
1 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4654
79.3%
ASCII 750
 
12.8%
None 467
 
8.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 467
100.0%
Hangul
ValueCountFrequency (%)
경 362
 
7.8%
환 353
 
7.6%
주 255
 
5.5%
업 235
 
5.0%
산 192
 
4.1%
이 142
 
3.1%
동 138
 
3.0%
티 127
 
2.7%
원 115
 
2.5%
성 102
 
2.2%
Other values (194) 2633
56.6%
ASCII
ValueCountFrequency (%)
( 337
44.9%
) 337
44.9%
_ 23
 
3.1%
22
 
2.9%
C 7
 
0.9%
K 5
 
0.7%
S 5
 
0.7%
J 4
 
0.5%
H 3
 
0.4%
R 2
 
0.3%
Other values (5) 5
 
0.7%

처리업소명
Text

Distinct324
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:48.989282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length14
Mean length7.1327713
Min length1

Characters and Unicode

Total characters6769
Distinct characters260
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

Unique177 ?
Unique (%)18.7%

Sample

1st row(주)녹색환경산업
2nd row케이씨환경서비스(주)
3rd row인선이엔티(주)광양
4th row(주)그린에코바이오
5th row태양환경(주)
ValueCountFrequency (%)
한맥테코산업㈜ 40
 
3.9%
㈜와이엔텍 39
 
3.8%
금천산업㈜ 36
 
3.5%
주)와이엔텍 27
 
2.6%
㈜하나이엔티 24
 
2.4%
유)세림상운 21
 
2.1%
한맥테코산업(주)율촌사업소 21
 
2.1%
해아래환경자원 20
 
2.0%
kc환경서비스(주 16
 
1.6%
티에너지㈜ 16
 
1.6%
Other values (327) 761
74.5%
2024-04-30T07:48:49.387532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 499
 
7.4%
업 339
 
5.0%
) 319
 
4.7%
( 319
 
4.7%
주 299
 
4.4%
산 270
 
4.0%
이 241
 
3.6%
경 203
 
3.0%
환 188
 
2.8%
엔 159
 
2.3%
Other values (250) 3933
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5425
80.1%
Other Symbol 499
 
7.4%
Close Punctuation 319
 
4.7%
Open Punctuation 319
 
4.7%
Uppercase Letter 85
 
1.3%
Space Separator 80
 
1.2%
Decimal Number 39
 
0.6%
Connector Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 339
 
6.2%
주 299
 
5.5%
산 270
 
5.0%
이 241
 
4.4%
경 203
 
3.7%
환 188
 
3.5%
엔 159
 
2.9%
한 119
 
2.2%
코 115
 
2.1%
지 97
 
1.8%
Other values (226) 3395
62.6%
Uppercase Letter
ValueCountFrequency (%)
C 29
34.1%
K 24
28.2%
S 6
 
7.1%
N 4
 
4.7%
J 4
 
4.7%
M 3
 
3.5%
R 3
 
3.5%
A 2
 
2.4%
E 2
 
2.4%
T 2
 
2.4%
Other values (6) 6
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 20
51.3%
2 19
48.7%
Other Symbol
ValueCountFrequency (%)
㈜ 499
100.0%
Close Punctuation
ValueCountFrequency (%)
) 319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 319
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5924
87.5%
Common 760
 
11.2%
Latin 85
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 499
 
8.4%
업 339
 
5.7%
주 299
 
5.0%
산 270
 
4.6%
이 241
 
4.1%
경 203
 
3.4%
환 188
 
3.2%
엔 159
 
2.7%
한 119
 
2.0%
코 115
 
1.9%
Other values (227) 3492
58.9%
Latin
ValueCountFrequency (%)
C 29
34.1%
K 24
28.2%
S 6
 
7.1%
N 4
 
4.7%
J 4
 
4.7%
M 3
 
3.5%
R 3
 
3.5%
A 2
 
2.4%
E 2
 
2.4%
T 2
 
2.4%
Other values (6) 6
 
7.1%
Common
ValueCountFrequency (%)
) 319
42.0%
( 319
42.0%
80
 
10.5%
1 20
 
2.6%
2 19
 
2.5%
_ 2
 
0.3%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5425
80.1%
ASCII 845
 
12.5%
None 499
 
7.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 499
100.0%
Hangul
ValueCountFrequency (%)
업 339
 
6.2%
주 299
 
5.5%
산 270
 
5.0%
이 241
 
4.4%
경 203
 
3.7%
환 188
 
3.5%
엔 159
 
2.9%
한 119
 
2.2%
코 115
 
2.1%
지 97
 
1.8%
Other values (226) 3395
62.6%
ASCII
ValueCountFrequency (%)
) 319
37.8%
( 319
37.8%
80
 
9.5%
C 29
 
3.4%
K 24
 
2.8%
1 20
 
2.4%
2 19
 
2.2%
S 6
 
0.7%
N 4
 
0.5%
J 4
 
0.5%
Other values (13) 21
 
2.5%

처리방법
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
재활용(중간가공폐기물 제조)
265 
재활용(원료 제조)
192 
매립(민간관리형매립시설)
150 
중간처분(일반소각)
62 
중간처분(파쇄.분쇄)
50 
Other values (24)
230 

Length

Max length19
Median length17
Mean length12.615385
Min length1

Unique

Unique6 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 265
27.9%
재활용(원료 제조) 192
20.2%
매립(민간관리형매립시설) 150
15.8%
중간처분(일반소각) 62
 
6.5%
중간처분(파쇄.분쇄) 50
 
5.3%
재활용(연료·고형연료제품 제조) 48
 
5.1%
재활용(직접 제품제조) 44
 
4.6%
중간처분(고온소각) 20
 
2.1%
재활용(성토재·복토재 등으로 사용) 18
 
1.9%
재활용(파쇄.분쇄) 18
 
1.9%
Other values (19) 82
 
8.6%

Length

2024-04-30T07:48:49.527136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 505
32.3%
재활용(중간가공폐기물 265
17.0%
재활용(원료 192
 
12.3%
매립(민간관리형매립시설 150
 
9.6%
중간처분(일반소각 62
 
4.0%
중간처분(파쇄.분쇄 50
 
3.2%
재활용(연료·고형연료제품 48
 
3.1%
재활용(직접 47
 
3.0%
제품제조 44
 
2.8%
사용 36
 
2.3%
Other values (23) 164
 
10.5%

사업장도로명주소
Text

Distinct242
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:49.819819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.398314
Min length1

Characters and Unicode

Total characters22205
Distinct characters219
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

Unique108 ?
Unique (%)11.4%

Sample

1st row전라남도 광양시 태인1길 29 (태인동)
2nd row전라남도 광양시 태인1길 29 (태인동)
3rd row전라남도 광양시 태인1길 29 (태인동)
4th row전라남도 광양시 희망길 12-7 기가타운 (금호동)
5th row전라남도 광양시 희망길 12-7 기가타운 (금호동)
ValueCountFrequency (%)
전라남도 915
19.3%
광양시 903
19.0%
금호동 355
 
7.5%
폭포사랑길 249
 
5.2%
20-26 247
 
5.2%
광양읍 198
 
4.2%
제철로 155
 
3.3%
태인동 134
 
2.8%
중동 65
 
1.4%
산업로 47
 
1.0%
Other values (369) 1481
31.2%
2024-04-30T07:48:50.321946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3871
 
17.4%
광 1144
 
5.2%
양 1138
 
5.1%
남 964
 
4.3%
도 941
 
4.2%
시 926
 
4.2%
전 918
 
4.1%
라 916
 
4.1%
2 858
 
3.9%
동 705
 
3.2%
Other values (209) 9824
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13083
58.9%
Space Separator 3871
 
17.4%
Decimal Number 3374
 
15.2%
Open Punctuation 672
 
3.0%
Close Punctuation 672
 
3.0%
Dash Punctuation 415
 
1.9%
Connector Punctuation 76
 
0.3%
Uppercase Letter 22
 
0.1%
Other Symbol 19
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1144
 
8.7%
양 1138
 
8.7%
남 964
 
7.4%
도 941
 
7.2%
시 926
 
7.1%
전 918
 
7.0%
라 916
 
7.0%
동 705
 
5.4%
길 549
 
4.2%
금 410
 
3.1%
Other values (185) 4472
34.2%
Decimal Number
ValueCountFrequency (%)
2 858
25.4%
1 510
15.1%
6 396
11.7%
0 389
11.5%
3 263
 
7.8%
4 247
 
7.3%
5 221
 
6.6%
8 178
 
5.3%
7 160
 
4.7%
9 152
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
27.3%
S 5
22.7%
O 4
18.2%
T 3
13.6%
P 2
 
9.1%
E 1
 
4.5%
M 1
 
4.5%
Space Separator
ValueCountFrequency (%)
3871
100.0%
Open Punctuation
ValueCountFrequency (%)
( 672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 415
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 76
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13102
59.0%
Common 9081
40.9%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1144
 
8.7%
양 1138
 
8.7%
남 964
 
7.4%
도 941
 
7.2%
시 926
 
7.1%
전 918
 
7.0%
라 916
 
7.0%
동 705
 
5.4%
길 549
 
4.2%
금 410
 
3.1%
Other values (186) 4491
34.3%
Common
ValueCountFrequency (%)
3871
42.6%
2 858
 
9.4%
( 672
 
7.4%
) 672
 
7.4%
1 510
 
5.6%
- 415
 
4.6%
6 396
 
4.4%
0 389
 
4.3%
3 263
 
2.9%
4 247
 
2.7%
Other values (6) 788
 
8.7%
Latin
ValueCountFrequency (%)
C 6
27.3%
S 5
22.7%
O 4
18.2%
T 3
13.6%
P 2
 
9.1%
E 1
 
4.5%
M 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13083
58.9%
ASCII 9103
41.0%
None 19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3871
42.5%
2 858
 
9.4%
( 672
 
7.4%
) 672
 
7.4%
1 510
 
5.6%
- 415
 
4.6%
6 396
 
4.4%
0 389
 
4.3%
3 263
 
2.9%
4 247
 
2.7%
Other values (13) 810
 
8.9%
Hangul
ValueCountFrequency (%)
광 1144
 
8.7%
양 1138
 
8.7%
남 964
 
7.4%
도 941
 
7.2%
시 926
 
7.1%
전 918
 
7.0%
라 916
 
7.0%
동 705
 
5.4%
길 549
 
4.2%
금 410
 
3.1%
Other values (185) 4472
34.2%
None
ValueCountFrequency (%)
㈜ 19
100.0%

사업장지번주소
Text

Distinct272
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T07:48:50.715662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length20.462592
Min length16

Characters and Unicode

Total characters19419
Distinct characters182
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

Unique125 ?
Unique (%)13.2%

Sample

1st row전라남도 광양시 태인동 1657-7
2nd row전라남도 광양시 태인동 1657-7
3rd row전라남도 광양시 태인동 1657-7
4th row전라남도 광양시 금호동 624-19 기가타운
5th row전라남도 광양시 금호동 624-19 기가타운
ValueCountFrequency (%)
전라남도 942
22.0%
광양시 929
21.7%
금호동 367
 
8.6%
700 241
 
5.6%
광양읍 204
 
4.8%
태인동 138
 
3.2%
초남리 69
 
1.6%
중동 67
 
1.6%
죽림리 51
 
1.2%
옥곡면 36
 
0.8%
Other values (363) 1237
28.9%
2024-04-30T07:48:51.356872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4221
21.7%
양 1157
 
6.0%
광 1153
 
5.9%
남 1017
 
5.2%
도 971
 
5.0%
시 950
 
4.9%
전 943
 
4.9%
라 943
 
4.9%
동 673
 
3.5%
0 672
 
3.5%
Other values (172) 6719
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10858
55.9%
Space Separator 4221
 
21.7%
Decimal Number 3754
 
19.3%
Dash Punctuation 493
 
2.5%
Uppercase Letter 22
 
0.1%
Close Punctuation 21
 
0.1%
Open Punctuation 21
 
0.1%
Other Symbol 19
 
0.1%
Other Punctuation 7
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 1157
10.7%
광 1153
10.6%
남 1017
9.4%
도 971
8.9%
시 950
8.7%
전 943
8.7%
라 943
8.7%
동 673
 
6.2%
금 423
 
3.9%
호 376
 
3.5%
Other values (147) 2252
20.7%
Decimal Number
ValueCountFrequency (%)
0 672
17.9%
1 658
17.5%
7 587
15.6%
5 315
8.4%
6 309
8.2%
3 293
7.8%
8 263
 
7.0%
2 259
 
6.9%
9 212
 
5.6%
4 186
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
27.3%
S 5
22.7%
O 4
18.2%
T 3
13.6%
P 2
 
9.1%
M 1
 
4.5%
E 1
 
4.5%
Space Separator
ValueCountFrequency (%)
4221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Other Punctuation
ValueCountFrequency (%)
: 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10877
56.0%
Common 8519
43.9%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 1157
10.6%
광 1153
10.6%
남 1017
9.4%
도 971
8.9%
시 950
8.7%
전 943
8.7%
라 943
8.7%
동 673
 
6.2%
금 423
 
3.9%
호 376
 
3.5%
Other values (148) 2271
20.9%
Common
ValueCountFrequency (%)
4221
49.5%
0 672
 
7.9%
1 658
 
7.7%
7 587
 
6.9%
- 493
 
5.8%
5 315
 
3.7%
6 309
 
3.6%
3 293
 
3.4%
8 263
 
3.1%
2 259
 
3.0%
Other values (6) 449
 
5.3%
Latin
ValueCountFrequency (%)
C 6
26.1%
S 5
21.7%
O 4
17.4%
T 3
13.0%
P 2
 
8.7%
M 1
 
4.3%
E 1
 
4.3%
b 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10858
55.9%
ASCII 8542
44.0%
None 19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4221
49.4%
0 672
 
7.9%
1 658
 
7.7%
7 587
 
6.9%
- 493
 
5.8%
5 315
 
3.7%
6 309
 
3.6%
3 293
 
3.4%
8 263
 
3.1%
2 259
 
3.0%
Other values (14) 472
 
5.5%
Hangul
ValueCountFrequency (%)
양 1157
10.7%
광 1153
10.6%
남 1017
9.4%
도 971
8.9%
시 950
8.7%
전 943
8.7%
라 943
8.7%
동 673
 
6.2%
금 423
 
3.9%
호 376
 
3.5%
Other values (147) 2252
20.7%
None
ValueCountFrequency (%)
㈜ 19
100.0%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
사업장폐기물배출자(2호)
949 

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) 949
100.0%

Length

2024-04-30T07:48:51.562630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:48:51.712471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물배출자(2호 949
100.0%

폐기물자가처리방법
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
재활용(중간가공폐기물 제조)
265 
재활용(원료 제조)
192 
매립(민간관리형매립시설)
150 
중간처분(일반소각)
62 
중간처분(파쇄.분쇄)
50 
Other values (24)
230 

Length

Max length19
Median length17
Mean length12.615385
Min length1

Unique

Unique6 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 265
27.9%
재활용(원료 제조) 192
20.2%
매립(민간관리형매립시설) 150
15.8%
중간처분(일반소각) 62
 
6.5%
중간처분(파쇄.분쇄) 50
 
5.3%
재활용(연료·고형연료제품 제조) 48
 
5.1%
재활용(직접 제품제조) 44
 
4.6%
중간처분(고온소각) 20
 
2.1%
재활용(성토재·복토재 등으로 사용) 18
 
1.9%
재활용(파쇄.분쇄) 18
 
1.9%
Other values (19) 82
 
8.6%

Length

2024-04-30T07:48:51.883992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 505
32.3%
재활용(중간가공폐기물 265
17.0%
재활용(원료 192
 
12.3%
매립(민간관리형매립시설 150
 
9.6%
중간처분(일반소각 62
 
4.0%
중간처분(파쇄.분쇄 50
 
3.2%
재활용(연료·고형연료제품 48
 
3.1%
재활용(직접 47
 
3.0%
제품제조 44
 
2.8%
사용 36
 
2.3%
Other values (23) 164
 
10.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2024-04-19 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T07:48:51.982084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:48:52.068137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T07:48:45.446781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:48:52.140336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도생활계구분폐기물 종류처리방법폐기물자가처리방법
신고기준년도1.0000.5110.6610.5420.542
생활계구분0.5111.0000.7390.4910.491
폐기물 종류0.6610.7391.0000.9680.968
처리방법0.5420.4910.9681.0001.000
폐기물자가처리방법0.5420.4910.9681.0001.000
2024-04-30T07:48:52.241159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생활계구분폐기물자가처리방법처리방법
생활계구분1.0000.2730.273
폐기물자가처리방법0.2731.0001.000
처리방법0.2731.0001.000
2024-04-30T07:48:52.323368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도생활계구분처리방법폐기물자가처리방법
신고기준년도1.0000.3330.2210.221
생활계구분0.3331.0000.2730.273
처리방법0.2210.2731.0001.000
폐기물자가처리방법0.2210.2731.0001.000

Missing values

2024-04-30T07:48:45.664164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:48:45.841928image/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

상호전화번호신고기준년도생활계구분폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분폐기물자가처리방법데이터기준일자
0㈜피앤오케미칼061-797-96122022배출시설계그 밖의 폐목재류(주)녹색환경산업(주)녹색환경산업재활용(중간가공폐기물 제조)전라남도 광양시 태인1길 29 (태인동)전라남도 광양시 태인동 1657-7사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
1㈜피앤오케미칼061-797-96122022배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)(주)녹색환경산업케이씨환경서비스(주)중간처분(일반소각)전라남도 광양시 태인1길 29 (태인동)전라남도 광양시 태인동 1657-7사업장폐기물배출자(2호)중간처분(일반소각)2024-04-19
2㈜피앤오케미칼061-797-96122022배출시설계폐유리(주)녹색환경산업인선이엔티(주)광양매립(민간관리형매립시설)전라남도 광양시 태인1길 29 (태인동)전라남도 광양시 태인동 1657-7사업장폐기물배출자(2호)매립(민간관리형매립시설)2024-04-19
3(주)포스코O&M061-799-34062022비배출시설계음식물류폐기물태양환경(주)(주)그린에코바이오재활용(중간가공폐기물 제조)전라남도 광양시 희망길 12-7 기가타운 (금호동)전라남도 광양시 금호동 624-19 기가타운사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
4(주)포스코O&M061-799-34062022비배출시설계그 밖의 폐기물태양환경(주)태양환경(주)재활용(중간가공폐기물 제조)전라남도 광양시 희망길 12-7 기가타운 (금호동)전라남도 광양시 금호동 624-19 기가타운사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
5(주)포스코O&M061-799-34062022비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)태양환경(주)태양환경(주)재활용(중간가공폐기물 제조)전라남도 광양시 희망길 12-7 기가타운 (금호동)전라남도 광양시 금호동 624-19 기가타운사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
6주식회사 가야리사이클061-762-12332022배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)청양산업(주)(주)대명환경개발재활용(중간가공폐기물 제조)전라남도 광양시 광양읍 인덕로 1184전라남도 광양시 광양읍 구산리 88-1사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
7(주)다원녹화건설<NA>2022배출시설계임목폐목재(건설공사 산지개간 등의 과정에서 발생된 나무뿌리 가지 줄기 등을 말한다)농업회사법인대한임업(주)농업회사법인대한임업(주)재활용(직접 제품제조)경기도 과천시 별양상가1로 13 교보빌딩 7층 (별양동)경기도 과천시 별양동 1-16 교보빌딩사업장폐기물배출자(2호)재활용(직접 제품제조)2024-04-19
8에스에이치 산업<NA>2022비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)(주)광양환경(주)광양환경재활용(중간가공폐기물 제조)전라남도 광양시 광양읍 백운로 314-1전라남도 광양시 광양읍 사곡리 1170-3사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
9(주)정석061-761-04552022비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)서기산업(주)금천산업(주)재활용(중간가공폐기물 제조)전라남도 광양시 광양읍 덕례길 9-1, 2층전라남도 광양시 광양읍 덕례리 1669-13사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
상호전화번호신고기준년도생활계구분폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분폐기물자가처리방법데이터기준일자
939(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진㈜대원특수㈜케이에스티재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
940(주)포스코 광양제철소061-790-24942009배출시설계그 밖의 폐금속류㈜대원특수㈜케이에스티재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
941(주)포스코 광양제철소061-790-24942009생활계그 밖의 폐목재류㈜녹색환경산업㈜묘도환경산업재활용(직접 제품제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(직접 제품제조)2024-04-19
942(주)포스코 광양제철소061-790-24942009생활계그 밖의 폐목재류㈜묘도환경산업㈜묘도환경산업재활용(직접 제품제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(직접 제품제조)2024-04-19
943(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진(유)세림상운(유)세림상운재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
944(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진㈜벽진(유)세림상운재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
945(주)포스코 광양제철소061-790-24942009배출시설계그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다)㈜그린자원(사)한국장애인고용안정협회재활용(중간가공폐기물 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-19
946(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진명신기업㈜케이에스티재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
947(주)포스코 광양제철소061-790-24942009배출시설계그 밖의 폐금속류㈜명성산업개발케이에스씨주식회사재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-19
948(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진(유)세림상운부산그린파워㈜매립(민간관리형매립시설)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)매립(민간관리형매립시설)2024-04-19

Duplicate rows

Most frequently occurring

상호전화번호신고기준년도생활계구분폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분폐기물자가처리방법데이터기준일자# duplicates
2아주통신(주)061-723-30002021배출시설계폐전주(폐애자 폐근가 및 폐합성수지제 커버류 등을 포함한다)동광전업(주)순창공장동광전업(주)순창공장재활용(직접 제품제조)전라남도 순천시 해룡면 상성길 209전라남도 순천시 해룡면 상삼리 173-3사업장폐기물배출자(2호)재활용(직접 제품제조)2024-04-195
3아주통신(주)061-723-30002021배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)건우환경산업건우환경산업재활용(중간가공폐기물 제조)전라남도 순천시 해룡면 상성길 209전라남도 순천시 해룡면 상삼리 173-3사업장폐기물배출자(2호)재활용(중간가공폐기물 제조)2024-04-195
0(주)포스코 광양제철소061-790-24942009배출시설계제철공정분진명신기업㈜케이에스티재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-192
1㈜포스코 광양제철소061-790-24902018배출시설계제철공정분진명신기업㈜케이에스티재활용(원료 제조)전라남도 광양시 폭포사랑길 20-26 (금호동)전라남도 광양시 금호동 700사업장폐기물배출자(2호)재활용(원료 제조)2024-04-192