Overview

Dataset statistics

Number of variables17
Number of observations30
Missing cells291
Missing cells (%)57.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory142.4 B

Variable types

Text6
Categorical4
Unsupported1
DateTime5
Boolean1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/27155b74-1b06-4265-b92c-180fe98aa071

Alerts

기관명 has constant value ""Constant
컨텐츠범주대메뉴명 has constant value ""Constant
컨텐츠범주중메뉴명 has constant value ""Constant
컨텐츠노출상태명 has constant value ""Constant
컨텐츠모집상태명 has constant value ""Constant
컨텐츠수정일시 has constant value ""Constant
컨텐츠삭제여부 has constant value ""Constant
컨텐츠모집시작일자 has constant value ""Constant
컨텐츠모집시작시각 has constant value ""Constant
컨텐츠모집종료일자 has constant value ""Constant
컨텐츠모집종료시각 has constant value ""Constant
데이터기준일자 has constant value ""Constant
컨텐츠이력번호 is highly imbalanced (78.9%)Imbalance
컨텐츠내용 has 30 (100.0%) missing valuesMissing
컨텐츠범주대메뉴명 has 29 (96.7%) missing valuesMissing
컨텐츠범주중메뉴명 has 29 (96.7%) missing valuesMissing
컨텐츠모집상태명 has 29 (96.7%) missing valuesMissing
컨텐츠수정일시 has 29 (96.7%) missing valuesMissing
컨텐츠삭제여부 has 29 (96.7%) missing valuesMissing
컨텐츠모집시작일자 has 29 (96.7%) missing valuesMissing
컨텐츠모집시작시각 has 29 (96.7%) missing valuesMissing
컨텐츠모집종료일자 has 29 (96.7%) missing valuesMissing
컨텐츠모집종료시각 has 29 (96.7%) missing valuesMissing
크롤러수집정보번호 has unique valuesUnique
기관URL has unique valuesUnique
컨텐츠제목 has unique valuesUnique
컨텐츠내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 13:46:13.590206
Analysis finished2023-12-10 13:46:15.048540
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

크롤러수집정보번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:46:15.350113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1080
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row342:00689478b53138441ec286ef80a651bb
2nd row342:00e786ed084eb26af1db830636ab87d9
3rd row342:00f809da8ec06fbc81b2b8d9c1fe8f46
4th row342:01098e0b45aeb003f2e5ee68b88d35f1
5th row342:018fa3fa29663184aeb6b4cefba3df3a
ValueCountFrequency (%)
342:00689478b53138441ec286ef80a651bb 1
 
3.3%
342:00e786ed084eb26af1db830636ab87d9 1
 
3.3%
342:08a0ed73863ca4b50aba46184b17ccbd 1
 
3.3%
342:084788a03ce20a617bcbb7de326f41dd 1
 
3.3%
342:07dd7a6d354d3a9d711248640702718c 1
 
3.3%
342:078069998655f517e541e46eecaf8560 1
 
3.3%
342:074dcea9a53087a0eee7ae4492a09c5d 1
 
3.3%
342:073ab62d8a5633d4d6ef12a8ac4f2e94 1
 
3.3%
342:06d4f5e4c57bce80ce536c174a1291ef 1
 
3.3%
342:06b15ded284b6f2122ca41b8f371954c 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:46:16.345880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 91
 
8.4%
3 89
 
8.2%
0 86
 
8.0%
2 76
 
7.0%
a 74
 
6.9%
6 70
 
6.5%
1 69
 
6.4%
8 63
 
5.8%
7 61
 
5.6%
b 59
 
5.5%
Other values (7) 342
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 699
64.7%
Lowercase Letter 351
32.5%
Other Punctuation 30
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 91
13.0%
3 89
12.7%
0 86
12.3%
2 76
10.9%
6 70
10.0%
1 69
9.9%
8 63
9.0%
7 61
8.7%
9 48
6.9%
5 46
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 74
21.1%
b 59
16.8%
e 58
16.5%
c 56
16.0%
f 53
15.1%
d 51
14.5%
Other Punctuation
ValueCountFrequency (%)
: 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 729
67.5%
Latin 351
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4 91
12.5%
3 89
12.2%
0 86
11.8%
2 76
10.4%
6 70
9.6%
1 69
9.5%
8 63
8.6%
7 61
8.4%
9 48
6.6%
5 46
6.3%
Latin
ValueCountFrequency (%)
a 74
21.1%
b 59
16.8%
e 58
16.5%
c 56
16.0%
f 53
15.1%
d 51
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 91
 
8.4%
3 89
 
8.2%
0 86
 
8.0%
2 76
 
7.0%
a 74
 
6.9%
6 70
 
6.5%
1 69
 
6.4%
8 63
 
5.8%
7 61
 
5.6%
b 59
 
5.5%
Other values (7) 342
31.7%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
HRD-NET
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHRD-NET
2nd rowHRD-NET
3rd rowHRD-NET
4th rowHRD-NET
5th rowHRD-NET

Common Values

ValueCountFrequency (%)
HRD-NET 30
100.0%

Length

2023-12-10T22:46:16.655102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:16.858159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
hrd-net 30
100.0%

기관URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:46:17.437268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length135
Mean length135.1
Min length135

Characters and Unicode

Total characters4053
Distinct characters44
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000201802&tracseTme=1&crseTracseSe=undefined&trainstCstmrId=undefined
2nd rowhttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000157893&tracseTme=16&crseTracseSe=undefined&trainstCstmrId=undefined
3rd rowhttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000155202&tracseTme=4&crseTracseSe=undefined&trainstCstmrId=undefined
4th rowhttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000218374&tracseTme=7&crseTracseSe=undefined&trainstCstmrId=undefined
5th rowhttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000197874&tracseTme=7&crseTracseSe=undefined&trainstCstmrId=undefined
ValueCountFrequency (%)
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000201802&tracsetme=1&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20170000157893&tracsetme=16&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000216575&tracsetme=1&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20170000180318&tracsetme=6&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20170000158584&tracsetme=10&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000219887&tracsetme=2&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000195540&tracsetme=4&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000222112&tracsetme=2&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20170000179521&tracsetme=3&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
http://www.hrd.go.kr/hrdp/co/pcobo/pcobo0100p.do?tracseid=aig20180000217974&tracsetme=4&crsetracsese=undefined&trainstcstmrid=undefined 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:46:18.244692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 300
 
7.4%
d 270
 
6.7%
r 270
 
6.7%
0 257
 
6.3%
t 210
 
5.2%
c 180
 
4.4%
s 180
 
4.4%
/ 180
 
4.4%
o 150
 
3.7%
n 150
 
3.7%
Other values (34) 1906
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2460
60.7%
Decimal Number 573
 
14.1%
Other Punctuation 450
 
11.1%
Uppercase Letter 450
 
11.1%
Math Symbol 120
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 300
12.2%
d 270
11.0%
r 270
11.0%
t 210
 
8.5%
c 180
 
7.3%
s 180
 
7.3%
o 150
 
6.1%
n 150
 
6.1%
a 120
 
4.9%
i 90
 
3.7%
Other values (9) 540
22.0%
Decimal Number
ValueCountFrequency (%)
0 257
44.9%
1 108
18.8%
2 67
 
11.7%
8 41
 
7.2%
7 27
 
4.7%
9 20
 
3.5%
5 16
 
2.8%
4 14
 
2.4%
6 12
 
2.1%
3 11
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
I 90
20.0%
T 60
13.3%
O 60
13.3%
C 60
13.3%
P 60
13.3%
S 30
 
6.7%
B 30
 
6.7%
G 30
 
6.7%
A 30
 
6.7%
Other Punctuation
ValueCountFrequency (%)
/ 180
40.0%
. 120
26.7%
& 90
20.0%
: 30
 
6.7%
? 30
 
6.7%
Math Symbol
ValueCountFrequency (%)
= 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2910
71.8%
Common 1143
 
28.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 300
 
10.3%
d 270
 
9.3%
r 270
 
9.3%
t 210
 
7.2%
c 180
 
6.2%
s 180
 
6.2%
o 150
 
5.2%
n 150
 
5.2%
a 120
 
4.1%
I 90
 
3.1%
Other values (18) 990
34.0%
Common
ValueCountFrequency (%)
0 257
22.5%
/ 180
15.7%
. 120
10.5%
= 120
10.5%
1 108
9.4%
& 90
 
7.9%
2 67
 
5.9%
8 41
 
3.6%
: 30
 
2.6%
? 30
 
2.6%
Other values (6) 100
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4053
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 300
 
7.4%
d 270
 
6.7%
r 270
 
6.7%
0 257
 
6.3%
t 210
 
5.2%
c 180
 
4.4%
s 180
 
4.4%
/ 180
 
4.4%
o 150
 
3.7%
n 150
 
3.7%
Other values (34) 1906
47.0%

컨텐츠제목
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:46:18.531341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23.5
Mean length20.933333
Min length10

Characters and Unicode

Total characters628
Distinct characters155
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

Unique30 ?
Unique (%)100.0%

Sample

1st row시각디자이너(포토샵그래픽활용)양성과정 모집중
2nd rowCAD설계기초과정(AutoCAD) 모집중
3rd row엑셀실무활용 모집중
4th row컴퓨터활용(엑셀) 모집중
5th row컬러리스트 자격증 취득과정(실기) 모집중
ValueCountFrequency (%)
모집중 29
36.2%
취득 2
 
2.5%
디지털마케팅(블로그 1
 
1.2%
사무자동화실무(파워포인트+엑셀)재직자과정 1
 
1.2%
전산회계실무 1
 
1.2%
사무행정(엑셀;파워포인트 1
 
1.2%
컴퓨터활용능력2급 1
 
1.2%
취득(실기)향상과정 1
 
1.2%
itq자격증취득과정(한글.엑셀.파워포인트 1
 
1.2%
2d그래픽(일러스트;포토샵 1
 
1.2%
Other values (41) 41
51.2%
2023-12-10T22:46:19.034880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
8.0%
집 30
 
4.8%
모 30
 
4.8%
중 29
 
4.6%
) 25
 
4.0%
( 25
 
4.0%
기 21
 
3.3%
정 17
 
2.7%
과 15
 
2.4%
실 12
 
1.9%
Other values (145) 374
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
72.1%
Space Separator 50
 
8.0%
Uppercase Letter 42
 
6.7%
Close Punctuation 25
 
4.0%
Open Punctuation 25
 
4.0%
Other Punctuation 11
 
1.8%
Lowercase Letter 11
 
1.8%
Decimal Number 8
 
1.3%
Math Symbol 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 30
 
6.6%
모 30
 
6.6%
중 29
 
6.4%
기 21
 
4.6%
정 17
 
3.8%
과 15
 
3.3%
실 12
 
2.6%
자 11
 
2.4%
득 10
 
2.2%
취 10
 
2.2%
Other values (113) 268
59.2%
Uppercase Letter
ValueCountFrequency (%)
A 9
21.4%
D 5
11.9%
T 5
11.9%
C 5
11.9%
I 4
9.5%
R 2
 
4.8%
M 2
 
4.8%
S 2
 
4.8%
Q 2
 
4.8%
X 1
 
2.4%
Other values (5) 5
11.9%
Lowercase Letter
ValueCountFrequency (%)
o 4
36.4%
u 2
18.2%
t 2
18.2%
d 1
 
9.1%
p 1
 
9.1%
a 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
; 6
54.5%
. 2
 
18.2%
& 2
 
18.2%
/ 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
3 1
 
12.5%
1 1
 
12.5%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
72.1%
Common 122
 
19.4%
Latin 53
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 30
 
6.6%
모 30
 
6.6%
중 29
 
6.4%
기 21
 
4.6%
정 17
 
3.8%
과 15
 
3.3%
실 12
 
2.6%
자 11
 
2.4%
득 10
 
2.2%
취 10
 
2.2%
Other values (113) 268
59.2%
Latin
ValueCountFrequency (%)
A 9
17.0%
D 5
 
9.4%
T 5
 
9.4%
C 5
 
9.4%
o 4
 
7.5%
I 4
 
7.5%
R 2
 
3.8%
M 2
 
3.8%
S 2
 
3.8%
u 2
 
3.8%
Other values (11) 13
24.5%
Common
ValueCountFrequency (%)
50
41.0%
) 25
20.5%
( 25
20.5%
; 6
 
4.9%
2 6
 
4.9%
+ 3
 
2.5%
. 2
 
1.6%
& 2
 
1.6%
3 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
72.1%
ASCII 175
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
28.6%
) 25
14.3%
( 25
14.3%
A 9
 
5.1%
; 6
 
3.4%
2 6
 
3.4%
D 5
 
2.9%
T 5
 
2.9%
C 5
 
2.9%
o 4
 
2.3%
Other values (22) 35
20.0%
Hangul
ValueCountFrequency (%)
집 30
 
6.6%
모 30
 
6.6%
중 29
 
6.4%
기 21
 
4.6%
정 17
 
3.8%
과 15
 
3.3%
실 12
 
2.6%
자 11
 
2.4%
득 10
 
2.2%
취 10
 
2.2%
Other values (113) 268
59.2%

컨텐츠내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

컨텐츠이력번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
86
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29
96.7%
86 1
 
3.3%

Length

2023-12-10T22:46:19.284937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:19.434510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
86 1
 
3.3%

컨텐츠범주대메뉴명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-10T22:46:19.578309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row교육훈련
ValueCountFrequency (%)
교육훈련 1
100.0%
2023-12-10T22:46:20.093316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1
25.0%
육 1
25.0%
훈 1
25.0%
련 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1
25.0%
육 1
25.0%
훈 1
25.0%
련 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1
25.0%
육 1
25.0%
훈 1
25.0%
련 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1
25.0%
육 1
25.0%
훈 1
25.0%
련 1
25.0%

컨텐츠범주중메뉴명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-10T22:46:20.301977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters8
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row사무·OA·ERP
ValueCountFrequency (%)
사무·oa·erp 1
100.0%
2023-12-10T22:46:20.713830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 2
22.2%
사 1
11.1%
무 1
11.1%
O 1
11.1%
A 1
11.1%
E 1
11.1%
R 1
11.1%
P 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 5
55.6%
Other Punctuation 2
 
22.2%
Other Letter 2
 
22.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
A 1
20.0%
E 1
20.0%
R 1
20.0%
P 1
20.0%
Other Letter
ValueCountFrequency (%)
사 1
50.0%
무 1
50.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5
55.6%
Common 2
 
22.2%
Hangul 2
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1
20.0%
A 1
20.0%
E 1
20.0%
R 1
20.0%
P 1
20.0%
Hangul
ValueCountFrequency (%)
사 1
50.0%
무 1
50.0%
Common
ValueCountFrequency (%)
· 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
55.6%
None 2
 
22.2%
Hangul 2
 
22.2%

Most frequent character per block

None
ValueCountFrequency (%)
· 2
100.0%
Hangul
ValueCountFrequency (%)
사 1
50.0%
무 1
50.0%
ASCII
ValueCountFrequency (%)
O 1
20.0%
A 1
20.0%
E 1
20.0%
R 1
20.0%
P 1
20.0%

컨텐츠노출상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
비노출
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비노출 30
100.0%

Length

2023-12-10T22:46:20.933646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:21.090751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비노출 30
100.0%

컨텐츠모집상태명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-10T22:46:21.199677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반
ValueCountFrequency (%)
일반 1
100.0%
2023-12-10T22:46:21.638065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
50.0%
반 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
50.0%
반 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
50.0%
반 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
50.0%
반 1
50.0%

컨텐츠수정일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2019-03-28 20:19:00
Maximum2019-03-28 20:19:00
2023-12-10T22:46:21.953760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:22.129139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

컨텐츠삭제여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size192.0 B
False
 
1
(Missing)
29 
ValueCountFrequency (%)
False 1
 
3.3%
(Missing) 29
96.7%
2023-12-10T22:46:22.265538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

컨텐츠모집시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2019-03-28 00:00:00
Maximum2019-03-28 00:00:00
2023-12-10T22:46:22.468666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:22.609634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

컨텐츠모집시작시각
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2023-12-10 00:00:00
Maximum2023-12-10 00:00:00
2023-12-10T22:46:22.768747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:22.993366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

컨텐츠모집종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2019-04-01 00:00:00
Maximum2019-04-01 00:00:00
2023-12-10T22:46:23.162850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:23.333369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

컨텐츠모집종료시각
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2023-12-10 00:00:00
Maximum2023-12-10 00:00:00
2023-12-10T22:46:23.503525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:46:23.659076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-06-27
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-27
2nd row2019-06-27
3rd row2019-06-27
4th row2019-06-27
5th row2019-06-27

Common Values

ValueCountFrequency (%)
2019-06-27 30
100.0%

Length

2023-12-10T22:46:23.825229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:46:24.010027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-06-27 30
100.0%

Correlations

2023-12-10T22:46:24.113670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
크롤러수집정보번호기관URL컨텐츠제목컨텐츠이력번호
크롤러수집정보번호1.0001.0001.0001.000
기관URL1.0001.0001.0001.000
컨텐츠제목1.0001.0001.0001.000
컨텐츠이력번호1.0001.0001.0001.000

Missing values

2023-12-10T22:46:14.209160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:46:14.597637image/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.
2023-12-10T22:46:14.871361image/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

크롤러수집정보번호기관명기관URL컨텐츠제목컨텐츠내용컨텐츠이력번호컨텐츠범주대메뉴명컨텐츠범주중메뉴명컨텐츠노출상태명컨텐츠모집상태명컨텐츠수정일시컨텐츠삭제여부컨텐츠모집시작일자컨텐츠모집시작시각컨텐츠모집종료일자컨텐츠모집종료시각데이터기준일자
0342:00689478b53138441ec286ef80a651bbHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000201802&tracseTme=1&crseTracseSe=undefined&trainstCstmrId=undefined시각디자이너(포토샵그래픽활용)양성과정 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
1342:00e786ed084eb26af1db830636ab87d9HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000157893&tracseTme=16&crseTracseSe=undefined&trainstCstmrId=undefinedCAD설계기초과정(AutoCAD) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
2342:00f809da8ec06fbc81b2b8d9c1fe8f46HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000155202&tracseTme=4&crseTracseSe=undefined&trainstCstmrId=undefined엑셀실무활용 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
3342:01098e0b45aeb003f2e5ee68b88d35f1HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000218374&tracseTme=7&crseTracseSe=undefined&trainstCstmrId=undefined컴퓨터활용(엑셀) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
4342:018fa3fa29663184aeb6b4cefba3df3aHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000197874&tracseTme=7&crseTracseSe=undefined&trainstCstmrId=undefined컬러리스트 자격증 취득과정(실기) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
5342:01bc093a8f0aa8b66d936452d5904080HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000219077&tracseTme=2&crseTracseSe=undefined&trainstCstmrId=undefined제과기능사실기취득반 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
6342:01c68d6c7253c7a673eb946646ec819aHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000223139&tracseTme=3&crseTracseSe=undefined&trainstCstmrId=undefined디저트메뉴실무향상과정(마카롱과 쿠키) 모집마감<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
7342:01cc89bd23021bc47a1eaa4b5ac9e121HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000208826&tracseTme=2&crseTracseSe=undefined&trainstCstmrId=undefined전산회계(2급+1급)자격취득반 모집중<NA>86교육훈련사무·OA·ERP비노출일반2019-03-28 20:19N2019-03-2800:002019-04-0100:002019-06-27
8342:027301f858ad1b0af2046cfb689bac23HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000210375&tracseTme=2&crseTracseSe=undefined&trainstCstmrId=undefined오토캐드(AutoCAD)설계도면작성 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
9342:02a8c857f44cc4c77a437b2fcff0ad9cHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000196698&tracseTme=15&crseTracseSe=undefined&trainstCstmrId=undefined엑셀&컴활2급자격증(실기) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
크롤러수집정보번호기관명기관URL컨텐츠제목컨텐츠내용컨텐츠이력번호컨텐츠범주대메뉴명컨텐츠범주중메뉴명컨텐츠노출상태명컨텐츠모집상태명컨텐츠수정일시컨텐츠삭제여부컨텐츠모집시작일자컨텐츠모집시작시각컨텐츠모집종료일자컨텐츠모집종료시각데이터기준일자
20342:065a21c30ce0d38b6162677611411aa3HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20160000146185&tracseTme=8&crseTracseSe=undefined&trainstCstmrId=undefinedITQ자격증취득과정(한글.엑셀.파워포인트) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
21342:06b15ded284b6f2122ca41b8f371954cHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000217974&tracseTme=4&crseTracseSe=undefined&trainstCstmrId=undefined2D그래픽(일러스트;포토샵) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
22342:06d4f5e4c57bce80ce536c174a1291efHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000179521&tracseTme=3&crseTracseSe=undefined&trainstCstmrId=undefined컴퓨터활용능력2급(필기+실기) 취득 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
23342:073ab62d8a5633d4d6ef12a8ac4f2e94HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000222112&tracseTme=2&crseTracseSe=undefined&trainstCstmrId=undefined텐서플로우를 활용한 딥러닝 인공지능개발과정 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
24342:074dcea9a53087a0eee7ae4492a09c5dHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000195540&tracseTme=4&crseTracseSe=undefined&trainstCstmrId=undefinedSMAT(서비스경영)자격증 취득과정(NCS기반) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
25342:078069998655f517e541e46eecaf8560HRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000219887&tracseTme=2&crseTracseSe=undefined&trainstCstmrId=undefined실내건축설계(맥스; 3D MAX)향상과정 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
26342:07dd7a6d354d3a9d711248640702718cHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000158584&tracseTme=10&crseTracseSe=undefined&trainstCstmrId=undefined전기기기정규반 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
27342:084788a03ce20a617bcbb7de326f41ddHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20170000180318&tracseTme=6&crseTracseSe=undefined&trainstCstmrId=undefined기계요소설계 향상과정(카티아;CATIA) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
28342:08a0ed73863ca4b50aba46184b17ccbdHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000216575&tracseTme=1&crseTracseSe=undefined&trainstCstmrId=undefined사무행정양성(ITQ한글; 문서작성) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27
29342:08d9fba245393e9fb797843e9eb7c03eHRD-NEThttp://www.hrd.go.kr/hrdp/co/pcobo/PCOBO0100P.do?tracseId=AIG20180000216918&tracseTme=1&crseTracseSe=undefined&trainstCstmrId=undefined간호조무사자격취득(야간) 모집중<NA>0<NA><NA>비노출<NA><NA><NA><NA><NA><NA><NA>2019-06-27