Overview

Dataset statistics

Number of variables7
Number of observations90
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory57.5 B

Variable types

Text3
Categorical4

Dataset

Description경기도일자리재단_잡아바 교육훈련
Author경기도일자리재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=G9QC1RQ943JRZFP8KZUU29465169&infSeq=1

Alerts

공고명 has unique valuesUnique
상세페이지URL(잡아바) has unique valuesUnique

Reproduction

Analysis started2024-05-10 21:55:48.750458
Analysis finished2024-05-10 21:55:51.233433
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고명
Text

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-10T21:55:51.564300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length34
Mean length27.1
Min length7

Characters and Unicode

Total characters2439
Distinct characters326
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)100.0%

Sample

1st row(군포시 숙련건설기능인력 교육훈련) 인테리어 타일시공과정교육생 모집
2nd row(안산시 4차산업 융합 청년창업 지원사업) 청년창업 역량 강화 교육
3rd row(온라인)AI역량검사 교육생 모집
4th row2024 베이비부머 경기스쿨 참여자 모집
5th row2024 플랫폼 노동자 온라인 안전교육 수강이벤트(1차)
ValueCountFrequency (%)
모집 52
 
10.1%
교육생 31
 
6.0%
2024년 28
 
5.4%
양성과정 13
 
2.5%
과정 10
 
1.9%
참여자 10
 
1.9%
위한 5
 
1.0%
아카데미 5
 
1.0%
직업교육훈련 4
 
0.8%
1차 3
 
0.6%
Other values (292) 354
68.7%
2024-05-10T21:55:52.546358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
 
17.7%
2 73
 
3.0%
61
 
2.5%
59
 
2.4%
55
 
2.3%
55
 
2.3%
48
 
2.0%
45
 
1.8%
42
 
1.7%
0 41
 
1.7%
Other values (316) 1529
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1667
68.3%
Space Separator 431
 
17.7%
Decimal Number 177
 
7.3%
Uppercase Letter 57
 
2.3%
Lowercase Letter 54
 
2.2%
Open Punctuation 21
 
0.9%
Close Punctuation 21
 
0.9%
Other Punctuation 9
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
3.7%
59
 
3.5%
55
 
3.3%
55
 
3.3%
48
 
2.9%
45
 
2.7%
42
 
2.5%
39
 
2.3%
38
 
2.3%
37
 
2.2%
Other values (263) 1188
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
14.8%
t 6
11.1%
o 5
9.3%
a 4
 
7.4%
n 4
 
7.4%
i 4
 
7.4%
r 3
 
5.6%
p 3
 
5.6%
d 3
 
5.6%
m 2
 
3.7%
Other values (9) 12
22.2%
Uppercase Letter
ValueCountFrequency (%)
A 10
17.5%
I 8
14.0%
C 7
12.3%
S 6
10.5%
P 4
 
7.0%
V 3
 
5.3%
D 3
 
5.3%
T 3
 
5.3%
B 2
 
3.5%
E 2
 
3.5%
Other values (7) 9
15.8%
Decimal Number
ValueCountFrequency (%)
2 73
41.2%
0 41
23.2%
4 36
20.3%
1 15
 
8.5%
3 4
 
2.3%
5 3
 
1.7%
8 3
 
1.7%
6 1
 
0.6%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 3
33.3%
: 2
22.2%
/ 2
22.2%
& 2
22.2%
Space Separator
ValueCountFrequency (%)
431
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1667
68.3%
Common 661
 
27.1%
Latin 111
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
3.7%
59
 
3.5%
55
 
3.3%
55
 
3.3%
48
 
2.9%
45
 
2.7%
42
 
2.5%
39
 
2.3%
38
 
2.3%
37
 
2.2%
Other values (263) 1188
71.3%
Latin
ValueCountFrequency (%)
A 10
 
9.0%
I 8
 
7.2%
e 8
 
7.2%
C 7
 
6.3%
t 6
 
5.4%
S 6
 
5.4%
o 5
 
4.5%
a 4
 
3.6%
n 4
 
3.6%
i 4
 
3.6%
Other values (26) 49
44.1%
Common
ValueCountFrequency (%)
431
65.2%
2 73
 
11.0%
0 41
 
6.2%
4 36
 
5.4%
( 21
 
3.2%
) 21
 
3.2%
1 15
 
2.3%
3 4
 
0.6%
5 3
 
0.5%
, 3
 
0.5%
Other values (7) 13
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1667
68.3%
ASCII 772
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
55.8%
2 73
 
9.5%
0 41
 
5.3%
4 36
 
4.7%
( 21
 
2.7%
) 21
 
2.7%
1 15
 
1.9%
A 10
 
1.3%
I 8
 
1.0%
e 8
 
1.0%
Other values (43) 108
 
14.0%
Hangul
ValueCountFrequency (%)
61
 
3.7%
59
 
3.5%
55
 
3.3%
55
 
3.3%
48
 
2.9%
45
 
2.7%
42
 
2.5%
39
 
2.3%
38
 
2.3%
37
 
2.2%
Other values (263) 1188
71.3%
Distinct72
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-10T21:55:53.000841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length10.977778
Min length3

Characters and Unicode

Total characters988
Distinct characters189
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

Unique65 ?
Unique (%)72.2%

Sample

1st row 안양인테리어기술학원
2nd row경기TP디지털 전환허브 교육실 / 청년큐브 교육실
3rd row화성시청년취업끝까지 / 온라인
4th row용인예술과학대학교/미가형제직업전문학교/성결대학교
5th row경기도일자리재단 북부광역사업팀
ValueCountFrequency (%)
온라인 18
 
11.3%
교육 9
 
5.7%
zoom 9
 
5.7%
5
 
3.1%
경기도일자리재단 5
 
3.1%
시흥여성인력개발센터 3
 
1.9%
경기도기술학교 2
 
1.3%
교육실 2
 
1.3%
교육장 2
 
1.3%
안양인테리어기술학원 2
 
1.3%
Other values (95) 102
64.2%
2024-05-10T21:55:53.914646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
7.5%
42
 
4.3%
29
 
2.9%
27
 
2.7%
26
 
2.6%
24
 
2.4%
24
 
2.4%
21
 
2.1%
20
 
2.0%
20
 
2.0%
Other values (179) 681
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
83.2%
Space Separator 74
 
7.5%
Lowercase Letter 40
 
4.0%
Uppercase Letter 14
 
1.4%
Open Punctuation 13
 
1.3%
Close Punctuation 13
 
1.3%
Other Punctuation 9
 
0.9%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
5.1%
29
 
3.5%
27
 
3.3%
26
 
3.2%
24
 
2.9%
24
 
2.9%
21
 
2.6%
20
 
2.4%
20
 
2.4%
19
 
2.3%
Other values (157) 570
69.3%
Uppercase Letter
ValueCountFrequency (%)
T 3
21.4%
M 2
14.3%
K 2
14.3%
V 1
 
7.1%
B 1
 
7.1%
Y 1
 
7.1%
I 1
 
7.1%
G 1
 
7.1%
A 1
 
7.1%
P 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
o 20
50.0%
m 10
25.0%
z 10
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
66.7%
: 2
 
22.2%
& 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
5 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
83.2%
Common 112
 
11.3%
Latin 54
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
5.1%
29
 
3.5%
27
 
3.3%
26
 
3.2%
24
 
2.9%
24
 
2.9%
21
 
2.6%
20
 
2.4%
20
 
2.4%
19
 
2.3%
Other values (157) 570
69.3%
Latin
ValueCountFrequency (%)
o 20
37.0%
m 10
18.5%
z 10
18.5%
T 3
 
5.6%
M 2
 
3.7%
K 2
 
3.7%
V 1
 
1.9%
B 1
 
1.9%
Y 1
 
1.9%
I 1
 
1.9%
Other values (3) 3
 
5.6%
Common
ValueCountFrequency (%)
74
66.1%
( 13
 
11.6%
) 13
 
11.6%
/ 6
 
5.4%
: 2
 
1.8%
9 1
 
0.9%
5 1
 
0.9%
& 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
83.2%
ASCII 166
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
44.6%
o 20
 
12.0%
( 13
 
7.8%
) 13
 
7.8%
m 10
 
6.0%
z 10
 
6.0%
/ 6
 
3.6%
T 3
 
1.8%
: 2
 
1.2%
M 2
 
1.2%
Other values (12) 13
 
7.8%
Hangul
ValueCountFrequency (%)
42
 
5.1%
29
 
3.5%
27
 
3.3%
26
 
3.2%
24
 
2.9%
24
 
2.9%
21
 
2.6%
20
 
2.4%
20
 
2.4%
19
 
2.3%
Other values (157) 570
69.3%
Distinct38
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
<NA>
2024-04-22
2024-04-29
2024-05-02
2024-05-01
Other values (33)
55 

Length

Max length10
Median length10
Mean length9.4666667
Min length4

Unique

Unique22 ?
Unique (%)24.4%

Sample

1st row2024-05-02
2nd row2024-04-12
3rd row2024-04-08
4th row2024-04-09
5th row2024-05-07

Common Values

ValueCountFrequency (%)
<NA> 8
 
8.9%
2024-04-22 7
 
7.8%
2024-04-29 7
 
7.8%
2024-05-02 7
 
7.8%
2024-05-01 6
 
6.7%
2024-04-15 5
 
5.6%
2024-05-03 4
 
4.4%
2024-05-07 4
 
4.4%
2021-11-01 3
 
3.3%
2021-10-12 3
 
3.3%
Other values (28) 36
40.0%

Length

2024-05-10T21:55:54.434234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8
 
8.9%
2024-04-29 7
 
7.8%
2024-05-02 7
 
7.8%
2024-04-22 7
 
7.8%
2024-05-01 6
 
6.7%
2024-04-15 5
 
5.6%
2024-05-03 4
 
4.4%
2024-05-07 4
 
4.4%
2021-11-01 3
 
3.3%
2021-10-12 3
 
3.3%
Other values (28) 36
40.0%
Distinct42
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-16
2024-05-31
2024-05-17
2021-12-31
 
5
2024-05-10
 
5
Other values (37)
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique23 ?
Unique (%)25.6%

Sample

1st row2024-05-17
2nd row2024-06-11
3rd row2024-12-31
4th row2024-05-13
5th row2024-06-30

Common Values

ValueCountFrequency (%)
2024-05-16 9
 
10.0%
2024-05-31 6
 
6.7%
2024-05-17 6
 
6.7%
2021-12-31 5
 
5.6%
2024-05-10 5
 
5.6%
2024-05-14 5
 
5.6%
2024-12-31 4
 
4.4%
2024-05-24 4
 
4.4%
2024-05-20 3
 
3.3%
2024-06-02 2
 
2.2%
Other values (32) 41
45.6%

Length

2024-05-10T21:55:54.762197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-05-16 9
 
10.0%
2024-05-17 6
 
6.7%
2024-05-31 6
 
6.7%
2021-12-31 5
 
5.6%
2024-05-10 5
 
5.6%
2024-05-14 5
 
5.6%
2024-12-31 4
 
4.4%
2024-05-24 4
 
4.4%
2024-05-20 3
 
3.3%
2024-06-11 2
 
2.2%
Other values (32) 41
45.6%

카테고리명
Categorical

Distinct20
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
진로ㆍNCSㆍ취업전략ㆍ어학
11 
인문·교양·문화·예술
11 
복지·보건·의료
기계·금형·용접·정비
사무·OA·ERP
Other values (15)
42 

Length

Max length14
Median length12
Mean length10.677778
Min length5

Unique

Unique5 ?
Unique (%)5.6%

Sample

1st row건축·가구·인테리어
2nd row스타트업(창업)
3rd row진로ㆍNCSㆍ취업전략ㆍ어학
4th row인문·교양·문화·예술
5th row복지·보건·의료

Common Values

ValueCountFrequency (%)
진로ㆍNCSㆍ취업전략ㆍ어학 11
12.2%
인문·교양·문화·예술 11
12.2%
복지·보건·의료 9
10.0%
기계·금형·용접·정비 9
10.0%
사무·OA·ERP 8
8.9%
IT·SW·프로그래밍 5
 
5.6%
홍보·마케팅·영업·유통 5
 
5.6%
4차산업·빅데이터·IoT 5
 
5.6%
광고·디자인·영상 5
 
5.6%
건축·가구·인테리어 4
 
4.4%
Other values (10) 18
20.0%

Length

2024-05-10T21:55:55.103520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진로ㆍncsㆍ취업전략ㆍ어학 11
12.2%
인문·교양·문화·예술 11
12.2%
복지·보건·의료 9
10.0%
기계·금형·용접·정비 9
10.0%
사무·oa·erp 8
8.9%
it·sw·프로그래밍 5
 
5.6%
홍보·마케팅·영업·유통 5
 
5.6%
4차산업·빅데이터·iot 5
 
5.6%
광고·디자인·영상 5
 
5.6%
건축·가구·인테리어 4
 
4.4%
Other values (10) 18
20.0%

지역명
Categorical

Distinct24
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size852.0 B
그외 지역
20 
시흥시
수원시
화성시
용인시
Other values (19)
43 

Length

Max length5
Median length3
Mean length3.5333333
Min length3

Unique

Unique7 ?
Unique (%)7.8%

Sample

1st row안양시
2nd row안산시
3rd row화성시
4th row용인시
5th row의정부시

Common Values

ValueCountFrequency (%)
그외 지역 20
22.2%
시흥시 8
 
8.9%
수원시 7
 
7.8%
화성시 6
 
6.7%
용인시 6
 
6.7%
안양시 5
 
5.6%
의정부시 5
 
5.6%
파주시 5
 
5.6%
부천시 4
 
4.4%
구리시 3
 
3.3%
Other values (14) 21
23.3%

Length

2024-05-10T21:55:55.438332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
그외 20
18.2%
지역 20
18.2%
시흥시 8
 
7.3%
수원시 7
 
6.4%
화성시 6
 
5.5%
용인시 6
 
5.5%
안양시 5
 
4.5%
의정부시 5
 
4.5%
파주시 5
 
4.5%
부천시 4
 
3.6%
Other values (15) 24
21.8%
Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-10T21:55:56.051137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length61
Mean length61
Min length61

Characters and Unicode

Total characters5490
Distinct characters36
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

Unique90 ?
Unique (%)100.0%

Sample

1st rowhttps://www.jobaba.net/edutrn/dtl2020.do?seq=244658&cntType=O
2nd rowhttps://www.jobaba.net/edutrn/dtl2020.do?seq=244583&cntType=O
3rd rowhttps://www.jobaba.net/edutrn/dtl2020.do?seq=244585&cntType=O
4th rowhttps://www.jobaba.net/edutrn/dtl2020.do?seq=244609&cntType=O
5th rowhttps://www.jobaba.net/edutrn/dtl2020.do?seq=244639&cntType=O
ValueCountFrequency (%)
https://www.jobaba.net/edutrn/dtl2020.do?seq=244658&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244464&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=192504&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244646&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=203430&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244649&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244644&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244544&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=244518&cnttype=o 1
 
1.1%
https://www.jobaba.net/edutrn/dtl2020.do?seq=211355&cnttype=o 1
 
1.1%
Other values (80) 80
88.9%
2024-05-10T21:55:57.111782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 540
 
9.8%
/ 360
 
6.6%
e 360
 
6.6%
2 284
 
5.2%
d 270
 
4.9%
w 270
 
4.9%
. 270
 
4.9%
n 270
 
4.9%
0 196
 
3.6%
a 180
 
3.3%
Other values (26) 2490
45.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3330
60.7%
Other Punctuation 900
 
16.4%
Decimal Number 900
 
16.4%
Math Symbol 180
 
3.3%
Uppercase Letter 180
 
3.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 540
16.2%
e 360
10.8%
d 270
 
8.1%
w 270
 
8.1%
n 270
 
8.1%
a 180
 
5.4%
b 180
 
5.4%
o 180
 
5.4%
s 180
 
5.4%
p 180
 
5.4%
Other values (8) 720
21.6%
Decimal Number
ValueCountFrequency (%)
2 284
31.6%
0 196
21.8%
4 180
20.0%
6 69
 
7.7%
3 46
 
5.1%
5 43
 
4.8%
1 35
 
3.9%
9 19
 
2.1%
8 15
 
1.7%
7 13
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 360
40.0%
. 270
30.0%
& 90
 
10.0%
? 90
 
10.0%
: 90
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
O 90
50.0%
T 90
50.0%
Math Symbol
ValueCountFrequency (%)
= 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3510
63.9%
Common 1980
36.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 540
15.4%
e 360
 
10.3%
d 270
 
7.7%
w 270
 
7.7%
n 270
 
7.7%
a 180
 
5.1%
b 180
 
5.1%
o 180
 
5.1%
s 180
 
5.1%
p 180
 
5.1%
Other values (10) 900
25.6%
Common
ValueCountFrequency (%)
/ 360
18.2%
2 284
14.3%
. 270
13.6%
0 196
9.9%
= 180
9.1%
4 180
9.1%
& 90
 
4.5%
? 90
 
4.5%
: 90
 
4.5%
6 69
 
3.5%
Other values (6) 171
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 540
 
9.8%
/ 360
 
6.6%
e 360
 
6.6%
2 284
 
5.2%
d 270
 
4.9%
w 270
 
4.9%
. 270
 
4.9%
n 270
 
4.9%
0 196
 
3.6%
a 180
 
3.3%
Other values (26) 2490
45.4%

Correlations

2024-05-10T21:55:57.409287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고명기관명모집시작일자모집종료일자카테고리명지역명상세페이지URL(잡아바)
공고명1.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0000.9120.9710.9120.9971.000
모집시작일자1.0000.9121.0000.9550.0000.0001.000
모집종료일자1.0000.9710.9551.0000.0000.0001.000
카테고리명1.0000.9120.0000.0001.0000.7421.000
지역명1.0000.9970.0000.0000.7421.0001.000
상세페이지URL(잡아바)1.0001.0001.0001.0001.0001.0001.000
2024-05-10T21:55:57.717113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집종료일자지역명카테고리명모집시작일자
모집종료일자1.0000.0000.0000.485
지역명0.0001.0000.2820.000
카테고리명0.0000.2821.0000.000
모집시작일자0.4850.0000.0001.000
2024-05-10T21:55:58.014555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집시작일자모집종료일자카테고리명지역명
모집시작일자1.0000.4850.0000.000
모집종료일자0.4851.0000.0000.000
카테고리명0.0000.0001.0000.282
지역명0.0000.0000.2821.000

Missing values

2024-05-10T21:55:50.688665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T21:55:51.081749image/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(군포시 숙련건설기능인력 교육훈련) 인테리어 타일시공과정교육생 모집안양인테리어기술학원2024-05-022024-05-17건축·가구·인테리어안양시https://www.jobaba.net/edutrn/dtl2020.do?seq=244658&cntType=O
1(안산시 4차산업 융합 청년창업 지원사업) 청년창업 역량 강화 교육경기TP디지털 전환허브 교육실 / 청년큐브 교육실2024-04-122024-06-11스타트업(창업)안산시https://www.jobaba.net/edutrn/dtl2020.do?seq=244583&cntType=O
2(온라인)AI역량검사 교육생 모집화성시청년취업끝까지 / 온라인2024-04-082024-12-31진로ㆍNCSㆍ취업전략ㆍ어학화성시https://www.jobaba.net/edutrn/dtl2020.do?seq=244585&cntType=O
32024 베이비부머 경기스쿨 참여자 모집용인예술과학대학교/미가형제직업전문학교/성결대학교2024-04-092024-05-13인문·교양·문화·예술용인시https://www.jobaba.net/edutrn/dtl2020.do?seq=244609&cntType=O
42024 플랫폼 노동자 온라인 안전교육 수강이벤트(1차)경기도일자리재단 북부광역사업팀2024-05-072024-06-30복지·보건·의료의정부시https://www.jobaba.net/edutrn/dtl2020.do?seq=244639&cntType=O
52024 하나 파워 온 세컨드 라이프 교육생 모집온라인2024-02-192024-09-30IT·SW·프로그래밍그외 지역https://www.jobaba.net/edutrn/dtl2020.do?seq=244393&cntType=O
62024년 2030 청렴인재 아카데미서울관광재단2024-03-182024-05-24인문·교양·문화·예술그외 지역https://www.jobaba.net/edutrn/dtl2020.do?seq=244489&cntType=O
72024년 4060 맞춤형 재취업 지원사업 (스마트물류 스마트조경)한국직업능력교육원2024-04-222024-05-13홍보·마케팅·영업·유통시흥시https://www.jobaba.net/edutrn/dtl2020.do?seq=244610&cntType=O
82024년 AIoT 기술교육 교육생 모집에듀팩토리2024-04-012024-05-10IT·SW·프로그래밍부천시https://www.jobaba.net/edutrn/dtl2020.do?seq=244541&cntType=O
92024년 가구아카데미 주방시공스쿨 1차 교육생 추가 모집대진대학교2024-04-222024-05-14건축·가구·인테리어포천시https://www.jobaba.net/edutrn/dtl2020.do?seq=244618&cntType=O
공고명기관명모집시작일자모집종료일자카테고리명지역명상세페이지URL(잡아바)
80전기자동차 정비 레벨업 과정 1차 교육생 모집경기도일자리재단2024-05-082024-05-17기계·금형·용접·정비부천시https://www.jobaba.net/edutrn/dtl2020.do?seq=244655&cntType=O
81전기자동차 정비인력 양성과정 교육생 모집경기과학기술대학교 창조V관(자동차관)2024-05-032024-05-30기계·금형·용접·정비시흥시https://www.jobaba.net/edutrn/dtl2020.do?seq=244630&cntType=O
82전산세무회계 자격증 취득(전산회계1급 전산세무2급)이젠아카데미컴퓨터학원 김포2024-04-022024-06-08사무·OA·ERP김포시https://www.jobaba.net/edutrn/dtl2020.do?seq=244536&cntType=O
83지게차운전기능사(실기 포함) 자격 과정 학습자 모집서영대학교 파주캠퍼스2024-05-012024-05-31기계·금형·용접·정비파주시https://www.jobaba.net/edutrn/dtl2020.do?seq=244645&cntType=O
84출발 재미있는 영상제작경기남부능력개발본부 복합동 강의실2024-04-162024-05-16광고·디자인·영상용인시https://www.jobaba.net/edutrn/dtl2020.do?seq=244586&cntType=O
85컴퓨터그래픽스 운용기능사 국가자격증 취득과정 교육생 모집직업훈련 전문학원2024-04-222024-05-16IT·SW·프로그래밍구리시https://www.jobaba.net/edutrn/dtl2020.do?seq=244660&cntType=O
86타일시공자 입문과정 교육생 모집안양인테리어기술학원2024-04-292024-05-10건축·가구·인테리어안양시https://www.jobaba.net/edutrn/dtl2020.do?seq=244657&cntType=O
87테크마케팅 시장에서 살아남기온라인 / 주최기관 : 함께일하는재단2024-02-062024-07-314차산업·빅데이터·IoT그외 지역https://www.jobaba.net/edutrn/dtl2020.do?seq=244315&cntType=O
88핵심 실무자 역량개발 11월KMA러닝센터2021-11-012021-11-03경영·HR그외 지역https://www.jobaba.net/edutrn/dtl2020.do?seq=213638&cntType=O
89현장맞춤형 사회복지사 양성과정 교육생 모집하남여성경력이음터2024-04-182024-05-12복지·보건·의료하남시https://www.jobaba.net/edutrn/dtl2020.do?seq=244611&cntType=O