Overview

Dataset statistics

Number of variables8
Number of observations84
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory68.6 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description전라남도 화순군에 위치한 일반음식점(모범음식점)들의 기본 정보와 음식점에서 배출하는 연간 음식물 쓰레기 배출량(예상)을 보실 수 있는 데이터로 화순군청 환경과에서 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15113444/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 2 (2.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:33:04.683572
Analysis finished2023-12-12 21:33:06.728634
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T06:33:06.817997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2023-12-13T06:33:06.966319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
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 (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

상호명
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T06:33:07.226184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.2619048
Min length2

Characters and Unicode

Total characters610
Distinct characters208
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

Unique82 ?
Unique (%)97.6%

Sample

1st row(주)풀무원푸드앤컬쳐
2nd row(주)현대그린푸드 녹십자 화순점
3rd row518낙지전문점
4th row가마솥청국장
5th row고려장례식당
ValueCountFrequency (%)
화순점 3
 
3.0%
양반집갈비 2
 
2.0%
도곡점 2
 
2.0%
벽오동 2
 
2.0%
푸드코트 1
 
1.0%
쭈꾸미사랑 1
 
1.0%
도곡온천황토참숯가마 1
 
1.0%
주식회사 1
 
1.0%
정일품한우식육식당 1
 
1.0%
전남제일요양병원 1
 
1.0%
Other values (85) 85
85.0%
2023-12-13T06:33:07.577238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
순 25
 
4.1%
화 24
 
3.9%
원 22
 
3.6%
병 18
 
3.0%
양 16
 
2.6%
16
 
2.6%
학 14
 
2.3%
교 13
 
2.1%
요 12
 
2.0%
등 11
 
1.8%
Other values (198) 439
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
94.9%
Space Separator 16
 
2.6%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%
Decimal Number 3
 
0.5%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
순 25
 
4.3%
화 24
 
4.1%
원 22
 
3.8%
병 18
 
3.1%
양 16
 
2.8%
학 14
 
2.4%
교 13
 
2.2%
요 12
 
2.1%
등 11
 
1.9%
이 10
 
1.7%
Other values (190) 414
71.5%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
1 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
94.9%
Common 31
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
순 25
 
4.3%
화 24
 
4.1%
원 22
 
3.8%
병 18
 
3.1%
양 16
 
2.8%
학 14
 
2.4%
교 13
 
2.2%
요 12
 
2.1%
등 11
 
1.9%
이 10
 
1.7%
Other values (190) 414
71.5%
Common
ValueCountFrequency (%)
16
51.6%
) 5
 
16.1%
( 5
 
16.1%
- 1
 
3.2%
8 1
 
3.2%
1 1
 
3.2%
5 1
 
3.2%
& 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
94.9%
ASCII 31
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
순 25
 
4.3%
화 24
 
4.1%
원 22
 
3.8%
병 18
 
3.1%
양 16
 
2.8%
학 14
 
2.4%
교 13
 
2.2%
요 12
 
2.1%
등 11
 
1.9%
이 10
 
1.7%
Other values (190) 414
71.5%
ASCII
ValueCountFrequency (%)
16
51.6%
) 5
 
16.1%
( 5
 
16.1%
- 1
 
3.2%
8 1
 
3.2%
1 1
 
3.2%
5 1
 
3.2%
& 1
 
3.2%

주소
Text

Distinct81
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-13T06:33:07.925596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length22.595238
Min length18

Characters and Unicode

Total characters1898
Distinct characters130
Distinct categories9 ?
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 (%)92.9%

Sample

1st row전라남도 화순군 화순읍 오성로 292-90 (무등산CC)
2nd row전라남도 화순군 화순읍 산단길 40
3rd row전라남도 화순군 도곡면 원화리 190-1
4th row전라남도 화순군 동면 서성리 419
5th row전라남도 화순군 화순읍 충의로 109
ValueCountFrequency (%)
전라남도 84
18.7%
화순군 84
18.7%
화순읍 47
 
10.5%
도곡면 19
 
4.2%
지강로 11
 
2.4%
1층 7
 
1.6%
서양로 6
 
1.3%
동면 5
 
1.1%
대리길 4
 
0.9%
2층 4
 
0.9%
Other values (135) 178
39.6%
2023-12-13T06:33:08.445385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
20.2%
화 139
 
7.3%
순 135
 
7.1%
도 104
 
5.5%
전 85
 
4.5%
라 85
 
4.5%
남 85
 
4.5%
군 84
 
4.4%
1 54
 
2.8%
읍 47
 
2.5%
Other values (120) 697
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
62.3%
Space Separator 383
 
20.2%
Decimal Number 268
 
14.1%
Dash Punctuation 25
 
1.3%
Connector Punctuation 16
 
0.8%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 139
11.7%
순 135
11.4%
도 104
 
8.8%
전 85
 
7.2%
라 85
 
7.2%
남 85
 
7.2%
군 84
 
7.1%
읍 47
 
4.0%
로 46
 
3.9%
면 37
 
3.1%
Other values (103) 336
28.4%
Decimal Number
ValueCountFrequency (%)
1 54
20.1%
2 39
14.6%
3 33
12.3%
4 30
11.2%
0 26
9.7%
7 23
8.6%
5 19
 
7.1%
9 18
 
6.7%
8 14
 
5.2%
6 12
 
4.5%
Space Separator
ValueCountFrequency (%)
383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
62.3%
Common 713
37.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 139
11.7%
순 135
11.4%
도 104
 
8.8%
전 85
 
7.2%
라 85
 
7.2%
남 85
 
7.2%
군 84
 
7.1%
읍 47
 
4.0%
로 46
 
3.9%
면 37
 
3.1%
Other values (103) 336
28.4%
Common
ValueCountFrequency (%)
383
53.7%
1 54
 
7.6%
2 39
 
5.5%
3 33
 
4.6%
4 30
 
4.2%
0 26
 
3.6%
- 25
 
3.5%
7 23
 
3.2%
5 19
 
2.7%
9 18
 
2.5%
Other values (6) 63
 
8.8%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
62.3%
ASCII 715
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
53.6%
1 54
 
7.6%
2 39
 
5.5%
3 33
 
4.6%
4 30
 
4.2%
0 26
 
3.6%
- 25
 
3.5%
7 23
 
3.2%
5 19
 
2.7%
9 18
 
2.5%
Other values (7) 65
 
9.1%
Hangul
ValueCountFrequency (%)
화 139
11.7%
순 135
11.4%
도 104
 
8.8%
전 85
 
7.2%
라 85
 
7.2%
남 85
 
7.2%
군 84
 
7.1%
읍 47
 
4.0%
로 46
 
3.9%
면 37
 
3.1%
Other values (103) 336
28.4%

사업장구분
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
일반음식점
48 
집단급식소
35 
관광숙박시설
 
1

Length

Max length6
Median length5
Mean length5.0119048
Min length5

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 48
57.1%
집단급식소 35
41.7%
관광숙박시설 1
 
1.2%

Length

2023-12-13T06:33:08.567915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:33:08.664074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 48
57.1%
집단급식소 35
41.7%
관광숙박시설 1
 
1.2%

전화번호
Text

MISSING 

Distinct61
Distinct (%)74.4%
Missing2
Missing (%)2.4%
Memory size804.0 B
2023-12-13T06:33:08.881126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length9.1707317
Min length1

Characters and Unicode

Total characters752
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

Unique59 ?
Unique (%)72.0%

Sample

1st row061-374-1050
2nd row
3rd row
4th row061-375-4500
5th row061-370-0334
ValueCountFrequency (%)
061 3
 
4.5%
372 2
 
3.0%
061-375-9293 2
 
3.0%
061-370-9114 1
 
1.5%
061-370-6200 1
 
1.5%
061-900-1100 1
 
1.5%
061-375-4600 1
 
1.5%
061-373-1800 1
 
1.5%
061-372-0677 1
 
1.5%
061-372-9433 1
 
1.5%
Other values (52) 52
78.8%
2023-12-13T06:33:09.233299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 137
18.2%
- 116
15.4%
3 98
13.0%
1 96
12.8%
7 82
10.9%
6 75
10.0%
5 37
 
4.9%
9 28
 
3.7%
26
 
3.5%
2 25
 
3.3%
Other values (2) 32
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
81.1%
Dash Punctuation 116
 
15.4%
Space Separator 26
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 137
22.5%
3 98
16.1%
1 96
15.7%
7 82
13.4%
6 75
12.3%
5 37
 
6.1%
9 28
 
4.6%
2 25
 
4.1%
8 17
 
2.8%
4 15
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 752
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 137
18.2%
- 116
15.4%
3 98
13.0%
1 96
12.8%
7 82
10.9%
6 75
10.0%
5 37
 
4.9%
9 28
 
3.7%
26
 
3.5%
2 25
 
3.3%
Other values (2) 32
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 752
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 137
18.2%
- 116
15.4%
3 98
13.0%
1 96
12.8%
7 82
10.9%
6 75
10.0%
5 37
 
4.9%
9 28
 
3.7%
26
 
3.5%
2 25
 
3.3%
Other values (2) 32
 
4.3%

규모
Real number (ℝ)

Distinct70
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.33095
Minimum100
Maximum1546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T06:33:09.360828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile130.6
Q1261
median333.185
Q3500
95-th percentile1264.186
Maximum1546
Range1446
Interquartile range (IQR)239

Descriptive statistics

Standard deviation304.57968
Coefficient of variation (CV)0.71948361
Kurtosis5.0042045
Mean423.33095
Median Absolute Deviation (MAD)103.415
Skewness2.1734423
Sum35559.8
Variance92768.783
MonotonicityNot monotonic
2023-12-13T06:33:09.482248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
436.32 3
 
3.6%
150.0 3
 
3.6%
500.0 3
 
3.6%
700.0 2
 
2.4%
330.0 2
 
2.4%
300.0 2
 
2.4%
100.0 2
 
2.4%
220.0 2
 
2.4%
264.0 2
 
2.4%
261.0 2
 
2.4%
Other values (60) 61
72.6%
ValueCountFrequency (%)
100.0 2
2.4%
112.0 1
 
1.2%
120.0 1
 
1.2%
130.0 1
 
1.2%
134.0 1
 
1.2%
150.0 3
3.6%
155.0 1
 
1.2%
180.0 2
2.4%
197.0 1
 
1.2%
204.0 1
 
1.2%
ValueCountFrequency (%)
1546.0 1
1.2%
1427.0 1
1.2%
1412.0 1
1.2%
1410.0 1
1.2%
1336.3 1
1.2%
855.54 1
1.2%
754.0 1
1.2%
748.0 1
1.2%
730.77 1
1.2%
700.0 2
2.4%

음식물쓰레기 예상배출량(kg_년)
Real number (ℝ)

Distinct43
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19683
Minimum480
Maximum180000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-13T06:33:09.607442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum480
5-th percentile1236
Q13810
median14400
Q321600
95-th percentile58860
Maximum180000
Range179520
Interquartile range (IQR)17790

Descriptive statistics

Standard deviation26613.468
Coefficient of variation (CV)1.3521043
Kurtosis17.58365
Mean19683
Median Absolute Deviation (MAD)9720
Skewness3.7105209
Sum1653372
Variance7.0827669 × 108
MonotonicityNot monotonic
2023-12-13T06:33:09.722361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
18000 14
 
16.7%
3600 6
 
7.1%
21600 5
 
6.0%
7200 4
 
4.8%
14400 4
 
4.8%
36000 3
 
3.6%
10800 3
 
3.6%
32400 3
 
3.6%
1440 2
 
2.4%
1200 2
 
2.4%
Other values (33) 38
45.2%
ValueCountFrequency (%)
480 1
 
1.2%
1080 2
 
2.4%
1200 2
 
2.4%
1440 2
 
2.4%
1560 1
 
1.2%
1800 1
 
1.2%
1812 1
 
1.2%
2160 2
 
2.4%
2400 2
 
2.4%
3600 6
7.1%
ValueCountFrequency (%)
180000 1
 
1.2%
109800 1
 
1.2%
108000 1
 
1.2%
72000 1
 
1.2%
61200 1
 
1.2%
45600 1
 
1.2%
43200 1
 
1.2%
40800 1
 
1.2%
36000 3
3.6%
32400 3
3.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-03-31
84 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-31
2nd row2023-03-31
3rd row2023-03-31
4th row2023-03-31
5th row2023-03-31

Common Values

ValueCountFrequency (%)
2023-03-31 84
100.0%

Length

2023-12-13T06:33:09.833098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:33:09.911095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-31 84
100.0%

Interactions

2023-12-13T06:33:05.930176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.352881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.635484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:06.018553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.433919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.729751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:06.119630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.554768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:33:05.833168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:33:09.975653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명주소사업장구분전화번호규모음식물쓰레기 예상배출량(kg_년)
연번1.0001.0000.9400.5310.7150.0000.101
상호명1.0001.0001.0001.0001.0001.0001.000
주소0.9401.0001.0000.9020.9860.0000.000
사업장구분0.5311.0000.9021.0000.9420.5060.340
전화번호0.7151.0000.9860.9421.0000.8820.973
규모0.0001.0000.0000.5060.8821.0000.641
음식물쓰레기 예상배출량(kg_년)0.1011.0000.0000.3400.9730.6411.000
2023-12-13T06:33:10.077837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번규모음식물쓰레기 예상배출량(kg_년)사업장구분
연번1.0000.1420.0500.357
규모0.1421.0000.1730.359
음식물쓰레기 예상배출량(kg_년)0.0500.1731.0000.240
사업장구분0.3570.3590.2401.000

Missing values

2023-12-13T06:33:06.542759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:33:06.683212image/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

연번상호명주소사업장구분전화번호규모음식물쓰레기 예상배출량(kg_년)데이터기준일
01(주)풀무원푸드앤컬쳐전라남도 화순군 화순읍 오성로 292-90 (무등산CC)일반음식점061-374-10501412.0324002023-03-31
12(주)현대그린푸드 녹십자 화순점전라남도 화순군 화순읍 산단길 40집단급식소<NA>500.0324002023-03-31
23518낙지전문점전라남도 화순군 도곡면 원화리 190-1일반음식점330.7860002023-03-31
34가마솥청국장전라남도 화순군 동면 서성리 419일반음식점278.015602023-03-31
45고려장례식당전라남도 화순군 화순읍 충의로 109일반음식점061-375-45001336.31800002023-03-31
56광주광역시학생교육원전라남도 화순군 동면 복암리 산 83-3집단급식소061-370-0334150.0144002023-03-31
67광화문연가전라남도 화순군 도곡면 지강로 429일반음식점386.9410802023-03-31
78구백가든전라남도 화순군 도곡면 천태로 1020일반음식점266.445602023-03-31
89금탑소머리국밥 도곡점전라남도 화순군 도곡면 천태로 1127일반음식점061-371-2345291.53180002023-03-31
910금호리조트(주)화순전라남도 화순군 백아면 옥리길 14-21 (금호화순리조트)관광숙박시설061-370-5000220.0146402023-03-31
연번상호명주소사업장구분전화번호규모음식물쓰레기 예상배출량(kg_년)데이터기준일
7475화순성심병원전라남도 화순군 화순읍 만연로 31집단급식소061-370-9114700.0408002023-03-31
7576화순오성초등학교전라남도 화순군 화순읍 오성로 516 (오성초등학교)집단급식소061 372 7413280.012002023-03-31
7677화순이양중고등학교전라남도 화순군 이양면 이양로 100-35집단급식소061-372-1089354.0240002023-03-31
7778화순제일중학교전라남도 화순군 화순읍 대리 130집단급식소754.0720002023-03-31
7879화순제일초등학교전라남도 화순군 화순읍 알메로 8집단급식소1410.064802023-03-31
7980화순중앙병원전라남도 화순군 화순읍 칠충로 101집단급식소061-370-7200155.024002023-03-31
8081화순중학교전라남도 화순군 화순읍 칠충로 71집단급식소061-379-0100748.042002023-03-31
8182화순초등학교전라남도 화순군 화순읍 교리 84집단급식소1546.0180002023-03-31
8283화순푸른솔요양병원전라남도 화순군 동면 언동길 80-15집단급식소061-375-4600120.0108002023-03-31
8384화순흑염소전라남도 화순군 화순읍 서양로 422-9일반음식점061-371-5747257.2180002023-03-31