Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells3
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory69.6 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description부산광역시 동구 관내 사업장폐기물배출자 등 신고 현황에 대한 데이터로 사업장폐기물배출자 폐기물 내용 업체 처리방법 연락처
Author부산광역시 동구
URLhttps://www.data.go.kr/data/15081096/fileData.do

Alerts

데이터기준일 has constant value ""Constant
처리방법 is highly overall correlated with 폐기물 종류High correlation
폐기물 종류 is highly overall correlated with 처리방법High correlation
연락처 has 3 (10.3%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
영업자 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:11:23.189420
Analysis finished2023-12-12 04:11:24.161686
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T13:11:24.251578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-12T13:11:24.455909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

업소명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:11:24.774740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.9655172
Min length3

Characters and Unicode

Total characters260
Distinct characters117
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

Unique29 ?
Unique (%)100.0%

Sample

1st row한국허치슨터미널
2nd row현대백화점 부산점
3rd row삼성화재해상보험
4th row케이티에스테이트
5th row(사)자유시장번영회
ValueCountFrequency (%)
의료법인 3
 
7.7%
한국허치슨터미널 1
 
2.6%
삼성마리타임 1
 
2.6%
정화의료재단 1
 
2.6%
봉생병원 1
 
2.6%
엠앤에스 1
 
2.6%
진명마리타임 1
 
2.6%
부산항업 1
 
2.6%
합동교역 1
 
2.6%
서강의료재단 1
 
2.6%
Other values (27) 27
69.2%
2023-12-12T13:11:25.329647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
5.0%
의 8
 
3.1%
부 7
 
2.7%
) 7
 
2.7%
료 7
 
2.7%
( 7
 
2.7%
병 6
 
2.3%
원 6
 
2.3%
재 6
 
2.3%
산 6
 
2.3%
Other values (107) 187
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
87.7%
Space Separator 13
 
5.0%
Close Punctuation 7
 
2.7%
Open Punctuation 7
 
2.7%
Uppercase Letter 4
 
1.5%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 8
 
3.5%
부 7
 
3.1%
료 7
 
3.1%
병 6
 
2.6%
원 6
 
2.6%
재 6
 
2.6%
산 6
 
2.6%
에 5
 
2.2%
스 5
 
2.2%
인 5
 
2.2%
Other values (99) 167
73.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
Y 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
87.7%
Common 28
 
10.8%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 8
 
3.5%
부 7
 
3.1%
료 7
 
3.1%
병 6
 
2.6%
원 6
 
2.6%
재 6
 
2.6%
산 6
 
2.6%
에 5
 
2.2%
스 5
 
2.2%
인 5
 
2.2%
Other values (99) 167
73.2%
Common
ValueCountFrequency (%)
13
46.4%
) 7
25.0%
( 7
25.0%
, 1
 
3.6%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
Y 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
87.7%
ASCII 32
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
40.6%
) 7
21.9%
( 7
21.9%
A 1
 
3.1%
, 1
 
3.1%
C 1
 
3.1%
Y 1
 
3.1%
M 1
 
3.1%
Hangul
ValueCountFrequency (%)
의 8
 
3.5%
부 7
 
3.1%
료 7
 
3.1%
병 6
 
2.6%
원 6
 
2.6%
재 6
 
2.6%
산 6
 
2.6%
에 5
 
2.2%
스 5
 
2.2%
인 5
 
2.2%
Other values (99) 167
73.2%

영업자
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:11:25.626462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.862069
Min length2

Characters and Unicode

Total characters112
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row정호수
2nd row경청호 하병호 정지선
3rd row김창수
4th row이창배
5th row정병순
ValueCountFrequency (%)
정호수 1
 
3.2%
전몽규 1
 
3.2%
최영호 1
 
3.2%
김보경 1
 
3.2%
이훈 1
 
3.2%
서재홍 1
 
3.2%
윤해종 1
 
3.2%
장영국외1 1
 
3.2%
김한택 1
 
3.2%
이윤재 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T13:11:26.085200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
7.1%
이 5
 
4.5%
호 4
 
3.6%
정 3
 
2.7%
경 3
 
2.7%
영 3
 
2.7%
부 3
 
2.7%
택 2
 
1.8%
화 2
 
1.8%
외 2
 
1.8%
Other values (60) 77
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
94.6%
Decimal Number 2
 
1.8%
Space Separator 2
 
1.8%
Open Punctuation 1
 
0.9%
Close Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
7.5%
이 5
 
4.7%
호 4
 
3.8%
정 3
 
2.8%
경 3
 
2.8%
영 3
 
2.8%
부 3
 
2.8%
택 2
 
1.9%
화 2
 
1.9%
외 2
 
1.9%
Other values (56) 71
67.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106
94.6%
Common 6
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
7.5%
이 5
 
4.7%
호 4
 
3.8%
정 3
 
2.8%
경 3
 
2.8%
영 3
 
2.8%
부 3
 
2.8%
택 2
 
1.9%
화 2
 
1.9%
외 2
 
1.9%
Other values (56) 71
67.0%
Common
ValueCountFrequency (%)
1 2
33.3%
2
33.3%
( 1
16.7%
) 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
94.6%
ASCII 6
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
7.5%
이 5
 
4.7%
호 4
 
3.8%
정 3
 
2.8%
경 3
 
2.8%
영 3
 
2.8%
부 3
 
2.8%
택 2
 
1.9%
화 2
 
1.9%
외 2
 
1.9%
Other values (56) 71
67.0%
ASCII
ValueCountFrequency (%)
1 2
33.3%
2
33.3%
( 1
16.7%
) 1
16.7%

소재지주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:11:26.416497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length17.482759
Min length7

Characters and Unicode

Total characters507
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row중앙대로 1116 좌천동 1116
2nd row범일로 125
3rd row중앙대로 184 초량1동 1205-22
4th row자성공원로 23 범일2동 830-29
5th row조방로 48 범일2동 830-24
ValueCountFrequency (%)
중앙대로 11
 
11.2%
충장대로 6
 
6.1%
동구 4
 
4.1%
초량3동 3
 
3.1%
범일2동 3
 
3.1%
중앙대로214번길 2
 
2.0%
1116 2
 
2.0%
314 2
 
2.0%
초량동 2
 
2.0%
중구 2
 
2.0%
Other values (58) 61
62.2%
2023-12-12T13:11:26.872768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
13.6%
1 47
 
9.3%
로 30
 
5.9%
2 27
 
5.3%
동 25
 
4.9%
대 23
 
4.5%
4 21
 
4.1%
3 21
 
4.1%
중 20
 
3.9%
앙 18
 
3.6%
Other values (55) 206
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
44.2%
Decimal Number 181
35.7%
Space Separator 69
 
13.6%
Dash Punctuation 15
 
3.0%
Close Punctuation 6
 
1.2%
Open Punctuation 6
 
1.2%
Other Punctuation 5
 
1.0%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 30
13.4%
동 25
 
11.2%
대 23
 
10.3%
중 20
 
8.9%
앙 18
 
8.0%
초 9
 
4.0%
량 9
 
4.0%
길 7
 
3.1%
구 7
 
3.1%
장 7
 
3.1%
Other values (39) 69
30.8%
Decimal Number
ValueCountFrequency (%)
1 47
26.0%
2 27
14.9%
4 21
11.6%
3 21
11.6%
8 14
 
7.7%
6 14
 
7.7%
0 13
 
7.2%
9 12
 
6.6%
5 7
 
3.9%
7 5
 
2.8%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
55.6%
Hangul 225
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 30
13.3%
동 25
 
11.1%
대 23
 
10.2%
중 20
 
8.9%
앙 18
 
8.0%
초 9
 
4.0%
량 9
 
4.0%
길 7
 
3.1%
구 7
 
3.1%
장 7
 
3.1%
Other values (40) 70
31.1%
Common
ValueCountFrequency (%)
69
24.5%
1 47
16.7%
2 27
 
9.6%
4 21
 
7.4%
3 21
 
7.4%
- 15
 
5.3%
8 14
 
5.0%
6 14
 
5.0%
0 13
 
4.6%
9 12
 
4.3%
Other values (5) 29
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
55.6%
Hangul 224
44.2%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
24.5%
1 47
16.7%
2 27
 
9.6%
4 21
 
7.4%
3 21
 
7.4%
- 15
 
5.3%
8 14
 
5.0%
6 14
 
5.0%
0 13
 
4.6%
9 12
 
4.3%
Other values (5) 29
10.3%
Hangul
ValueCountFrequency (%)
로 30
13.4%
동 25
 
11.2%
대 23
 
10.3%
중 20
 
8.9%
앙 18
 
8.0%
초 9
 
4.0%
량 9
 
4.0%
길 7
 
3.1%
구 7
 
3.1%
장 7
 
3.1%
Other values (39) 69
30.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

연락처
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing3
Missing (%)10.3%
Memory size364.0 B
2023-12-12T13:11:27.117211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row051-630-8217
2nd row051-667-0014
3rd row051-461-8118
4th row051-638-3602
5th row051-632-8785
ValueCountFrequency (%)
051-460-5266 1
 
3.8%
051-461-8118 1
 
3.8%
051-664-4752 1
 
3.8%
051-316-3721 1
 
3.8%
051-922-0112 1
 
3.8%
051-409-8888 1
 
3.8%
051-442-5550 1
 
3.8%
051-638-6792 1
 
3.8%
051-715-8575 1
 
3.8%
051-469-7021 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T13:11:27.475046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.7%
0 51
16.3%
1 45
14.4%
5 39
12.5%
6 29
9.3%
4 25
8.0%
3 18
 
5.8%
8 17
 
5.4%
2 15
 
4.8%
7 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
19.6%
1 45
17.3%
5 39
15.0%
6 29
11.2%
4 25
9.6%
3 18
 
6.9%
8 17
 
6.5%
2 15
 
5.8%
7 13
 
5.0%
9 8
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.7%
0 51
16.3%
1 45
14.4%
5 39
12.5%
6 29
9.3%
4 25
8.0%
3 18
 
5.8%
8 17
 
5.4%
2 15
 
4.8%
7 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.7%
0 51
16.3%
1 45
14.4%
5 39
12.5%
6 29
9.3%
4 25
8.0%
3 18
 
5.8%
8 17
 
5.4%
2 15
 
4.8%
7 13
 
4.2%

폐기물 종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
그 밖의 폐기물
20 
음식물류폐기물
5 
폐합성수지류
4 

Length

Max length8
Median length8
Mean length7.5517241
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row그 밖의 폐기물
2nd row그 밖의 폐기물
3rd row그 밖의 폐기물
4th row그 밖의 폐기물
5th row음식물류폐기물

Common Values

ValueCountFrequency (%)
그 밖의 폐기물 20
69.0%
음식물류폐기물 5
 
17.2%
폐합성수지류 4
 
13.8%

Length

2023-12-12T13:11:27.643888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:11:27.756729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그 20
29.0%
밖의 20
29.0%
폐기물 20
29.0%
음식물류폐기물 5
 
7.2%
폐합성수지류 4
 
5.8%

처리방법
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
매립
20 
재활용(농업생산활동에 사용)
5 
중간처분(파쇄.분쇄)
 
2
재활용(중간가공폐기물 제조)
 
1
재활용(연료·고형연료제품 제조)
 
1

Length

Max length17
Median length2
Mean length5.8275862
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row매립
2nd row매립
3rd row매립
4th row매립
5th row재활용(농업생산활동에 사용)

Common Values

ValueCountFrequency (%)
매립 20
69.0%
재활용(농업생산활동에 사용) 5
 
17.2%
중간처분(파쇄.분쇄) 2
 
6.9%
재활용(중간가공폐기물 제조) 1
 
3.4%
재활용(연료·고형연료제품 제조) 1
 
3.4%

Length

2023-12-12T13:11:27.880570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:11:28.011054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매립 20
55.6%
재활용(농업생산활동에 5
 
13.9%
사용 5
 
13.9%
중간처분(파쇄.분쇄 2
 
5.6%
제조 2
 
5.6%
재활용(중간가공폐기물 1
 
2.8%
재활용(연료·고형연료제품 1
 
2.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2022-05-06 00:00:00
Maximum2022-05-06 00:00:00
2023-12-12T13:11:28.130837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:11:28.236290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:11:23.688860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:11:28.322346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업자소재지주소연락처폐기물 종류처리방법
연번1.0001.0001.0001.0001.0000.5320.784
업소명1.0001.0001.0001.0001.0001.0001.000
영업자1.0001.0001.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
폐기물 종류0.5321.0001.0001.0001.0001.0001.000
처리방법0.7841.0001.0001.0001.0001.0001.000
2023-12-12T13:11:28.445107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법폐기물 종류
처리방법1.0000.961
폐기물 종류0.9611.000
2023-12-12T13:11:28.556162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번폐기물 종류처리방법
연번1.0000.2580.303
폐기물 종류0.2581.0000.961
처리방법0.3030.9611.000

Missing values

2023-12-12T13:11:23.859197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:11:24.087253image/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

연번업소명영업자소재지주소연락처폐기물 종류처리방법데이터기준일
01한국허치슨터미널정호수중앙대로 1116 좌천동 1116051-630-8217그 밖의 폐기물매립2022-05-06
12현대백화점 부산점경청호 하병호 정지선범일로 125051-667-0014그 밖의 폐기물매립2022-05-06
23삼성화재해상보험김창수중앙대로 184 초량1동 1205-22051-461-8118그 밖의 폐기물매립2022-05-06
34케이티에스테이트이창배자성공원로 23 범일2동 830-29051-638-3602그 밖의 폐기물매립2022-05-06
45(사)자유시장번영회정병순조방로 48 범일2동 830-24051-632-8785음식물류폐기물재활용(농업생산활동에 사용)2022-05-06
56한국철도공사 부산경남본부부산경남본부장(이건태)중앙대로 206 초량3동 1187-1051-440-2158음식물류폐기물재활용(농업생산활동에 사용)2022-05-06
67(사)부산진시장번영회권택준범일2동 290(진시장로 24)<NA>음식물류폐기물재활용(농업생산활동에 사용)2022-05-06
78좋은문화병원문화숙외1명범일로 119 범일동 899-8051-630-0848그 밖의 폐기물매립2022-05-06
89(재)한,호 기독교선교회 일신기독병원인명진성남이로5버길 8(좌천1동 471)051-630-0391그 밖의 폐기물매립2022-05-06
910토요코인코리아부산역점오오미치카즈노리중앙대로196번길 16-8 초량동 1203-5051-466-1045그 밖의 폐기물매립2022-05-06
연번업소명영업자소재지주소연락처폐기물 종류처리방법데이터기준일
1920합동교역조금제중구 충장대로 24동구 충장대로 206(초량동)051-463-6147그 밖의 폐기물매립2022-05-06
2021삼성마리타임이윤재동구 중앙대로236번길 7-3,501호(초량동)051-469-7021그 밖의 폐기물매립2022-05-06
2122의료법인 서강의료재단김한택동구 중앙대로 514051-715-8575그 밖의 폐기물매립2022-05-06
2223참숯골장영국외1동구 조방로49번길 25(범일동)051-638-6792음식물류폐기물재활용(농업생산활동에 사용)2022-05-06
2324청해마린윤해종중앙대로214번길 3-12,동서빌딩 601호051-442-5550그 밖의 폐기물매립2022-05-06
2425아스티호텔서재홍중앙대로214번길 7-8, 지하4층051-409-8888음식물류폐기물재활용(농업생산활동에 사용)2022-05-06
2526라마다앙코르부산역호텔이훈중앙대로 196051-922-0112폐합성수지류재활용(연료·고형연료제품 제조)2022-05-06
2627더블유케이에너지김보경충장대로 286051-316-3721폐합성수지류중간처분(파쇄.분쇄)2022-05-06
2728(의법)나라의료재단 제일나라요양병원최영호중앙대로 421<NA>그 밖의 폐기물매립2022-05-06
2829태주항업박철규중앙대로 169, 태영 노블리안051-462-5700폐합성수지류중간처분(파쇄.분쇄)2022-05-06