Overview

Dataset statistics

Number of variables7
Number of observations315
Missing cells79
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory56.4 B

Variable types

Text3
DateTime1
Categorical3

Dataset

Description경기도 내 일자리 관련 지원정책 정보
Author경기도일자리재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=C3R46QAIB3ZHGXG2TDOQ29456117&infSeq=1

Alerts

지역명 has constant value ""Constant
모집시작일자 has 79 (25.1%) missing valuesMissing
공고명 has unique valuesUnique
상세페이지URL(잡아바) has unique valuesUnique

Reproduction

Analysis started2024-05-17 19:23:52.189816
Analysis finished2024-05-17 19:23:54.017598
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고명
Text

UNIQUE 

Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-18T04:23:54.378309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length23.228571
Min length6

Characters and Unicode

Total characters7317
Distinct characters425
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)100.0%

Sample

1st row[경기도] 1인가구 병원 안심동행
2nd row재직자 직무 역량강화 멘토링 참여자 모집
3rd row인사노무 전문가 컨설팅 참여기업 모집
4th row청년월세 특별지원 2차
5th row2024년 희망디딤돌 경기센터 자립생활실 입주자 모집
ValueCountFrequency (%)
모집 87
 
5.7%
청년 47
 
3.1%
지원사업 43
 
2.8%
참여자 39
 
2.5%
지원 34
 
2.2%
경기도 34
 
2.2%
2024년 33
 
2.1%
사업 31
 
2.0%
면접정장 15
 
1.0%
하남시 14
 
0.9%
Other values (688) 1161
75.5%
2024-05-18T04:23:55.368334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1225
 
16.7%
[ 213
 
2.9%
] 213
 
2.9%
199
 
2.7%
195
 
2.7%
173
 
2.4%
168
 
2.3%
156
 
2.1%
155
 
2.1%
151
 
2.1%
Other values (415) 4469
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5226
71.4%
Space Separator 1225
 
16.7%
Open Punctuation 267
 
3.6%
Close Punctuation 267
 
3.6%
Decimal Number 231
 
3.2%
Uppercase Letter 55
 
0.8%
Lowercase Letter 31
 
0.4%
Other Punctuation 14
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
199
 
3.8%
195
 
3.7%
173
 
3.3%
168
 
3.2%
156
 
3.0%
155
 
3.0%
151
 
2.9%
144
 
2.8%
136
 
2.6%
99
 
1.9%
Other values (363) 3650
69.8%
Uppercase Letter
ValueCountFrequency (%)
O 6
 
10.9%
A 5
 
9.1%
G 5
 
9.1%
I 4
 
7.3%
E 4
 
7.3%
C 4
 
7.3%
T 3
 
5.5%
J 3
 
5.5%
N 3
 
5.5%
D 3
 
5.5%
Other values (11) 15
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
22.6%
r 4
12.9%
o 4
12.9%
a 3
9.7%
m 3
9.7%
t 2
 
6.5%
h 2
 
6.5%
b 1
 
3.2%
n 1
 
3.2%
i 1
 
3.2%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
2 98
42.4%
0 46
19.9%
4 45
19.5%
1 26
 
11.3%
5 12
 
5.2%
3 2
 
0.9%
6 1
 
0.4%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 7
50.0%
, 4
28.6%
& 2
 
14.3%
. 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
[ 213
79.8%
( 54
 
20.2%
Close Punctuation
ValueCountFrequency (%)
] 213
79.8%
) 54
 
20.2%
Space Separator
ValueCountFrequency (%)
1225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5226
71.4%
Common 2005
 
27.4%
Latin 86
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
199
 
3.8%
195
 
3.7%
173
 
3.3%
168
 
3.2%
156
 
3.0%
155
 
3.0%
151
 
2.9%
144
 
2.8%
136
 
2.6%
99
 
1.9%
Other values (363) 3650
69.8%
Latin
ValueCountFrequency (%)
e 7
 
8.1%
O 6
 
7.0%
A 5
 
5.8%
G 5
 
5.8%
r 4
 
4.7%
o 4
 
4.7%
I 4
 
4.7%
E 4
 
4.7%
C 4
 
4.7%
T 3
 
3.5%
Other values (24) 40
46.5%
Common
ValueCountFrequency (%)
1225
61.1%
[ 213
 
10.6%
] 213
 
10.6%
2 98
 
4.9%
) 54
 
2.7%
( 54
 
2.7%
0 46
 
2.3%
4 45
 
2.2%
1 26
 
1.3%
5 12
 
0.6%
Other values (8) 19
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5220
71.3%
ASCII 2091
28.6%
Compat Jamo 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1225
58.6%
[ 213
 
10.2%
] 213
 
10.2%
2 98
 
4.7%
) 54
 
2.6%
( 54
 
2.6%
0 46
 
2.2%
4 45
 
2.2%
1 26
 
1.2%
5 12
 
0.6%
Other values (42) 105
 
5.0%
Hangul
ValueCountFrequency (%)
199
 
3.8%
195
 
3.7%
173
 
3.3%
168
 
3.2%
156
 
3.0%
155
 
3.0%
151
 
2.9%
144
 
2.8%
136
 
2.6%
99
 
1.9%
Other values (362) 3644
69.8%
Compat Jamo
ValueCountFrequency (%)
6
100.0%
Distinct151
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-18T04:23:55.787699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length6.9015873
Min length3

Characters and Unicode

Total characters2174
Distinct characters194
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)28.3%

Sample

1st row경기도청
2nd row안양여성인력개발센터
3rd row안양여성인력개발센터
4th row국토교통부
5th row경기도자립지원전담기관
ValueCountFrequency (%)
경기도청 16
 
4.5%
경기도일자리재단 11
 
3.1%
고용노동부 11
 
3.1%
하남시청 10
 
2.8%
광명시청 10
 
2.8%
안성시청 9
 
2.5%
안양시청 9
 
2.5%
용인시청 7
 
2.0%
청취다방 7
 
2.0%
성남시청 6
 
1.7%
Other values (161) 261
73.1%
2024-05-18T04:23:56.594194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
7.8%
162
 
7.5%
72
 
3.3%
62
 
2.9%
56
 
2.6%
56
 
2.6%
48
 
2.2%
48
 
2.2%
45
 
2.1%
44
 
2.0%
Other values (184) 1411
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2103
96.7%
Space Separator 42
 
1.9%
Uppercase Letter 11
 
0.5%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
170
 
8.1%
162
 
7.7%
72
 
3.4%
62
 
2.9%
56
 
2.7%
56
 
2.7%
48
 
2.3%
48
 
2.3%
45
 
2.1%
44
 
2.1%
Other values (174) 1340
63.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
B 2
18.2%
A 2
18.2%
L 2
18.2%
G 1
9.1%
S 1
9.1%
K 1
9.1%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2103
96.7%
Common 60
 
2.8%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
170
 
8.1%
162
 
7.7%
72
 
3.4%
62
 
2.9%
56
 
2.7%
56
 
2.7%
48
 
2.3%
48
 
2.3%
45
 
2.1%
44
 
2.1%
Other values (174) 1340
63.7%
Latin
ValueCountFrequency (%)
E 2
18.2%
B 2
18.2%
A 2
18.2%
L 2
18.2%
G 1
9.1%
S 1
9.1%
K 1
9.1%
Common
ValueCountFrequency (%)
42
70.0%
) 9
 
15.0%
( 9
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2103
96.7%
ASCII 71
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
170
 
8.1%
162
 
7.7%
72
 
3.4%
62
 
2.9%
56
 
2.7%
56
 
2.7%
48
 
2.3%
48
 
2.3%
45
 
2.1%
44
 
2.1%
Other values (174) 1340
63.7%
ASCII
ValueCountFrequency (%)
42
59.2%
) 9
 
12.7%
( 9
 
12.7%
E 2
 
2.8%
B 2
 
2.8%
A 2
 
2.8%
L 2
 
2.8%
G 1
 
1.4%
S 1
 
1.4%
K 1
 
1.4%

모집시작일자
Date

MISSING 

Distinct71
Distinct (%)30.1%
Missing79
Missing (%)25.1%
Memory size2.6 KiB
Minimum2022-07-06 00:00:00
Maximum2024-07-22 00:00:00
2024-05-18T04:23:56.957931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:23:57.401573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct46
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-12-31
166 
2024-05-31
18 
2024-05-24
 
13
2024-11-30
 
12
2024-12-20
 
11
Other values (41)
95 

Length

Max length10
Median length10
Mean length9.9809524
Min length4

Unique

Unique24 ?
Unique (%)7.6%

Sample

1st row2024-12-31
2nd row2024-12-31
3rd row2024-12-31
4th row2025-02-26
5th row2024-12-05

Common Values

ValueCountFrequency (%)
2024-12-31 166
52.7%
2024-05-31 18
 
5.7%
2024-05-24 13
 
4.1%
2024-11-30 12
 
3.8%
2024-12-20 11
 
3.5%
2024-05-21 11
 
3.5%
2024-05-17 9
 
2.9%
2024-05-20 7
 
2.2%
2024-05-23 6
 
1.9%
2024-05-27 5
 
1.6%
Other values (36) 57
 
18.1%

Length

2024-05-18T04:23:57.840379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-12-31 166
52.7%
2024-05-31 18
 
5.7%
2024-05-24 13
 
4.1%
2024-11-30 12
 
3.8%
2024-12-20 11
 
3.5%
2024-05-21 11
 
3.5%
2024-05-17 9
 
2.9%
2024-05-20 7
 
2.2%
2024-05-23 6
 
1.9%
2024-12-13 5
 
1.6%
Other values (36) 57
 
18.1%

카테고리명
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
구직활동
127 
생활지원
126 
기업지원
36 
주거지원
15 
재직지원
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활지원
2nd row기업지원
3rd row기업지원
4th row생활지원
5th row주거지원

Common Values

ValueCountFrequency (%)
구직활동 127
40.3%
생활지원 126
40.0%
기업지원 36
 
11.4%
주거지원 15
 
4.8%
재직지원 11
 
3.5%

Length

2024-05-18T04:23:58.258714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:23:58.636307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구직활동 127
40.3%
생활지원 126
40.0%
기업지원 36
 
11.4%
주거지원 15
 
4.8%
재직지원 11
 
3.5%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
그외 지역
315 

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 315
100.0%

Length

2024-05-18T04:23:59.012380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:23:59.340890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그외 315
50.0%
지역 315
50.0%
Distinct315
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-18T04:24:00.023418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length67.993651
Min length67

Characters and Unicode

Total characters21418
Distinct characters39
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

Unique315 ?
Unique (%)100.0%

Sample

1st rowhttps://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12456&cntType=O
2nd rowhttps://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12435&cntType=O
3rd rowhttps://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12434&cntType=O
4th rowhttps://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12431&cntType=O
5th rowhttps://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12410&cntType=O
ValueCountFrequency (%)
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12456&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12074&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12055&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12056&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12057&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12058&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12063&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12068&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12037&cnttype=o 1
 
0.3%
https://www.jobaba.net/sprtplcy/info/view2020.do?seq=12075&cnttype=o 1
 
0.3%
Other values (305) 305
96.8%
2024-05-18T04:24:01.294425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1575
 
7.4%
t 1575
 
7.4%
e 1260
 
5.9%
w 1260
 
5.9%
n 945
 
4.4%
p 945
 
4.4%
s 945
 
4.4%
. 945
 
4.4%
o 945
 
4.4%
2 942
 
4.4%
Other values (29) 10081
47.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13545
63.2%
Other Punctuation 3465
 
16.2%
Decimal Number 2833
 
13.2%
Uppercase Letter 945
 
4.4%
Math Symbol 630
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1575
11.6%
e 1260
 
9.3%
w 1260
 
9.3%
n 945
 
7.0%
p 945
 
7.0%
s 945
 
7.0%
o 945
 
7.0%
a 630
 
4.7%
b 630
 
4.7%
c 630
 
4.7%
Other values (10) 3780
27.9%
Decimal Number
ValueCountFrequency (%)
2 942
33.3%
0 794
28.0%
1 421
14.9%
3 162
 
5.7%
9 96
 
3.4%
5 92
 
3.2%
4 87
 
3.1%
8 87
 
3.1%
6 78
 
2.8%
7 74
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 1575
45.5%
. 945
27.3%
& 315
 
9.1%
? 315
 
9.1%
: 315
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
T 315
33.3%
O 315
33.3%
P 315
33.3%
Math Symbol
ValueCountFrequency (%)
= 630
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14490
67.7%
Common 6928
32.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1575
 
10.9%
e 1260
 
8.7%
w 1260
 
8.7%
n 945
 
6.5%
p 945
 
6.5%
s 945
 
6.5%
o 945
 
6.5%
a 630
 
4.3%
b 630
 
4.3%
c 630
 
4.3%
Other values (13) 4725
32.6%
Common
ValueCountFrequency (%)
/ 1575
22.7%
. 945
13.6%
2 942
13.6%
0 794
11.5%
= 630
 
9.1%
1 421
 
6.1%
& 315
 
4.5%
? 315
 
4.5%
: 315
 
4.5%
3 162
 
2.3%
Other values (6) 514
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1575
 
7.4%
t 1575
 
7.4%
e 1260
 
5.9%
w 1260
 
5.9%
n 945
 
4.4%
p 945
 
4.4%
s 945
 
4.4%
. 945
 
4.4%
o 945
 
4.4%
2 942
 
4.4%
Other values (29) 10081
47.1%

Correlations

2024-05-18T04:24:01.508050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집시작일자모집종료일자카테고리명
모집시작일자1.0000.9060.481
모집종료일자0.9061.0000.108
카테고리명0.4810.1081.000
2024-05-18T04:24:01.714900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카테고리명모집종료일자
카테고리명1.0000.038
모집종료일자0.0381.000
2024-05-18T04:24:01.930469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집종료일자카테고리명
모집종료일자1.0000.038
카테고리명0.0381.000

Missing values

2024-05-18T04:23:53.463485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T04:23:53.866124image/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)
0[경기도] 1인가구 병원 안심동행경기도청<NA>2024-12-31생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12456&cntType=O
1재직자 직무 역량강화 멘토링 참여자 모집안양여성인력개발센터2024-01-012024-12-31기업지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12435&cntType=O
2인사노무 전문가 컨설팅 참여기업 모집안양여성인력개발센터2024-01-012024-12-31기업지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12434&cntType=O
3청년월세 특별지원 2차국토교통부2024-02-262025-02-26생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12431&cntType=O
42024년 희망디딤돌 경기센터 자립생활실 입주자 모집경기도자립지원전담기관2024-02-162024-12-05주거지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12410&cntType=O
5[가평군] 장년일자리사업 참여자 모집가평군청2024-05-152024-05-22구직활동그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=13070&cntType=O
6[경기도] 1인 소상공인 고용보험료 지원사업경기도시장상권진흥원2024-05-012024-07-10기업지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=13069&cntType=O
7자립준비청년 자립시 꽃길로 지원대한적십자사2024-05-142024-05-21생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=13068&cntType=O
8[수원시] 자립준비청년 셰어하우스 CON 입주자 추가 모집수원시청2024-05-202024-12-31주거지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=13067&cntType=O
92024년 원어민과 함께하는 워홀 챌린지 과정 3,4기경기도평생교육진흥원2024-07-222024-07-31구직활동그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=13066&cntType=O
공고명기관명모집시작일자모집종료일자카테고리명지역명상세페이지URL(잡아바)
305[경기도] 노동자 작업복 세탁소 (블루밍 세탁소)경기도청2024-03-062024-12-31재직지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12561&cntType=O
306가족친화경영 기업교육 및 일타컨설팅 참여기업 모집경기도일자리재단 경기광역새일센터2024-03-012024-10-28기업지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12403&cntType=O
307의왕새일센터 집단상담프로그램 희망 JOB GO 새일 JOB GO의왕시청<NA>2024-10-24구직활동그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12396&cntType=O
308[수원시] 온가족보듬사업수원시청<NA>2024-12-31생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12395&cntType=O
309[안산시] 경력단절예방 지원사업 심리고충상담 참여자 모집안산여성인력개발센터2024-02-012024-09-30생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12392&cntType=O
310[안산시] 청년도전지원사업 참여자 모집안산시청2024-01-012024-12-31구직활동그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12387&cntType=O
311[양주시] 워라밸상담 (노무상담&마음상담)양주시여성일생활균형지원센터<NA>2024-12-31생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12386&cntType=O
312[안양시] 청년 이사비 지원사업안양시청2024-02-202024-05-31생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12382&cntType=O
313위기미혼모자 긴급지원 사업 참여자 모집홀트아동복지회<NA>2024-12-31생활지원그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12377&cntType=O
314[안산시] 결혼이민여성 취업지원 프로그램안산여성인력개발센터2024-01-232024-09-01구직활동그외 지역https://www.jobaba.net/sprtPlcy/info/view2020.do?seq=12376&cntType=O