Overview

Dataset statistics

Number of variables16
Number of observations1366
Missing cells857
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.5 KiB
Average record size in memory130.1 B

Variable types

Text11
DateTime2
Categorical1
Numeric2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15013107/standard.do

Alerts

운영종료일자 is highly imbalanced (58.3%)Imbalance
소재지지번주소 has 142 (10.4%) missing valuesMissing
전화번호 has 75 (5.5%) missing valuesMissing
운영시작일자 has 384 (28.1%) missing valuesMissing
위도 has 126 (9.2%) missing valuesMissing
경도 has 126 (9.2%) missing valuesMissing

Reproduction

Analysis started2024-05-11 10:15:52.116929
Analysis finished2024-05-11 10:15:58.272229
Duration6.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct1161
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:15:58.598759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.9934114
Min length3

Characters and Unicode

Total characters12285
Distinct characters405
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

Unique976 ?
Unique (%)71.4%

Sample

1st row관운사가야복지센터
2nd row이웃과하나노인복지센터
3rd row대전광역시노인복지관
4th row문창효심정
5th row성락종합사회복지관
ValueCountFrequency (%)
경로식당 86
 
5.2%
무료급식소 27
 
1.6%
지역아동센터 24
 
1.4%
대한노인회 16
 
1.0%
복지회관 15
 
0.9%
무료경로식당 15
 
0.9%
집 13
 
0.8%
사랑의 5
 
0.3%
사단법인 4
 
0.2%
춘천종합사회복지관 4
 
0.2%
Other values (1210) 1450
87.4%
2024-05-11T10:15:59.682597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 879
 
7.2%
복 768
 
6.3%
관 711
 
5.8%
회 575
 
4.7%
사 471
 
3.8%
종 409
 
3.3%
합 409
 
3.3%
인 369
 
3.0%
노 334
 
2.7%
식 296
 
2.4%
Other values (395) 7064
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11797
96.0%
Space Separator 294
 
2.4%
Close Punctuation 66
 
0.5%
Open Punctuation 61
 
0.5%
Decimal Number 47
 
0.4%
Uppercase Letter 18
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 879
 
7.5%
복 768
 
6.5%
관 711
 
6.0%
회 575
 
4.9%
사 471
 
4.0%
종 409
 
3.5%
합 409
 
3.5%
인 369
 
3.1%
노 334
 
2.8%
식 296
 
2.5%
Other values (375) 6576
55.7%
Decimal Number
ValueCountFrequency (%)
1 15
31.9%
2 12
25.5%
3 5
 
10.6%
4 4
 
8.5%
9 3
 
6.4%
5 3
 
6.4%
7 3
 
6.4%
6 2
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
22.2%
C 4
22.2%
Y 4
22.2%
W 3
16.7%
H 1
 
5.6%
L 1
 
5.6%
M 1
 
5.6%
Space Separator
ValueCountFrequency (%)
294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11797
96.0%
Common 469
 
3.8%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 879
 
7.5%
복 768
 
6.5%
관 711
 
6.0%
회 575
 
4.9%
사 471
 
4.0%
종 409
 
3.5%
합 409
 
3.5%
인 369
 
3.1%
노 334
 
2.8%
식 296
 
2.5%
Other values (375) 6576
55.7%
Common
ValueCountFrequency (%)
294
62.7%
) 66
 
14.1%
( 61
 
13.0%
1 15
 
3.2%
2 12
 
2.6%
3 5
 
1.1%
4 4
 
0.9%
9 3
 
0.6%
5 3
 
0.6%
7 3
 
0.6%
Other values (2) 3
 
0.6%
Latin
ValueCountFrequency (%)
A 4
21.1%
C 4
21.1%
Y 4
21.1%
W 3
15.8%
H 1
 
5.3%
L 1
 
5.3%
e 1
 
5.3%
M 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11797
96.0%
ASCII 488
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 879
 
7.5%
복 768
 
6.5%
관 711
 
6.0%
회 575
 
4.9%
사 471
 
4.0%
종 409
 
3.5%
합 409
 
3.5%
인 369
 
3.1%
노 334
 
2.8%
식 296
 
2.5%
Other values (375) 6576
55.7%
ASCII
ValueCountFrequency (%)
294
60.2%
) 66
 
13.5%
( 61
 
12.5%
1 15
 
3.1%
2 12
 
2.5%
3 5
 
1.0%
4 4
 
0.8%
A 4
 
0.8%
C 4
 
0.8%
Y 4
 
0.8%
Other values (10) 19
 
3.9%

소재지도로명주소
Text

Distinct1284
Distinct (%)94.3%
Missing4
Missing (%)0.3%
Memory size10.8 KiB
2024-05-11T10:16:00.492535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length21.281938
Min length13

Characters and Unicode

Total characters28986
Distinct characters373
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

Unique1217 ?
Unique (%)89.4%

Sample

1st row경상북도 성주군 성주읍 경산길 33-1
2nd row경상북도 성주군 성주읍 예산3길 8-4
3rd row대전광역시 중구 테미로 26 (대흥동)
4th row대전광역시 중구 보문로20번길 33 (문창동)
5th row대전광역시 중구 선화로43번길 13 (용두동)
ValueCountFrequency (%)
경기도 236
 
3.8%
전라남도 174
 
2.8%
서울특별시 160
 
2.6%
경상남도 89
 
1.4%
안산시 77
 
1.2%
강원도 75
 
1.2%
부산광역시 73
 
1.2%
대구광역시 72
 
1.1%
인천광역시 58
 
0.9%
광주광역시 57
 
0.9%
Other values (2451) 5201
82.9%
2024-05-11T10:16:02.006095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4910
 
16.9%
시 1118
 
3.9%
로 1061
 
3.7%
1 987
 
3.4%
도 920
 
3.2%
구 831
 
2.9%
길 722
 
2.5%
2 697
 
2.4%
동 615
 
2.1%
3 501
 
1.7%
Other values (363) 16624
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18358
63.3%
Space Separator 4910
 
16.9%
Decimal Number 4599
 
15.9%
Close Punctuation 383
 
1.3%
Open Punctuation 383
 
1.3%
Dash Punctuation 291
 
1.0%
Other Punctuation 55
 
0.2%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1118
 
6.1%
로 1061
 
5.8%
도 920
 
5.0%
구 831
 
4.5%
길 722
 
3.9%
동 615
 
3.4%
남 499
 
2.7%
산 460
 
2.5%
광 444
 
2.4%
경 414
 
2.3%
Other values (342) 11274
61.4%
Decimal Number
ValueCountFrequency (%)
1 987
21.5%
2 697
15.2%
3 501
10.9%
5 435
9.5%
4 419
9.1%
7 345
 
7.5%
6 344
 
7.5%
0 336
 
7.3%
9 276
 
6.0%
8 259
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
H 1
14.3%
L 1
14.3%
C 1
14.3%
W 1
14.3%
Y 1
14.3%
Space Separator
ValueCountFrequency (%)
4910
100.0%
Close Punctuation
ValueCountFrequency (%)
) 383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 291
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18358
63.3%
Common 10621
36.6%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1118
 
6.1%
로 1061
 
5.8%
도 920
 
5.0%
구 831
 
4.5%
길 722
 
3.9%
동 615
 
3.4%
남 499
 
2.7%
산 460
 
2.5%
광 444
 
2.4%
경 414
 
2.3%
Other values (342) 11274
61.4%
Common
ValueCountFrequency (%)
4910
46.2%
1 987
 
9.3%
2 697
 
6.6%
3 501
 
4.7%
5 435
 
4.1%
4 419
 
3.9%
) 383
 
3.6%
( 383
 
3.6%
7 345
 
3.2%
6 344
 
3.2%
Other values (5) 1217
 
11.5%
Latin
ValueCountFrequency (%)
A 2
28.6%
H 1
14.3%
L 1
14.3%
C 1
14.3%
W 1
14.3%
Y 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18358
63.3%
ASCII 10628
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4910
46.2%
1 987
 
9.3%
2 697
 
6.6%
3 501
 
4.7%
5 435
 
4.1%
4 419
 
3.9%
) 383
 
3.6%
( 383
 
3.6%
7 345
 
3.2%
6 344
 
3.2%
Other values (11) 1224
 
11.5%
Hangul
ValueCountFrequency (%)
시 1118
 
6.1%
로 1061
 
5.8%
도 920
 
5.0%
구 831
 
4.5%
길 722
 
3.9%
동 615
 
3.4%
남 499
 
2.7%
산 460
 
2.5%
광 444
 
2.4%
경 414
 
2.3%
Other values (342) 11274
61.4%

소재지지번주소
Text

MISSING 

Distinct1114
Distinct (%)91.0%
Missing142
Missing (%)10.4%
Memory size10.8 KiB
2024-05-11T10:16:03.097515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length19.952614
Min length11

Characters and Unicode

Total characters24422
Distinct characters304
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

Unique1015 ?
Unique (%)82.9%

Sample

1st row경상북도 성주군 성주읍 경산리 577-4
2nd row경상북도 성주군 성주읍 예산리 466
3rd row대전광역시 중구 대흥동 311-1
4th row대전광역시 중구 문창동 119-21
5th row대전광역시 중구 용두동 53-31
ValueCountFrequency (%)
경기도 226
 
4.1%
서울특별시 145
 
2.7%
전라남도 138
 
2.5%
경상남도 89
 
1.6%
안산시 77
 
1.4%
강원도 75
 
1.4%
대구광역시 71
 
1.3%
부산광역시 67
 
1.2%
인천광역시 58
 
1.1%
담양군 54
 
1.0%
Other values (2159) 4466
81.7%
2024-05-11T10:16:04.702569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4242
 
17.4%
동 1037
 
4.2%
1 1029
 
4.2%
시 1000
 
4.1%
- 836
 
3.4%
도 792
 
3.2%
구 757
 
3.1%
2 647
 
2.6%
3 553
 
2.3%
5 445
 
1.8%
Other values (294) 13084
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14389
58.9%
Decimal Number 4900
 
20.1%
Space Separator 4242
 
17.4%
Dash Punctuation 836
 
3.4%
Other Punctuation 43
 
0.2%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1037
 
7.2%
시 1000
 
6.9%
도 792
 
5.5%
구 757
 
5.3%
남 414
 
2.9%
산 405
 
2.8%
광 400
 
2.8%
경 367
 
2.6%
리 339
 
2.4%
역 326
 
2.3%
Other values (278) 8552
59.4%
Decimal Number
ValueCountFrequency (%)
1 1029
21.0%
2 647
13.2%
3 553
11.3%
5 445
9.1%
4 430
8.8%
6 421
8.6%
8 368
 
7.5%
7 363
 
7.4%
0 343
 
7.0%
9 301
 
6.1%
Space Separator
ValueCountFrequency (%)
4242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 836
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14389
58.9%
Common 10033
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1037
 
7.2%
시 1000
 
6.9%
도 792
 
5.5%
구 757
 
5.3%
남 414
 
2.9%
산 405
 
2.8%
광 400
 
2.8%
경 367
 
2.6%
리 339
 
2.4%
역 326
 
2.3%
Other values (278) 8552
59.4%
Common
ValueCountFrequency (%)
4242
42.3%
1 1029
 
10.3%
- 836
 
8.3%
2 647
 
6.4%
3 553
 
5.5%
5 445
 
4.4%
4 430
 
4.3%
6 421
 
4.2%
8 368
 
3.7%
7 363
 
3.6%
Other values (6) 699
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14389
58.9%
ASCII 10033
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4242
42.3%
1 1029
 
10.3%
- 836
 
8.3%
2 647
 
6.4%
3 553
 
5.5%
5 445
 
4.4%
4 430
 
4.3%
6 421
 
4.2%
8 368
 
3.7%
7 363
 
3.6%
Other values (6) 699
 
7.0%
Hangul
ValueCountFrequency (%)
동 1037
 
7.2%
시 1000
 
6.9%
도 792
 
5.5%
구 757
 
5.3%
남 414
 
2.9%
산 405
 
2.8%
광 400
 
2.8%
경 367
 
2.6%
리 339
 
2.4%
역 326
 
2.3%
Other values (278) 8552
59.4%

운영기관명
Text

Distinct1118
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:05.299165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length8.852123
Min length2

Characters and Unicode

Total characters12092
Distinct characters413
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique926 ?
Unique (%)67.8%

Sample

1st row관운사가야복지센터
2nd row이웃과하나노인복지센터
3rd row대전광역시노인복지관
4th row대전가톨릭사회복지회
5th row성락종합사회복지관
ValueCountFrequency (%)
사회복지법인 33
 
2.1%
대한노인회 27
 
1.7%
노인회 14
 
0.9%
대한적십자사 12
 
0.7%
옹진군자원봉사센터 11
 
0.7%
강원특별자치도 10
 
0.6%
삼척시청 10
 
0.6%
삼척시 10
 
0.6%
집 8
 
0.5%
나주시니어클럽 8
 
0.5%
Other values (1189) 1463
91.1%
2024-05-11T10:16:06.454904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 849
 
7.0%
회 739
 
6.1%
복 725
 
6.0%
관 595
 
4.9%
사 591
 
4.9%
인 402
 
3.3%
종 372
 
3.1%
합 365
 
3.0%
노 306
 
2.5%
240
 
2.0%
Other values (403) 6908
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11641
96.3%
Space Separator 240
 
2.0%
Close Punctuation 61
 
0.5%
Open Punctuation 52
 
0.4%
Decimal Number 50
 
0.4%
Uppercase Letter 34
 
0.3%
Math Symbol 9
 
0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 849
 
7.3%
회 739
 
6.3%
복 725
 
6.2%
관 595
 
5.1%
사 591
 
5.1%
인 402
 
3.5%
종 372
 
3.2%
합 365
 
3.1%
노 306
 
2.6%
동 197
 
1.7%
Other values (380) 6500
55.8%
Decimal Number
ValueCountFrequency (%)
1 15
30.0%
2 12
24.0%
3 5
 
10.0%
7 4
 
8.0%
4 4
 
8.0%
9 4
 
8.0%
5 4
 
8.0%
6 2
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
23.5%
Y 8
23.5%
C 8
23.5%
W 7
20.6%
M 1
 
2.9%
H 1
 
2.9%
L 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11642
96.3%
Common 415
 
3.4%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 849
 
7.3%
회 739
 
6.3%
복 725
 
6.2%
관 595
 
5.1%
사 591
 
5.1%
인 402
 
3.5%
종 372
 
3.2%
합 365
 
3.1%
노 306
 
2.6%
동 197
 
1.7%
Other values (381) 6501
55.8%
Common
ValueCountFrequency (%)
240
57.8%
) 61
 
14.7%
( 52
 
12.5%
1 15
 
3.6%
2 12
 
2.9%
+ 9
 
2.2%
3 5
 
1.2%
7 4
 
1.0%
4 4
 
1.0%
9 4
 
1.0%
Other values (4) 9
 
2.2%
Latin
ValueCountFrequency (%)
A 8
22.9%
Y 8
22.9%
C 8
22.9%
W 7
20.0%
e 1
 
2.9%
M 1
 
2.9%
H 1
 
2.9%
L 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11641
96.3%
ASCII 450
 
3.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 849
 
7.3%
회 739
 
6.3%
복 725
 
6.2%
관 595
 
5.1%
사 591
 
5.1%
인 402
 
3.5%
종 372
 
3.2%
합 365
 
3.1%
노 306
 
2.6%
동 197
 
1.7%
Other values (380) 6500
55.8%
ASCII
ValueCountFrequency (%)
240
53.3%
) 61
 
13.6%
( 52
 
11.6%
1 15
 
3.3%
2 12
 
2.7%
+ 9
 
2.0%
A 8
 
1.8%
Y 8
 
1.8%
C 8
 
1.8%
W 7
 
1.6%
Other values (12) 30
 
6.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct1082
Distinct (%)83.8%
Missing75
Missing (%)5.5%
Memory size10.8 KiB
2024-05-11T10:16:07.125737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.936483
Min length9

Characters and Unicode

Total characters15410
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

Unique898 ?
Unique (%)69.6%

Sample

1st row054-931-3000
2nd row054-931-1611
3rd row042-242-3101
4th row042-635-5111
5th row042-254-6396
ValueCountFrequency (%)
032-899-2316 11
 
0.9%
061-334-7090 8
 
0.6%
031-207-6683 5
 
0.4%
02-565-3857 4
 
0.3%
000-0000-0000 4
 
0.3%
062-266-7727 4
 
0.3%
042-635-5111 3
 
0.2%
061-383-1144 2
 
0.2%
070-7750-6916 2
 
0.2%
063-538-3606 2
 
0.2%
Other values (1072) 1246
96.5%
2024-05-11T10:16:08.189710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2578
16.7%
0 2355
15.3%
3 1808
11.7%
2 1411
9.2%
1 1339
8.7%
5 1252
8.1%
6 1226
8.0%
4 1101
7.1%
7 857
 
5.6%
8 817
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12832
83.3%
Dash Punctuation 2578
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2355
18.4%
3 1808
14.1%
2 1411
11.0%
1 1339
10.4%
5 1252
9.8%
6 1226
9.6%
4 1101
8.6%
7 857
 
6.7%
8 817
 
6.4%
9 666
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 2578
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2578
16.7%
0 2355
15.3%
3 1808
11.7%
2 1411
9.2%
1 1339
8.7%
5 1252
8.1%
6 1226
8.0%
4 1101
7.1%
7 857
 
5.6%
8 817
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2578
16.7%
0 2355
15.3%
3 1808
11.7%
2 1411
9.2%
1 1339
8.7%
5 1252
8.1%
6 1226
8.0%
4 1101
7.1%
7 857
 
5.6%
8 817
 
5.3%

급식장소
Text

Distinct1105
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:08.742003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length9.2254758
Min length2

Characters and Unicode

Total characters12602
Distinct characters409
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique930 ?
Unique (%)68.1%

Sample

1st row관운사가야복지센터
2nd row이웃과하나노인복지센터
3rd row1층 행복식당
4th row1층 문창효심정
5th row1층 만나홀
ValueCountFrequency (%)
경로식당 98
 
5.0%
식당 65
 
3.3%
1층 34
 
1.7%
집 27
 
1.4%
내 24
 
1.2%
대구광역시 22
 
1.1%
지역아동센터 22
 
1.1%
복지관 18
 
0.9%
급식소 16
 
0.8%
복지회관 15
 
0.8%
Other values (1249) 1625
82.7%
2024-05-11T10:16:09.810466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 832
 
6.6%
복 729
 
5.8%
관 687
 
5.5%
600
 
4.8%
회 501
 
4.0%
사 404
 
3.2%
종 374
 
3.0%
합 374
 
3.0%
당 365
 
2.9%
식 340
 
2.7%
Other values (399) 7396
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11542
91.6%
Space Separator 600
 
4.8%
Decimal Number 270
 
2.1%
Close Punctuation 73
 
0.6%
Open Punctuation 69
 
0.5%
Uppercase Letter 16
 
0.1%
Other Punctuation 12
 
0.1%
Math Symbol 11
 
0.1%
Dash Punctuation 8
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 832
 
7.2%
복 729
 
6.3%
관 687
 
6.0%
회 501
 
4.3%
사 404
 
3.5%
종 374
 
3.2%
합 374
 
3.2%
당 365
 
3.2%
식 340
 
2.9%
로 319
 
2.8%
Other values (372) 6617
57.3%
Decimal Number
ValueCountFrequency (%)
1 98
36.3%
2 44
16.3%
3 24
 
8.9%
4 23
 
8.5%
5 20
 
7.4%
0 16
 
5.9%
9 13
 
4.8%
7 12
 
4.4%
8 10
 
3.7%
6 10
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
Y 3
18.8%
A 3
18.8%
W 2
12.5%
J 1
 
6.2%
L 1
 
6.2%
M 1
 
6.2%
H 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
+ 10
90.9%
~ 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
/ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11542
91.6%
Common 1043
 
8.3%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 832
 
7.2%
복 729
 
6.3%
관 687
 
6.0%
회 501
 
4.3%
사 404
 
3.5%
종 374
 
3.2%
합 374
 
3.2%
당 365
 
3.2%
식 340
 
2.9%
로 319
 
2.8%
Other values (372) 6617
57.3%
Common
ValueCountFrequency (%)
600
57.5%
1 98
 
9.4%
) 73
 
7.0%
( 69
 
6.6%
2 44
 
4.2%
3 24
 
2.3%
4 23
 
2.2%
5 20
 
1.9%
0 16
 
1.5%
9 13
 
1.2%
Other values (8) 63
 
6.0%
Latin
ValueCountFrequency (%)
C 4
23.5%
Y 3
17.6%
A 3
17.6%
W 2
11.8%
J 1
 
5.9%
L 1
 
5.9%
M 1
 
5.9%
e 1
 
5.9%
H 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11542
91.6%
ASCII 1060
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 832
 
7.2%
복 729
 
6.3%
관 687
 
6.0%
회 501
 
4.3%
사 404
 
3.5%
종 374
 
3.2%
합 374
 
3.2%
당 365
 
3.2%
식 340
 
2.9%
로 319
 
2.8%
Other values (372) 6617
57.3%
ASCII
ValueCountFrequency (%)
600
56.6%
1 98
 
9.2%
) 73
 
6.9%
( 69
 
6.5%
2 44
 
4.2%
3 24
 
2.3%
4 23
 
2.2%
5 20
 
1.9%
0 16
 
1.5%
9 13
 
1.2%
Other values (17) 80
 
7.5%

급식대상
Text

Distinct231
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:10.297068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length35
Mean length15.448755
Min length2

Characters and Unicode

Total characters21103
Distinct characters156
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)5.3%

Sample

1st row60세이상 저소득층 독거노인 및 결식노인
2nd row60세이상 저소득층 독거노인 및 결식노인
3rd row60세 이상 저소득 노인
4th row60세 이상 저소득 노인
5th row60세 이상 저소득 노인
ValueCountFrequency (%)
이상 335
 
7.6%
노인 321
 
7.3%
저소득 283
 
6.4%
60세이상 212
 
4.8%
독거노인 177
 
4.0%
60세 177
 
4.0%
어르신 143
 
3.2%
및 132
 
3.0%
65세이상 119
 
2.7%
있는 107
 
2.4%
Other values (207) 2404
54.5%
2024-05-11T10:16:11.216153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3047
 
14.4%
인 1110
 
5.3%
노 1083
 
5.1%
상 1022
 
4.8%
이 831
 
3.9%
득 788
 
3.7%
소 765
 
3.6%
저 754
 
3.6%
세 718
 
3.4%
6 716
 
3.4%
Other values (146) 10269
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15842
75.1%
Space Separator 3047
 
14.4%
Decimal Number 1450
 
6.9%
Math Symbol 506
 
2.4%
Other Punctuation 152
 
0.7%
Close Punctuation 53
 
0.3%
Open Punctuation 53
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1110
 
7.0%
노 1083
 
6.8%
상 1022
 
6.5%
이 831
 
5.2%
득 788
 
5.0%
소 765
 
4.8%
저 754
 
4.8%
세 718
 
4.5%
식 555
 
3.5%
결 496
 
3.1%
Other values (130) 7720
48.7%
Decimal Number
ValueCountFrequency (%)
6 716
49.4%
0 527
36.3%
5 193
 
13.3%
2 4
 
0.3%
9 3
 
0.2%
4 3
 
0.2%
1 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%
7 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 140
92.1%
/ 12
 
7.9%
Space Separator
ValueCountFrequency (%)
3047
100.0%
Math Symbol
ValueCountFrequency (%)
+ 506
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15842
75.1%
Common 5261
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1110
 
7.0%
노 1083
 
6.8%
상 1022
 
6.5%
이 831
 
5.2%
득 788
 
5.0%
소 765
 
4.8%
저 754
 
4.8%
세 718
 
4.5%
식 555
 
3.5%
결 496
 
3.1%
Other values (130) 7720
48.7%
Common
ValueCountFrequency (%)
3047
57.9%
6 716
 
13.6%
0 527
 
10.0%
+ 506
 
9.6%
5 193
 
3.7%
, 140
 
2.7%
) 53
 
1.0%
( 53
 
1.0%
/ 12
 
0.2%
2 4
 
0.1%
Other values (6) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15842
75.1%
ASCII 5261
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3047
57.9%
6 716
 
13.6%
0 527
 
10.0%
+ 506
 
9.6%
5 193
 
3.7%
, 140
 
2.7%
) 53
 
1.0%
( 53
 
1.0%
/ 12
 
0.2%
2 4
 
0.1%
Other values (6) 10
 
0.2%
Hangul
ValueCountFrequency (%)
인 1110
 
7.0%
노 1083
 
6.8%
상 1022
 
6.5%
이 831
 
5.2%
득 788
 
5.0%
소 765
 
4.8%
저 754
 
4.8%
세 718
 
4.5%
식 555
 
3.5%
결 496
 
3.1%
Other values (130) 7720
48.7%

급식시간
Text

Distinct216
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:11.818329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length15
Mean length14.478038
Min length2

Characters and Unicode

Total characters19777
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)8.9%

Sample

1st row중식(11:30~13:00)
2nd row중식(12:00~13:00)
3rd row중식(11:50-13:00)
4th row중식(11:50-13:00)
5th row중식(11:10-12:00)
ValueCountFrequency (%)
중식(12:00-13:00 138
 
9.3%
중식(11:30-12:30 106
 
7.2%
중식(11:30~12:30 94
 
6.3%
중식(11:30-13:00 89
 
6.0%
중식(12:00~13:00 73
 
4.9%
중식(12:00-13:00)+석식(17:00-18:00 65
 
4.4%
11시30분~12시30분 55
 
3.7%
중식 43
 
2.9%
중식(11:30~13:00 41
 
2.8%
중식(12:00 39
 
2.6%
Other values (202) 738
49.8%
2024-05-11T10:16:13.195109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4267
21.6%
1 3573
18.1%
: 2569
13.0%
3 1568
 
7.9%
식 1097
 
5.5%
( 1084
 
5.5%
) 1084
 
5.5%
중 1006
 
5.1%
2 991
 
5.0%
- 716
 
3.6%
Other values (49) 1822
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10803
54.6%
Other Letter 2718
 
13.7%
Other Punctuation 2574
 
13.0%
Open Punctuation 1084
 
5.5%
Close Punctuation 1084
 
5.5%
Dash Punctuation 716
 
3.6%
Math Symbol 683
 
3.5%
Space Separator 115
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1097
40.4%
중 1006
37.0%
시 139
 
5.1%
분 128
 
4.7%
석 87
 
3.2%
배 27
 
1.0%
달 27
 
1.0%
일 17
 
0.6%
미 15
 
0.6%
정 14
 
0.5%
Other values (29) 161
 
5.9%
Decimal Number
ValueCountFrequency (%)
0 4267
39.5%
1 3573
33.1%
3 1568
 
14.5%
2 991
 
9.2%
4 120
 
1.1%
8 83
 
0.8%
7 82
 
0.8%
5 63
 
0.6%
9 39
 
0.4%
6 17
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 2569
99.8%
/ 2
 
0.1%
. 2
 
0.1%
, 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 606
88.7%
+ 77
 
11.3%
Open Punctuation
ValueCountFrequency (%)
( 1084
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%
Space Separator
ValueCountFrequency (%)
115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17059
86.3%
Hangul 2718
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1097
40.4%
중 1006
37.0%
시 139
 
5.1%
분 128
 
4.7%
석 87
 
3.2%
배 27
 
1.0%
달 27
 
1.0%
일 17
 
0.6%
미 15
 
0.6%
정 14
 
0.5%
Other values (29) 161
 
5.9%
Common
ValueCountFrequency (%)
0 4267
25.0%
1 3573
20.9%
: 2569
15.1%
3 1568
 
9.2%
( 1084
 
6.4%
) 1084
 
6.4%
2 991
 
5.8%
- 716
 
4.2%
~ 606
 
3.6%
4 120
 
0.7%
Other values (10) 481
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17059
86.3%
Hangul 2717
 
13.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4267
25.0%
1 3573
20.9%
: 2569
15.1%
3 1568
 
9.2%
( 1084
 
6.4%
) 1084
 
6.4%
2 991
 
5.8%
- 716
 
4.2%
~ 606
 
3.6%
4 120
 
0.7%
Other values (10) 481
 
2.8%
Hangul
ValueCountFrequency (%)
식 1097
40.4%
중 1006
37.0%
시 139
 
5.1%
분 128
 
4.7%
석 87
 
3.2%
배 27
 
1.0%
달 27
 
1.0%
일 17
 
0.6%
미 15
 
0.6%
정 14
 
0.5%
Other values (28) 160
 
5.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

급식요일
Text

Distinct130
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:13.821580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length9
Mean length8.6734993
Min length1

Characters and Unicode

Total characters11848
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)4.8%

Sample

1st row월, 금
2nd row화, 수
3rd row월+화+수+목+금
4th row월+화+수+목+금
5th row월+화+수+목+금
ValueCountFrequency (%)
월+화+수+목+금 669
43.3%
월+화+수+목+금+토 250
 
16.2%
월~금 35
 
2.3%
화 29
 
1.9%
수 24
 
1.6%
금 24
 
1.6%
반찬배달 24
 
1.6%
주3회 20
 
1.3%
월+수+금 17
 
1.1%
목 15
 
1.0%
Other values (143) 438
28.3%
2024-05-11T10:16:15.413981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 4480
37.8%
금 1125
 
9.5%
월 1095
 
9.2%
수 1087
 
9.2%
화 1075
 
9.1%
목 1061
 
9.0%
토 347
 
2.9%
179
 
1.5%
일 170
 
1.4%
( 77
 
0.6%
Other values (86) 1152
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6750
57.0%
Math Symbol 4540
38.3%
Decimal Number 186
 
1.6%
Space Separator 179
 
1.5%
Open Punctuation 77
 
0.6%
Close Punctuation 77
 
0.6%
Other Punctuation 39
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 1125
16.7%
월 1095
16.2%
수 1087
16.1%
화 1075
15.9%
목 1061
15.7%
토 347
 
5.1%
일 170
 
2.5%
주 63
 
0.9%
회 54
 
0.8%
식 50
 
0.7%
Other values (68) 623
9.2%
Decimal Number
ValueCountFrequency (%)
1 42
22.6%
3 33
17.7%
2 32
17.2%
6 26
14.0%
9 13
 
7.0%
5 12
 
6.5%
4 11
 
5.9%
8 7
 
3.8%
7 5
 
2.7%
0 5
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 27
69.2%
/ 10
 
25.6%
* 2
 
5.1%
Math Symbol
ValueCountFrequency (%)
+ 4480
98.7%
~ 60
 
1.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6750
57.0%
Common 5098
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 1125
16.7%
월 1095
16.2%
수 1087
16.1%
화 1075
15.9%
목 1061
15.7%
토 347
 
5.1%
일 170
 
2.5%
주 63
 
0.9%
회 54
 
0.8%
식 50
 
0.7%
Other values (68) 623
9.2%
Common
ValueCountFrequency (%)
+ 4480
87.9%
179
 
3.5%
( 77
 
1.5%
) 77
 
1.5%
~ 60
 
1.2%
1 42
 
0.8%
3 33
 
0.6%
2 32
 
0.6%
, 27
 
0.5%
6 26
 
0.5%
Other values (8) 65
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6750
57.0%
ASCII 5098
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 4480
87.9%
179
 
3.5%
( 77
 
1.5%
) 77
 
1.5%
~ 60
 
1.2%
1 42
 
0.8%
3 33
 
0.6%
2 32
 
0.6%
, 27
 
0.5%
6 26
 
0.5%
Other values (8) 65
 
1.3%
Hangul
ValueCountFrequency (%)
금 1125
16.7%
월 1095
16.2%
수 1087
16.1%
화 1075
15.9%
목 1061
15.7%
토 347
 
5.1%
일 170
 
2.5%
주 63
 
0.9%
회 54
 
0.8%
식 50
 
0.7%
Other values (68) 623
9.2%

운영시작일자
Date

MISSING 

Distinct385
Distinct (%)39.2%
Missing384
Missing (%)28.1%
Memory size10.8 KiB
Minimum1986-05-01 00:00:00
Maximum2024-01-02 00:00:00
2024-05-11T10:16:16.130385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:16:16.718575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영종료일자
Categorical

IMBALANCE 

Distinct23
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
<NA>
912 
2023-12-31
152 
2022-12-31
122 
2024-12-31
 
61
2021-12-31
 
21
Other values (18)
98 

Length

Max length10
Median length4
Mean length5.9941435
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 912
66.8%
2023-12-31 152
 
11.1%
2022-12-31 122
 
8.9%
2024-12-31 61
 
4.5%
2021-12-31 21
 
1.5%
2020-12-31 14
 
1.0%
2018-12-31 12
 
0.9%
2022-12-30 11
 
0.8%
2027-12-31 10
 
0.7%
2019-12-31 10
 
0.7%
Other values (13) 41
 
3.0%

Length

2024-05-11T10:16:17.236041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 912
66.8%
2023-12-31 152
 
11.1%
2022-12-31 122
 
8.9%
2024-12-31 61
 
4.5%
2021-12-31 21
 
1.5%
2020-12-31 14
 
1.0%
2018-12-31 12
 
0.9%
2022-12-30 11
 
0.8%
2027-12-31 10
 
0.7%
2019-12-31 10
 
0.7%
Other values (13) 41
 
3.0%

위도
Real number (ℝ)

MISSING 

Distinct1120
Distinct (%)90.3%
Missing126
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean36.454344
Minimum33.223903
Maximum38.213998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T10:16:17.708837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.223903
5-th percentile34.826993
Q135.382807
median36.452277
Q337.449393
95-th percentile37.71018
Maximum38.213998
Range4.9900956
Interquartile range (IQR)2.0665853

Descriptive statistics

Standard deviation1.0640501
Coefficient of variation (CV)0.029188569
Kurtosis-1.1827758
Mean36.454344
Median Absolute Deviation (MAD)1.0034571
Skewness-0.28263918
Sum45203.387
Variance1.1322027
MonotonicityNot monotonic
2024-05-11T10:16:18.448743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26567858 8
 
0.6%
36.7804683 5
 
0.4%
35.87519399 2
 
0.1%
35.28254828 2
 
0.1%
35.980484 2
 
0.1%
35.96946662 2
 
0.1%
35.97918886 2
 
0.1%
37.3464827 2
 
0.1%
37.332675 2
 
0.1%
37.34476858 2
 
0.1%
Other values (1110) 1211
88.7%
(Missing) 126
 
9.2%
ValueCountFrequency (%)
33.22390252 1
0.1%
33.24995375 1
0.1%
33.30505052 1
0.1%
33.41688429 1
0.1%
33.44668383 1
0.1%
33.47391698 1
0.1%
33.48593843 1
0.1%
33.50138352 1
0.1%
34.45090369 1
0.1%
34.467238 1
0.1%
ValueCountFrequency (%)
38.2139981 2
0.1%
38.209105 2
0.1%
38.20657089 2
0.1%
38.202951 2
0.1%
38.202634 2
0.1%
38.202515 2
0.1%
38.19704008 2
0.1%
38.196465 2
0.1%
38.195542 2
0.1%
38.1854769 2
0.1%

경도
Real number (ℝ)

MISSING 

Distinct1116
Distinct (%)90.0%
Missing126
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean127.56272
Minimum124.66265
Maximum129.55608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2024-05-11T10:16:19.100863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.66265
5-th percentile126.59878
Q1126.87595
median127.12729
Q3128.55014
95-th percentile129.16944
Maximum129.55608
Range4.8934324
Interquartile range (IQR)1.6741878

Descriptive statistics

Standard deviation0.91875834
Coefficient of variation (CV)0.0072024047
Kurtosis-0.81870543
Mean127.56272
Median Absolute Deviation (MAD)0.37667055
Skewness0.52426975
Sum158177.77
Variance0.84411688
MonotonicityNot monotonic
2024-05-11T10:16:19.678350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0000947 8
 
0.6%
127.0034511 5
 
0.4%
128.9861568 2
 
0.1%
127.1272938 2
 
0.1%
128.6405362 2
 
0.1%
128.6425205 2
 
0.1%
128.6984653 2
 
0.1%
128.979607 2
 
0.1%
128.9888939 2
 
0.1%
128.958622 2
 
0.1%
Other values (1106) 1211
88.7%
(Missing) 126
 
9.2%
ValueCountFrequency (%)
124.6626466 1
0.1%
124.6836152 1
0.1%
124.7141543 1
0.1%
124.7193851 1
0.1%
125.4432875 1
0.1%
125.7032019 1
0.1%
125.926657 1
0.1%
125.9538981 1
0.1%
126.0348759 1
0.1%
126.047605 1
0.1%
ValueCountFrequency (%)
129.556079 1
0.1%
129.431459 1
0.1%
129.4274887 1
0.1%
129.4260207 1
0.1%
129.4194749 1
0.1%
129.417091 1
0.1%
129.4149186 1
0.1%
129.4121928 1
0.1%
129.4118826 1
0.1%
129.4061871 1
0.1%

데이터기준일자
Date

Distinct167
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
Minimum2020-07-15 00:00:00
Maximum2024-04-10 00:00:00
2024-05-11T10:16:20.504197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:16:21.025115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct232
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:21.962620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters9562
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)3.1%

Sample

1st row5210000
2nd row5210000
3rd row3650000
4th row3650000
5th row3650000
ValueCountFrequency (%)
3930000 77
 
5.6%
4850000 54
 
4.0%
6270000 37
 
2.7%
6290000 30
 
2.2%
6300000 27
 
2.0%
3780000 27
 
2.0%
5670000 25
 
1.8%
4920000 15
 
1.1%
4641000 14
 
1.0%
4640000 14
 
1.0%
Other values (222) 1046
76.6%
2024-05-11T10:16:23.609971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5610
58.7%
3 916
 
9.6%
4 704
 
7.4%
5 439
 
4.6%
1 355
 
3.7%
2 354
 
3.7%
6 347
 
3.6%
9 326
 
3.4%
7 254
 
2.7%
8 248
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9553
99.9%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5610
58.7%
3 916
 
9.6%
4 704
 
7.4%
5 439
 
4.6%
1 355
 
3.7%
2 354
 
3.7%
6 347
 
3.6%
9 326
 
3.4%
7 254
 
2.7%
8 248
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9553
99.9%
Latin 9
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5610
58.7%
3 916
 
9.6%
4 704
 
7.4%
5 439
 
4.6%
1 355
 
3.7%
2 354
 
3.7%
6 347
 
3.6%
9 326
 
3.4%
7 254
 
2.7%
8 248
 
2.6%
Latin
ValueCountFrequency (%)
B 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5610
58.7%
3 916
 
9.6%
4 704
 
7.4%
5 439
 
4.6%
1 355
 
3.7%
2 354
 
3.7%
6 347
 
3.6%
9 326
 
3.4%
7 254
 
2.7%
8 248
 
2.6%

제공기관명
Text

Distinct232
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2024-05-11T10:16:24.640194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.0614934
Min length5

Characters and Unicode

Total characters11012
Distinct characters137
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 (%)3.1%

Sample

1st row경상북도 성주군
2nd row경상북도 성주군
3rd row대전광역시 중구
4th row대전광역시 중구
5th row대전광역시 중구
ValueCountFrequency (%)
경기도 236
 
9.0%
전라남도 174
 
6.6%
서울특별시 162
 
6.2%
경상남도 86
 
3.3%
안산시 77
 
2.9%
부산광역시 73
 
2.8%
대구광역시 72
 
2.7%
강원도 61
 
2.3%
강원특별자치도 58
 
2.2%
광주광역시 57
 
2.2%
Other values (193) 1573
59.8%
2024-05-11T10:16:26.264425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1263
 
11.5%
시 1093
 
9.9%
도 869
 
7.9%
구 477
 
4.3%
광 421
 
3.8%
남 400
 
3.6%
경 384
 
3.5%
역 348
 
3.2%
전 346
 
3.1%
군 318
 
2.9%
Other values (127) 5093
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9749
88.5%
Space Separator 1263
 
11.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1093
 
11.2%
도 869
 
8.9%
구 477
 
4.9%
광 421
 
4.3%
남 400
 
4.1%
경 384
 
3.9%
역 348
 
3.6%
전 346
 
3.5%
군 318
 
3.3%
특 273
 
2.8%
Other values (126) 4820
49.4%
Space Separator
ValueCountFrequency (%)
1263
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9749
88.5%
Common 1263
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1093
 
11.2%
도 869
 
8.9%
구 477
 
4.9%
광 421
 
4.3%
남 400
 
4.1%
경 384
 
3.9%
역 348
 
3.6%
전 346
 
3.5%
군 318
 
3.3%
특 273
 
2.8%
Other values (126) 4820
49.4%
Common
ValueCountFrequency (%)
1263
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9749
88.5%
ASCII 1263
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1263
100.0%
Hangul
ValueCountFrequency (%)
시 1093
 
11.2%
도 869
 
8.9%
구 477
 
4.9%
광 421
 
4.3%
남 400
 
4.1%
경 384
 
3.9%
역 348
 
3.6%
전 346
 
3.5%
군 318
 
3.3%
특 273
 
2.8%
Other values (126) 4820
49.4%

Interactions

2024-05-11T10:15:56.509040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:15:56.015455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:15:56.729096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:15:56.270092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:16:26.644973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영종료일자위도경도
운영종료일자1.0000.7260.686
위도0.7261.0000.608
경도0.6860.6081.000
2024-05-11T10:16:26.995072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도운영종료일자
위도1.000-0.1890.379
경도-0.1891.0000.329
운영종료일자0.3790.3291.000

Missing values

2024-05-11T10:15:57.062114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:15:57.676756image/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.
2024-05-11T10:15:58.060441image/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

시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식요일운영시작일자운영종료일자위도경도데이터기준일자제공기관코드제공기관명
0관운사가야복지센터경상북도 성주군 성주읍 경산길 33-1경상북도 성주군 성주읍 경산리 577-4관운사가야복지센터054-931-3000관운사가야복지센터60세이상 저소득층 독거노인 및 결식노인중식(11:30~13:00)월, 금2010-01-08<NA>35.915662128.2843142020-07-155210000경상북도 성주군
1이웃과하나노인복지센터경상북도 성주군 성주읍 예산3길 8-4경상북도 성주군 성주읍 예산리 466이웃과하나노인복지센터054-931-1611이웃과하나노인복지센터60세이상 저소득층 독거노인 및 결식노인중식(12:00~13:00)화, 수2004-11-05<NA>35.924447128.2859222020-07-155210000경상북도 성주군
2대전광역시노인복지관대전광역시 중구 테미로 26 (대흥동)대전광역시 중구 대흥동 311-1대전광역시노인복지관042-242-31011층 행복식당60세 이상 저소득 노인중식(11:50-13:00)월+화+수+목+금2007-01-01<NA>36.320736127.4208512022-09-023650000대전광역시 중구
3문창효심정대전광역시 중구 보문로20번길 33 (문창동)대전광역시 중구 문창동 119-21대전가톨릭사회복지회042-635-51111층 문창효심정60세 이상 저소득 노인중식(11:50-13:00)월+화+수+목+금1999-01-01<NA>36.315945127.4376432022-09-023650000대전광역시 중구
4성락종합사회복지관대전광역시 중구 선화로43번길 13 (용두동)대전광역시 중구 용두동 53-31성락종합사회복지관042-254-63961층 만나홀60세 이상 저소득 노인중식(11:10-12:00)월+화+수+목+금2001-01-01<NA>36.327619127.4126742022-09-023650000대전광역시 중구
5중촌종합사회복지관대전광역시 중구 대전천서로 695 (중촌동, 주공아파트2단지)대전광역시 중구 중촌동 128-1중촌종합사회복지관042-221-25771층 노인무료급식소60세 이상 저소득 노인중식(11:30-12:30)월+화+수+목+금1998-01-01<NA>36.344867127.4105122022-09-023650000대전광역시 중구
6호산나공동체대전광역시 중구 계룡로815번길 6 (용두동)대전광역시 중구 용두동 35-1호산나공동체042-222-41491층 노인무료급식소60세 이상 저소득 노인석식(16:30-17:30)월+화+수+목+금2001-01-01<NA>36.327348127.4072782022-09-023650000대전광역시 중구
7중촌효심정대전광역시 중구 대전천서로 616 (중촌동)대전광역시 중구 중촌동 382-1대전YWCA042-254-30351층 중촌효심정60세 이상 저소득 노인중식(11:50-13:00)월+화+수+목+금1999-01-01<NA>36.338534127.4159922022-09-023650000대전광역시 중구
8서부종합사회복지관충청북도 청주시 흥덕구 가로수로1370번길 16(복대동)<NA>서부종합사회복지관043-236-3600서부종합사회복지관60세이상 기초수급자+차상위+저소득 독거노인중식(12:00~13:00)월+화+수+목+금<NA><NA><NA><NA>2023-06-205710000충청북도 청주시
9청주종합사회복지관충청북도 청주시 흥덕구 1순환로 392(신봉동)<NA>청주종합사회복지관043-266-4761청주종합사회복지관60세이상 기초수급자+차상위+저소득 독거노인중식(12:00~13:00)월+화+수+목+금<NA><NA><NA><NA>2023-06-205710000충청북도 청주시
시설명소재지도로명주소소재지지번주소운영기관명전화번호급식장소급식대상급식시간급식요일운영시작일자운영종료일자위도경도데이터기준일자제공기관코드제공기관명
1356성언의집인천광역시 동구 화도진로79번길 10인천광역시 동구 화평동 328거룩한말씀의 수녀회032-764-1661성언의집 급식소인천광역시 동구 거주 만60세이상 저소득 노인중식(11:00-12:00)화+수+목+금+토2023-01-012023-12-3137.478928126.630222023-10-203500000인천광역시 동구
1357송현교회인천광역시 동구 화도진로44번길 37인천광역시 동구 송현동 87-2기독교대한성결교회032-761-4001송현교회 급식소인천광역시 동구 거주 만60세이상 저소득 노인중식(11:00-11:30)월+화+수+목+금2023-01-012023-12-3137.475708126.6357082023-10-203500000인천광역시 동구
1358창영사회복지관인천광역시 동구 우각로 57인천광역시 동구 창영동 42-3기독교대한감리유지재단032-773-1733창영사회복지관 급식소인천광역시 동구 거주 만60세이상 저소득 노인중식(11:00-12:00)월+화+수+목+금2023-01-012023-12-3137.471047126.6411842023-10-203500000인천광역시 동구
1359네트워크인천광역시 동구 운교로15번길 5인천광역시 동구 화수동 287-89사회복지법인 네트워크032-762-1020네트워크 급식소인천광역시 동구 거주 만60세이상 저소득 노인중식(15:30-16:30)월+화+수+목+금2023-01-012023-12-3137.480254126.6283242023-10-203500000인천광역시 동구
1360네트워크인천광역시 동구 운교로15번길 5인천광역시 동구 화수동 287-89사회복지법인 네트워크032-762-1020네트워크 급식소인천광역시 동구 거주 만60세이상 저소득 노인중식(11:00-12:00)토2023-01-012023-12-3137.480254126.6283242023-10-203500000인천광역시 동구
1361예천군노인복지관경상북도 예천군 예천읍 충효로 209-15경상북도 예천군 예천읍 서본리 240예천군 노인복지관054-654-5222노인복지관 내 식당기초생활수급자,국가유공자11:30~13:00월+화+수+목+금2023-01-012023-12-3136.651248128.4464752023-10-275230000경상북도 예천군
1362심곡동종합사회복지관경기도 부천시 원미구 계남로 125경기도 부천시 원미구 중동 1028번지심곡동종합사회복지관032-324-0723심곡동종합사회복지관만60세 이상 기초생활보장수급자 및 차상위계층중식(11:30-12:30)월+화+수+목+금요일2016-05-02<NA>37.508904126.7626312024-01-113860000경기도 부천시
1363춘의종합사회복지관경기도 부천시 원미구 원미로 202경기도 부천시 원미구 춘의동 237번지 춘의주공아파트춘의종합사회복지관032-653-6131춘의종합사회복지관만60세 이상 기초생활보장수급자 및 차상위계층중식(11:30-12:30)월+화+수+목+금요일2010-02-04<NA>37.500758126.7952322024-01-113860000경기도 부천시
1364신중동종합사회복지관경기도 부천시 원미구 도약로 146경기도 부천시 원미구 중동 1041번지 덕유마을주공1단지+2단지+4단지아파트신중동종합사회복지관032-325-2161신중동종합사회복지관만60세 이상 기초생활보장수급자 및 차상위계층중식(11:30-12:30)월+화+수+목+금요일2010-01-07<NA>37.509514126.7671242024-01-113860000경기도 부천시
1365상동종합사회복지관경기도 부천시 원미구 석천로 16번길 50경기도 부천시 원미구 상동 318-1상동종합사회복지관032-652-0420상동종합사회복지관만60세 이상 기초생활보장수급자 및 차상위계층중식(11:30-12:30)월+화+수+목+금요일2010-02-03<NA>37.488832126.7627692024-01-113860000경기도 부천시