Overview

Dataset statistics

Number of variables7
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory57.5 B

Variable types

Text3
DateTime2
Categorical2

Dataset

Description경기도일자리재단_잡아바 대외활동
Author경기도일자리재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WFYU2AD3WMUS0X8LFGUQ29476362&infSeq=1

Alerts

지역명 has constant value ""Constant
공고명 has unique valuesUnique
상세페이지URL(잡아바) has unique valuesUnique

Reproduction

Analysis started2024-05-10 20:41:44.192089
Analysis finished2024-05-10 20:41:46.703666
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고명
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-10T20:41:47.071809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length33.5
Mean length23.837209
Min length8

Characters and Unicode

Total characters2050
Distinct characters326
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st row제12기 KEITI 서포터즈 에코프렌즈 모집
2nd row2024년도 문화PD 22기 모집
3rd row2024년 보건복지부 18기 대학생 금연서포터즈 모집
4th row2024 과천시 SNS시민기자단 영상부문 추가모집
5th row제3회 전기안전 정책 경진대회
ValueCountFrequency (%)
모집 32
 
7.1%
공모전 23
 
5.1%
2024년 23
 
5.1%
2024 20
 
4.4%
서포터즈 8
 
1.8%
경기도 7
 
1.6%
대학생 6
 
1.3%
청년 4
 
0.9%
아이디어 4
 
0.9%
4
 
0.9%
Other values (285) 320
71.0%
2024-05-10T20:41:48.052483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
367
 
17.9%
2 99
 
4.8%
69
 
3.4%
66
 
3.2%
4 50
 
2.4%
0 46
 
2.2%
41
 
2.0%
40
 
2.0%
37
 
1.8%
36
 
1.8%
Other values (316) 1199
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1332
65.0%
Space Separator 367
 
17.9%
Decimal Number 226
 
11.0%
Uppercase Letter 82
 
4.0%
Lowercase Letter 25
 
1.2%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%
Dash Punctuation 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
69
 
5.2%
66
 
5.0%
41
 
3.1%
40
 
3.0%
37
 
2.8%
36
 
2.7%
30
 
2.3%
28
 
2.1%
28
 
2.1%
26
 
2.0%
Other values (267) 931
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 17
20.7%
K 8
 
9.8%
T 5
 
6.1%
O 5
 
6.1%
N 5
 
6.1%
R 5
 
6.1%
I 5
 
6.1%
B 4
 
4.9%
A 4
 
4.9%
G 4
 
4.9%
Other values (9) 20
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
20.0%
i 3
12.0%
n 3
12.0%
o 3
12.0%
g 2
 
8.0%
y 2
 
8.0%
w 1
 
4.0%
l 1
 
4.0%
k 1
 
4.0%
p 1
 
4.0%
Other values (3) 3
12.0%
Decimal Number
ValueCountFrequency (%)
2 99
43.8%
4 50
22.1%
0 46
20.4%
1 13
 
5.8%
5 6
 
2.7%
3 4
 
1.8%
6 2
 
0.9%
7 2
 
0.9%
8 2
 
0.9%
9 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 4
66.7%
] 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 4
66.7%
[ 2
33.3%
Space Separator
ValueCountFrequency (%)
367
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1331
64.9%
Common 611
29.8%
Latin 107
 
5.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
69
 
5.2%
66
 
5.0%
41
 
3.1%
40
 
3.0%
37
 
2.8%
36
 
2.7%
30
 
2.3%
28
 
2.1%
28
 
2.1%
26
 
2.0%
Other values (266) 930
69.9%
Latin
ValueCountFrequency (%)
S 17
 
15.9%
K 8
 
7.5%
T 5
 
4.7%
e 5
 
4.7%
O 5
 
4.7%
N 5
 
4.7%
R 5
 
4.7%
I 5
 
4.7%
B 4
 
3.7%
A 4
 
3.7%
Other values (22) 44
41.1%
Common
ValueCountFrequency (%)
367
60.1%
2 99
 
16.2%
4 50
 
8.2%
0 46
 
7.5%
1 13
 
2.1%
5 6
 
1.0%
- 4
 
0.7%
) 4
 
0.7%
( 4
 
0.7%
3 4
 
0.7%
Other values (7) 14
 
2.3%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1331
64.9%
ASCII 718
35.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
367
51.1%
2 99
 
13.8%
4 50
 
7.0%
0 46
 
6.4%
S 17
 
2.4%
1 13
 
1.8%
K 8
 
1.1%
5 6
 
0.8%
T 5
 
0.7%
e 5
 
0.7%
Other values (39) 102
 
14.2%
Hangul
ValueCountFrequency (%)
69
 
5.2%
66
 
5.0%
41
 
3.1%
40
 
3.0%
37
 
2.8%
36
 
2.7%
30
 
2.3%
28
 
2.1%
28
 
2.1%
26
 
2.0%
Other values (266) 930
69.9%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct79
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-10T20:41:48.684720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.0581395
Min length3

Characters and Unicode

Total characters607
Distinct characters163
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)84.9%

Sample

1st row한국환경산업기술원
2nd row문화체육관광부
3rd row보건복지부
4th row과천시청
5th row한국전기안전공사
ValueCountFrequency (%)
경기도청 3
 
3.1%
오픈놀 3
 
3.1%
한국언론진흥재단 2
 
2.1%
경기청년지원사업단 2
 
2.1%
한국산업인력공단 2
 
2.1%
부천시청 2
 
2.1%
보건복지부 2
 
2.1%
오산시청 2
 
2.1%
용인시청 2
 
2.1%
2
 
2.1%
Other values (75) 75
77.3%
2024-05-10T20:41:49.555295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
4.8%
28
 
4.6%
21
 
3.5%
20
 
3.3%
18
 
3.0%
15
 
2.5%
14
 
2.3%
13
 
2.1%
13
 
2.1%
13
 
2.1%
Other values (153) 423
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
93.2%
Uppercase Letter 14
 
2.3%
Space Separator 13
 
2.1%
Lowercase Letter 6
 
1.0%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
5.1%
28
 
4.9%
21
 
3.7%
20
 
3.5%
18
 
3.2%
15
 
2.7%
14
 
2.5%
13
 
2.3%
13
 
2.3%
12
 
2.1%
Other values (134) 383
67.7%
Uppercase Letter
ValueCountFrequency (%)
K 4
28.6%
B 2
14.3%
X 1
 
7.1%
F 1
 
7.1%
I 1
 
7.1%
N 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
P 1
 
7.1%
S 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
b 1
16.7%
o 1
16.7%
c 1
16.7%
k 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
93.2%
Common 21
 
3.5%
Latin 20
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
5.1%
28
 
4.9%
21
 
3.7%
20
 
3.5%
18
 
3.2%
15
 
2.7%
14
 
2.5%
13
 
2.3%
13
 
2.3%
12
 
2.1%
Other values (134) 383
67.7%
Latin
ValueCountFrequency (%)
K 4
20.0%
B 2
 
10.0%
X 1
 
5.0%
i 1
 
5.0%
b 1
 
5.0%
o 1
 
5.0%
F 1
 
5.0%
I 1
 
5.0%
N 1
 
5.0%
c 1
 
5.0%
Other values (6) 6
30.0%
Common
ValueCountFrequency (%)
13
61.9%
) 4
 
19.0%
( 4
 
19.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
93.2%
ASCII 41
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
5.1%
28
 
4.9%
21
 
3.7%
20
 
3.5%
18
 
3.2%
15
 
2.7%
14
 
2.5%
13
 
2.3%
13
 
2.3%
12
 
2.1%
Other values (134) 383
67.7%
ASCII
ValueCountFrequency (%)
13
31.7%
K 4
 
9.8%
) 4
 
9.8%
( 4
 
9.8%
B 2
 
4.9%
X 1
 
2.4%
i 1
 
2.4%
b 1
 
2.4%
o 1
 
2.4%
F 1
 
2.4%
Other values (9) 9
22.0%
Distinct40
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2023-10-31 00:00:00
Maximum2024-08-01 00:00:00
2024-05-10T20:41:49.932479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:50.291174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
Distinct26
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2024-05-10 00:00:00
Maximum2024-12-31 00:00:00
2024-05-10T20:41:50.655499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:41:51.267576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

카테고리명
Categorical

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
공모전
35 
서포터즈
33 
채용박람회ㆍ취업설명회
경진대회
봉사활동
 
3

Length

Max length11
Median length7
Mean length4.2790698
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row서포터즈
2nd row서포터즈
3rd row서포터즈
4th row서포터즈
5th row경진대회

Common Values

ValueCountFrequency (%)
공모전 35
40.7%
서포터즈 33
38.4%
채용박람회ㆍ취업설명회 8
 
9.3%
경진대회 6
 
7.0%
봉사활동 3
 
3.5%
박람회ㆍ엑스포 1
 
1.2%

Length

2024-05-10T20:41:51.735396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:52.035782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공모전 35
40.7%
서포터즈 33
38.4%
채용박람회ㆍ취업설명회 8
 
9.3%
경진대회 6
 
7.0%
봉사활동 3
 
3.5%
박람회ㆍ엑스포 1
 
1.2%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
그외 지역
86 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row그외 지역
2nd row그외 지역
3rd row그외 지역
4th row그외 지역
5th row그외 지역

Common Values

ValueCountFrequency (%)
그외 지역 86
100.0%

Length

2024-05-10T20:41:52.393292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:41:52.627147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그외 86
50.0%
지역 86
50.0%
Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-10T20:41:53.193119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length65
Mean length65
Min length65

Characters and Unicode

Total characters5590
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st rowhttps://www.jobaba.net/evtIfo/dtl2020.do?seq=46493&sn=2&cntType=O
2nd rowhttps://www.jobaba.net/evtIfo/dtl2020.do?seq=46492&sn=3&cntType=O
3rd rowhttps://www.jobaba.net/evtIfo/dtl2020.do?seq=46487&sn=2&cntType=O
4th rowhttps://www.jobaba.net/evtIfo/dtl2020.do?seq=46473&sn=1&cntType=O
5th rowhttps://www.jobaba.net/evtIfo/dtl2020.do?seq=46472&sn=3&cntType=O
ValueCountFrequency (%)
https://www.jobaba.net/evtifo/dtl2020.do?seq=46493&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46358&sn=1&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46235&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=45886&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46076&sn=1&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46329&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46293&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46318&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46422&sn=2&cnttype=o 1
 
1.2%
https://www.jobaba.net/evtifo/dtl2020.do?seq=46030&sn=1&cnttype=o 1
 
1.2%
Other values (76) 76
88.4%
2024-05-10T20:41:54.213941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 516
 
9.2%
/ 344
 
6.2%
e 344
 
6.2%
s 258
 
4.6%
w 258
 
4.6%
. 258
 
4.6%
o 258
 
4.6%
= 258
 
4.6%
n 258
 
4.6%
2 234
 
4.2%
Other values (27) 2604
46.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3268
58.5%
Other Punctuation 946
 
16.9%
Decimal Number 860
 
15.4%
Math Symbol 258
 
4.6%
Uppercase Letter 258
 
4.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 516
15.8%
e 344
10.5%
s 258
 
7.9%
w 258
 
7.9%
o 258
 
7.9%
n 258
 
7.9%
a 172
 
5.3%
p 172
 
5.3%
b 172
 
5.3%
d 172
 
5.3%
Other values (8) 688
21.1%
Decimal Number
ValueCountFrequency (%)
2 234
27.2%
0 192
22.3%
4 139
16.2%
6 107
12.4%
1 48
 
5.6%
3 37
 
4.3%
5 30
 
3.5%
8 27
 
3.1%
9 26
 
3.0%
7 20
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 344
36.4%
. 258
27.3%
& 172
18.2%
? 86
 
9.1%
: 86
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
T 86
33.3%
O 86
33.3%
I 86
33.3%
Math Symbol
ValueCountFrequency (%)
= 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3526
63.1%
Common 2064
36.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 516
14.6%
e 344
 
9.8%
s 258
 
7.3%
w 258
 
7.3%
o 258
 
7.3%
n 258
 
7.3%
a 172
 
4.9%
p 172
 
4.9%
b 172
 
4.9%
d 172
 
4.9%
Other values (11) 946
26.8%
Common
ValueCountFrequency (%)
/ 344
16.7%
. 258
12.5%
= 258
12.5%
2 234
11.3%
0 192
9.3%
& 172
8.3%
4 139
6.7%
6 107
 
5.2%
? 86
 
4.2%
: 86
 
4.2%
Other values (6) 188
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 516
 
9.2%
/ 344
 
6.2%
e 344
 
6.2%
s 258
 
4.6%
w 258
 
4.6%
. 258
 
4.6%
o 258
 
4.6%
= 258
 
4.6%
n 258
 
4.6%
2 234
 
4.2%
Other values (27) 2604
46.6%

Correlations

2024-05-10T20:41:54.495324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고명기관명모집시작일자모집종료일자카테고리명상세페이지URL(잡아바)
공고명1.0001.0001.0001.0001.0001.000
기관명1.0001.0000.9240.8060.8841.000
모집시작일자1.0000.9241.0000.7090.8551.000
모집종료일자1.0000.8060.7091.0000.7141.000
카테고리명1.0000.8840.8550.7141.0001.000
상세페이지URL(잡아바)1.0001.0001.0001.0001.0001.000

Missing values

2024-05-10T20:41:46.145720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:41:46.563939image/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

공고명기관명모집시작일자모집종료일자카테고리명지역명상세페이지URL(잡아바)
0제12기 KEITI 서포터즈 에코프렌즈 모집한국환경산업기술원2024-04-292024-05-12서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46493&sn=2&cntType=O
12024년도 문화PD 22기 모집문화체육관광부2024-04-192024-05-12서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46492&sn=3&cntType=O
22024년 보건복지부 18기 대학생 금연서포터즈 모집보건복지부2024-04-222024-05-12서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46487&sn=2&cntType=O
32024 과천시 SNS시민기자단 영상부문 추가모집과천시청2024-04-232024-05-12서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46473&sn=1&cntType=O
4제3회 전기안전 정책 경진대회한국전기안전공사2024-04-032024-05-12경진대회그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46472&sn=3&cntType=O
5뉴질랜드 취업전략 및 외식기업 SKY GROUP 설명회한국산업인력공단2024-04-162024-05-12채용박람회ㆍ취업설명회그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46363&sn=3&cntType=O
6광명업사이클아트센터 환상 서포터즈 2기 모집광명업사이클아트센터2024-04-012024-05-12서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46228&sn=1&cntType=O
72024년 광주시 지역사회보장 연차별 시행계획 이행점검 모니터링을 위한 시민 모니터링단 모집광주시청2024-05-032024-05-13서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46508&sn=4&cntType=O
82024 대한민국 대학생 광고대회(KOSAC)한국광고총연합회2024-05-072024-05-13경진대회그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46497&sn=2&cntType=O
92024 상반기 SK하이닉스 청년 Hy-Po 5기 모집sk하이닉스2024-04-232024-05-13서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46485&sn=1&cntType=O
공고명기관명모집시작일자모집종료일자카테고리명지역명상세페이지URL(잡아바)
76유네스코 국제기록유산센터 2024 ICDH 서포터즈 1기 모집유네스코 국제기록유산센터2024-04-082024-05-10서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46474&sn=1&cntType=O
772024년 안양시 공공 빅데이터 활용 및 분석 공모전안양시청2024-04-082024-05-10공모전그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46468&sn=2&cntType=O
78화성시인재육성재단 대학생 전공멘토단 모집화성시인재육성재단2024-04-292024-05-10서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46467&sn=1&cntType=O
79시흥아이꿈터 캐릭터 및 네이밍 공모전시흥도시공사2024-04-172024-05-10공모전그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46464&sn=2&cntType=O
802024 TS 교통안전 서포터즈 모집한국교통안전공단2024-04-152024-05-10서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46463&sn=1&cntType=O
812040 오산 도시기본계획 주민계획단 모집오산시청2024-04-292024-05-10서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46462&sn=1&cntType=O
822024년 부천시 규제개선 기업 시민 아이디어 공모전부천시청2024-04-152024-05-10공모전그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46461&sn=2&cntType=O
832024년 양주시 다자녀가족 사진 공모전양주시청2024-05-012024-05-10공모전그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46460&sn=1&cntType=O
842024년 하남시 시민명예기자 공개모집하남시청2024-04-292024-05-10서포터즈그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=46459&sn=2&cntType=O
85제7회 다새쓰 방정환문학 공모전한국방정환재단2023-10-312024-05-10공모전그외 지역https://www.jobaba.net/evtIfo/dtl2020.do?seq=45568&sn=1&cntType=O