Overview

Dataset statistics

Number of variables14
Number of observations236
Missing cells167
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory114.6 B

Variable types

Text6
Categorical5
DateTime1
Numeric2

Dataset

Description무료 급식소 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=BULYGH0091SM8JZQN21V12593824&infSeq=1

Alerts

운영종료일자 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
급식대상 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
위도 is highly overall correlated with 급식대상 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 급식대상 and 3 other fieldsHigh correlation
급식시간 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
급식요일 is highly overall correlated with 급식시간High correlation
급식요일 is highly imbalanced (56.3%)Imbalance
운영종료일자 is highly imbalanced (71.3%)Imbalance
소재지도로명주소 has 56 (23.7%) missing valuesMissing
소재지지번주소 has 10 (4.2%) missing valuesMissing
전화번호 has 5 (2.1%) missing valuesMissing
운영시작일자 has 96 (40.7%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-05-10 21:40:11.592494
Analysis finished2024-05-10 21:40:16.293192
Duration4.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-10T21:40:16.580105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.135593
Min length4

Characters and Unicode

Total characters2392
Distinct characters260
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

Unique236 ?
Unique (%)100.0%

Sample

1st row보라매지역아동센터
2nd row부곡지역아동센터
3rd row브니엘영광지역아동센터
4th row사랑나눔지역아동센터
5th row산성지역아동센터
ValueCountFrequency (%)
경로식당 39
 
12.5%
지역아동센터 24
 
7.7%
무료경로식당 3
 
1.0%
성생녹촌2리마을회 1
 
0.3%
군포시매화종합사회복지관 1
 
0.3%
군포시노인복지관 1
 
0.3%
인창경로식당 1
 
0.3%
수택경로식당 1
 
0.3%
양평군장애인복지관 1
 
0.3%
보라매지역아동센터 1
 
0.3%
Other values (240) 240
76.7%
2024-05-10T21:40:17.549097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
7.7%
122
 
5.1%
113
 
4.7%
93
 
3.9%
79
 
3.3%
77
 
3.2%
69
 
2.9%
69
 
2.9%
69
 
2.9%
68
 
2.8%
Other values (250) 1448
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2291
95.8%
Space Separator 77
 
3.2%
Decimal Number 16
 
0.7%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
185
 
8.1%
122
 
5.3%
113
 
4.9%
93
 
4.1%
79
 
3.4%
69
 
3.0%
69
 
3.0%
69
 
3.0%
68
 
3.0%
64
 
2.8%
Other values (241) 1360
59.4%
Decimal Number
ValueCountFrequency (%)
1 6
37.5%
2 5
31.2%
9 2
 
12.5%
7 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2291
95.8%
Common 101
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
185
 
8.1%
122
 
5.3%
113
 
4.9%
93
 
4.1%
79
 
3.4%
69
 
3.0%
69
 
3.0%
69
 
3.0%
68
 
3.0%
64
 
2.8%
Other values (241) 1360
59.4%
Common
ValueCountFrequency (%)
77
76.2%
1 6
 
5.9%
2 5
 
5.0%
) 4
 
4.0%
( 4
 
4.0%
9 2
 
2.0%
7 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2291
95.8%
ASCII 101
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
185
 
8.1%
122
 
5.3%
113
 
4.9%
93
 
4.1%
79
 
3.4%
69
 
3.0%
69
 
3.0%
69
 
3.0%
68
 
3.0%
64
 
2.8%
Other values (241) 1360
59.4%
ASCII
ValueCountFrequency (%)
77
76.2%
1 6
 
5.9%
2 5
 
5.0%
) 4
 
4.0%
( 4
 
4.0%
9 2
 
2.0%
7 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
Distinct180
Distinct (%)100.0%
Missing56
Missing (%)23.7%
Memory size2.0 KiB
2024-05-10T21:40:18.129780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length19.433333
Min length14

Characters and Unicode

Total characters3498
Distinct characters179
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

Unique180 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 상록구 충장로 294
2nd row경기도 안산시 상록구 감골공원길 5
3rd row경기도 안산시 상록구 후곡로 34
4th row경기도 안산시 상록구 항호길 77
5th row경기도 안산시 상록구 천문3길 4
ValueCountFrequency (%)
경기도 180
 
21.0%
안산시 71
 
8.3%
상록구 42
 
4.9%
단원구 29
 
3.4%
성남시 22
 
2.6%
중원구 10
 
1.2%
수정구 9
 
1.1%
고양시 8
 
0.9%
안양시 7
 
0.8%
10 6
 
0.7%
Other values (350) 472
55.1%
2024-05-10T21:40:19.238631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
676
19.3%
186
 
5.3%
185
 
5.3%
185
 
5.3%
185
 
5.3%
156
 
4.5%
1 125
 
3.6%
123
 
3.5%
91
 
2.6%
86
 
2.5%
Other values (169) 1500
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2216
63.4%
Space Separator 676
 
19.3%
Decimal Number 584
 
16.7%
Dash Punctuation 22
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
 
8.4%
185
 
8.3%
185
 
8.3%
185
 
8.3%
156
 
7.0%
123
 
5.6%
91
 
4.1%
86
 
3.9%
80
 
3.6%
58
 
2.6%
Other values (157) 881
39.8%
Decimal Number
ValueCountFrequency (%)
1 125
21.4%
2 77
13.2%
3 61
10.4%
4 55
9.4%
6 54
9.2%
5 53
9.1%
7 47
 
8.0%
0 38
 
6.5%
8 38
 
6.5%
9 36
 
6.2%
Space Separator
ValueCountFrequency (%)
676
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2216
63.4%
Common 1282
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
 
8.4%
185
 
8.3%
185
 
8.3%
185
 
8.3%
156
 
7.0%
123
 
5.6%
91
 
4.1%
86
 
3.9%
80
 
3.6%
58
 
2.6%
Other values (157) 881
39.8%
Common
ValueCountFrequency (%)
676
52.7%
1 125
 
9.8%
2 77
 
6.0%
3 61
 
4.8%
4 55
 
4.3%
6 54
 
4.2%
5 53
 
4.1%
7 47
 
3.7%
0 38
 
3.0%
8 38
 
3.0%
Other values (2) 58
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2216
63.4%
ASCII 1282
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
676
52.7%
1 125
 
9.8%
2 77
 
6.0%
3 61
 
4.8%
4 55
 
4.3%
6 54
 
4.2%
5 53
 
4.1%
7 47
 
3.7%
0 38
 
3.0%
8 38
 
3.0%
Other values (2) 58
 
4.5%
Hangul
ValueCountFrequency (%)
186
 
8.4%
185
 
8.3%
185
 
8.3%
185
 
8.3%
156
 
7.0%
123
 
5.6%
91
 
4.1%
86
 
3.9%
80
 
3.6%
58
 
2.6%
Other values (157) 881
39.8%

소재지지번주소
Text

MISSING 

Distinct219
Distinct (%)96.9%
Missing10
Missing (%)4.2%
Memory size2.0 KiB
2024-05-10T21:40:19.832635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length31.5
Mean length21.446903
Min length14

Characters and Unicode

Total characters4847
Distinct characters196
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)96.5%

Sample

1st row경기도 안산시 상록구 이동 589-1, 2층
2nd row경기도 안산시 상록구 부곡동 711, 2층
3rd row경기도 안산시 상록구 사동 1315-19
4th row경기도 안산시 상록구 사동 1286-6, 2층
5th row경기도 안산시 상록구 사동 1366-3, 1층
ValueCountFrequency (%)
경기도 226
 
20.0%
안산시 77
 
6.8%
상록구 46
 
4.1%
단원구 31
 
2.7%
성남시 27
 
2.4%
2층 17
 
1.5%
사동 14
 
1.2%
고양시 13
 
1.2%
선부동 11
 
1.0%
수정구 11
 
1.0%
Other values (427) 656
58.1%
2024-05-10T21:40:20.857419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903
18.6%
232
 
4.8%
230
 
4.7%
227
 
4.7%
226
 
4.7%
206
 
4.3%
1 200
 
4.1%
154
 
3.2%
- 131
 
2.7%
2 126
 
2.6%
Other values (186) 2212
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2803
57.8%
Decimal Number 958
 
19.8%
Space Separator 903
 
18.6%
Dash Punctuation 131
 
2.7%
Other Punctuation 42
 
0.9%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
8.3%
230
 
8.2%
227
 
8.1%
226
 
8.1%
206
 
7.3%
154
 
5.5%
107
 
3.8%
104
 
3.7%
73
 
2.6%
53
 
1.9%
Other values (170) 1191
42.5%
Decimal Number
ValueCountFrequency (%)
1 200
20.9%
2 126
13.2%
3 97
10.1%
5 89
9.3%
6 81
8.5%
4 80
 
8.4%
8 77
 
8.0%
0 74
 
7.7%
7 72
 
7.5%
9 62
 
6.5%
Space Separator
ValueCountFrequency (%)
903
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2803
57.8%
Common 2044
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
8.3%
230
 
8.2%
227
 
8.1%
226
 
8.1%
206
 
7.3%
154
 
5.5%
107
 
3.8%
104
 
3.7%
73
 
2.6%
53
 
1.9%
Other values (170) 1191
42.5%
Common
ValueCountFrequency (%)
903
44.2%
1 200
 
9.8%
- 131
 
6.4%
2 126
 
6.2%
3 97
 
4.7%
5 89
 
4.4%
6 81
 
4.0%
4 80
 
3.9%
8 77
 
3.8%
0 74
 
3.6%
Other values (6) 186
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2803
57.8%
ASCII 2044
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903
44.2%
1 200
 
9.8%
- 131
 
6.4%
2 126
 
6.2%
3 97
 
4.7%
5 89
 
4.4%
6 81
 
4.0%
4 80
 
3.9%
8 77
 
3.8%
0 74
 
3.6%
Other values (6) 186
 
9.1%
Hangul
ValueCountFrequency (%)
232
 
8.3%
230
 
8.2%
227
 
8.1%
226
 
8.1%
206
 
7.3%
154
 
5.5%
107
 
3.8%
104
 
3.7%
73
 
2.6%
53
 
1.9%
Other values (170) 1191
42.5%
Distinct233
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-10T21:40:21.391938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length8.8474576
Min length2

Characters and Unicode

Total characters2088
Distinct characters265
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)97.9%

Sample

1st row보라매지역아동센터
2nd row부곡지역아동센터
3rd row브니엘영광지역아동센터
4th row사랑나눔지역아동센터
5th row산성지역아동센터
ValueCountFrequency (%)
재대한구세군유지재단 3
 
1.1%
산학협력단 2
 
0.8%
해피월드복지재단 2
 
0.8%
경로식당 2
 
0.8%
사회복지법인 2
 
0.8%
사릉중앙교회 1
 
0.4%
봉선사 1
 
0.4%
양주시옥정종합사회복지관 1
 
0.4%
보라매지역아동센터 1
 
0.4%
경기교육자원봉사단체협의회 1
 
0.4%
Other values (245) 245
93.9%
2024-05-10T21:40:22.434860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
 
8.2%
129
 
6.2%
114
 
5.5%
89
 
4.3%
75
 
3.6%
72
 
3.4%
63
 
3.0%
62
 
3.0%
62
 
3.0%
52
 
2.5%
Other values (255) 1198
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2032
97.3%
Space Separator 25
 
1.2%
Decimal Number 18
 
0.9%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
172
 
8.5%
129
 
6.3%
114
 
5.6%
89
 
4.4%
75
 
3.7%
72
 
3.5%
63
 
3.1%
62
 
3.1%
62
 
3.1%
52
 
2.6%
Other values (243) 1142
56.2%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
1 6
33.3%
9 2
 
11.1%
5 1
 
5.6%
7 1
 
5.6%
3 1
 
5.6%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2033
97.4%
Common 55
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
172
 
8.5%
129
 
6.3%
114
 
5.6%
89
 
4.4%
75
 
3.7%
72
 
3.5%
63
 
3.1%
62
 
3.0%
62
 
3.0%
52
 
2.6%
Other values (244) 1143
56.2%
Common
ValueCountFrequency (%)
25
45.5%
2 6
 
10.9%
1 6
 
10.9%
( 5
 
9.1%
) 5
 
9.1%
, 2
 
3.6%
9 2
 
3.6%
5 1
 
1.8%
7 1
 
1.8%
3 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2032
97.3%
ASCII 55
 
2.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
172
 
8.5%
129
 
6.3%
114
 
5.6%
89
 
4.4%
75
 
3.7%
72
 
3.5%
63
 
3.1%
62
 
3.1%
62
 
3.1%
52
 
2.6%
Other values (243) 1142
56.2%
ASCII
ValueCountFrequency (%)
25
45.5%
2 6
 
10.9%
1 6
 
10.9%
( 5
 
9.1%
) 5
 
9.1%
, 2
 
3.6%
9 2
 
3.6%
5 1
 
1.8%
7 1
 
1.8%
3 1
 
1.8%
None
ValueCountFrequency (%)
1
100.0%

전화번호
Text

MISSING 

Distinct226
Distinct (%)97.8%
Missing5
Missing (%)2.1%
Memory size2.0 KiB
2024-05-10T21:40:22.971836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length9

Characters and Unicode

Total characters2779
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

Unique224 ?
Unique (%)97.0%

Sample

1st row031-406-7767
2nd row031-417-3677
3rd row031-409-1319
4th row031-438-1255
5th row031-418-7818
ValueCountFrequency (%)
031-207-6683 5
 
2.2%
031-417-3677 2
 
0.9%
031-487-0365 1
 
0.4%
031-399-2270 1
 
0.4%
031-555-8715 1
 
0.4%
031-551-2900 1
 
0.4%
031-484-3203 1
 
0.4%
070-4439-1700 1
 
0.4%
031-378-8111 1
 
0.4%
031-415-1097 1
 
0.4%
Other values (216) 216
93.5%
2024-05-10T21:40:23.879412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 461
16.6%
0 447
16.1%
1 378
13.6%
3 374
13.5%
4 193
6.9%
7 172
 
6.2%
5 160
 
5.8%
2 159
 
5.7%
8 158
 
5.7%
9 143
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2318
83.4%
Dash Punctuation 461
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 447
19.3%
1 378
16.3%
3 374
16.1%
4 193
8.3%
7 172
 
7.4%
5 160
 
6.9%
2 159
 
6.9%
8 158
 
6.8%
9 143
 
6.2%
6 134
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 461
16.6%
0 447
16.1%
1 378
13.6%
3 374
13.5%
4 193
6.9%
7 172
 
6.2%
5 160
 
5.8%
2 159
 
5.7%
8 158
 
5.7%
9 143
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 461
16.6%
0 447
16.1%
1 378
13.6%
3 374
13.5%
4 193
6.9%
7 172
 
6.2%
5 160
 
5.8%
2 159
 
5.7%
8 158
 
5.7%
9 143
 
5.1%
Distinct228
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-10T21:40:24.308817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.012712
Min length3

Characters and Unicode

Total characters2363
Distinct characters265
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

Unique226 ?
Unique (%)95.8%

Sample

1st row보라매지역아동센터
2nd row부곡지역아동센터
3rd row브니엘영광지역아동센터
4th row사랑나눔지역아동센터
5th row산성지역아동센터
ValueCountFrequency (%)
경로식당 30
 
9.1%
지역아동센터 22
 
6.7%
수원역 8
 
2.4%
3
 
0.9%
의정부역 3
 
0.9%
식당 3
 
0.9%
성생녹촌2리마을회 1
 
0.3%
분당노인종합복지관 1
 
0.3%
청솔마을경로식당 1
 
0.3%
한솔마을경로식당 1
 
0.3%
Other values (256) 256
77.8%
2024-05-10T21:40:25.113099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
8.0%
122
 
5.2%
115
 
4.9%
96
 
4.1%
93
 
3.9%
75
 
3.2%
74
 
3.1%
69
 
2.9%
68
 
2.9%
67
 
2.8%
Other values (255) 1395
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2223
94.1%
Space Separator 93
 
3.9%
Decimal Number 35
 
1.5%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
8.5%
122
 
5.5%
115
 
5.2%
96
 
4.3%
75
 
3.4%
74
 
3.3%
69
 
3.1%
68
 
3.1%
67
 
3.0%
64
 
2.9%
Other values (239) 1284
57.8%
Decimal Number
ValueCountFrequency (%)
1 10
28.6%
2 7
20.0%
3 6
17.1%
4 3
 
8.6%
5 3
 
8.6%
6 2
 
5.7%
9 2
 
5.7%
7 1
 
2.9%
0 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2223
94.1%
Common 138
 
5.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
8.5%
122
 
5.5%
115
 
5.2%
96
 
4.3%
75
 
3.4%
74
 
3.3%
69
 
3.1%
68
 
3.1%
67
 
3.0%
64
 
2.9%
Other values (239) 1284
57.8%
Common
ValueCountFrequency (%)
93
67.4%
1 10
 
7.2%
2 7
 
5.1%
3 6
 
4.3%
( 4
 
2.9%
) 4
 
2.9%
4 3
 
2.2%
5 3
 
2.2%
6 2
 
1.4%
9 2
 
1.4%
Other values (4) 4
 
2.9%
Latin
ValueCountFrequency (%)
J 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2223
94.1%
ASCII 140
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
189
 
8.5%
122
 
5.5%
115
 
5.2%
96
 
4.3%
75
 
3.4%
74
 
3.3%
69
 
3.1%
68
 
3.1%
67
 
3.0%
64
 
2.9%
Other values (239) 1284
57.8%
ASCII
ValueCountFrequency (%)
93
66.4%
1 10
 
7.1%
2 7
 
5.0%
3 6
 
4.3%
( 4
 
2.9%
) 4
 
2.9%
4 3
 
2.1%
5 3
 
2.1%
6 2
 
1.4%
9 2
 
1.4%
Other values (6) 6
 
4.3%

급식대상
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
결식아동
65 
저소득노인 및 결식노인
27 
60세이상 수급자+저소득노인
13 
가정형편 등 부득이한 사유로 식사를 거르는 60세 이상 노인
 
11
만60세 이상 기초생활보장수급자 및 차상위계층
 
10
Other values (30)
110 

Length

Max length39
Median length31
Mean length12.432203
Min length3

Unique

Unique8 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
결식아동 65
27.5%
저소득노인 및 결식노인 27
11.4%
60세이상 수급자+저소득노인 13
 
5.5%
가정형편 등 부득이한 사유로 식사를 거르는 60세 이상 노인 11
 
4.7%
만60세 이상 기초생활보장수급자 및 차상위계층 10
 
4.2%
60세 이상 노인 10
 
4.2%
노숙인 9
 
3.8%
결식우려 노인 9
 
3.8%
저소득노인(기초생활수급자 및 차상위) 8
 
3.4%
저소득 취약계층 어르신 7
 
3.0%
Other values (25) 67
28.4%

Length

2024-05-10T21:40:25.526753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
결식아동 65
 
10.0%
이상 55
 
8.4%
노인 53
 
8.1%
52
 
8.0%
60세 38
 
5.8%
저소득노인 33
 
5.1%
결식노인 30
 
4.6%
저소득 20
 
3.1%
차상위 20
 
3.1%
60세이상 19
 
2.9%
Other values (44) 267
41.0%

급식시간
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
중식(12:00-13:00)+석식(17:00-18:00)
65 
중식(11:30~13:00)
24 
중식(11:30-12:30)
21 
중식(11:30~12:30)
19 
중식(11:30-13:00)
15 
Other values (39)
92 

Length

Max length31
Median length15
Mean length19
Min length5

Unique

Unique23 ?
Unique (%)9.7%

Sample

1st row중식(12:00-13:00)+석식(17:00-18:00)
2nd row중식(12:00-13:00)+석식(17:00-18:00)
3rd row중식(12:00-13:00)+석식(17:00-18:00)
4th row중식(12:00-13:00)+석식(17:00-18:00)
5th row중식(12:00-13:00)+석식(17:00-18:00)

Common Values

ValueCountFrequency (%)
중식(12:00-13:00)+석식(17:00-18:00) 65
27.5%
중식(11:30~13:00) 24
 
10.2%
중식(11:30-12:30) 21
 
8.9%
중식(11:30~12:30) 19
 
8.1%
중식(11:30-13:00) 15
 
6.4%
중식(12:00-13:00) 14
 
5.9%
중식(12:00~13:00) 8
 
3.4%
11:00 - 13:00 7
 
3.0%
중식(11:40~14:00) 6
 
2.5%
중식(11:00-13:00) 6
 
2.5%
Other values (34) 51
21.6%

Length

2024-05-10T21:40:25.863019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중식(12:00-13:00)+석식(17:00-18:00 65
25.6%
중식(11:30~13:00 24
 
9.4%
중식(11:30-12:30 21
 
8.3%
중식(11:30~12:30 19
 
7.5%
중식(11:30-13:00 15
 
5.9%
중식(12:00-13:00 14
 
5.5%
중식(12:00~13:00 8
 
3.1%
8
 
3.1%
13:00 8
 
3.1%
11:00 7
 
2.8%
Other values (36) 65
25.6%

급식요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
월+화+수+목+금
119 
월+화+수+목+금+토
87 
월+화+수+목+금요일
 
10
매일
 
2
 
2
Other values (14)
16 

Length

Max length22
Median length9
Mean length9.3855932
Min length1

Unique

Unique12 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
월+화+수+목+금 119
50.4%
월+화+수+목+금+토 87
36.9%
월+화+수+목+금요일 10
 
4.2%
매일 2
 
0.8%
2
 
0.8%
화+수+목+금+토 2
 
0.8%
2
 
0.8%
월+화+수+목+금+토 (토요일 자체운영) 1
 
0.4%
월+화 1
 
0.4%
화+수+토 1
 
0.4%
Other values (9) 9
 
3.8%

Length

2024-05-10T21:40:26.256324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월+화+수+목+금 119
49.8%
월+화+수+목+금+토 88
36.8%
월+화+수+목+금요일 10
 
4.2%
매일 2
 
0.8%
2
 
0.8%
화+수+목+금+토 2
 
0.8%
2
 
0.8%
2
 
0.8%
월+목 1
 
0.4%
1
 
0.4%
Other values (10) 10
 
4.2%

운영시작일자
Date

MISSING 

Distinct111
Distinct (%)79.3%
Missing96
Missing (%)40.7%
Memory size2.0 KiB
Minimum1996-04-30 00:00:00
Maximum2023-04-24 00:00:00
2024-05-10T21:40:26.569238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:40:27.005008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영종료일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
214 
2023-12-31
 
13
2019-12-31
 
6
2024-12-31
 
3

Length

Max length10
Median length4
Mean length4.559322
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 214
90.7%
2023-12-31 13
 
5.5%
2019-12-31 6
 
2.5%
2024-12-31 3
 
1.3%

Length

2024-05-10T21:40:27.504963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:40:27.847121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 214
90.7%
2023-12-31 13
 
5.5%
2019-12-31 6
 
2.5%
2024-12-31 3
 
1.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct228
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97594
Minimum126.60688
Maximum127.64064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-10T21:40:28.327595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60688
5-th percentile126.7658
Q1126.82869
median126.89145
Q3127.11185
95-th percentile127.42776
Maximum127.64064
Range1.0337524
Interquartile range (IQR)0.28316298

Descriptive statistics

Standard deviation0.20017191
Coefficient of variation (CV)0.0015764553
Kurtosis1.7479856
Mean126.97594
Median Absolute Deviation (MAD)0.099552036
Skewness1.3219525
Sum29966.323
Variance0.040068792
MonotonicityNot monotonic
2024-05-10T21:40:29.099175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0000947 8
 
3.4%
126.8590425 2
 
0.8%
126.9351872 1
 
0.4%
126.7947349 1
 
0.4%
127.1195146 1
 
0.4%
126.8680141 1
 
0.4%
126.7226134 1
 
0.4%
127.1155093 1
 
0.4%
127.1099997 1
 
0.4%
127.1125099 1
 
0.4%
Other values (218) 218
92.4%
ValueCountFrequency (%)
126.6068832 1
0.4%
126.7226134 1
0.4%
126.7320235 1
0.4%
126.7375187 1
0.4%
126.7407962 1
0.4%
126.7481577745 1
0.4%
126.7551635503 1
0.4%
126.7601759971 1
0.4%
126.7604421782 1
0.4%
126.7626308 1
0.4%
ValueCountFrequency (%)
127.6406356 1
0.4%
127.6402345 1
0.4%
127.6387002 1
0.4%
127.6322747 1
0.4%
127.6295069 1
0.4%
127.5530748 1
0.4%
127.545375591 1
0.4%
127.5361038 1
0.4%
127.511202 1
0.4%
127.5037771 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct228
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.404813
Minimum36.957647
Maximum37.907422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-10T21:40:29.840295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957647
5-th percentile37.167339
Q137.302713
median37.345568
Q337.473435
95-th percentile37.741475
Maximum37.907422
Range0.9497747
Interquartile range (IQR)0.17072151

Descriptive statistics

Standard deviation0.17813504
Coefficient of variation (CV)0.0047623562
Kurtosis0.60839832
Mean37.404813
Median Absolute Deviation (MAD)0.07988964
Skewness0.66682301
Sum8827.5358
Variance0.031732093
MonotonicityNot monotonic
2024-05-10T21:40:30.527016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26567858 8
 
3.4%
37.33020618 2
 
0.8%
37.37386811 1
 
0.4%
37.33556922 1
 
0.4%
37.20507373 1
 
0.4%
37.29161986 1
 
0.4%
37.6222877 1
 
0.4%
37.36738858 1
 
0.4%
37.35462448 1
 
0.4%
37.35760271 1
 
0.4%
Other values (218) 218
92.4%
ValueCountFrequency (%)
36.95764707 1
0.4%
36.9895026942 1
0.4%
36.9980605 1
0.4%
36.9988409 1
0.4%
37.0043438 1
0.4%
37.06571536 1
0.4%
37.0965007192 1
0.4%
37.1156648 1
0.4%
37.12565616 1
0.4%
37.12821527 1
0.4%
ValueCountFrequency (%)
37.90742177 1
0.4%
37.90515451 1
0.4%
37.904846 1
0.4%
37.85675241 1
0.4%
37.8381418084 1
0.4%
37.833628 1
0.4%
37.830947483 1
0.4%
37.8294432438 1
0.4%
37.82349671 1
0.4%
37.8014606785 1
0.4%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2022-12-12
77 
2023-09-01
27 
2023-07-11
13 
2023-11-15
11 
2024-01-11
10 
Other values (24)
98 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row2022-12-12
2nd row2022-12-12
3rd row2022-12-12
4th row2022-12-12
5th row2022-12-12

Common Values

ValueCountFrequency (%)
2022-12-12 77
32.6%
2023-09-01 27
 
11.4%
2023-07-11 13
 
5.5%
2023-11-15 11
 
4.7%
2024-01-11 10
 
4.2%
2023-06-01 10
 
4.2%
2023-06-28 9
 
3.8%
2023-04-17 9
 
3.8%
2023-05-22 8
 
3.4%
2024-01-03 8
 
3.4%
Other values (19) 54
22.9%

Length

2024-05-10T21:40:31.391418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-12 77
32.6%
2023-09-01 27
 
11.4%
2023-07-11 13
 
5.5%
2023-11-15 11
 
4.7%
2024-01-11 10
 
4.2%
2023-06-01 10
 
4.2%
2023-06-28 9
 
3.8%
2023-04-17 9
 
3.8%
2023-05-22 8
 
3.4%
2024-01-03 8
 
3.4%
Other values (19) 54
22.9%

Interactions

2024-05-10T21:40:14.470731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:40:13.976609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:40:14.703562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:40:14.232700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T21:40:31.678814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식대상급식시간급식요일운영종료일자위도경도데이터기준일자
급식대상1.0000.9760.8321.0000.9510.9611.000
급식시간0.9761.0000.9580.7740.8900.8950.978
급식요일0.8320.9581.0000.0000.4450.6870.837
운영종료일자1.0000.7740.0001.0000.6560.9241.000
위도0.9510.8900.4450.6561.0000.7460.940
경도0.9610.8950.6870.9240.7461.0000.958
데이터기준일자1.0000.9780.8371.0000.9400.9581.000
2024-05-10T21:40:32.000655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식시간급식요일운영종료일자급식대상데이터기준일자
급식시간1.0000.6030.6290.6080.644
급식요일0.6031.0000.0000.3600.380
운영종료일자0.6290.0001.0000.9180.946
급식대상0.6080.3600.9181.0000.980
데이터기준일자0.6440.3800.9460.9801.000
2024-05-10T21:40:32.306302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도급식대상급식시간급식요일운영종료일자데이터기준일자
위도1.0000.0250.6810.5200.1790.6610.673
경도0.0251.0000.7160.5300.3300.7900.733
급식대상0.6810.7161.0000.6080.3600.9180.980
급식시간0.5200.5300.6081.0000.6030.6290.644
급식요일0.1790.3300.3600.6031.0000.0000.380
운영종료일자0.6610.7900.9180.6290.0001.0000.946
데이터기준일자0.6730.7330.9800.6440.3800.9461.000

Missing values

2024-05-10T21:40:15.076917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:40:15.728865image/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.
2024-05-10T21:40:16.147170image/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

시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식요일운영시작일자운영종료일자위도경도데이터기준일자
0보라매지역아동센터경기도 안산시 상록구 충장로 294경기도 안산시 상록구 이동 589-1, 2층보라매지역아동센터031-406-7767보라매지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.85710637.3072012022-12-12
1부곡지역아동센터<NA>경기도 안산시 상록구 부곡동 711, 2층부곡지역아동센터031-417-3677부곡지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.85904337.3302062022-12-12
2브니엘영광지역아동센터경기도 안산시 상록구 감골공원길 5경기도 안산시 상록구 사동 1315-19브니엘영광지역아동센터031-409-1319브니엘영광지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.85207537.293342022-12-12
3사랑나눔지역아동센터경기도 안산시 상록구 후곡로 34경기도 안산시 상록구 사동 1286-6, 2층사랑나눔지역아동센터031-438-1255사랑나눔지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.8473237.2967312022-12-12
4산성지역아동센터경기도 안산시 상록구 항호길 77경기도 안산시 상록구 사동 1366-3, 1층산성지역아동센터031-418-7818산성지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.84443937.2887482022-12-12
5새희망지역아동센터경기도 안산시 상록구 천문3길 4경기도 안산시 상록구 사동 1528-1, 1층새희망지역아동센터031-502-3927새희망지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.84431637.3057012022-12-12
6생수지역아동센터경기도 안산시 상록구 호동로 66경기도 안산시 상록구 일동 575-1, 3층생수지역아동센터031-409-3774생수지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.86440637.3157062022-12-12
7서부지역아동센터경기도 안산시 상록구 충장로3길 33경기도 안산시 상록구 본오동 882-13, 1층서부지역아동센터031-409-1011서부지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토<NA><NA>126.8624437.2929292022-12-12
8조은 지역아동센터경기도 안산시 단원구 달미로 77경기도 안산시 단원구 선부동 1142-9, 2층조은031-505-0733조은 지역아동센터결식아동중식(12:00-13:00)+석식(17:00-18:00)월+화+수+목+금+토2008-03-13<NA>126.81490737.3427062022-12-12
9원곡경로식당경기도 안산시 단원구 다문화길 16경기도 안산시 단원구 원곡동 795안산제일감리교회031-495-6472원곡경로식당가정형편 등 부득이한 사유로 식사를 거르는 60세 이상 노인중식(11:30-13:00)월+화+수+목+금1996-11-21<NA>126.79060437.3294082022-12-12
시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식요일운영시작일자운영종료일자위도경도데이터기준일자
226딸기원경로식당경기도 구리시 딸기원중문길 29경기도 구리시 교문동 327-168딸기원마을운영위원회031-554-8640딸기원경로식당저소득노인12:00월+화+수+목+금2019-01-012023-12-31127.12031737.6031662023-05-18
227노인복지관경기도 동두천시 동두천로 264경기도 동두천시 생연동 643-3노인복지관031-857-9918노인복지관 식당회원가입(만65세이상,국민기초,장애인,유공자)중식 11:30-13:00월+화+수+목+금<NA><NA>127.05621237.9051552023-08-29
228남양주시노인복지관(분관)경기도 남양주시 진접읍 해밀예당1로236번길 23경기도 남양주시 진접읍 금곡리 1118남양주시노인복지관(분관)031-573-0570남양주시노인복지관(분관)저소득 취약계층 어르신11:00 - 13:00월+화+수+목+금<NA><NA>127.20506637.7189562023-05-22
229사릉중앙교회경기도 남양주시 진건읍 사릉로442번길 7경기도 남양주시 진건읍 용정리 771-20사릉중앙교회031-573-4004사릉중앙교회저소득 취약계층 어르신11:00 - 13:00화+수+목+금+토<NA><NA>127.17671637.658252023-05-22
230작은자리종합사회복지관경기도 시흥시 시흥대로 1087경기도 시흥시 신천동 882-2작은자리종합사회복지관031-313-6249작은자리종합사회복지관저소득노인(기초생활수급자 및 차상위)중식(11:00-12:00)월+화+수+목+금1998-02-01<NA>126.79278637.4329372024-01-03
231경기교육자원봉사단체협의회<NA>경기도 수원시 팔달구 매산로1가 18경기교육자원봉사단체협의회<NA>수원역노숙인중식(11:30~12:00)2021-01-15<NA>127.00009537.2656792023-04-17
232양주시회천노인복지관 경로식당경기도 양주시 화합로1426번길 90경기도 양주시 덕정동 206양주시회천노인복지관031-859-9081양주시회천노인복지관 내 행복식당60세 이상 기초생활수급 및 차상위 노인중식(11:00-13:00)월+화+수+목+금2023-01-012023-12-31127.06803637.8381422023-05-07
233거모종합사회복지관경기도 시흥시 군자로466번길 37경기도 시흥시 거모동 1738-9거모종합사회복지관031-493-6347거모종합사회복지관저소득노인(기초생활수급자 및 차상위)중식(11:00-12:00)월+화+수+목+금1999-03-01<NA>126.78132537.3448612024-01-03
234행복한 영광교회경기도 의정부시 경의로157번길 9경기도 의정부시 의정부동 365-46행복한영광교회<NA>교회 식당 내부노숙인+결식노인+저소득층중식(11:00-13:00)<NA><NA>127.05319637.7338182023-03-02
235황송노인종합복지관 경로식당경기도 성남시 중원구 금상로 132경기도 성남시 중원구 상대원동 279-7황송노인종합복지관031-731-5521황송노인종합복지관 경로식당저소득노인 및 결식노인중식(11:30~12:30)월+화+수+목+금+토<NA><NA>127.16914137.4416622023-09-01