Overview

Dataset statistics

Number of variables9
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory75.7 B

Variable types

Numeric2
Categorical4
Text3

Dataset

Description부산광역시 기장군 음식물류 폐기물 다량배출 사업장명, 배출 사업장 소재지, 사업장 규모(1일 이용인원, 면적), 2021년 연간 배출량 합계
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15034192/fileData.do

Alerts

관리부서명 has constant value ""Constant
관리부서전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업종별 is highly imbalanced (71.2%)Imbalance
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique
배출량(kg) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:44:40.706182
Analysis finished2023-12-12 14:44:41.877159
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T23:44:41.976668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2023-12-12T23:44:42.235271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

업종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
집단급식소
72 
일반음식점
 
6
농수산물도매시장 등
 
1
대규모점포
 
1

Length

Max length10
Median length5
Mean length5.0625
Min length5

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 72
90.0%
일반음식점 6
 
7.5%
농수산물도매시장 등 1
 
1.2%
대규모점포 1
 
1.2%

Length

2023-12-12T23:44:42.493262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:42.691609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 72
88.9%
일반음식점 6
 
7.4%
농수산물도매시장 1
 
1.2%
등 1
 
1.2%
대규모점포 1
 
1.2%

업소명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:44:43.087453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length8.5375
Min length4

Characters and Unicode

Total characters683
Distinct characters191
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

Unique80 ?
Unique (%)100.0%

Sample

1st row좌천초등학교
2nd row기장병원
3rd row고려제강 ㈜하이로프공장
4th row새손 대선주조 기장공장점
5th row한마음푸드(농공단지 B)
ValueCountFrequency (%)
3
 
2.7%
㈜대웅(위탁급식업체 2
 
1.8%
삼성웰스토리㈜ 2
 
1.8%
정관공장 2
 
1.8%
모전중학교 1
 
0.9%
부산본점 1
 
0.9%
디알액시온 1
 
0.9%
㈜아워홈 1
 
0.9%
기장고등학교 1
 
0.9%
㈜세동 1
 
0.9%
Other values (95) 95
86.4%
2023-12-12T23:44:43.691178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 39
 
5.7%
교 37
 
5.4%
31
 
4.5%
등 27
 
4.0%
초 22
 
3.2%
장 18
 
2.6%
원 18
 
2.6%
㈜ 11
 
1.6%
산 11
 
1.6%
) 10
 
1.5%
Other values (181) 459
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
88.4%
Space Separator 31
 
4.5%
Uppercase Letter 12
 
1.8%
Other Symbol 11
 
1.6%
Close Punctuation 10
 
1.5%
Open Punctuation 10
 
1.5%
Other Punctuation 4
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 39
 
6.5%
교 37
 
6.1%
등 27
 
4.5%
초 22
 
3.6%
장 18
 
3.0%
원 18
 
3.0%
산 11
 
1.8%
부 10
 
1.7%
정 10
 
1.7%
기 10
 
1.7%
Other values (167) 402
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
50.0%
S 2
 
16.7%
T 1
 
8.3%
X 1
 
8.3%
P 1
 
8.3%
B 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
& 1
25.0%
@ 1
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
90.0%
Common 56
 
8.2%
Latin 12
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 39
 
6.3%
교 37
 
6.0%
등 27
 
4.4%
초 22
 
3.6%
장 18
 
2.9%
원 18
 
2.9%
㈜ 11
 
1.8%
산 11
 
1.8%
부 10
 
1.6%
정 10
 
1.6%
Other values (168) 412
67.0%
Common
ValueCountFrequency (%)
31
55.4%
) 10
 
17.9%
( 10
 
17.9%
/ 2
 
3.6%
& 1
 
1.8%
- 1
 
1.8%
@ 1
 
1.8%
Latin
ValueCountFrequency (%)
C 6
50.0%
S 2
 
16.7%
T 1
 
8.3%
X 1
 
8.3%
P 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
88.4%
ASCII 68
 
10.0%
None 11
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 39
 
6.5%
교 37
 
6.1%
등 27
 
4.5%
초 22
 
3.6%
장 18
 
3.0%
원 18
 
3.0%
산 11
 
1.8%
부 10
 
1.7%
정 10
 
1.7%
기 10
 
1.7%
Other values (167) 402
66.6%
ASCII
ValueCountFrequency (%)
31
45.6%
) 10
 
14.7%
( 10
 
14.7%
C 6
 
8.8%
S 2
 
2.9%
/ 2
 
2.9%
T 1
 
1.5%
& 1
 
1.5%
- 1
 
1.5%
X 1
 
1.5%
Other values (3) 3
 
4.4%
None
ValueCountFrequency (%)
㈜ 11
100.0%

소재지
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:44:44.090417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length22.55
Min length18

Characters and Unicode

Total characters1804
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 좌천로 13-66
2nd row부산광역시 기장군 기장읍 대청로72번길 6
3rd row부산광역시 기장군 정관읍 산단6로 5
4th row부산광역시 기장군 장안읍 기장대로 1909
5th row부산광역시 기장군 정관읍 농공길 37 (예림리 940-19)
ValueCountFrequency (%)
부산광역시 80
19.9%
기장군 80
19.9%
정관읍 27
 
6.7%
기장읍 24
 
6.0%
장안읍 14
 
3.5%
일광읍 9
 
2.2%
기장대로 5
 
1.2%
농공길 5
 
1.2%
정관로 4
 
1.0%
기장해안로 4
 
1.0%
Other values (125) 150
37.3%
2023-12-12T23:44:44.643658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
20.2%
장 133
 
7.4%
기 113
 
6.3%
산 100
 
5.5%
광 90
 
5.0%
부 81
 
4.5%
역 80
 
4.4%
시 80
 
4.4%
군 80
 
4.4%
읍 78
 
4.3%
Other values (72) 605
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1178
65.3%
Space Separator 364
 
20.2%
Decimal Number 243
 
13.5%
Dash Punctuation 15
 
0.8%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 133
11.3%
기 113
 
9.6%
산 100
 
8.5%
광 90
 
7.6%
부 81
 
6.9%
역 80
 
6.8%
시 80
 
6.8%
군 80
 
6.8%
읍 78
 
6.6%
로 57
 
4.8%
Other values (58) 286
24.3%
Decimal Number
ValueCountFrequency (%)
1 44
18.1%
5 30
12.3%
3 28
11.5%
2 27
11.1%
6 24
9.9%
4 21
8.6%
7 20
8.2%
9 19
7.8%
0 19
7.8%
8 11
 
4.5%
Space Separator
ValueCountFrequency (%)
364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1178
65.3%
Common 626
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 133
11.3%
기 113
 
9.6%
산 100
 
8.5%
광 90
 
7.6%
부 81
 
6.9%
역 80
 
6.8%
시 80
 
6.8%
군 80
 
6.8%
읍 78
 
6.6%
로 57
 
4.8%
Other values (58) 286
24.3%
Common
ValueCountFrequency (%)
364
58.1%
1 44
 
7.0%
5 30
 
4.8%
3 28
 
4.5%
2 27
 
4.3%
6 24
 
3.8%
4 21
 
3.4%
7 20
 
3.2%
9 19
 
3.0%
0 19
 
3.0%
Other values (4) 30
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1178
65.3%
ASCII 626
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
58.1%
1 44
 
7.0%
5 30
 
4.8%
3 28
 
4.5%
2 27
 
4.3%
6 24
 
3.8%
4 21
 
3.4%
7 20
 
3.2%
9 19
 
3.0%
0 19
 
3.0%
Other values (4) 30
 
4.8%
Hangul
ValueCountFrequency (%)
장 133
11.3%
기 113
 
9.6%
산 100
 
8.5%
광 90
 
7.6%
부 81
 
6.9%
역 80
 
6.8%
시 80
 
6.8%
군 80
 
6.8%
읍 78
 
6.6%
로 57
 
4.8%
Other values (58) 286
24.3%

규모
Text

Distinct66
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:44:44.920317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.925
Min length4

Characters and Unicode

Total characters954
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)72.5%

Sample

1st row1일 급식인원 150명
2nd row1일 급식인원 500명
3rd row1일 급식인원 500명
4th row1일 급식인원 150명
5th row1일 급식인원 410명
ValueCountFrequency (%)
1일 66
29.3%
급식인원 63
28.0%
1일급식인원 6
 
2.7%
200명 5
 
2.2%
150명 4
 
1.8%
영업장 3
 
1.3%
300명 3
 
1.3%
면적 3
 
1.3%
400명 3
 
1.3%
890명 2
 
0.9%
Other values (61) 67
29.8%
2023-12-12T23:44:45.418185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
15.2%
1 111
11.6%
0 83
8.7%
명 72
7.5%
급 72
7.5%
식 72
7.5%
인 72
7.5%
원 72
7.5%
일 72
7.5%
2 23
 
2.4%
Other values (20) 160
16.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 469
49.2%
Decimal Number 328
34.4%
Space Separator 145
 
15.2%
Other Symbol 7
 
0.7%
Other Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 72
15.4%
급 72
15.4%
식 72
15.4%
인 72
15.4%
원 72
15.4%
일 72
15.4%
면 7
 
1.5%
적 7
 
1.5%
영 5
 
1.1%
장 5
 
1.1%
Other values (7) 13
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 111
33.8%
0 83
25.3%
2 23
 
7.0%
5 22
 
6.7%
8 18
 
5.5%
3 17
 
5.2%
6 17
 
5.2%
4 15
 
4.6%
7 12
 
3.7%
9 10
 
3.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 485
50.8%
Hangul 469
49.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 72
15.4%
급 72
15.4%
식 72
15.4%
인 72
15.4%
원 72
15.4%
일 72
15.4%
면 7
 
1.5%
적 7
 
1.5%
영 5
 
1.1%
장 5
 
1.1%
Other values (7) 13
 
2.8%
Common
ValueCountFrequency (%)
145
29.9%
1 111
22.9%
0 83
17.1%
2 23
 
4.7%
5 22
 
4.5%
8 18
 
3.7%
3 17
 
3.5%
6 17
 
3.5%
4 15
 
3.1%
7 12
 
2.5%
Other values (3) 22
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 478
50.1%
Hangul 469
49.2%
CJK Compat 7
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
30.3%
1 111
23.2%
0 83
17.4%
2 23
 
4.8%
5 22
 
4.6%
8 18
 
3.8%
3 17
 
3.6%
6 17
 
3.6%
4 15
 
3.1%
7 12
 
2.5%
Other values (2) 15
 
3.1%
Hangul
ValueCountFrequency (%)
명 72
15.4%
급 72
15.4%
식 72
15.4%
인 72
15.4%
원 72
15.4%
일 72
15.4%
면 7
 
1.5%
적 7
 
1.5%
영 5
 
1.1%
장 5
 
1.1%
Other values (7) 13
 
2.8%
CJK Compat
ValueCountFrequency (%)
㎡ 7
100.0%

배출량(kg)
Real number (ℝ)

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15687.137
Minimum550
Maximum59350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-12T23:44:45.582239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum550
5-th percentile1286.4325
Q15833.75
median10047.5
Q323862.5
95-th percentile42292.5
Maximum59350
Range58800
Interquartile range (IQR)18028.75

Descriptive statistics

Standard deviation13885.267
Coefficient of variation (CV)0.88513709
Kurtosis1.0341081
Mean15687.137
Median Absolute Deviation (MAD)7108
Skewness1.2219273
Sum1254970.9
Variance1.9280063 × 108
MonotonicityNot monotonic
2023-12-12T23:44:45.728977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1329.0 1
 
1.2%
6736.0 1
 
1.2%
36183.8 1
 
1.2%
10445.0 1
 
1.2%
42270.0 1
 
1.2%
9285.0 1
 
1.2%
23338.0 1
 
1.2%
38796.6 1
 
1.2%
1041.0 1
 
1.2%
7960.0 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
550.0 1
1.2%
648.6 1
1.2%
867.0 1
1.2%
1041.0 1
1.2%
1299.35 1
1.2%
1329.0 1
1.2%
1693.7 1
1.2%
1806.2 1
1.2%
1940.0 1
1.2%
2089.7 1
1.2%
ValueCountFrequency (%)
59350.0 1
1.2%
57000.0 1
1.2%
51659.0 1
1.2%
42720.0 1
1.2%
42270.0 1
1.2%
38796.6 1
1.2%
37300.0 1
1.2%
36260.8 1
1.2%
36183.8 1
1.2%
36120.0 1
1.2%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
청소자원과
80 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소자원과 80
100.0%

Length

2023-12-12T23:44:45.864292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:45.971157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소자원과 80
100.0%

관리부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
051-709-4454
80 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-709-4454
2nd row051-709-4454
3rd row051-709-4454
4th row051-709-4454
5th row051-709-4454

Common Values

ValueCountFrequency (%)
051-709-4454 80
100.0%

Length

2023-12-12T23:44:46.082474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:46.204206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-709-4454 80
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2022-10-18
80 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-18
2nd row2022-10-18
3rd row2022-10-18
4th row2022-10-18
5th row2022-10-18

Common Values

ValueCountFrequency (%)
2022-10-18 80
100.0%

Length

2023-12-12T23:44:46.331612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:46.440030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-18 80
100.0%

Interactions

2023-12-12T23:44:41.338474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:41.102695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:41.464086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:41.216660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:44:46.504211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종별업소명소재지규모배출량(kg)
연번1.0000.0001.0001.0000.6400.344
업종별0.0001.0001.0001.0001.0000.630
업소명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
규모0.6401.0001.0001.0001.0000.972
배출량(kg)0.3440.6301.0001.0000.9721.000
2023-12-12T23:44:46.627219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배출량(kg)업종별
연번1.0000.1140.000
배출량(kg)0.1141.0000.390
업종별0.0000.3901.000

Missing values

2023-12-12T23:44:41.631519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:44:41.806353image/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

연번업종별업소명소재지규모배출량(kg)관리부서명관리부서전화번호데이터기준일자
01집단급식소좌천초등학교부산광역시 기장군 장안읍 좌천로 13-661일 급식인원 150명1329.0청소자원과051-709-44542022-10-18
12집단급식소기장병원부산광역시 기장군 기장읍 대청로72번길 61일 급식인원 500명28273.0청소자원과051-709-44542022-10-18
23집단급식소고려제강 ㈜하이로프공장부산광역시 기장군 정관읍 산단6로 51일 급식인원 500명2486.0청소자원과051-709-44542022-10-18
34집단급식소새손 대선주조 기장공장점부산광역시 기장군 장안읍 기장대로 19091일 급식인원 150명4144.0청소자원과051-709-44542022-10-18
45집단급식소한마음푸드(농공단지 B)부산광역시 기장군 정관읍 농공길 37 (예림리 940-19)1일 급식인원 410명867.0청소자원과051-709-44542022-10-18
56집단급식소대청초등학교부산광역시 기장군 기장읍 차성서로 311일 급식인원 670명12988.0청소자원과051-709-44542022-10-18
67집단급식소대청중학교부산광역시 기장군 기장읍 차성서로 31일 급식인원 640명26440.0청소자원과051-709-44542022-10-18
78집단급식소칠암초등학교부산광역시 기장군 일광읍 박영준길 191일 급식인원 121명6419.5청소자원과051-709-44542022-10-18
89집단급식소일광초등학교부산광역시 기장군 일광읍 해빛로 461일 급식인원 250명25784.0청소자원과051-709-44542022-10-18
910집단급식소기장군자활센터(기장군청점)부산광역시 기장군 기장읍 기장대로 5601일 급식인원 450명28895.0청소자원과051-709-44542022-10-18
연번업종별업소명소재지규모배출량(kg)관리부서명관리부서전화번호데이터기준일자
7071집단급식소부산유아놀이꿈터부산광역시 기장군 철마면 철마로 5691일 급식인원280명2089.7청소자원과051-709-44542022-10-18
7172집단급식소우양 에프앤씨부산광역시 기장군 정관읍 산단3로 101-171일 급식인원 400명22350.0청소자원과051-709-44542022-10-18
7273집단급식소일광유치원부산광역시 기장군 일광읍 해빛로 421일 급식인원 231명8135.8청소자원과051-709-44542022-10-18
7374집단급식소일광중학교부산광역시 기장군 일광읍 해빛3로 991일 급식인원 400명19705.0청소자원과051-709-44542022-10-18
7475집단급식소해빛유치원부산광역시 기장군 일광읍 해빛6로 171일 급식인원 300명7256.2청소자원과051-709-44542022-10-18
7576집단급식소S&T모티브 정관공장부산광역시 기장군 정관읍 산단4로 2-361일 급식인원 120명11380.4청소자원과051-709-44542022-10-18
7677일반음식점샤브쌈 주머니 오시리아점부산광역시 기장군 기장읍 기장해안로 172 스타테라스 11층영업장면적 625.4㎡550.0청소자원과051-709-44542022-10-18
7778집단급식소철마초등학교부산광역시 기장군 철마면 철마로 4931일 급식인원 130명1299.35청소자원과051-709-44542022-10-18
7879집단급식소해빛초등학교부산광역시 기장군 일광읍 해빛6로 91일 급식인원 570명8828.0청소자원과051-709-44542022-10-18
7980집단급식소씨제이프레시웨이 강림인슈부산점부산광역시 기장군 장안읍 명례산단5로 721일 급식인원140명9650.0청소자원과051-709-44542022-10-18