Overview

Dataset statistics

Number of variables20
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory166.9 B

Variable types

Numeric3
Categorical10
Text7

Alerts

운영종료일 has constant value ""Constant
데이터기준 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
급식대상 is highly overall correlated with 급식시간High correlation
급식시간 is highly overall correlated with 급식대상High correlation
순번 has unique valuesUnique
급식장소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:52:23.928185
Analysis finished2024-03-14 00:52:26.148981
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-14T09:52:26.209850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-03-14T09:52:26.309850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

시군명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
전주시
14 
익산시
5 
군산시
4 
정읍시
4 
김제시
4 
Other values (7)
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 14
31.1%
익산시 5
 
11.1%
군산시 4
 
8.9%
정읍시 4
 
8.9%
김제시 4
 
8.9%
완주군 4
 
8.9%
임실군 3
 
6.7%
남원시 2
 
4.4%
순창군 2
 
4.4%
진안군 1
 
2.2%
Other values (2) 2
 
4.4%

Length

2024-03-14T09:52:26.402674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 14
31.1%
익산시 5
 
11.1%
군산시 4
 
8.9%
정읍시 4
 
8.9%
김제시 4
 
8.9%
완주군 4
 
8.9%
임실군 3
 
6.7%
남원시 2
 
4.4%
순창군 2
 
4.4%
진안군 1
 
2.2%
Other values (2) 2
 
4.4%

시설명
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:26.567666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.4666667
Min length4

Characters and Unicode

Total characters336
Distinct characters86
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)95.6%

Sample

1st row금암노인복지관
2nd row안골노인복지관
3rd row서원노인복지관
4th row전북불교회관
5th row덕진노인복지관
ValueCountFrequency (%)
양지노인복지관 2
 
4.3%
새정교회 1
 
2.2%
구이노인복지센터 1
 
2.2%
초대교회 1
 
2.2%
남원시노인복지관 1
 
2.2%
남원사회복지관 1
 
2.2%
영광교회 1
 
2.2%
요촌성당 1
 
2.2%
창대교회 1
 
2.2%
신광교회 1
 
2.2%
Other values (35) 35
76.1%
2024-03-14T09:52:26.877852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 31
 
9.2%
복 29
 
8.6%
관 27
 
8.0%
인 22
 
6.5%
노 20
 
6.0%
회 18
 
5.4%
교 13
 
3.9%
종 8
 
2.4%
사 8
 
2.4%
합 8
 
2.4%
Other values (76) 152
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
 
9.3%
복 29
 
8.7%
관 27
 
8.1%
인 22
 
6.6%
노 20
 
6.0%
회 18
 
5.4%
교 13
 
3.9%
종 8
 
2.4%
사 8
 
2.4%
합 8
 
2.4%
Other values (75) 151
45.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
 
9.3%
복 29
 
8.7%
관 27
 
8.1%
인 22
 
6.6%
노 20
 
6.0%
회 18
 
5.4%
교 13
 
3.9%
종 8
 
2.4%
사 8
 
2.4%
합 8
 
2.4%
Other values (75) 151
45.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 31
 
9.3%
복 29
 
8.7%
관 27
 
8.1%
인 22
 
6.6%
노 20
 
6.0%
회 18
 
5.4%
교 13
 
3.9%
종 8
 
2.4%
사 8
 
2.4%
합 8
 
2.4%
Other values (75) 151
45.1%
ASCII
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:27.102935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length14.288889
Min length10

Characters and Unicode

Total characters643
Distinct characters102
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

Unique43 ?
Unique (%)95.6%

Sample

1st row전주시 덕진구 삼송5길 12
2nd row전주시 덕진구 안골1길 11
3rd row전주시 완산구 따박골5길 36
4th row전주시 덕진구 가리내로 42-13
5th row전주시 덕진구 덕진동2가174
ValueCountFrequency (%)
전주시 14
 
8.8%
완산구 9
 
5.6%
익산시 5
 
3.1%
덕진구 5
 
3.1%
김제시 4
 
2.5%
완주군 4
 
2.5%
정읍시 4
 
2.5%
군산시 4
 
2.5%
중앙로 3
 
1.9%
임실군 3
 
1.9%
Other values (98) 105
65.6%
2024-03-14T09:52:27.439591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
17.9%
시 33
 
5.1%
1 30
 
4.7%
2 30
 
4.7%
로 29
 
4.5%
산 23
 
3.6%
주 20
 
3.1%
길 18
 
2.8%
5 17
 
2.6%
군 16
 
2.5%
Other values (92) 312
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
57.1%
Decimal Number 147
22.9%
Space Separator 115
 
17.9%
Dash Punctuation 14
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 33
 
9.0%
로 29
 
7.9%
산 23
 
6.3%
주 20
 
5.4%
길 18
 
4.9%
군 16
 
4.4%
구 15
 
4.1%
전 14
 
3.8%
완 13
 
3.5%
읍 10
 
2.7%
Other values (80) 176
48.0%
Decimal Number
ValueCountFrequency (%)
1 30
20.4%
2 30
20.4%
5 17
11.6%
4 16
10.9%
3 15
10.2%
6 10
 
6.8%
7 9
 
6.1%
0 7
 
4.8%
9 7
 
4.8%
8 6
 
4.1%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
57.1%
Common 276
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 33
 
9.0%
로 29
 
7.9%
산 23
 
6.3%
주 20
 
5.4%
길 18
 
4.9%
군 16
 
4.4%
구 15
 
4.1%
전 14
 
3.8%
완 13
 
3.5%
읍 10
 
2.7%
Other values (80) 176
48.0%
Common
ValueCountFrequency (%)
115
41.7%
1 30
 
10.9%
2 30
 
10.9%
5 17
 
6.2%
4 16
 
5.8%
3 15
 
5.4%
- 14
 
5.1%
6 10
 
3.6%
7 9
 
3.3%
0 7
 
2.5%
Other values (2) 13
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
57.1%
ASCII 276
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
41.7%
1 30
 
10.9%
2 30
 
10.9%
5 17
 
6.2%
4 16
 
5.8%
3 15
 
5.4%
- 14
 
5.1%
6 10
 
3.6%
7 9
 
3.3%
0 7
 
2.5%
Other values (2) 13
 
4.7%
Hangul
ValueCountFrequency (%)
시 33
 
9.0%
로 29
 
7.9%
산 23
 
6.3%
주 20
 
5.4%
길 18
 
4.9%
군 16
 
4.4%
구 15
 
4.1%
전 14
 
3.8%
완 13
 
3.5%
읍 10
 
2.7%
Other values (80) 176
48.0%

운영기관명
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:27.704259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length9.2888889
Min length4

Characters and Unicode

Total characters418
Distinct characters97
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

Unique41 ?
Unique (%)91.1%

Sample

1st row금암노인복지관
2nd row안골노인복지관
3rd row서워노인복지관
4th row사회복지법인 대한불교조계종 금산사복지원
5th row덕진노인복지관
ValueCountFrequency (%)
김제시 4
 
6.6%
식당 4
 
6.6%
사회복지협의회 4
 
6.6%
사회복지법인 2
 
3.3%
안골노인복지관 2
 
3.3%
쌍치경로당 1
 
1.6%
남원시노인복지관 1
 
1.6%
이리온누리교회 1
 
1.6%
순창읍교회경로당 1
 
1.6%
구이노인복지센터 1
 
1.6%
Other values (40) 40
65.6%
2024-03-14T09:52:28.081702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 38
 
9.1%
복 37
 
8.9%
회 26
 
6.2%
관 26
 
6.2%
인 24
 
5.7%
노 19
 
4.5%
사 17
 
4.1%
16
 
3.8%
교 10
 
2.4%
종 9
 
2.2%
Other values (87) 196
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
95.7%
Space Separator 16
 
3.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 38
 
9.5%
복 37
 
9.2%
회 26
 
6.5%
관 26
 
6.5%
인 24
 
6.0%
노 19
 
4.8%
사 17
 
4.2%
교 10
 
2.5%
종 9
 
2.2%
합 8
 
2.0%
Other values (84) 186
46.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
95.7%
Common 18
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 38
 
9.5%
복 37
 
9.2%
회 26
 
6.5%
관 26
 
6.5%
인 24
 
6.0%
노 19
 
4.8%
사 17
 
4.2%
교 10
 
2.5%
종 9
 
2.2%
합 8
 
2.0%
Other values (84) 186
46.5%
Common
ValueCountFrequency (%)
16
88.9%
( 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
95.7%
ASCII 18
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 38
 
9.5%
복 37
 
9.2%
회 26
 
6.5%
관 26
 
6.5%
인 24
 
6.0%
노 19
 
4.8%
사 17
 
4.2%
교 10
 
2.5%
종 9
 
2.2%
합 8
 
2.0%
Other values (84) 186
46.5%
ASCII
ValueCountFrequency (%)
16
88.9%
( 1
 
5.6%
) 1
 
5.6%

전화번호
Text

Distinct41
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:28.265418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters540
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

Unique39 ?
Unique (%)86.7%

Sample

1st row063-253-5728
2nd row063-243-4377
3rd row063-227-7483
4th row063-277-3497
5th row063-276-7963
ValueCountFrequency (%)
063-546-1072 4
 
8.9%
063-232-1000 2
 
4.4%
063-642-1394 1
 
2.2%
063-625-9988 1
 
2.2%
063-652-1236 1
 
2.2%
063-242-2442 1
 
2.2%
063-253-5728 1
 
2.2%
063-261-7801 1
 
2.2%
063-571-9051 1
 
2.2%
063-537-7839 1
 
2.2%
Other values (31) 31
68.9%
2024-03-14T09:52:28.545900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 90
16.7%
3 79
14.6%
0 70
13.0%
6 70
13.0%
2 67
12.4%
4 40
7.4%
7 36
 
6.7%
5 32
 
5.9%
8 24
 
4.4%
1 17
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
83.3%
Dash Punctuation 90
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 79
17.6%
0 70
15.6%
6 70
15.6%
2 67
14.9%
4 40
8.9%
7 36
8.0%
5 32
7.1%
8 24
 
5.3%
1 17
 
3.8%
9 15
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 90
16.7%
3 79
14.6%
0 70
13.0%
6 70
13.0%
2 67
12.4%
4 40
7.4%
7 36
 
6.7%
5 32
 
5.9%
8 24
 
4.4%
1 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 90
16.7%
3 79
14.6%
0 70
13.0%
6 70
13.0%
2 67
12.4%
4 40
7.4%
7 36
 
6.7%
5 32
 
5.9%
8 24
 
4.4%
1 17
 
3.1%

급식장소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:28.748636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.9777778
Min length4

Characters and Unicode

Total characters404
Distinct characters96
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row금암노인복지관
2nd row안골노인복지관 지하식당
3rd row서원노인복지관 2층 경로식당
4th row전북불교회관
5th row덕진노인복지관
ValueCountFrequency (%)
식당 4
 
6.2%
경로식당 3
 
4.6%
안골노인복지관 2
 
3.1%
양지노인복지관 2
 
3.1%
소양교회 1
 
1.5%
이리온누리교회 1
 
1.5%
정읍시노인복지관 1
 
1.5%
정읍시북부노인복지관 1
 
1.5%
새정교회 1
 
1.5%
초대교회 1
 
1.5%
Other values (48) 48
73.8%
2024-03-14T09:52:29.087215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 34
 
8.4%
복 29
 
7.2%
관 29
 
7.2%
인 22
 
5.4%
20
 
5.0%
노 20
 
5.0%
회 19
 
4.7%
교 13
 
3.2%
당 12
 
3.0%
식 10
 
2.5%
Other values (86) 196
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
93.8%
Space Separator 20
 
5.0%
Decimal Number 5
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 34
 
9.0%
복 29
 
7.7%
관 29
 
7.7%
인 22
 
5.8%
노 20
 
5.3%
회 19
 
5.0%
교 13
 
3.4%
당 12
 
3.2%
식 10
 
2.6%
종 8
 
2.1%
Other values (82) 183
48.3%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
93.8%
Common 25
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 34
 
9.0%
복 29
 
7.7%
관 29
 
7.7%
인 22
 
5.8%
노 20
 
5.3%
회 19
 
5.0%
교 13
 
3.4%
당 12
 
3.2%
식 10
 
2.6%
종 8
 
2.1%
Other values (82) 183
48.3%
Common
ValueCountFrequency (%)
20
80.0%
2 2
 
8.0%
1 2
 
8.0%
4 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
93.8%
ASCII 25
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 34
 
9.0%
복 29
 
7.7%
관 29
 
7.7%
인 22
 
5.8%
노 20
 
5.3%
회 19
 
5.0%
교 13
 
3.4%
당 12
 
3.2%
식 10
 
2.6%
종 8
 
2.1%
Other values (82) 183
48.3%
ASCII
ValueCountFrequency (%)
20
80.0%
2 2
 
8.0%
1 2
 
8.0%
4 1
 
4.0%

급식대상
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
독거노인, 결식노인, 노숙인, 저소득층 등
11 
65세 이상 노인
7 
독거노인, 결식노인 등
6 
결식우려 저소득층(수급자, 차상위) 60세이상 노인
5 
독거노인, 결식노인, 저소득층 등
2 
Other values (13)
14 

Length

Max length30
Median length27
Mean length18.555556
Min length9

Unique

Unique12 ?
Unique (%)26.7%

Sample

1st row기초생활수급자, 차상위계층, 저소득층
2nd row기초생활수급자, 차상위계층, 노인, 저소득 독거노인
3rd row결식노인, 저소득 노인
4th row독거노인, 결식노인, 노숙인, 저소득층 등
5th row독거노인, 결식노인, 저소득층 등

Common Values

ValueCountFrequency (%)
독거노인, 결식노인, 노숙인, 저소득층 등 11
24.4%
65세 이상 노인 7
15.6%
독거노인, 결식노인 등 6
13.3%
결식우려 저소득층(수급자, 차상위) 60세이상 노인 5
11.1%
독거노인, 결식노인, 저소득층 등 2
 
4.4%
기초생활수급자, 차상위계층 2
 
4.4%
65세 이상 저소득 노인 1
 
2.2%
결식노인, 저소득 노인 1
 
2.2%
기초생활수급자, 차상위계층, 독거노인 1
 
2.2%
복지관 회원 어르신(60세 이상 전주시 거주) 1
 
2.2%
Other values (8) 8
17.8%

Length

2024-03-14T09:52:29.271650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
독거노인 21
11.7%
결식노인 21
11.7%
등 19
10.6%
노인 16
 
8.9%
저소득층 14
 
7.8%
노숙인 12
 
6.7%
이상 9
 
5.0%
60세이상 9
 
5.0%
65세 8
 
4.5%
결식우려 6
 
3.4%
Other values (20) 44
24.6%

급식시간
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
중식(12:00-13:00)
28 
중식(11:30-12:30)
9 
중식(11:30-13:00)
 
2
중식(11:00-13:00)
 
1
중식(11:20-12:20)
 
1
Other values (4)
4 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique6 ?
Unique (%)13.3%

Sample

1st row중식(12:00-13:00)
2nd row중식(11:30-12:30)
3rd row중식(11:30-12:30)
4th row중식(11:00-13:00)
5th row중식(11:30-12:30)

Common Values

ValueCountFrequency (%)
중식(12:00-13:00) 28
62.2%
중식(11:30-12:30) 9
 
20.0%
중식(11:30-13:00) 2
 
4.4%
중식(11:00-13:00) 1
 
2.2%
중식(11:20-12:20) 1
 
2.2%
중식(11:30-12:40) 1
 
2.2%
중식(10:00-12:00) 1
 
2.2%
중식(11:30-12:00) 1
 
2.2%
중식(11:50-13:00) 1
 
2.2%

Length

2024-03-14T09:52:29.421023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:29.579179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중식(12:00-13:00 28
62.2%
중식(11:30-12:30 9
 
20.0%
중식(11:30-13:00 2
 
4.4%
중식(11:00-13:00 1
 
2.2%
중식(11:20-12:20 1
 
2.2%
중식(11:30-12:40 1
 
2.2%
중식(10:00-12:00 1
 
2.2%
중식(11:30-12:00 1
 
2.2%
중식(11:50-13:00 1
 
2.2%

급식일
Categorical

Distinct15
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
월~금
21 
월~토
6 
월, 수, 금
3 
월~일
 
2
금
 
2
Other values (10)
11 

Length

Max length12
Median length3
Mean length3.4888889
Min length1

Unique

Unique9 ?
Unique (%)20.0%

Sample

1st row월~토
2nd row월~토
3rd row월~토
4th row월~금
5th row월~금

Common Values

ValueCountFrequency (%)
월~금 21
46.7%
월~토 6
 
13.3%
월, 수, 금 3
 
6.7%
월~일 2
 
4.4%
금 2
 
4.4%
화 2
 
4.4%
화, 목 1
 
2.2%
목 1
 
2.2%
토 1
 
2.2%
화, 금 1
 
2.2%
Other values (5) 5
 
11.1%

Length

2024-03-14T09:52:29.697977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월~금 21
37.5%
월~토 6
 
10.7%
금 6
 
10.7%
수 5
 
8.9%
화 5
 
8.9%
월 3
 
5.4%
월~일 2
 
3.6%
목 2
 
3.6%
토 2
 
3.6%
월20일 1
 
1.8%
Other values (3) 3
 
5.4%

운영시작일
Text

Distinct27
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:29.949863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7333333
Min length7

Characters and Unicode

Total characters438
Distinct characters16
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

Unique20 ?
Unique (%)44.4%

Sample

1st row2001-05-30
2nd row2001-05-30
3rd row2002-01-01
4th row2015-01-01
5th row2007-05-01
ValueCountFrequency (%)
2015-01-01 9
18.4%
1.1일 4
 
8.2%
매년 4
 
8.2%
2015-02-01 3
 
6.1%
2013-01-01 3
 
6.1%
2001-05-30 2
 
4.1%
2014-01-01 2
 
4.1%
2009-03-02 2
 
4.1%
1999-12-01 1
 
2.0%
2014-04-01 1
 
2.0%
Other values (18) 18
36.7%
2024-03-14T09:52:30.271345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 129
29.5%
1 100
22.8%
- 82
18.7%
2 56
12.8%
5 20
 
4.6%
9 12
 
2.7%
3 11
 
2.5%
매 4
 
0.9%
년 4
 
0.9%
4
 
0.9%
Other values (6) 16
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
76.7%
Dash Punctuation 82
 
18.7%
Other Letter 12
 
2.7%
Space Separator 4
 
0.9%
Other Punctuation 4
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 129
38.4%
1 100
29.8%
2 56
16.7%
5 20
 
6.0%
9 12
 
3.6%
3 11
 
3.3%
4 4
 
1.2%
8 2
 
0.6%
7 1
 
0.3%
6 1
 
0.3%
Other Letter
ValueCountFrequency (%)
매 4
33.3%
년 4
33.3%
일 4
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 426
97.3%
Hangul 12
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 129
30.3%
1 100
23.5%
- 82
19.2%
2 56
13.1%
5 20
 
4.7%
9 12
 
2.8%
3 11
 
2.6%
4
 
0.9%
. 4
 
0.9%
4 4
 
0.9%
Other values (3) 4
 
0.9%
Hangul
ValueCountFrequency (%)
매 4
33.3%
년 4
33.3%
일 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 426
97.3%
Hangul 12
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 129
30.3%
1 100
23.5%
- 82
19.2%
2 56
13.1%
5 20
 
4.7%
9 12
 
2.8%
3 11
 
2.6%
4
 
0.9%
. 4
 
0.9%
4 4
 
0.9%
Other values (3) 4
 
0.9%
Hangul
ValueCountFrequency (%)
매 4
33.3%
년 4
33.3%
일 4
33.3%

운영종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
유지
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유지 45
100.0%

Length

2024-03-14T09:52:30.404067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:30.475977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유지 45
100.0%

지번주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T09:52:30.680996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length15.711111
Min length10

Characters and Unicode

Total characters707
Distinct characters85
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

Unique43 ?
Unique (%)95.6%

Sample

1st row전주시 덕진구 금암동 1546-1
2nd row전주시 덕진구 인후동1가 764-5
3rd row전주시 완산구 중화산동2가 555-1
4th row전주시 덕진구 금암동 766-5
5th row전주시 덕진구 덕진동2가 174
ValueCountFrequency (%)
전주시 14
 
8.6%
완산구 9
 
5.6%
덕진구 5
 
3.1%
익산시 5
 
3.1%
김제시 4
 
2.5%
완주군 4
 
2.5%
정읍시 4
 
2.5%
군산시 4
 
2.5%
평화동1가 3
 
1.9%
임실군 3
 
1.9%
Other values (101) 107
66.0%
2024-03-14T09:52:31.022892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
16.5%
1 40
 
5.7%
시 34
 
4.8%
- 34
 
4.8%
동 33
 
4.7%
5 25
 
3.5%
산 23
 
3.3%
2 22
 
3.1%
6 22
 
3.1%
주 21
 
3.0%
Other values (75) 336
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
52.2%
Decimal Number 187
26.4%
Space Separator 117
 
16.5%
Dash Punctuation 34
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 34
 
9.2%
동 33
 
8.9%
산 23
 
6.2%
주 21
 
5.7%
군 17
 
4.6%
구 16
 
4.3%
전 14
 
3.8%
가 13
 
3.5%
리 13
 
3.5%
완 13
 
3.5%
Other values (63) 172
46.6%
Decimal Number
ValueCountFrequency (%)
1 40
21.4%
5 25
13.4%
2 22
11.8%
6 22
11.8%
4 19
10.2%
3 16
 
8.6%
7 14
 
7.5%
0 13
 
7.0%
9 9
 
4.8%
8 7
 
3.7%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
52.2%
Common 338
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 34
 
9.2%
동 33
 
8.9%
산 23
 
6.2%
주 21
 
5.7%
군 17
 
4.6%
구 16
 
4.3%
전 14
 
3.8%
가 13
 
3.5%
리 13
 
3.5%
완 13
 
3.5%
Other values (63) 172
46.6%
Common
ValueCountFrequency (%)
117
34.6%
1 40
 
11.8%
- 34
 
10.1%
5 25
 
7.4%
2 22
 
6.5%
6 22
 
6.5%
4 19
 
5.6%
3 16
 
4.7%
7 14
 
4.1%
0 13
 
3.8%
Other values (2) 16
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
52.2%
ASCII 338
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
34.6%
1 40
 
11.8%
- 34
 
10.1%
5 25
 
7.4%
2 22
 
6.5%
6 22
 
6.5%
4 19
 
5.6%
3 16
 
4.7%
7 14
 
4.1%
0 13
 
3.8%
Other values (2) 16
 
4.7%
Hangul
ValueCountFrequency (%)
시 34
 
9.2%
동 33
 
8.9%
산 23
 
6.2%
주 21
 
5.7%
군 17
 
4.6%
구 16
 
4.3%
전 14
 
3.8%
가 13
 
3.5%
리 13
 
3.5%
완 13
 
3.5%
Other values (63) 172
46.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05619
Minimum126.69909
Maximum127.67281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-14T09:52:31.128206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69909
5-th percentile126.71693
Q1126.89244
median127.12292
Q3127.14303
95-th percentile127.36738
Maximum127.67281
Range0.973724
Interquartile range (IQR)0.250585

Descriptive statistics

Standard deviation0.20515235
Coefficient of variation (CV)0.0016146584
Kurtosis0.64396744
Mean127.05619
Median Absolute Deviation (MAD)0.152891
Skewness0.38997382
Sum5717.5288
Variance0.042087487
MonotonicityNot monotonic
2024-03-14T09:52:31.238730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
126.892442 2
 
4.4%
127.137196 1
 
2.2%
126.852087 1
 
2.2%
126.864082 1
 
2.2%
127.37735 1
 
2.2%
126.901295 1
 
2.2%
126.88955 1
 
2.2%
126.905872 1
 
2.2%
126.88844 1
 
2.2%
127.233271 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
126.69909 1
2.2%
126.709651 1
2.2%
126.715604 1
2.2%
126.722209 1
2.2%
126.750686 1
2.2%
126.852087 1
2.2%
126.864082 1
2.2%
126.88844 1
2.2%
126.88955 1
2.2%
126.889737 1
2.2%
ValueCountFrequency (%)
127.672814 1
2.2%
127.434317 1
2.2%
127.37735 1
2.2%
127.32752 1
2.2%
127.285755 1
2.2%
127.271422 1
2.2%
127.233271 1
2.2%
127.233203 1
2.2%
127.165294 1
2.2%
127.157083 1
2.2%

위도
Real number (ℝ)

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.775935
Minimum35.37511
Maximum36.00567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-14T09:52:31.344096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.37511
5-th percentile35.448323
Q135.688336
median35.802332
Q335.857341
95-th percentile35.98041
Maximum36.00567
Range0.63056
Interquartile range (IQR)0.169005

Descriptive statistics

Standard deviation0.16617297
Coefficient of variation (CV)0.0046448254
Kurtosis-0.034391729
Mean35.775935
Median Absolute Deviation (MAD)0.113996
Skewness-0.84275982
Sum1609.9171
Variance0.027613456
MonotonicityNot monotonic
2024-03-14T09:52:31.470170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.553922 2
 
4.4%
35.84308 1
 
2.2%
35.581588 1
 
2.2%
35.551841 1
 
2.2%
35.395895 1
 
2.2%
35.800232 1
 
2.2%
35.798728 1
 
2.2%
35.797641 1
 
2.2%
35.803457 1
 
2.2%
35.857111 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
35.37511 1
2.2%
35.395895 1
2.2%
35.435334 1
2.2%
35.500277 1
2.2%
35.54102 1
2.2%
35.551841 1
2.2%
35.553922 2
4.4%
35.581588 1
2.2%
35.614565 1
2.2%
35.674538 1
2.2%
ValueCountFrequency (%)
36.00567 1
2.2%
35.98288 1
2.2%
35.980552 1
2.2%
35.979844 1
2.2%
35.968524 1
2.2%
35.958432 1
2.2%
35.956908 1
2.2%
35.943346 1
2.2%
35.936242 1
2.2%
35.934382 1
2.2%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2015-09-30
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-09-30
2nd row2015-09-30
3rd row2015-09-30
4th row2015-09-30
5th row2015-09-30

Common Values

ValueCountFrequency (%)
2015-09-30 45
100.0%

Length

2024-03-14T09:52:31.588993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:31.683796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-09-30 45
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
사회복지과
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회복지과 45
100.0%

Length

2024-03-14T09:52:31.758366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:31.840504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회복지과 45
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
공개
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 45
100.0%

Length

2024-03-14T09:52:31.916394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:31.987257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 45
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2015.1
45 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 45
100.0%

Length

2024-03-14T09:52:32.072876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:32.211561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 45
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
1년
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 45
100.0%

Length

2024-03-14T09:52:32.335776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:52:32.424708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 45
100.0%

Interactions

2024-03-14T09:52:25.599424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.640853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.835026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:25.680851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.695515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.905656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:25.761706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.752237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:52:24.978061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:52:32.512540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설명도로명주소운영기관명전화번호급식장소급식대상급식시간급식일운영시작일지번주소경도위도
순번1.0000.9120.9300.9300.9290.8931.0000.8160.4900.4980.8890.9300.7860.746
시군명0.9121.0001.0001.0001.0001.0001.0000.8120.6920.8230.9451.0000.9590.794
시설명0.9301.0001.0001.0000.9851.0001.0001.0001.0001.0000.8701.0001.0001.000
도로명주소0.9301.0001.0001.0000.9851.0001.0001.0001.0001.0000.8701.0001.0001.000
운영기관명0.9291.0000.9850.9851.0001.0001.0001.0001.0000.0000.9850.9850.9611.000
전화번호0.8931.0001.0001.0001.0001.0001.0001.0001.0000.0000.9521.0000.9721.000
급식장소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
급식대상0.8160.8121.0001.0001.0001.0001.0001.0000.9640.0000.9821.0000.7470.000
급식시간0.4900.6921.0001.0001.0001.0001.0000.9641.0000.0000.1961.0000.7630.000
급식일0.4980.8231.0001.0000.0000.0001.0000.0000.0001.0000.9231.0000.8430.775
운영시작일0.8890.9450.8700.8700.9850.9521.0000.9820.1960.9231.0000.8700.8750.000
지번주소0.9301.0001.0001.0000.9851.0001.0001.0001.0001.0000.8701.0001.0001.000
경도0.7860.9591.0001.0000.9610.9721.0000.7470.7630.8430.8751.0001.0000.740
위도0.7460.7941.0001.0001.0001.0001.0000.0000.0000.7750.0001.0000.7401.000
2024-03-14T09:52:32.645660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명급식일급식대상급식시간
시군명1.0000.4490.3760.357
급식일0.4491.0000.0000.000
급식대상0.3760.0001.0000.606
급식시간0.3570.0000.6061.000
2024-03-14T09:52:32.735439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번경도위도시군명급식대상급식시간급식일
순번1.0000.092-0.3920.7150.4610.2340.169
경도0.0921.000-0.1130.7920.2860.3330.494
위도-0.392-0.1131.0000.4710.0000.0000.380
시군명0.7150.7920.4711.0000.3760.3570.449
급식대상0.4610.2860.0000.3761.0000.6060.000
급식시간0.2340.3330.0000.3570.6061.0000.000
급식일0.1690.4940.3800.4490.0000.0001.000

Missing values

2024-03-14T09:52:25.886494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:52:26.077964image/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

순번시군명시설명도로명주소운영기관명전화번호급식장소급식대상급식시간급식일운영시작일운영종료일지번주소경도위도데이터기준자료출처공개여부작성일갱신주기
01전주시금암노인복지관전주시 덕진구 삼송5길 12금암노인복지관063-253-5728금암노인복지관기초생활수급자, 차상위계층, 저소득층중식(12:00-13:00)월~토2001-05-30유지전주시 덕진구 금암동 1546-1127.13719635.843082015-09-30사회복지과공개2015.11년
12전주시안골노인복지관전주시 덕진구 안골1길 11안골노인복지관063-243-4377안골노인복지관 지하식당기초생활수급자, 차상위계층, 노인, 저소득 독거노인중식(11:30-12:30)월~토2001-05-30유지전주시 덕진구 인후동1가 764-5127.15708335.8384692015-09-30사회복지과공개2015.11년
23전주시서원노인복지관전주시 완산구 따박골5길 36서워노인복지관063-227-7483서원노인복지관 2층 경로식당결식노인, 저소득 노인중식(11:30-12:30)월~토2002-01-01유지전주시 완산구 중화산동2가 555-1127.12719735.8092015-09-30사회복지과공개2015.11년
34전주시전북불교회관전주시 덕진구 가리내로 42-13사회복지법인 대한불교조계종 금산사복지원063-277-3497전북불교회관독거노인, 결식노인, 노숙인, 저소득층 등중식(11:00-13:00)월~금2015-01-01유지전주시 덕진구 금암동 766-5127.12726935.8090552015-09-30사회복지과공개2015.11년
45전주시덕진노인복지관전주시 덕진구 덕진동2가174덕진노인복지관063-276-7963덕진노인복지관독거노인, 결식노인, 저소득층 등중식(11:30-12:30)월~금2007-05-01유지전주시 덕진구 덕진동2가 174127.12038835.8507822015-09-30사회복지과공개2015.11년
56전주시한국대학생선교회전주시 덕진구 덕진연못1길 9-5한국대학생선교회063-272-3676한국대학생선교회독거노인, 결식노인 등중식(11:30-12:30)월~금2002-03-02유지전주시 덕진구 덕진동1가 1280-12127.12292235.8451412015-09-30사회복지과공개2015.11년
67전주시양지노인복지관전주시 완산구 성지산로 55사회복지법인삼육재단063-232-1000양지노인복지관기초생활수급자, 차상위계층중식(11:30-12:30)월~금2008-05-28유지전주시 완산구 효자동1가 567-1127.12353135.8020422015-09-30사회복지과공개2015.11년
78전주시학산종합사회복지관전주시 완산구 모악로 4726학산종합사회복지관063-223-9999학산종합사회복지관기초생활수급자, 차상위계층, 독거노인중식(11:20-12:20)월~토1999-11-01유지전주시 완산구 평화동1가 663-3127.13267535.7915812015-09-30사회복지과공개2015.11년
89전주시꽃밭정이노인복지관전주시 완산구 평화14길 27-53이랜드복지재단063-237-0770꽃밭정이노인복지관복지관 회원 어르신(60세 이상 전주시 거주)중식(11:30-12:40)월~토2010-05-03유지전주시 완산구 평화동2가 230-2127.13395435.7914462015-09-30사회복지과공개2015.11년
910전주시양지노인복지관전주시 완산구 성지산로 55사회복지법인 삼육재단 양지노인복지관063-232-1000양지노인복지관 내 지하 1층기초생활수급자, 차상위계층중식(11:30-12:30)월~금2009-01-01유지전주시 완산구 효자동1가 567-1127.12346535.8023322015-09-30사회복지과공개2015.11년
순번시군명시설명도로명주소운영기관명전화번호급식장소급식대상급식시간급식일운영시작일운영종료일지번주소경도위도데이터기준자료출처공개여부작성일갱신주기
3536완주군완주군장애인복지관완주군 낙평장기로 22완주군장애인복지관063-261-7801완주군장애인복지관독거노인, 결식노인 등중식(12:00-13:00)화, 수2013-01-01유지완주군 봉동읍 낙평리 62127.11617435.73152015-09-30사회복지과공개2015.11년
3637완주군화산교회완주군 화산면 화산로 830-24화산교회063-263-5044화산교회독거노인, 결식노인 등중식(12:00-13:00)화2013-01-01유지완주군 화산면 화평리 552-7127.16529435.9343822015-09-30사회복지과공개2015.11년
3738진안군진안군장애인종합복지관진안군 진안읍 진무로 1189-1진안군장애인종합복지관063-432-8872진안군장애인종합복지관60세이상 저소득 노인중식(11:30-13:00)월20일2010-01-01유지진안군 진안읍 군상리 90-20127.43431735.7969772015-09-30사회복지과공개2015.11년
3839무주군무주종합복지관무주군 무주읍 한풍루로 425무주종합복지관063-322-1252무주종합복지관내 경로식당65세 이상 노인중식(11:50-13:00)월~금2015-01-01유지무주군 무주읍 당산리 623127.67281436.005672015-09-30사회복지과공개2015.11년
3940임실군임실군노인복지관임실군 임실읍 운수로 33-46임실군노인복지관063-644-4438임실군노인복지관독거노인, 결식노인, 노숙인, 저소득층 등중식(12:00-13:00)월, 수, 금2015-02-01유지임실군 임실읍 이도리 241127.28575535.6145652015-09-30사회복지과공개2015.11년
4041임실군임실군북부권노인복지관임실군 관촌면 사선1길 24임실군북부권노인복지관063-642-3844임실군북부권노인복지관독거노인, 결식노인, 노숙인, 저소득층 등중식(12:00-13:00)월, 수, 금2015-02-01유지임실군 관촌면 관촌리 177-2127.27142235.6745382015-09-30사회복지과공개2015.11년
4142임실군원불교 오수교당임실군 오수면 삼일로 28원불교 오수교당 봉공회063-642-1394원불교 오수교당 봉공회독거노인, 결식노인, 노숙인, 저소득층 등중식(12:00-13:00)월, 수, 금2015-02-01유지임실군 오수면 오수리 389-9127.3275235.541022015-09-30사회복지과공개2015.11년
4243순창군쌍치경로당순창군 쌍치면 쌍계로 35쌍치경로당063-650-5799쌍치경로당독거노인, 결식노인, 노숙인, 저소득층 등중식(12:00-13:00)월4-5회(5일장날)2012-10-11유지순창군 쌍치면 쌍계리 295-14127.00236735.5002772015-09-30사회복지과공개2015.11년
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