Overview

Dataset statistics

Number of variables16
Number of observations172
Missing cells667
Missing cells (%)24.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.1 KiB
Average record size in memory131.8 B

Variable types

DateTime3
Categorical4
Text6
Numeric3

Alerts

급식대상 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
시군명 is highly overall correlated with 소재지우편번호 and 4 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 4 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
급식시간 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
급식일 is highly overall correlated with 소재지우편번호High correlation
급식일 is highly imbalanced (60.6%)Imbalance
관리기관전화번호 has 2 (1.2%) missing valuesMissing
소재지우편번호 has 155 (90.1%) missing valuesMissing
소재지지번주소 has 155 (90.1%) missing valuesMissing
소재지도로명주소 has 155 (90.1%) missing valuesMissing
운영시작일자 has 54 (31.4%) missing valuesMissing
운영종료일자 has 144 (83.7%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:39:49.483401
Analysis finished2023-12-10 21:39:52.126480
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

데이터기준일자
Date

Distinct27
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2020-06-02 00:00:00
Maximum2023-10-13 00:00:00
2023-12-11T06:39:52.190951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:52.314582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

시군명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
성남시
28 
고양시
13 
안산시
13 
부천시
10 
화성시
10 
Other values (23)
98 

Length

Max length4
Median length3
Mean length3.0581395
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
성남시 28
16.3%
고양시 13
 
7.6%
안산시 13
 
7.6%
부천시 10
 
5.8%
화성시 10
 
5.8%
안양시 9
 
5.2%
수원시 9
 
5.2%
남양주시 8
 
4.7%
시흥시 7
 
4.1%
여주시 7
 
4.1%
Other values (18) 58
33.7%

Length

2023-12-11T06:39:52.459115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 28
16.3%
안산시 13
 
7.6%
고양시 13
 
7.6%
부천시 10
 
5.8%
화성시 10
 
5.8%
안양시 9
 
5.2%
수원시 9
 
5.2%
남양주시 8
 
4.7%
시흥시 7
 
4.1%
여주시 7
 
4.1%
Other values (18) 58
33.7%

시설명
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:52.703634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.180233
Min length4

Characters and Unicode

Total characters1751
Distinct characters211
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

Unique172 ?
Unique (%)100.0%

Sample

1st row가평군노인복지관
2nd row청평노인복지관
3rd row덕양노인종합복지관
4th row문촌7종합사회복지관
5th row대화노인종합복지관
ValueCountFrequency (%)
경로식당 40
 
17.3%
무료경로식당 6
 
2.6%
남면 2
 
0.9%
가평군노인복지관 1
 
0.4%
사랑나눔 1
 
0.4%
안성시노인복지관 1
 
0.4%
안성시노인복지관(공도 1
 
0.4%
나소향 1
 
0.4%
나눔밥상 1
 
0.4%
사랑의밥상 1
 
0.4%
Other values (176) 176
76.2%
2023-12-11T06:39:53.095125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 116
 
6.6%
복 114
 
6.5%
관 111
 
6.3%
회 76
 
4.3%
당 72
 
4.1%
경 71
 
4.1%
식 71
 
4.1%
로 70
 
4.0%
사 62
 
3.5%
종 61
 
3.5%
Other values (201) 927
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1660
94.8%
Space Separator 59
 
3.4%
Decimal Number 18
 
1.0%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 116
 
7.0%
복 114
 
6.9%
관 111
 
6.7%
회 76
 
4.6%
당 72
 
4.3%
경 71
 
4.3%
식 71
 
4.3%
로 70
 
4.2%
사 62
 
3.7%
종 61
 
3.7%
Other values (192) 836
50.4%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
1 6
33.3%
9 2
 
11.1%
7 1
 
5.6%
4 1
 
5.6%
3 1
 
5.6%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1660
94.8%
Common 91
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 116
 
7.0%
복 114
 
6.9%
관 111
 
6.7%
회 76
 
4.6%
당 72
 
4.3%
경 71
 
4.3%
식 71
 
4.3%
로 70
 
4.2%
사 62
 
3.7%
종 61
 
3.7%
Other values (192) 836
50.4%
Common
ValueCountFrequency (%)
59
64.8%
( 7
 
7.7%
) 7
 
7.7%
2 7
 
7.7%
1 6
 
6.6%
9 2
 
2.2%
7 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1660
94.8%
ASCII 91
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 116
 
7.0%
복 114
 
6.9%
관 111
 
6.7%
회 76
 
4.6%
당 72
 
4.3%
경 71
 
4.3%
식 71
 
4.3%
로 70
 
4.2%
사 62
 
3.7%
종 61
 
3.7%
Other values (192) 836
50.4%
ASCII
ValueCountFrequency (%)
59
64.8%
( 7
 
7.7%
) 7
 
7.7%
2 7
 
7.7%
1 6
 
6.6%
9 2
 
2.2%
7 1
 
1.1%
4 1
 
1.1%
3 1
 
1.1%

관리기관명
Text

Distinct166
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:53.365905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length9.5988372
Min length4

Characters and Unicode

Total characters1651
Distinct characters219
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

Unique163 ?
Unique (%)94.8%

Sample

1st row가평군노인복지관
2nd row청평노인복지관
3rd row덕양노인종합복지관
4th row문촌7종합사회복지관
5th row대화노인종합복지관
ValueCountFrequency (%)
대한적십자사봉사회 5
 
2.5%
양주지구협의회 5
 
2.5%
경로식당 3
 
1.5%
대한불교조계종사회복지재단 2
 
1.0%
해피월드복지재단 2
 
1.0%
사회복지법인 2
 
1.0%
산학협력단 2
 
1.0%
환경감시운동본부 1
 
0.5%
가평군노인복지관 1
 
0.5%
사랑나눔시민운동본부 1
 
0.5%
Other values (179) 179
88.2%
2023-12-11T06:39:53.815206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 132
 
8.0%
복 123
 
7.5%
관 111
 
6.7%
회 99
 
6.0%
사 81
 
4.9%
종 65
 
3.9%
합 62
 
3.8%
인 60
 
3.6%
노 51
 
3.1%
시 42
 
2.5%
Other values (209) 825
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1587
96.1%
Space Separator 31
 
1.9%
Decimal Number 18
 
1.1%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 132
 
8.3%
복 123
 
7.8%
관 111
 
7.0%
회 99
 
6.2%
사 81
 
5.1%
종 65
 
4.1%
합 62
 
3.9%
인 60
 
3.8%
노 51
 
3.2%
시 42
 
2.6%
Other values (198) 761
48.0%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
1 6
33.3%
9 2
 
11.1%
7 1
 
5.6%
3 1
 
5.6%
4 1
 
5.6%
5 1
 
5.6%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1587
96.1%
Common 64
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 132
 
8.3%
복 123
 
7.8%
관 111
 
7.0%
회 99
 
6.2%
사 81
 
5.1%
종 65
 
4.1%
합 62
 
3.9%
인 60
 
3.8%
노 51
 
3.2%
시 42
 
2.6%
Other values (198) 761
48.0%
Common
ValueCountFrequency (%)
31
48.4%
) 7
 
10.9%
( 7
 
10.9%
2 6
 
9.4%
1 6
 
9.4%
9 2
 
3.1%
7 1
 
1.6%
3 1
 
1.6%
4 1
 
1.6%
, 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1587
96.1%
ASCII 64
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 132
 
8.3%
복 123
 
7.8%
관 111
 
7.0%
회 99
 
6.2%
사 81
 
5.1%
종 65
 
4.1%
합 62
 
3.9%
인 60
 
3.8%
노 51
 
3.2%
시 42
 
2.6%
Other values (198) 761
48.0%
ASCII
ValueCountFrequency (%)
31
48.4%
) 7
 
10.9%
( 7
 
10.9%
2 6
 
9.4%
1 6
 
9.4%
9 2
 
3.1%
7 1
 
1.6%
3 1
 
1.6%
4 1
 
1.6%
, 1
 
1.6%

관리기관전화번호
Text

MISSING 

Distinct161
Distinct (%)94.7%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2023-12-11T06:39:54.197286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length9

Characters and Unicode

Total characters2045
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

Unique158 ?
Unique (%)92.9%

Sample

1st row031-581-0760
2nd row031-582-8879
3rd row031-969-7781
4th row031-916-4071
5th row031-917-1352
ValueCountFrequency (%)
031-207-6683 5
 
2.9%
031-8082-5713 5
 
2.9%
031-674-0794 2
 
1.2%
031-464-5129 1
 
0.6%
031-446-5936 1
 
0.6%
031-581-0760 1
 
0.6%
031-471-8110 1
 
0.6%
031-417-3677 1
 
0.6%
031-418-8336 1
 
0.6%
031-409-3777 1
 
0.6%
Other values (151) 151
88.8%
2023-12-11T06:39:54.698791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 339
16.6%
0 329
16.1%
3 279
13.6%
1 274
13.4%
7 129
 
6.3%
2 125
 
6.1%
5 124
 
6.1%
8 122
 
6.0%
4 113
 
5.5%
9 107
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1706
83.4%
Dash Punctuation 339
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 329
19.3%
3 279
16.4%
1 274
16.1%
7 129
 
7.6%
2 125
 
7.3%
5 124
 
7.3%
8 122
 
7.2%
4 113
 
6.6%
9 107
 
6.3%
6 104
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 339
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 339
16.6%
0 329
16.1%
3 279
13.6%
1 274
13.4%
7 129
 
6.3%
2 125
 
6.1%
5 124
 
6.1%
8 122
 
6.0%
4 113
 
5.5%
9 107
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 339
16.6%
0 329
16.1%
3 279
13.6%
1 274
13.4%
7 129
 
6.3%
2 125
 
6.1%
5 124
 
6.1%
8 122
 
6.0%
4 113
 
5.5%
9 107
 
5.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)100.0%
Missing155
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean15472.471
Minimum14203
Maximum18143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:39:54.865608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14203
5-th percentile14211.8
Q114315
median14951
Q315070
95-th percentile18136.6
Maximum18143
Range3940
Interquartile range (IQR)755

Descriptive statistics

Standard deviation1551.7241
Coefficient of variation (CV)0.10028936
Kurtosis-0.33758642
Mean15472.471
Median Absolute Deviation (MAD)636
Skewness1.2012056
Sum263032
Variance2407847.8
MonotonicityNot monotonic
2023-12-11T06:39:55.022360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14245 1
 
0.6%
18115 1
 
0.6%
18143 1
 
0.6%
18109 1
 
0.6%
18135 1
 
0.6%
14951 1
 
0.6%
15017 1
 
0.6%
14995 1
 
0.6%
14332 1
 
0.6%
15070 1
 
0.6%
Other values (7) 7
 
4.1%
(Missing) 155
90.1%
ValueCountFrequency (%)
14203 1
0.6%
14214 1
0.6%
14245 1
0.6%
14307 1
0.6%
14315 1
0.6%
14332 1
0.6%
14904 1
0.6%
14922 1
0.6%
14951 1
0.6%
14995 1
0.6%
ValueCountFrequency (%)
18143 1
0.6%
18135 1
0.6%
18115 1
0.6%
18109 1
0.6%
15070 1
0.6%
15055 1
0.6%
15017 1
0.6%
14995 1
0.6%
14951 1
0.6%
14922 1
0.6%

소재지지번주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing155
Missing (%)90.1%
Memory size1.5 KiB
2023-12-11T06:39:55.257953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length20.117647
Min length15

Characters and Unicode

Total characters342
Distinct characters57
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

Unique17 ?
Unique (%)100.0%

Sample

1st row경기도 광명시 소하동 324-2번지
2nd row경기도 광명시 하안동 683
3rd row경기도 광명시 철산동 158번지
4th row경기도 광명시 광명동 158-970번지
5th row경기도 광명시 하안동 200번지 하안13단지고층주공아파트
ValueCountFrequency (%)
경기도 17
23.9%
시흥시 7
 
9.9%
광명시 6
 
8.5%
오산시 4
 
5.6%
소하동 2
 
2.8%
하안동 2
 
2.8%
정왕동 2
 
2.8%
765번지 1
 
1.4%
1878-11번지 1
 
1.4%
신천동 1
 
1.4%
Other values (28) 28
39.4%
2023-12-11T06:39:55.629858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
15.8%
시 25
 
7.3%
지 18
 
5.3%
경 17
 
5.0%
동 17
 
5.0%
기 17
 
5.0%
도 17
 
5.0%
번 16
 
4.7%
1 12
 
3.5%
8 12
 
3.5%
Other values (47) 137
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
59.9%
Decimal Number 73
 
21.3%
Space Separator 54
 
15.8%
Dash Punctuation 10
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 25
12.2%
지 18
 
8.8%
경 17
 
8.3%
동 17
 
8.3%
기 17
 
8.3%
도 17
 
8.3%
번 16
 
7.8%
흥 8
 
3.9%
명 7
 
3.4%
광 7
 
3.4%
Other values (35) 56
27.3%
Decimal Number
ValueCountFrequency (%)
1 12
16.4%
8 12
16.4%
0 8
11.0%
5 8
11.0%
3 8
11.0%
2 7
9.6%
7 6
8.2%
4 5
6.8%
6 4
 
5.5%
9 3
 
4.1%
Space Separator
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
59.9%
Common 137
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 25
12.2%
지 18
 
8.8%
경 17
 
8.3%
동 17
 
8.3%
기 17
 
8.3%
도 17
 
8.3%
번 16
 
7.8%
흥 8
 
3.9%
명 7
 
3.4%
광 7
 
3.4%
Other values (35) 56
27.3%
Common
ValueCountFrequency (%)
54
39.4%
1 12
 
8.8%
8 12
 
8.8%
- 10
 
7.3%
0 8
 
5.8%
5 8
 
5.8%
3 8
 
5.8%
2 7
 
5.1%
7 6
 
4.4%
4 5
 
3.6%
Other values (2) 7
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
59.9%
ASCII 137
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
39.4%
1 12
 
8.8%
8 12
 
8.8%
- 10
 
7.3%
0 8
 
5.8%
5 8
 
5.8%
3 8
 
5.8%
2 7
 
5.1%
7 6
 
4.4%
4 5
 
3.6%
Other values (2) 7
 
5.1%
Hangul
ValueCountFrequency (%)
시 25
12.2%
지 18
 
8.8%
경 17
 
8.3%
동 17
 
8.3%
기 17
 
8.3%
도 17
 
8.3%
번 16
 
7.8%
흥 8
 
3.9%
명 7
 
3.4%
광 7
 
3.4%
Other values (35) 56
27.3%

소재지도로명주소
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing155
Missing (%)90.1%
Memory size1.5 KiB
2023-12-11T06:39:55.844850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.529412
Min length14

Characters and Unicode

Total characters281
Distinct characters54
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

Unique17 ?
Unique (%)100.0%

Sample

1st row경기도 광명시 설월로 10
2nd row경기도 광명시 하안동 683
3rd row경기도 광명시 연서일로 4-3
4th row경기도 광명시 오리로 1018
5th row경기도 광명시 하안로 238
ValueCountFrequency (%)
경기도 17
25.0%
시흥시 7
 
10.3%
광명시 6
 
8.8%
오산시 4
 
5.9%
37 2
 
2.9%
28-5 1
 
1.5%
오산로132번길 1
 
1.5%
192 1
 
1.5%
수청로 1
 
1.5%
23 1
 
1.5%
Other values (27) 27
39.7%
2023-12-11T06:39:56.193819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
18.1%
시 25
 
8.9%
경 17
 
6.0%
도 17
 
6.0%
기 17
 
6.0%
로 16
 
5.7%
2 12
 
4.3%
3 9
 
3.2%
1 8
 
2.8%
흥 8
 
2.8%
Other values (44) 101
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
60.9%
Decimal Number 57
 
20.3%
Space Separator 51
 
18.1%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 25
14.6%
경 17
 
9.9%
도 17
 
9.9%
기 17
 
9.9%
로 16
 
9.4%
흥 8
 
4.7%
오 7
 
4.1%
명 6
 
3.5%
산 6
 
3.5%
광 6
 
3.5%
Other values (32) 46
26.9%
Decimal Number
ValueCountFrequency (%)
2 12
21.1%
3 9
15.8%
1 8
14.0%
7 7
12.3%
8 5
8.8%
5 4
 
7.0%
6 4
 
7.0%
4 3
 
5.3%
0 3
 
5.3%
9 2
 
3.5%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
60.9%
Common 110
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 25
14.6%
경 17
 
9.9%
도 17
 
9.9%
기 17
 
9.9%
로 16
 
9.4%
흥 8
 
4.7%
오 7
 
4.1%
명 6
 
3.5%
산 6
 
3.5%
광 6
 
3.5%
Other values (32) 46
26.9%
Common
ValueCountFrequency (%)
51
46.4%
2 12
 
10.9%
3 9
 
8.2%
1 8
 
7.3%
7 7
 
6.4%
8 5
 
4.5%
5 4
 
3.6%
6 4
 
3.6%
4 3
 
2.7%
0 3
 
2.7%
Other values (2) 4
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
60.9%
ASCII 110
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
46.4%
2 12
 
10.9%
3 9
 
8.2%
1 8
 
7.3%
7 7
 
6.4%
8 5
 
4.5%
5 4
 
3.6%
6 4
 
3.6%
4 3
 
2.7%
0 3
 
2.7%
Other values (2) 4
 
3.6%
Hangul
ValueCountFrequency (%)
시 25
14.6%
경 17
 
9.9%
도 17
 
9.9%
기 17
 
9.9%
로 16
 
9.4%
흥 8
 
4.7%
오 7
 
4.1%
명 6
 
3.5%
산 6
 
3.5%
광 6
 
3.5%
Other values (32) 46
26.9%

급식장소
Text

Distinct164
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:39:56.491273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.8081395
Min length3

Characters and Unicode

Total characters1687
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)94.2%

Sample

1st row가평군노인복지관
2nd row청평노인복지관
3rd row덕양노인종합복지관
4th row문촌7종합사회복지관
5th row대화노인종합복지관
ValueCountFrequency (%)
경로식당 33
 
13.8%
수원역 8
 
3.3%
내 5
 
2.1%
식당 3
 
1.3%
경로당 2
 
0.8%
안양시노인종합복지관 1
 
0.4%
사랑의밥상 1
 
0.4%
환경사랑나눔의집 1
 
0.4%
비산종합사회복지관 1
 
0.4%
율목종합사회복지관 1
 
0.4%
Other values (183) 183
76.6%
2023-12-11T06:39:56.895708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 122
 
7.2%
복 117
 
6.9%
관 114
 
6.8%
회 75
 
4.4%
67
 
4.0%
합 63
 
3.7%
종 63
 
3.7%
인 61
 
3.6%
사 58
 
3.4%
당 55
 
3.3%
Other values (211) 892
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1571
93.1%
Space Separator 67
 
4.0%
Decimal Number 29
 
1.7%
Uppercase Letter 10
 
0.6%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 122
 
7.8%
복 117
 
7.4%
관 114
 
7.3%
회 75
 
4.8%
합 63
 
4.0%
종 63
 
4.0%
인 61
 
3.9%
사 58
 
3.7%
당 55
 
3.5%
노 53
 
3.4%
Other values (191) 790
50.3%
Decimal Number
ValueCountFrequency (%)
1 9
31.0%
2 7
24.1%
3 5
17.2%
6 2
 
6.9%
4 2
 
6.9%
9 2
 
6.9%
7 1
 
3.4%
0 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
E 4
40.0%
R 1
 
10.0%
B 1
 
10.0%
T 1
 
10.0%
M 1
 
10.0%
C 1
 
10.0%
J 1
 
10.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1571
93.1%
Common 106
 
6.3%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 122
 
7.8%
복 117
 
7.4%
관 114
 
7.3%
회 75
 
4.8%
합 63
 
4.0%
종 63
 
4.0%
인 61
 
3.9%
사 58
 
3.7%
당 55
 
3.5%
노 53
 
3.4%
Other values (191) 790
50.3%
Common
ValueCountFrequency (%)
67
63.2%
1 9
 
8.5%
2 7
 
6.6%
3 5
 
4.7%
) 4
 
3.8%
( 4
 
3.8%
6 2
 
1.9%
4 2
 
1.9%
9 2
 
1.9%
& 1
 
0.9%
Other values (3) 3
 
2.8%
Latin
ValueCountFrequency (%)
E 4
40.0%
R 1
 
10.0%
B 1
 
10.0%
T 1
 
10.0%
M 1
 
10.0%
C 1
 
10.0%
J 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1571
93.1%
ASCII 116
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 122
 
7.8%
복 117
 
7.4%
관 114
 
7.3%
회 75
 
4.8%
합 63
 
4.0%
종 63
 
4.0%
인 61
 
3.9%
사 58
 
3.7%
당 55
 
3.5%
노 53
 
3.4%
Other values (191) 790
50.3%
ASCII
ValueCountFrequency (%)
67
57.8%
1 9
 
7.8%
2 7
 
6.0%
3 5
 
4.3%
) 4
 
3.4%
E 4
 
3.4%
( 4
 
3.4%
6 2
 
1.7%
4 2
 
1.7%
9 2
 
1.7%
Other values (10) 10
 
8.6%

급식대상
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
60세이상 수급자+저소득노인
13 
저소득노인 및 결식노인
12 
가정형편 등 부득이한 사유로 식사를 거르는 60세 이상 노인
12 
저소득노인
 
11
60세 이상 노인
 
10
Other values (32)
114 

Length

Max length39
Median length23
Mean length14.494186
Min length3

Unique

Unique10 ?
Unique (%)5.8%

Sample

1st row60세이상 노인
2nd row60세이상 노인
3rd row60세이상 수급자+저소득노인
4th row60세이상 수급자+저소득노인
5th row60세이상 수급자+저소득노인

Common Values

ValueCountFrequency (%)
60세이상 수급자+저소득노인 13
 
7.6%
저소득노인 및 결식노인 12
 
7.0%
가정형편 등 부득이한 사유로 식사를 거르는 60세 이상 노인 12
 
7.0%
저소득노인 11
 
6.4%
60세 이상 노인 10
 
5.8%
60세 이상 10
 
5.8%
결식우려 노인 9
 
5.2%
노숙인 9
 
5.2%
독거노인+결식노인 8
 
4.7%
결식이 우려되는 저소득 노인 7
 
4.1%
Other values (27) 71
41.3%

Length

2023-12-11T06:39:57.085862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인 66
 
12.0%
이상 55
 
10.0%
60세 53
 
9.7%
및 27
 
4.9%
저소득 27
 
4.9%
저소득노인 23
 
4.2%
결식노인 23
 
4.2%
60세이상 19
 
3.5%
등 19
 
3.5%
식사를 16
 
2.9%
Other values (43) 220
40.1%

급식시간
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
중식(11:30~13:00)
28 
중식(11:30~12:30)
25 
중식(12:00-13:00)
16 
중식(11:30-12:30)
14 
중식(11:30-13:00)
10 
Other values (44)
79 

Length

Max length17
Median length15
Mean length14.383721
Min length5

Unique

Unique32 ?
Unique (%)18.6%

Sample

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

Common Values

ValueCountFrequency (%)
중식(11:30~13:00) 28
16.3%
중식(11:30~12:30) 25
14.5%
중식(12:00-13:00) 16
 
9.3%
중식(11:30-12:30) 14
 
8.1%
중식(11:30-13:00) 10
 
5.8%
중식(12:00~13:00) 8
 
4.7%
중식(11:00-13:00) 8
 
4.7%
11:00 - 13:00 7
 
4.1%
12:00 5
 
2.9%
11:30 ~ 12:30 5
 
2.9%
Other values (39) 46
26.7%

Length

2023-12-11T06:39:57.225372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중식(11:30~13:00 28
13.9%
중식(11:30~12:30 25
 
12.4%
중식(12:00-13:00 16
 
7.9%
14
 
6.9%
중식(11:30-12:30 14
 
6.9%
중식(11:30-13:00 10
 
5.0%
13:00 9
 
4.5%
중식(12:00~13:00 8
 
4.0%
중식(11:00-13:00 8
 
4.0%
11:00 7
 
3.5%
Other values (40) 63
31.2%

급식일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
월+화+수+목+금
127 
월+화+수+목+금+토
26 
월
 
3
화+수+목+금+토
 
2
토
 
2
Other values (8)
 
12

Length

Max length13
Median length9
Mean length8.6511628
Min length1

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row월+화+수+목+금
2nd row월+화+수+목+금
3rd row월+화+수+목+금
4th row월+화+수+목+금
5th row월+화+수+목+금

Common Values

ValueCountFrequency (%)
월+화+수+목+금 127
73.8%
월+화+수+목+금+토 26
 
15.1%
월 3
 
1.7%
화+수+목+금+토 2
 
1.2%
토 2
 
1.2%
목 2
 
1.2%
일 2
 
1.2%
월화수목금 2
 
1.2%
수 2
 
1.2%
일+월+화+수+목+금+토 1
 
0.6%
Other values (3) 3
 
1.7%

Length

2023-12-11T06:39:57.336465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월+화+수+목+금 127
73.8%
월+화+수+목+금+토 26
 
15.1%
월 3
 
1.7%
화+수+목+금+토 2
 
1.2%
토 2
 
1.2%
목 2
 
1.2%
일 2
 
1.2%
월화수목금 2
 
1.2%
수 2
 
1.2%
일+월+화+수+목+금+토 1
 
0.6%
Other values (3) 3
 
1.7%

운영시작일자
Date

MISSING 

Distinct91
Distinct (%)77.1%
Missing54
Missing (%)31.4%
Memory size1.5 KiB
Minimum1996-04-30 00:00:00
Maximum2023-04-24 00:00:00
2023-12-11T06:39:57.448701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:57.576463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영종료일자
Date

MISSING 

Distinct5
Distinct (%)17.9%
Missing144
Missing (%)83.7%
Memory size1.5 KiB
Minimum2019-12-31 00:00:00
Maximum2025-12-31 00:00:00
2023-12-11T06:39:57.676301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:57.770160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct163
Distinct (%)95.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean37.432293
Minimum36.957647
Maximum37.907422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:39:57.895385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957647
5-th percentile37.126936
Q137.298501
median37.415398
Q337.539041
95-th percentile37.830196
Maximum37.907422
Range0.9497747
Interquartile range (IQR)0.24054037

Descriptive statistics

Standard deviation0.20273359
Coefficient of variation (CV)0.0054160078
Kurtosis-0.063583114
Mean37.432293
Median Absolute Deviation (MAD)0.11988092
Skewness0.30052684
Sum6400.922
Variance0.041100909
MonotonicityNot monotonic
2023-12-11T06:39:58.024515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26567858 8
 
4.7%
37.53904092 2
 
1.2%
37.39311959 1
 
0.6%
37.0043438 1
 
0.6%
36.9980605 1
 
0.6%
37.4042442 1
 
0.6%
37.39782435 1
 
0.6%
37.40585525 1
 
0.6%
37.41539775 1
 
0.6%
37.40290732 1
 
0.6%
Other values (153) 153
89.0%
ValueCountFrequency (%)
36.95764707 1
0.6%
36.98562396 1
0.6%
36.9980605 1
0.6%
36.9988409 1
0.6%
37.0043438 1
0.6%
37.06571536 1
0.6%
37.09634242 1
0.6%
37.1156648 1
0.6%
37.12565616 1
0.6%
37.12821527 1
0.6%
ValueCountFrequency (%)
37.90742177 1
0.6%
37.90515451 1
0.6%
37.904846 1
0.6%
37.88630415 1
0.6%
37.86821718 1
0.6%
37.85675241 1
0.6%
37.83814235 1
0.6%
37.8336279 1
0.6%
37.83094838 1
0.6%
37.82944315 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct163
Distinct (%)95.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean127.02515
Minimum126.60688
Maximum127.64064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:39:58.163398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60688
5-th percentile126.76154
Q1126.85053
median127.00009
Q3127.13995
95-th percentile127.52365
Maximum127.64064
Range1.0337524
Interquartile range (IQR)0.28941977

Descriptive statistics

Standard deviation0.21413997
Coefficient of variation (CV)0.0016858077
Kurtosis1.0296466
Mean127.02515
Median Absolute Deviation (MAD)0.1421301
Skewness0.96202027
Sum21721.3
Variance0.045855926
MonotonicityNot monotonic
2023-12-11T06:39:58.309062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0000947 8
 
4.7%
127.2146137 2
 
1.2%
126.9084368 1
 
0.6%
127.2750849 1
 
0.6%
127.1697981 1
 
0.6%
126.9616125 1
 
0.6%
126.9192685 1
 
0.6%
126.9340762 1
 
0.6%
126.9113128 1
 
0.6%
126.9136364 1
 
0.6%
Other values (153) 153
89.0%
ValueCountFrequency (%)
126.6068832 1
0.6%
126.7226134 1
0.6%
126.7320235 1
0.6%
126.7375199634 1
0.6%
126.7408069948 1
0.6%
126.7481577745 1
0.6%
126.7551635503 1
0.6%
126.7601759971 1
0.6%
126.7604421782 1
0.6%
126.7626308 1
0.6%
ValueCountFrequency (%)
127.6406356 1
0.6%
127.6402345 1
0.6%
127.6387002 1
0.6%
127.6384443 1
0.6%
127.6322747 1
0.6%
127.6295069 1
0.6%
127.5530748 1
0.6%
127.5457893 1
0.6%
127.5361038 1
0.6%
127.5112023 1
0.6%

Interactions

2023-12-11T06:39:51.052856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.532428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.804385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:51.144881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.621942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.897786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:51.241773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.715925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:39:50.974116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:39:58.419421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터기준일자시군명소재지우편번호소재지지번주소소재지도로명주소급식대상급식시간급식일운영시작일자운영종료일자WGS84위도WGS84경도
데이터기준일자1.0001.0001.0001.0001.0000.9990.9610.7070.9900.9880.9420.926
시군명1.0001.0001.0001.0001.0000.9990.9620.6920.9911.0000.9480.930
소재지우편번호1.0001.0001.0001.0001.0000.8510.8500.9791.000NaN0.9711.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
급식대상0.9990.9990.8511.0001.0001.0000.9510.6310.9891.0000.9490.932
급식시간0.9610.9620.8501.0001.0000.9511.0000.8320.0001.0000.8090.847
급식일0.7070.6920.9791.0001.0000.6310.8321.0000.0000.0000.5850.000
운영시작일자0.9900.9911.0001.0001.0000.9890.0000.0001.0001.0000.8130.892
운영종료일자0.9881.000NaNNaNNaN1.0001.0000.0001.0001.0000.8830.785
WGS84위도0.9420.9480.9711.0001.0000.9490.8090.5850.8130.8831.0000.711
WGS84경도0.9260.9301.0001.0001.0000.9320.8470.0000.8920.7850.7111.000
2023-12-11T06:39:58.548781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식대상시군명급식시간급식일
급식대상1.0000.9440.4630.225
시군명0.9441.0000.5270.282
급식시간0.4630.5271.0000.369
급식일0.2250.2820.3691.000
2023-12-11T06:39:58.640245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명급식대상급식시간급식일
소재지우편번호1.000-0.9950.2160.9640.7970.5060.820
WGS84위도-0.9951.000-0.0990.7030.6690.3770.285
WGS84경도0.216-0.0991.0000.6510.6190.4240.000
시군명0.9640.7030.6511.0000.9440.5270.282
급식대상0.7970.6690.6190.9441.0000.4630.225
급식시간0.5060.3770.4240.5270.4631.0000.369
급식일0.8200.2850.0000.2820.2250.3691.000

Missing values

2023-12-11T06:39:51.397888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:39:51.846508image/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.
2023-12-11T06:39:52.024541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

데이터기준일자시군명시설명관리기관명관리기관전화번호소재지우편번호소재지지번주소소재지도로명주소급식장소급식대상급식시간급식일운영시작일자운영종료일자WGS84위도WGS84경도
02023-05-25가평군가평군노인복지관가평군노인복지관031-581-0760<NA><NA><NA>가평군노인복지관60세이상 노인중식(12:00-13:00)월+화+수+목+금2002-01-01<NA>37.833628127.511202
12023-05-25가평군청평노인복지관청평노인복지관031-582-8879<NA><NA><NA>청평노인복지관60세이상 노인중식(12:00-13:00)월+화+수+목+금2020-01-01<NA>37.739212127.424327
22023-07-11고양시덕양노인종합복지관덕양노인종합복지관031-969-7781<NA><NA><NA>덕양노인종합복지관60세이상 수급자+저소득노인중식(12:00-13:00)월+화+수+목+금2000-10-01<NA>37.648494126.836861
32023-07-11고양시문촌7종합사회복지관문촌7종합사회복지관031-916-4071<NA><NA><NA>문촌7종합사회복지관60세이상 수급자+저소득노인중식(12:00-13:00)월+화+수+목+금1996-10-26<NA>37.674489126.755164
42023-07-11고양시대화노인종합복지관대화노인종합복지관031-917-1352<NA><NA><NA>대화노인종합복지관60세이상 수급자+저소득노인중식(11:30-13:00)월+화+수+목+금2014-07-01<NA>37.674475126.748158
52023-07-11고양시흰돌종합사회복지관흰돌종합사회복지관031-905-3400<NA><NA><NA>흰돌종합사회복지관60세이상 수급자+저소득노인중식(11:30-12.30)월+화+수+목+금1996-04-30<NA>37.642803126.786193
62023-07-11고양시일산노인종합복지관일산노인종합복지관031-919-8677<NA><NA><NA>일산노인종합복지관60세이상 수급자+저소득노인중식(12:00-13:00)월+화+수+목+금2000-04-20<NA>37.664447126.760442
72023-07-11고양시천수천안자비나눔의집천수천안031-969-0108<NA><NA><NA>천수천안자비나눔의집60세이상 수급자+저소득노인중식(11:30-12.30)월+화+수+목+금2014-05-30<NA>37.63053126.835321
82023-07-11고양시지축종합사회복지관지축종합사회복지관02-381-8938<NA><NA><NA>지축종합사회복지관60세이상 수급자+저소득노인중식(11:30-12:30)월+화+수+목+금2022-05-23<NA>37.650422126.925605
92023-07-11고양시향동종합사회복지관향동종합사회복지관02-6959-4436<NA><NA><NA>향동종합사회복지관60세이상 수급자+저소득노인중식(11:30-12:30)월+화+수+목+금2021-01-01<NA>37.607718126.896444
데이터기준일자시군명시설명관리기관명관리기관전화번호소재지우편번호소재지지번주소소재지도로명주소급식장소급식대상급식시간급식일운영시작일자운영종료일자WGS84위도WGS84경도
1622023-06-01화성시더불어사는우리 만나무료급식소더불어사는우리 만나무료급식소031-355-2580<NA><NA><NA>더불어사는우리 만나무료급식소60세 이상 노인중식(11:00~12:30)월+화+수+목+금2018-02-01<NA>37.210609126.820421
1632023-06-01화성시화성시서부노인복지관화성시서부노인복지관070-4832-6455<NA><NA><NA>화성시서부노인복지관 경로식당60세 이상 노인중식(12:00~13:00)월+화+수+목+금2022-01-02<NA>37.198537126.828883
1642023-06-01화성시화성시서부종합사회복지관화성시서부종합사회복지관031-366-7390<NA><NA><NA>화성시서부종합사회복지관 경로식당60세 이상 노인중식(11:30~12:30)월+화+수+목+금2014-10-01<NA>37.213075126.732023
1652023-06-01화성시화성효나눔노인복지센터화성효나눔노인복지센터031-223-9936<NA><NA><NA>화성시 동부출장소 내 지하식당60세 이상 노인중식(11:30~12:30)토2020-01-07<NA>37.212139127.042035
1662023-06-01화성시화성시동탄노인복지관화성시동탄노인복지관031-8077-1800<NA><NA><NA>화성시동탄노인복지관 경로식당60세 이상 노인중식(11:30~13:00)월+화+수+목+금2019-10-01<NA>37.170548127.110457
1672023-06-01화성시기쁨두배복지센터기쁨두배복지센터031-354-9991<NA><NA><NA>기쁨두배복지센터60세 이상 노인중식(12:00~13:00)수+토2008-10-24<NA>37.125656126.913757
1682023-06-01화성시화성시남부노인복지관화성시남부노인복지관031-366-5678<NA><NA><NA>화성시남부노인복지관 경로식당60세 이상 노인중식(11:40~13:30)월+화+수+목+금2014-04-16<NA>37.128215126.937442
1692023-06-01화성시화성시나래울종합사회복지관화성시나래울종합사회복지관031-8015-7411<NA><NA><NA>화성시나래울종합사회복지관 경로식당60세 이상 노인중식(11:30~12:30)월+화+수+목+금2015-07-03<NA>37.205202127.051495
1702023-06-01화성시동탄나라사랑나눔재단 병점무료급식소동탄나라사랑나눔재단 병점무료급식소031-225-2232<NA><NA><NA>병점옆 앞 광장60세 이상 노인중식(11:40~13:00)수2017-02-20<NA>37.20011127.045919
1712023-06-01화성시화성시동탄치동천종합사회복지관화성시동탄치동천종합사회복지관031-378-8111<NA><NA><NA>화성시동탄치동천종합사회복지관 경로식당60세 이상 노인중식(11:30~12:30)월+화+수+목+금2016-07-14<NA>37.205074127.119515