Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory68.1 B

Variable types

Categorical4
Text3
Numeric1

Dataset

Description부산광역시 북구 관내 폐기물 배출자 신고현황 데이터로 폐기물구분(사업장/지정), 업소명, 주소, 연락처, 신고연도, 폐기물종류, 처리방법 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15060407/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
폐기물종류 is highly overall correlated with 폐기물구분 and 1 other fieldsHigh correlation
처리방법 is highly overall correlated with 폐기물구분 and 1 other fieldsHigh correlation
폐기물구분 is highly overall correlated with 폐기물종류 and 1 other fieldsHigh correlation
폐기물구분 is highly imbalanced (79.9%)Imbalance
업소명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:19:02.929020
Analysis finished2023-12-12 04:19:04.088984
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
사업장(비배출시설계)
41 
사업장(배출시설계)
 
1
지정(의료 제외)
 
1

Length

Max length11
Median length11
Mean length10.930233
Min length9

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row사업장(비배출시설계)
2nd row사업장(비배출시설계)
3rd row사업장(비배출시설계)
4th row사업장(비배출시설계)
5th row사업장(비배출시설계)

Common Values

ValueCountFrequency (%)
사업장(비배출시설계) 41
95.3%
사업장(배출시설계) 1
 
2.3%
지정(의료 제외) 1
 
2.3%

Length

2023-12-12T13:19:04.187162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:04.360194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장(비배출시설계 41
93.2%
사업장(배출시설계 1
 
2.3%
지정(의료 1
 
2.3%
제외 1
 
2.3%

업소명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T13:19:04.587245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.4186047
Min length4

Characters and Unicode

Total characters405
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row구포성심병원
2nd row정이있는구포시장
3rd row구포축산물도매시장 상인회
4th row한중프라임 장례식장
5th row포천초등학교
ValueCountFrequency (%)
덕천점 3
 
4.8%
의료법인 2
 
3.2%
구포성심병원 1
 
1.6%
구포일심요양병원 1
 
1.6%
삼정고등학교 1
 
1.6%
낙동고등학교 1
 
1.6%
㈜서원유통 1
 
1.6%
탑마트 1
 
1.6%
구포점 1
 
1.6%
윤프라자 1
 
1.6%
Other values (49) 49
79.0%
2023-12-12T13:19:05.033260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
4.7%
원 15
 
3.7%
교 14
 
3.5%
학 12
 
3.0%
병 11
 
2.7%
부 9
 
2.2%
천 9
 
2.2%
점 9
 
2.2%
명 8
 
2.0%
화 8
 
2.0%
Other values (133) 291
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
92.6%
Space Separator 19
 
4.7%
Other Symbol 4
 
1.0%
Uppercase Letter 3
 
0.7%
Decimal Number 1
 
0.2%
Open Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 15
 
4.0%
교 14
 
3.7%
학 12
 
3.2%
병 11
 
2.9%
부 9
 
2.4%
천 9
 
2.4%
점 9
 
2.4%
명 8
 
2.1%
화 8
 
2.1%
포 8
 
2.1%
Other values (124) 272
72.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
93.6%
Common 23
 
5.7%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 15
 
4.0%
교 14
 
3.7%
학 12
 
3.2%
병 11
 
2.9%
부 9
 
2.4%
천 9
 
2.4%
점 9
 
2.4%
명 8
 
2.1%
화 8
 
2.1%
포 8
 
2.1%
Other values (125) 276
72.8%
Common
ValueCountFrequency (%)
19
82.6%
3 1
 
4.3%
( 1
 
4.3%
, 1
 
4.3%
) 1
 
4.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
92.6%
ASCII 26
 
6.4%
None 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
73.1%
T 1
 
3.8%
3 1
 
3.8%
N 1
 
3.8%
G 1
 
3.8%
( 1
 
3.8%
, 1
 
3.8%
) 1
 
3.8%
Hangul
ValueCountFrequency (%)
원 15
 
4.0%
교 14
 
3.7%
학 12
 
3.2%
병 11
 
2.9%
부 9
 
2.4%
천 9
 
2.4%
점 9
 
2.4%
명 8
 
2.1%
화 8
 
2.1%
포 8
 
2.1%
Other values (124) 272
72.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

업소도로명주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T13:19:05.303710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length19.534884
Min length16

Characters and Unicode

Total characters840
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row부산광역시 북구 낙동대로 1786
2nd row부산광역시 북구 구포시장길 9
3rd row부산광역시 북구 사상로583번길 25
4th row부산광역시 북구 낙동대로 1596
5th row부산광역시 북구 시랑로 115
ValueCountFrequency (%)
부산광역시 43
24.6%
북구 43
24.6%
금곡대로 7
 
4.0%
낙동대로 4
 
2.3%
만덕대로 4
 
2.3%
화명대로 3
 
1.7%
기찰로 2
 
1.1%
백양대로 2
 
1.1%
23 2
 
1.1%
268 2
 
1.1%
Other values (63) 63
36.0%
2023-12-12T13:19:05.767360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
15.7%
시 48
 
5.7%
구 47
 
5.6%
산 45
 
5.4%
부 43
 
5.1%
광 43
 
5.1%
역 43
 
5.1%
북 43
 
5.1%
로 41
 
4.9%
1 34
 
4.0%
Other values (49) 321
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
63.1%
Decimal Number 141
 
16.8%
Space Separator 132
 
15.7%
Open Punctuation 15
 
1.8%
Close Punctuation 15
 
1.8%
Dash Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 48
 
9.1%
구 47
 
8.9%
산 45
 
8.5%
부 43
 
8.1%
광 43
 
8.1%
역 43
 
8.1%
북 43
 
8.1%
로 41
 
7.7%
대 24
 
4.5%
동 19
 
3.6%
Other values (34) 134
25.3%
Decimal Number
ValueCountFrequency (%)
1 34
24.1%
2 18
12.8%
6 16
11.3%
8 15
10.6%
5 12
 
8.5%
3 11
 
7.8%
9 10
 
7.1%
4 10
 
7.1%
7 9
 
6.4%
0 6
 
4.3%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
63.1%
Common 310
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 48
 
9.1%
구 47
 
8.9%
산 45
 
8.5%
부 43
 
8.1%
광 43
 
8.1%
역 43
 
8.1%
북 43
 
8.1%
로 41
 
7.7%
대 24
 
4.5%
동 19
 
3.6%
Other values (34) 134
25.3%
Common
ValueCountFrequency (%)
132
42.6%
1 34
 
11.0%
2 18
 
5.8%
6 16
 
5.2%
( 15
 
4.8%
) 15
 
4.8%
8 15
 
4.8%
5 12
 
3.9%
3 11
 
3.5%
9 10
 
3.2%
Other values (5) 32
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
63.1%
ASCII 310
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
42.6%
1 34
 
11.0%
2 18
 
5.8%
6 16
 
5.2%
( 15
 
4.8%
) 15
 
4.8%
8 15
 
4.8%
5 12
 
3.9%
3 11
 
3.5%
9 10
 
3.2%
Other values (5) 32
 
10.3%
Hangul
ValueCountFrequency (%)
시 48
 
9.1%
구 47
 
8.9%
산 45
 
8.5%
부 43
 
8.1%
광 43
 
8.1%
역 43
 
8.1%
북 43
 
8.1%
로 41
 
7.7%
대 24
 
4.5%
동 19
 
3.6%
Other values (34) 134
25.3%

연락처
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-12T13:19:06.081391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.813953
Min length1

Characters and Unicode

Total characters508
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

Unique43 ?
Unique (%)100.0%

Sample

1st row051-333-2031
2nd row051-333-9033
3rd row051-301-3517
4th row051-305-4000
5th row051-366-3309
ValueCountFrequency (%)
051-333-2031 1
 
2.3%
070-4340-6088 1
 
2.3%
051-362-6461 1
 
2.3%
051-361-9806 1
 
2.3%
051-366-2675 1
 
2.3%
051-331-3000 1
 
2.3%
070-8111-2278 1
 
2.3%
051-600-6503 1
 
2.3%
051-332-7575 1
 
2.3%
051-341-0119 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T13:19:06.528790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
19.5%
3 86
16.9%
- 85
16.7%
5 65
12.8%
1 63
12.4%
6 37
 
7.3%
7 19
 
3.7%
9 15
 
3.0%
2 14
 
2.8%
8 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 423
83.3%
Dash Punctuation 85
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
23.4%
3 86
20.3%
5 65
15.4%
1 63
14.9%
6 37
 
8.7%
7 19
 
4.5%
9 15
 
3.5%
2 14
 
3.3%
8 14
 
3.3%
4 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 508
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
19.5%
3 86
16.9%
- 85
16.7%
5 65
12.8%
1 63
12.4%
6 37
 
7.3%
7 19
 
3.7%
9 15
 
3.0%
2 14
 
2.8%
8 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 508
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
19.5%
3 86
16.9%
- 85
16.7%
5 65
12.8%
1 63
12.4%
6 37
 
7.3%
7 19
 
3.7%
9 15
 
3.0%
2 14
 
2.8%
8 14
 
2.8%

신고연도
Real number (ℝ)

Distinct17
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.5814
Minimum1996
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T13:19:06.707661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile1998
Q12000.5
median2015
Q32016.5
95-th percentile2019.9
Maximum2023
Range27
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.6718827
Coefficient of variation (CV)0.0043152682
Kurtosis-1.5520639
Mean2009.5814
Median Absolute Deviation (MAD)5
Skewness-0.27739435
Sum86412
Variance75.20155
MonotonicityNot monotonic
2023-12-12T13:19:06.870676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1998 7
16.3%
2015 6
14.0%
2017 5
11.6%
2016 5
11.6%
2003 3
7.0%
2019 3
7.0%
1996 2
 
4.7%
2004 2
 
4.7%
2000 2
 
4.7%
2023 1
 
2.3%
Other values (7) 7
16.3%
ValueCountFrequency (%)
1996 2
 
4.7%
1998 7
16.3%
2000 2
 
4.7%
2001 1
 
2.3%
2003 3
7.0%
2004 2
 
4.7%
2005 1
 
2.3%
2010 1
 
2.3%
2011 1
 
2.3%
2013 1
 
2.3%
ValueCountFrequency (%)
2023 1
 
2.3%
2022 1
 
2.3%
2020 1
 
2.3%
2019 3
7.0%
2017 5
11.6%
2016 5
11.6%
2015 6
14.0%
2013 1
 
2.3%
2011 1
 
2.3%
2010 1
 
2.3%

폐기물종류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
생활, 음식물
21 
생활, 음식물, 재활용
6 
생활, 음식물, 재활용, 기타
4 
생활, 음식물, 기타
4 
생활
3 
Other values (5)
5 

Length

Max length16
Median length15
Mean length8.8372093
Min length2

Unique

Unique5 ?
Unique (%)11.6%

Sample

1st row생활, 음식물, 재활용
2nd row생활, 음식물, 재활용, 기타
3rd row생활
4th row생활, 음식물, 재활용
5th row생활, 음식물, 재활용

Common Values

ValueCountFrequency (%)
생활, 음식물 21
48.8%
생활, 음식물, 재활용 6
 
14.0%
생활, 음식물, 재활용, 기타 4
 
9.3%
생활, 음식물, 기타 4
 
9.3%
생활 3
 
7.0%
생활, 재활용, 기타 1
 
2.3%
생활, 음식물쓰레기 1
 
2.3%
폐합성수지 1
 
2.3%
정수처리오니 1
 
2.3%
폐황산이 포함된 2차폐축전지 1
 
2.3%

Length

2023-12-12T13:19:07.056253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:07.265598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활 40
39.6%
음식물 35
34.7%
재활용 11
 
10.9%
기타 9
 
8.9%
음식물쓰레기 1
 
1.0%
폐합성수지 1
 
1.0%
정수처리오니 1
 
1.0%
폐황산이 1
 
1.0%
포함된 1
 
1.0%
2차폐축전지 1
 
1.0%

처리방법
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
일반(소각, 매립, 고형연료화), 음식물(농업생산활동)
24 
일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)
11 
일반(소각, 매립, 고형연료화)
4 
일반(소각, 매립, 고형연료화), 음식물(중간가공폐기물제조)
 
1
일반(소각)
 
1
Other values (2)
 
2

Length

Max length41
Median length30
Mean length30.511628
Min length6

Unique

Unique4 ?
Unique (%)9.3%

Sample

1st row일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)
2nd row일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)
3rd row일반(소각, 매립, 고형연료화)
4th row일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)
5th row일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)

Common Values

ValueCountFrequency (%)
일반(소각, 매립, 고형연료화), 음식물(농업생산활동) 24
55.8%
일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조) 11
25.6%
일반(소각, 매립, 고형연료화) 4
 
9.3%
일반(소각, 매립, 고형연료화), 음식물(중간가공폐기물제조) 1
 
2.3%
일반(소각) 1
 
2.3%
재활용(중간가공폐기물제조) 1
 
2.3%
재활용(원료제조, 중간가공폐기물제조) 1
 
2.3%

Length

2023-12-12T13:19:07.467322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:07.633388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반(소각 41
24.0%
매립 40
23.4%
고형연료화 40
23.4%
음식물(농업생산활동 35
20.5%
중간가공폐기물제조 12
 
7.0%
음식물(중간가공폐기물제조 1
 
0.6%
재활용(중간가공폐기물제조 1
 
0.6%
재활용(원료제조 1
 
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-07-13
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-13
2nd row2023-07-13
3rd row2023-07-13
4th row2023-07-13
5th row2023-07-13

Common Values

ValueCountFrequency (%)
2023-07-13 43
100.0%

Length

2023-12-12T13:19:07.828605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:19:07.976329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-13 43
100.0%

Interactions

2023-12-12T13:19:03.348797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:19:08.070872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분업소명업소도로명주소연락처신고연도폐기물종류처리방법
폐기물구분1.0001.0001.0001.0000.2121.0001.000
업소명1.0001.0001.0001.0001.0001.0001.000
업소도로명주소1.0001.0001.0001.0000.9370.9820.991
연락처1.0001.0001.0001.0001.0001.0001.000
신고연도0.2121.0000.9371.0001.0000.6920.000
폐기물종류1.0001.0000.9821.0000.6921.0000.921
처리방법1.0001.0000.9911.0000.0000.9211.000
2023-12-12T13:19:08.225480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물종류처리방법폐기물구분
폐기물종류1.0000.7640.908
처리방법0.7641.0000.949
폐기물구분0.9080.9491.000
2023-12-12T13:19:08.356121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고연도폐기물구분폐기물종류처리방법
신고연도1.0000.0000.3660.000
폐기물구분0.0001.0000.9080.949
폐기물종류0.3660.9081.0000.764
처리방법0.0000.9490.7641.000

Missing values

2023-12-12T13:19:03.477792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:19:04.019107image/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

폐기물구분업소명업소도로명주소연락처신고연도폐기물종류처리방법데이터기준일자
0사업장(비배출시설계)구포성심병원부산광역시 북구 낙동대로 1786051-333-20311998생활, 음식물, 재활용일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
1사업장(비배출시설계)정이있는구포시장부산광역시 북구 구포시장길 9051-333-90332000생활, 음식물, 재활용, 기타일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
2사업장(비배출시설계)구포축산물도매시장 상인회부산광역시 북구 사상로583번길 25051-301-35171998생활일반(소각, 매립, 고형연료화)2023-07-13
3사업장(비배출시설계)한중프라임 장례식장부산광역시 북구 낙동대로 1596051-305-40002003생활, 음식물, 재활용일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
4사업장(비배출시설계)포천초등학교부산광역시 북구 시랑로 115051-366-33091998생활, 음식물, 재활용일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
5사업장(비배출시설계)부산과학기술대학교부산광역시 북구 시랑로132번길 88051-330-70331996생활, 재활용, 기타일반(소각, 매립, 고형연료화)2023-07-13
6사업장(비배출시설계)농협하나로클럽부산점부산광역시 북구 금곡대로 469051-330-90152005생활, 음식물, 기타일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
7사업장(비배출시설계)한국폴리텍대학 부산캠퍼스부산광역시 북구 만덕대로155번길 99051-330-77112004생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
8사업장(비배출시설계)메가마트덕천점부산광역시 북구 기찰로 164051-335-40352004생활, 음식물, 재활용일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
9사업장(비배출시설계)의료법인 인당의료재단 부민병원부산광역시 북구 만덕대로 59051-330-30001998생활, 음식물, 재활용, 기타일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
폐기물구분업소명업소도로명주소연락처신고연도폐기물종류처리방법데이터기준일자
33사업장(비배출시설계)GNT부산의용촌부산광역시 북구 덕천로 89-7, 1층(덕천동)051-331-21912017생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
34사업장(비배출시설계)식당3선 덕천점부산광역시 북구 금곡대로 112(덕천동)051-333-00502017생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
35사업장(비배출시설계)함경면옥부산광역시 북구 금곡대로 21(덕천동)051-363-50002017생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
36사업장(비배출시설계)아웃백스테이크하우스 덕천점부산광역시 북구 만덕대로 30, 2층(덕천동)051-336-86112019생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
37사업장(비배출시설계)의료법인 신생의료재단 센트럴병원부산광역시 북구 만덕대로 37(덕천동)051-540-83972019생활일반(소각, 매립, 고형연료화)2023-07-13
38사업장(비배출시설계)대한예수교장로회 포도원교회부산광역시 북구 효열로 16(금곡동)051-333-37362020생활, 음식물일반(소각, 매립, 고형연료화), 음식물(농업생산활동)2023-07-13
39사업장(비배출시설계)하나요양병원부산광역시 북구 백양대로 1131, 4층051-853-25802022생활, 음식물쓰레기일반(소각, 매립, 고형연료화), 음식물(농업생산활동, 중간가공폐기물제조)2023-07-13
40사업장(비배출시설계)부산광역시 자동차전문정비사업조합부산광역시 북구 만덕2로 19 (만덕동)051-557-63602023폐합성수지일반(소각)2023-07-13
41사업장(배출시설계)화명정수사업소부산광역시 북구 와석장터로 45051-669-48121996정수처리오니재활용(중간가공폐기물제조)2023-07-13
42지정(의료 제외)천운밧데리부산광역시 북구 낙동대로 1660(구포동)-2019폐황산이 포함된 2차폐축전지재활용(원료제조, 중간가공폐기물제조)2023-07-13