Overview

Dataset statistics

Number of variables10
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory87.1 B

Variable types

Numeric2
Categorical5
Text3

Dataset

Description전북특별자치도 진안군 관내에 존재하는 집단급식소 현황에 대한 데이터로 업소명, 소재지 도로명주소, 전화번호를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15065305/fileData.do

Alerts

지역 has constant value ""Constant
구분1(업종) has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분2 is highly overall correlated with 식사 횟수High correlation
식사 횟수 is highly overall correlated with 구분2High correlation
순서 has unique valuesUnique
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
연락번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:07:58.417833
Analysis finished2024-03-14 15:08:00.235344
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-15T00:08:00.342829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-03-15T00:08:00.569264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
진안군
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진안군 31
100.0%

Length

2024-03-15T00:08:00.798551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:08:00.961573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진안군 31
100.0%

구분1(업종)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
집단급식소
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 31
100.0%

Length

2024-03-15T00:08:01.129240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:08:01.362980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 31
100.0%

구분2
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size376.0 B
학교
17 
사업체
4 
어린이집
3 
공공기관
2 
복지관
2 
Other values (2)
3 

Length

Max length4
Median length2
Mean length2.5483871
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row학교
2nd row학교
3rd row어린이집
4th row학교
5th row학교

Common Values

ValueCountFrequency (%)
학교 17
54.8%
사업체 4
 
12.9%
어린이집 3
 
9.7%
공공기관 2
 
6.5%
복지관 2
 
6.5%
병원 2
 
6.5%
수련원 1
 
3.2%

Length

2024-03-15T00:08:01.582523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:08:01.804212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학교 17
54.8%
사업체 4
 
12.9%
어린이집 3
 
9.7%
공공기관 2
 
6.5%
복지관 2
 
6.5%
병원 2
 
6.5%
수련원 1
 
3.2%

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-15T00:08:02.595805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.5806452
Min length4

Characters and Unicode

Total characters266
Distinct characters91
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row동향초등학교
2nd row한국한방고등학교
3rd row진안어린이집
4th row진안제일고등학교
5th row진안공업고등학교
ValueCountFrequency (%)
동향초등학교 1
 
2.6%
부귀초등학교 1
 
2.6%
진안군의료원 1
 
2.6%
집단급식소 1
 
2.6%
진안마이꿈유치원 1
 
2.6%
제일어린이집 1
 
2.6%
마령초등학교 1
 
2.6%
한국농협김치조합공동사업법인 1
 
2.6%
전북지사 1
 
2.6%
장승초등학교 1
 
2.6%
Other values (29) 29
74.4%
2024-03-15T00:08:03.594804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 18
 
6.8%
학 17
 
6.4%
안 16
 
6.0%
진 15
 
5.6%
등 15
 
5.6%
초 12
 
4.5%
8
 
3.0%
인 6
 
2.3%
복 6
 
2.3%
군 6
 
2.3%
Other values (81) 147
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
96.2%
Space Separator 8
 
3.0%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 18
 
7.0%
학 17
 
6.6%
안 16
 
6.2%
진 15
 
5.9%
등 15
 
5.9%
초 12
 
4.7%
인 6
 
2.3%
복 6
 
2.3%
군 6
 
2.3%
합 5
 
2.0%
Other values (78) 140
54.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
96.2%
Common 10
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 18
 
7.0%
학 17
 
6.6%
안 16
 
6.2%
진 15
 
5.9%
등 15
 
5.9%
초 12
 
4.7%
인 6
 
2.3%
복 6
 
2.3%
군 6
 
2.3%
합 5
 
2.0%
Other values (78) 140
54.7%
Common
ValueCountFrequency (%)
8
80.0%
( 1
 
10.0%
) 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
96.2%
ASCII 10
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 18
 
7.0%
학 17
 
6.6%
안 16
 
6.2%
진 15
 
5.9%
등 15
 
5.9%
초 12
 
4.7%
인 6
 
2.3%
복 6
 
2.3%
군 6
 
2.3%
합 5
 
2.0%
Other values (78) 140
54.7%
ASCII
ValueCountFrequency (%)
8
80.0%
( 1
 
10.0%
) 1
 
10.0%

소재지도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-15T00:08:04.459628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length24.419355
Min length20

Characters and Unicode

Total characters757
Distinct characters76
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

Unique31 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 진안군 동향면 하양지1길 5
2nd row전북특별자치도 진안군 진안읍 임진로 2765
3rd row전북특별자치도 진안군 진안읍 중연길 20-12
4th row전북특별자치도 진안군 진안읍 대광3길 25-5
5th row전북특별자치도 진안군 진안읍 상역로 96
ValueCountFrequency (%)
전북특별자치도 31
19.7%
진안군 31
19.7%
진안읍 16
 
10.2%
부귀면 5
 
3.2%
임진로 3
 
1.9%
진무로 3
 
1.9%
상역로 2
 
1.3%
1층 2
 
1.3%
마이산로 2
 
1.3%
정천면 2
 
1.3%
Other values (57) 60
38.2%
2024-03-15T00:08:05.553350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
16.6%
진 56
 
7.4%
안 50
 
6.6%
전 32
 
4.2%
북 31
 
4.1%
특 31
 
4.1%
별 31
 
4.1%
자 31
 
4.1%
치 31
 
4.1%
도 31
 
4.1%
Other values (66) 307
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
67.5%
Space Separator 126
 
16.6%
Decimal Number 105
 
13.9%
Dash Punctuation 12
 
1.6%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 56
 
11.0%
안 50
 
9.8%
전 32
 
6.3%
북 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
자 31
 
6.1%
치 31
 
6.1%
도 31
 
6.1%
군 31
 
6.1%
Other values (53) 156
30.5%
Decimal Number
ValueCountFrequency (%)
1 23
21.9%
2 19
18.1%
5 12
11.4%
7 9
 
8.6%
6 9
 
8.6%
3 8
 
7.6%
8 8
 
7.6%
9 7
 
6.7%
0 5
 
4.8%
4 5
 
4.8%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
67.5%
Common 246
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 56
 
11.0%
안 50
 
9.8%
전 32
 
6.3%
북 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
자 31
 
6.1%
치 31
 
6.1%
도 31
 
6.1%
군 31
 
6.1%
Other values (53) 156
30.5%
Common
ValueCountFrequency (%)
126
51.2%
1 23
 
9.3%
2 19
 
7.7%
5 12
 
4.9%
- 12
 
4.9%
7 9
 
3.7%
6 9
 
3.7%
3 8
 
3.3%
8 8
 
3.3%
9 7
 
2.8%
Other values (3) 13
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
67.5%
ASCII 246
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
51.2%
1 23
 
9.3%
2 19
 
7.7%
5 12
 
4.9%
- 12
 
4.9%
7 9
 
3.7%
6 9
 
3.7%
3 8
 
3.3%
8 8
 
3.3%
9 7
 
2.8%
Other values (3) 13
 
5.3%
Hangul
ValueCountFrequency (%)
진 56
 
11.0%
안 50
 
9.8%
전 32
 
6.3%
북 31
 
6.1%
특 31
 
6.1%
별 31
 
6.1%
자 31
 
6.1%
치 31
 
6.1%
도 31
 
6.1%
군 31
 
6.1%
Other values (53) 156
30.5%

식수(인원)
Real number (ℝ)

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.45161
Minimum43
Maximum398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-15T00:08:05.765649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile55
Q175.5
median117
Q3175.5
95-th percentile311
Maximum398
Range355
Interquartile range (IQR)100

Descriptive statistics

Standard deviation86.59632
Coefficient of variation (CV)0.61655625
Kurtosis1.7297201
Mean140.45161
Median Absolute Deviation (MAD)45
Skewness1.3773548
Sum4354
Variance7498.9226
MonotonicityNot monotonic
2024-03-15T00:08:06.035577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
60 3
 
9.7%
94 2
 
6.5%
100 2
 
6.5%
70 2
 
6.5%
150 2
 
6.5%
216 1
 
3.2%
72 1
 
3.2%
120 1
 
3.2%
240 1
 
3.2%
50 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
43 1
 
3.2%
50 1
 
3.2%
60 3
9.7%
70 2
6.5%
72 1
 
3.2%
79 1
 
3.2%
80 1
 
3.2%
94 2
6.5%
100 2
6.5%
104 1
 
3.2%
ValueCountFrequency (%)
398 1
3.2%
340 1
3.2%
282 1
3.2%
240 1
3.2%
217 1
3.2%
216 1
3.2%
210 1
3.2%
190 1
3.2%
161 1
3.2%
158 1
3.2%

식사 횟수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size376.0 B
1
22 
3
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row3
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 22
71.0%
3 8
 
25.8%
2 1
 
3.2%

Length

2024-03-15T00:08:06.302541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:08:06.478981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
71.0%
3 8
 
25.8%
2 1
 
3.2%

연락번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-15T00:08:07.198004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row063-432-7502
2nd row063-433-9900
3rd row063-432-7778
4th row063-432-3041
5th row063-433-2606
ValueCountFrequency (%)
063-432-7502 1
 
3.2%
063-433-6334 1
 
3.2%
063-432-8534 1
 
3.2%
063-433-1666 1
 
3.2%
063-432-8871 1
 
3.2%
063-433-2048 1
 
3.2%
063-432-8484 1
 
3.2%
063-433-5356 1
 
3.2%
063-432-2513 1
 
3.2%
063-432-2332 1
 
3.2%
Other values (21) 21
67.7%
2024-03-15T00:08:08.476178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
23.1%
- 62
16.7%
0 50
13.4%
6 45
12.1%
4 40
10.8%
2 28
 
7.5%
7 15
 
4.0%
8 15
 
4.0%
9 11
 
3.0%
5 10
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
27.7%
0 50
16.1%
6 45
14.5%
4 40
12.9%
2 28
 
9.0%
7 15
 
4.8%
8 15
 
4.8%
9 11
 
3.5%
5 10
 
3.2%
1 10
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 86
23.1%
- 62
16.7%
0 50
13.4%
6 45
12.1%
4 40
10.8%
2 28
 
7.5%
7 15
 
4.0%
8 15
 
4.0%
9 11
 
3.0%
5 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
23.1%
- 62
16.7%
0 50
13.4%
6 45
12.1%
4 40
10.8%
2 28
 
7.5%
7 15
 
4.0%
8 15
 
4.0%
9 11
 
3.0%
5 10
 
2.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
2023-07-14
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-14
2nd row2023-07-14
3rd row2023-07-14
4th row2023-07-14
5th row2023-07-14

Common Values

ValueCountFrequency (%)
2023-07-14 31
100.0%

Length

2024-03-15T00:08:08.700375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:08:08.867062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-14 31
100.0%

Interactions

2024-03-15T00:07:59.408389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:07:58.820426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:07:59.562596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:07:59.254226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:08:08.975120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서구분2업소명소재지도로명주소식수(인원)식사 횟수연락번호
순서1.0000.5301.0001.0000.3580.0001.000
구분20.5301.0001.0001.0000.0000.6721.000
업소명1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
식수(인원)0.3580.0001.0001.0001.0000.0001.000
식사 횟수0.0000.6721.0001.0000.0001.0001.000
연락번호1.0001.0001.0001.0001.0001.0001.000
2024-03-15T00:08:09.157714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식사 횟수구분2
식사 횟수1.0000.532
구분20.5321.000
2024-03-15T00:08:09.300135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서식수(인원)구분2식사 횟수
순서1.000-0.4010.0000.000
식수(인원)-0.4011.0000.0000.000
구분20.0000.0001.0000.532
식사 횟수0.0000.0000.5321.000

Missing values

2024-03-15T00:07:59.780128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:08:00.074046image/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

순서지역구분1(업종)구분2업소명소재지도로명주소식수(인원)식사 횟수연락번호데이터기준일자
01진안군집단급식소학교동향초등학교전북특별자치도 진안군 동향면 하양지1길 52161063-432-75022023-07-14
12진안군집단급식소학교한국한방고등학교전북특별자치도 진안군 진안읍 임진로 27651503063-433-99002023-07-14
23진안군집단급식소어린이집진안어린이집전북특별자치도 진안군 진안읍 중연길 20-12941063-432-77782023-07-14
34진안군집단급식소학교진안제일고등학교전북특별자치도 진안군 진안읍 대광3길 25-51363063-432-30412023-07-14
45진안군집단급식소학교진안공업고등학교전북특별자치도 진안군 진안읍 상역로 961903063-433-26062023-07-14
56진안군집단급식소공공기관진안군청전북특별자치도 진안군 진안읍 중앙로 671001063-430-27962023-07-14
67진안군집단급식소학교진안중앙초등학교전북특별자치도 진안군 진안읍 학천변길 37-63981063-432-63272023-07-14
78진안군집단급식소학교진안초등학교전북특별자치도 진안군 진안읍 중앙로 553401063-432-63222023-07-14
89진안군집단급식소학교안천초중고등학교전북특별자치도 진안군 안천면 진무로 3071-91581063-432-40712023-07-14
910진안군집단급식소사업체산림조합중앙회 진안교육원전북특별자치도 진안군 부귀면 전진로 2685-61333063-433-68852023-07-14
순서지역구분1(업종)구분2업소명소재지도로명주소식수(인원)식사 횟수연락번호데이터기준일자
2122진안군집단급식소어린이집진안마이꿈유치원전북특별자치도 진안군 진안읍 어영골길 291041063-432-81022023-07-14
2223진안군집단급식소어린이집제일어린이집전북특별자치도 진안군 진안읍 진장로 31-5601063-432-23322023-07-14
2324진안군집단급식소학교마령초등학교전북특별자치도 진안군 마령면 임진로 21222171063-432-25132023-07-14
2425진안군집단급식소사업체한국농협김치조합공동사업법인 전북지사전북특별자치도 진안군 부귀면 가정길 6501063-433-53562023-07-14
2526진안군집단급식소학교부귀초등학교전북특별자치도 진안군 부귀면 부귀로 313-92401063-432-84842023-07-14
2627진안군집단급식소학교장승초등학교전북특별자치도 진안군 부귀면 곰티로 12871201063-433-20482023-07-14
2728진안군집단급식소복지관진안군 장애인 종합복지관전북특별자치도 진안군 진안읍 진무로 1189-1602063-432-88712023-07-14
2829진안군집단급식소사업체전북권 환경성질환 치유센터전북특별자치도 진안군 정천면 봉학로 171-221003063-433-16662023-07-14
2930진안군집단급식소학교부귀중학교전북특별자치도 진안군 부귀면 상거석길 14-7601063-432-85342023-07-14
3031진안군집단급식소공공기관진안군보건소전북특별자치도 진안군 진안읍 1189701063-430-85002023-07-14