Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 KiB
Average record size in memory98.0 B

Variable types

Categorical2
Text3
DateTime4
Numeric1
Boolean1

Dataset

Description홈페이지에 공고한 시장형, 공익활동형 노인일자리 사업의 홈페이지 모집 기간, 담당자, 인원 등의 정보를 제공하는 데이터입니다.
Author한국노인인력개발원
URLhttps://www.data.go.kr/data/15050147/fileData.do

Alerts

사업년도 has constant value ""Constant
사업번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:48:29.157125
Analysis finished2023-12-12 21:48:30.642894
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업유형
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공익활동형
6079 
사회서비스형
2212 
시장형
1709 

Length

Max length6
Median length5
Mean length4.8794
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시장형
2nd row공익활동형
3rd row공익활동형
4th row사회서비스형
5th row공익활동형

Common Values

ValueCountFrequency (%)
공익활동형 6079
60.8%
사회서비스형 2212
 
22.1%
시장형 1709
 
17.1%

Length

2023-12-13T06:48:30.715232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:48:30.838600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공익활동형 6079
60.8%
사회서비스형 2212
 
22.1%
시장형 1709
 
17.1%

사업번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:48:31.207482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row2021-05598
2nd row2021-08759
3rd row2021-07968
4th row2021-50062
5th row2021-07185
ValueCountFrequency (%)
2021-05598 1
 
< 0.1%
2021-48021 1
 
< 0.1%
2021-04745 1
 
< 0.1%
2021-48972 1
 
< 0.1%
2021-03019 1
 
< 0.1%
2021-09782 1
 
< 0.1%
2021-48481 1
 
< 0.1%
2021-03486 1
 
< 0.1%
2021-02631 1
 
< 0.1%
2021-05885 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T06:48:31.690348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23988
24.0%
0 22285
22.3%
1 14902
14.9%
- 10000
10.0%
4 4886
 
4.9%
8 4216
 
4.2%
7 4010
 
4.0%
3 3984
 
4.0%
5 3933
 
3.9%
9 3906
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90000
90.0%
Dash Punctuation 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23988
26.7%
0 22285
24.8%
1 14902
16.6%
4 4886
 
5.4%
8 4216
 
4.7%
7 4010
 
4.5%
3 3984
 
4.4%
5 3933
 
4.4%
9 3906
 
4.3%
6 3890
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 23988
24.0%
0 22285
22.3%
1 14902
14.9%
- 10000
10.0%
4 4886
 
4.9%
8 4216
 
4.2%
7 4010
 
4.0%
3 3984
 
4.0%
5 3933
 
3.9%
9 3906
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23988
24.0%
0 22285
22.3%
1 14902
14.9%
- 10000
10.0%
4 4886
 
4.9%
8 4216
 
4.2%
7 4010
 
4.0%
3 3984
 
4.0%
5 3933
 
3.9%
9 3906
 
3.9%

사업년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 10000
100.0%

Length

2023-12-13T06:48:31.842299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:48:31.924238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 10000
100.0%
Distinct7359
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:48:32.185796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length9.9292
Min length2

Characters and Unicode

Total characters99292
Distinct characters860
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6382 ?
Unique (%)63.8%

Sample

1st row시니어서비스맨
2nd row내고장 사랑 환경지킴이
3rd row모니터링사업(우리동네안전모니터링)
4th row호시탐탐시니어보안관
5th row청소년 아동 안전지킴이
ValueCountFrequency (%)
노노케어 297
 
2.0%
235
 
1.6%
시니어 208
 
1.4%
지원 186
 
1.2%
사업 142
 
0.9%
경로당 128
 
0.9%
사업단 110
 
0.7%
도우미 102
 
0.7%
봉사 94
 
0.6%
지원사업 82
 
0.5%
Other values (7610) 13397
89.4%
2023-12-13T06:48:32.634930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5100
 
5.1%
4703
 
4.7%
4410
 
4.4%
3118
 
3.1%
2717
 
2.7%
2406
 
2.4%
1842
 
1.9%
1816
 
1.8%
1800
 
1.8%
1793
 
1.8%
Other values (850) 69587
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88619
89.3%
Space Separator 5100
 
5.1%
Close Punctuation 1646
 
1.7%
Open Punctuation 1623
 
1.6%
Decimal Number 983
 
1.0%
Other Punctuation 384
 
0.4%
Uppercase Letter 340
 
0.3%
Dash Punctuation 266
 
0.3%
Lowercase Letter 184
 
0.2%
Letter Number 44
 
< 0.1%
Other values (7) 103
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4703
 
5.3%
4410
 
5.0%
3118
 
3.5%
2717
 
3.1%
2406
 
2.7%
1842
 
2.1%
1816
 
2.0%
1800
 
2.0%
1793
 
2.0%
1744
 
2.0%
Other values (758) 62270
70.3%
Lowercase Letter
ValueCountFrequency (%)
e 43
23.4%
a 23
12.5%
f 17
 
9.2%
c 14
 
7.6%
o 13
 
7.1%
i 12
 
6.5%
m 9
 
4.9%
r 8
 
4.3%
s 6
 
3.3%
n 6
 
3.3%
Other values (14) 33
17.9%
Uppercase Letter
ValueCountFrequency (%)
M 41
12.1%
E 40
11.8%
C 34
 
10.0%
T 25
 
7.4%
S 24
 
7.1%
I 23
 
6.8%
A 19
 
5.6%
B 16
 
4.7%
D 15
 
4.4%
O 14
 
4.1%
Other values (13) 89
26.2%
Other Punctuation
ValueCountFrequency (%)
' 117
30.5%
, 102
26.6%
" 56
14.6%
. 35
 
9.1%
& 27
 
7.0%
· 17
 
4.4%
! 15
 
3.9%
: 7
 
1.8%
/ 6
 
1.6%
# 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 325
33.1%
1 239
24.3%
0 102
 
10.4%
9 72
 
7.3%
3 67
 
6.8%
8 61
 
6.2%
6 49
 
5.0%
5 29
 
3.0%
7 22
 
2.2%
4 17
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 5
26.3%
> 4
21.1%
< 4
21.1%
~ 4
21.1%
2
 
10.5%
Close Punctuation
ValueCountFrequency (%)
) 1629
99.0%
] 16
 
1.0%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1606
99.0%
[ 16
 
1.0%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
38
86.4%
6
 
13.6%
Initial Punctuation
ValueCountFrequency (%)
13
59.1%
9
40.9%
Final Punctuation
ValueCountFrequency (%)
13
65.0%
7
35.0%
Other Number
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
5100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 35
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88556
89.2%
Common 10105
 
10.2%
Latin 567
 
0.6%
Han 63
 
0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4703
 
5.3%
4410
 
5.0%
3118
 
3.5%
2717
 
3.1%
2406
 
2.7%
1842
 
2.1%
1816
 
2.1%
1800
 
2.0%
1793
 
2.0%
1744
 
2.0%
Other values (741) 62207
70.2%
Latin
ValueCountFrequency (%)
e 43
 
7.6%
M 41
 
7.2%
E 40
 
7.1%
38
 
6.7%
C 34
 
6.0%
T 25
 
4.4%
S 24
 
4.2%
a 23
 
4.1%
I 23
 
4.1%
A 19
 
3.4%
Other values (38) 257
45.3%
Common
ValueCountFrequency (%)
5100
50.5%
) 1629
 
16.1%
( 1606
 
15.9%
2 325
 
3.2%
- 266
 
2.6%
1 239
 
2.4%
' 117
 
1.2%
0 102
 
1.0%
, 102
 
1.0%
9 72
 
0.7%
Other values (33) 547
 
5.4%
Han
ValueCountFrequency (%)
27
42.9%
12
19.0%
3
 
4.8%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
Other values (7) 7
 
11.1%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88555
89.2%
ASCII 10560
 
10.6%
CJK 51
 
0.1%
Number Forms 44
 
< 0.1%
Punctuation 42
 
< 0.1%
None 20
 
< 0.1%
CJK Compat Ideographs 12
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%
Math Operators 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5100
48.3%
) 1629
 
15.4%
( 1606
 
15.2%
2 325
 
3.1%
- 266
 
2.5%
1 239
 
2.3%
' 117
 
1.1%
0 102
 
1.0%
, 102
 
1.0%
9 72
 
0.7%
Other values (68) 1002
 
9.5%
Hangul
ValueCountFrequency (%)
4703
 
5.3%
4410
 
5.0%
3118
 
3.5%
2717
 
3.1%
2406
 
2.7%
1842
 
2.1%
1816
 
2.1%
1800
 
2.0%
1793
 
2.0%
1744
 
2.0%
Other values (740) 62206
70.2%
Number Forms
ValueCountFrequency (%)
38
86.4%
6
 
13.6%
CJK
ValueCountFrequency (%)
27
52.9%
3
 
5.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
2
 
3.9%
1
 
2.0%
Other values (6) 6
 
11.8%
None
ValueCountFrequency (%)
· 17
85.0%
1
 
5.0%
1
 
5.0%
Ι 1
 
5.0%
Punctuation
ValueCountFrequency (%)
13
31.0%
13
31.0%
9
21.4%
7
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
12
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
2
50.0%
2
50.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-11-02 00:00:00
Maximum2021-12-07 00:00:00
2023-12-13T06:48:32.778056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:48:32.938956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct175
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-15 00:00:00
Maximum2021-12-31 00:00:00
2023-12-13T06:48:33.100663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:48:33.268706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct171
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2021-12-07 00:00:00
2023-12-13T06:48:33.424034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:48:33.563152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct179
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-11-18 00:00:00
Maximum2022-03-02 00:00:00
2023-12-13T06:48:33.754181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:48:33.890494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3108
Distinct (%)31.1%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:48:34.264826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0823165
Min length2

Characters and Unicode

Total characters30817
Distinct characters288
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1097 ?
Unique (%)11.0%

Sample

1st row이수윤
2nd row송규용
3rd row박선교
4th row강동형
5th row조진희
ValueCountFrequency (%)
임채완 78
 
0.8%
김영미 46
 
0.5%
허석현 42
 
0.4%
우현지 37
 
0.4%
정혜언 36
 
0.4%
황윤정 31
 
0.3%
사회복지사 31
 
0.3%
손자영 31
 
0.3%
김미경 31
 
0.3%
조영식 26
 
0.3%
Other values (3092) 9802
96.2%
2023-12-13T06:48:34.821222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2162
 
7.0%
1456
 
4.7%
1249
 
4.1%
1085
 
3.5%
865
 
2.8%
843
 
2.7%
831
 
2.7%
770
 
2.5%
752
 
2.4%
749
 
2.4%
Other values (278) 20055
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30514
99.0%
Space Separator 225
 
0.7%
Other Punctuation 66
 
0.2%
Decimal Number 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2162
 
7.1%
1456
 
4.8%
1249
 
4.1%
1085
 
3.6%
865
 
2.8%
843
 
2.8%
831
 
2.7%
770
 
2.5%
752
 
2.5%
749
 
2.5%
Other values (271) 19752
64.7%
Other Punctuation
ValueCountFrequency (%)
, 58
87.9%
/ 7
 
10.6%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
225
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30514
99.0%
Common 303
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2162
 
7.1%
1456
 
4.8%
1249
 
4.1%
1085
 
3.6%
865
 
2.8%
843
 
2.8%
831
 
2.7%
770
 
2.5%
752
 
2.5%
749
 
2.5%
Other values (271) 19752
64.7%
Common
ValueCountFrequency (%)
225
74.3%
, 58
 
19.1%
/ 7
 
2.3%
2 4
 
1.3%
) 4
 
1.3%
( 4
 
1.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30513
99.0%
ASCII 303
 
1.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2162
 
7.1%
1456
 
4.8%
1249
 
4.1%
1085
 
3.6%
865
 
2.8%
843
 
2.8%
831
 
2.7%
770
 
2.5%
752
 
2.5%
749
 
2.5%
Other values (270) 19751
64.7%
ASCII
ValueCountFrequency (%)
225
74.3%
, 58
 
19.1%
/ 7
 
2.3%
2 4
 
1.3%
) 4
 
1.3%
( 4
 
1.3%
. 1
 
0.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct396
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.2673
Minimum0
Maximum9760
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:48:34.976785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median31
Q380
95-th percentile268.05
Maximum9760
Range9760
Interquartile range (IQR)65

Descriptive statistics

Standard deviation276.20298
Coefficient of variation (CV)3.0941115
Kurtosis361.92168
Mean89.2673
Median Absolute Deviation (MAD)21
Skewness14.775351
Sum892673
Variance76288.087
MonotonicityNot monotonic
2023-12-13T06:48:35.111407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 705
 
7.0%
10 688
 
6.9%
30 473
 
4.7%
40 374
 
3.7%
50 327
 
3.3%
12 309
 
3.1%
100 280
 
2.8%
8 274
 
2.7%
60 250
 
2.5%
6 240
 
2.4%
Other values (386) 6080
60.8%
ValueCountFrequency (%)
0 27
 
0.3%
1 27
 
0.3%
2 94
 
0.9%
3 59
 
0.6%
4 148
1.5%
5 154
1.5%
6 240
2.4%
7 77
 
0.8%
8 274
2.7%
9 79
 
0.8%
ValueCountFrequency (%)
9760 2
 
< 0.1%
3826 10
0.1%
2877 1
 
< 0.1%
2708 23
0.2%
2234 20
0.2%
2183 1
 
< 0.1%
2100 4
 
< 0.1%
2048 1
 
< 0.1%
1917 1
 
< 0.1%
1800 1
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8724 
True
1276 
ValueCountFrequency (%)
False 8724
87.2%
True 1276
 
12.8%
2023-12-13T06:48:35.212483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T06:48:29.985749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:48:35.272936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업유형홈페이지모집인원수삭제여부
사업유형1.0000.0400.074
홈페이지모집인원수0.0401.0000.027
삭제여부0.0740.0271.000
2023-12-13T06:48:35.355415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업유형삭제여부
사업유형1.0000.123
삭제여부0.1231.000
2023-12-13T06:48:35.436634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
홈페이지모집인원수사업유형삭제여부
홈페이지모집인원수1.0000.0300.033
사업유형0.0301.0000.123
삭제여부0.0330.1231.000

Missing values

2023-12-13T06:48:30.129754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:48:30.551013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

사업유형사업번호사업년도사업명홈페이지모집시작일자홈페이지모집종료일자홈페이지공고시작일홈페이지공고종료일홈페이지담당자명홈페이지모집인원수삭제여부
1947시장형2021-055982021시니어서비스맨2020-11-23 00:00:002020-12-18 00:00:002020-11-23 00:00:002020-12-18 00:00:00이수윤6N
4985공익활동형2021-087592021내고장 사랑 환경지킴이2020-12-09 00:00:002020-12-18 00:00:002020-12-07 00:00:002020-12-18 00:00:00송규용290Y
3779공익활동형2021-079682021모니터링사업(우리동네안전모니터링)2020-12-01 00:00:002020-12-17 00:00:002020-12-01 00:00:002020-12-17 00:00:00박선교2234N
5972사회서비스형2021-500622021호시탐탐시니어보안관2021-08-24 00:00:002021-08-31 00:00:002021-08-24 00:00:002021-08-31 00:00:00강동형17N
5258공익활동형2021-071852021청소년 아동 안전지킴이2020-11-23 00:00:002020-12-11 00:00:002020-11-23 00:00:002020-12-11 00:00:00조진희270N
7165사회서비스형2021-096872021아이사랑도우미2020-12-28 00:00:002021-01-15 00:00:002020-12-28 00:00:002021-01-15 00:00:00김영미26N
10511사회서비스형2021-091792021노인서비스지원사업2020-12-28 00:00:002021-01-15 00:00:002020-12-28 00:00:002021-01-15 00:00:00정한별11N
5557사회서비스형2021-480222021꿈꾸미사서도우미2021-08-02 00:00:002021-08-20 00:00:002021-08-02 00:00:002021-08-20 00:00:00이화진24N
2103시장형2021-071652021파랑새재활용사업단2020-11-23 00:00:002020-12-18 00:00:002020-11-23 00:00:002020-12-18 00:00:00윤예원56N
6833공익활동형2021-073512021지역사회환경개선봉사2020-12-01 00:00:002020-12-18 00:00:002020-12-01 00:00:002020-12-18 00:00:00이지영30N
사업유형사업번호사업년도사업명홈페이지모집시작일자홈페이지모집종료일자홈페이지공고시작일홈페이지공고종료일홈페이지담당자명홈페이지모집인원수삭제여부
10558사회서비스형2021-100462021사회서비스-어린이집 지원2020-12-28 00:00:002021-01-15 00:00:002020-12-28 00:00:002021-01-15 00:00:00신준범3N
7918공익활동형2021-056932021노노케어2020-11-23 00:00:002020-12-18 00:00:002020-11-23 00:00:002020-12-18 00:00:00신지영140N
7912공익활동형2021-056922021농촌지역폐농자재관리2020-11-23 00:00:002020-12-18 00:00:002020-11-23 00:00:002020-12-18 00:00:00손미화120N
3069공익활동형2021-008062021해솔촌가꿈단2020-11-23 00:00:002020-11-30 00:00:002020-11-23 00:00:002020-11-30 00:00:00김미경72N
4439사회서비스형2021-103502021시니어안전모니터링사업2021-01-11 00:00:002021-01-15 00:00:002021-01-02 00:00:002021-01-15 00:00:00민재홍40N
7931사회서비스형2021-129512021보육시설지원(보육교사도우미)2021-01-11 00:00:002021-01-22 00:00:002021-01-11 00:00:002021-01-22 00:00:00고상희10N
1019공익활동형2021-022312021행복공간지킴이2020-12-01 00:00:002020-12-18 00:00:002020-12-01 00:00:002020-12-18 00:00:00김한비230N
9871시장형2021-049042021시니어카페이음2020-11-30 00:00:002020-12-11 00:00:002020-11-30 00:00:002020-12-11 00:00:00배지흥20N
356공익활동형2021-035742021경로당 건강.안전관리사업단2020-11-23 00:00:002020-12-11 00:00:002020-11-18 00:00:002020-12-11 00:00:00심인택50N
1109사회서비스형2021-503412021우리동네시니어돌봄단2021-09-06 00:00:002021-09-08 00:00:002021-08-25 00:00:002021-09-08 00:00:00장다영39N