Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells179
Missing cells (%)45.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory115.4 B

Variable types

Numeric1
Categorical1
Unsupported5
Text1
Boolean2
DateTime3

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/c29a5bbf-63be-41bd-bbf5-53e5af8fbe0e

Alerts

직업정보순서 has constant value ""Constant
승인여부 has constant value ""Constant
삭제여부 has constant value ""Constant
수정일시 has constant value ""Constant
범주명 has 30 (100.0%) missing valuesMissing
상태명 has 30 (100.0%) missing valuesMissing
서문내용 has 30 (100.0%) missing valuesMissing
태그명 has 30 (100.0%) missing valuesMissing
삭제사유명 has 30 (100.0%) missing valuesMissing
수정일시 has 29 (96.7%) missing valuesMissing
직업정보번호 has unique valuesUnique
제목내용 has unique valuesUnique
등록일시 has unique valuesUnique
범주명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
서문내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
태그명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삭제사유명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:13:20.756492
Analysis finished2023-12-10 14:13:21.895975
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

직업정보번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38350.233
Minimum37874
Maximum38818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:13:22.002127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37874
5-th percentile38000.45
Q138078.5
median38362.5
Q338646.75
95-th percentile38780.2
Maximum38818
Range944
Interquartile range (IQR)568.25

Descriptive statistics

Standard deviation281.2912
Coefficient of variation (CV)0.0073347975
Kurtosis-1.1585221
Mean38350.233
Median Absolute Deviation (MAD)290
Skewness0.071279247
Sum1150507
Variance79124.737
MonotonicityStrictly increasing
2023-12-10T23:13:22.207434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37874 1
 
3.3%
38364 1
 
3.3%
38818 1
 
3.3%
38782 1
 
3.3%
38778 1
 
3.3%
38681 1
 
3.3%
38677 1
 
3.3%
38658 1
 
3.3%
38657 1
 
3.3%
38648 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
37874 1
3.3%
38000 1
3.3%
38001 1
3.3%
38002 1
3.3%
38003 1
3.3%
38004 1
3.3%
38005 1
3.3%
38059 1
3.3%
38137 1
3.3%
38219 1
3.3%
ValueCountFrequency (%)
38818 1
3.3%
38782 1
3.3%
38778 1
3.3%
38681 1
3.3%
38677 1
3.3%
38658 1
3.3%
38657 1
3.3%
38648 1
3.3%
38643 1
3.3%
38417 1
3.3%

직업정보순서
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:13:22.396915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:13:22.537796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

범주명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

서문내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제목내용
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:13:22.923568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length30.5
Mean length26.7
Min length3

Characters and Unicode

Total characters801
Distinct characters239
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
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 row[여성직장 재탐색] 코스맥스(주) 일반사무원 채용
2nd row인천 계양구;여성 희망 창업 공모전 개최
3rd row경단녀 방지 · 시간제 일자리; 추가 보완대책 내달 나온다
4th row입법조사처 '성별 임금격차 OECD 최고수준'
5th row여성가족부; 경력단절여성 취업지원 우수기관·유공자 표창
ValueCountFrequency (%)
중장년 4
 
2.3%
2014 3
 
1.7%
등 3
 
1.7%
모집 3
 
1.7%
개최 2
 
1.2%
채용박람회 2
 
1.2%
여성 2
 
1.2%
2
 
1.2%
일자리 2
 
1.2%
중 2
 
1.2%
Other values (145) 148
85.5%
2023-12-10T23:13:24.028104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
19.1%
; 12
 
1.5%
업 11
 
1.4%
용 11
 
1.4%
여 10
 
1.2%
인 10
 
1.2%
원 10
 
1.2%
채 9
 
1.1%
일 9
 
1.1%
0 9
 
1.1%
Other values (229) 557
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 547
68.3%
Space Separator 153
 
19.1%
Decimal Number 35
 
4.4%
Other Punctuation 32
 
4.0%
Open Punctuation 10
 
1.2%
Close Punctuation 10
 
1.2%
Uppercase Letter 10
 
1.2%
Initial Punctuation 2
 
0.2%
Final Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 11
 
2.0%
용 11
 
2.0%
여 10
 
1.8%
인 10
 
1.8%
원 10
 
1.8%
채 9
 
1.6%
일 9
 
1.6%
성 9
 
1.6%
정 8
 
1.5%
리 8
 
1.5%
Other values (195) 452
82.6%
Decimal Number
ValueCountFrequency (%)
0 9
25.7%
1 9
25.7%
2 7
20.0%
4 6
17.1%
5 1
 
2.9%
3 1
 
2.9%
6 1
 
2.9%
7 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
B 1
 
10.0%
A 1
 
10.0%
G 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
E 1
 
10.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
; 12
37.5%
' 8
25.0%
· 5
15.6%
… 4
 
12.5%
? 1
 
3.1%
: 1
 
3.1%
/ 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 5
50.0%
[ 4
40.0%
『 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 5
50.0%
] 4
40.0%
』 1
 
10.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
50.0%
‘ 1
50.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
50.0%
” 1
50.0%
Space Separator
ValueCountFrequency (%)
153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
68.3%
Common 244
30.5%
Latin 10
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 11
 
2.0%
용 11
 
2.0%
여 10
 
1.8%
인 10
 
1.8%
원 10
 
1.8%
채 9
 
1.6%
일 9
 
1.6%
성 9
 
1.6%
정 8
 
1.5%
리 8
 
1.5%
Other values (195) 452
82.6%
Common
ValueCountFrequency (%)
153
62.7%
; 12
 
4.9%
0 9
 
3.7%
1 9
 
3.7%
' 8
 
3.3%
2 7
 
2.9%
4 6
 
2.5%
· 5
 
2.0%
( 5
 
2.0%
) 5
 
2.0%
Other values (16) 25
 
10.2%
Latin
ValueCountFrequency (%)
C 3
30.0%
B 1
 
10.0%
A 1
 
10.0%
G 1
 
10.0%
L 1
 
10.0%
O 1
 
10.0%
E 1
 
10.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 547
68.3%
ASCII 239
29.8%
Punctuation 8
 
1.0%
None 7
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
64.0%
; 12
 
5.0%
0 9
 
3.8%
1 9
 
3.8%
' 8
 
3.3%
2 7
 
2.9%
4 6
 
2.5%
( 5
 
2.1%
) 5
 
2.1%
[ 4
 
1.7%
Other values (16) 21
 
8.8%
Hangul
ValueCountFrequency (%)
업 11
 
2.0%
용 11
 
2.0%
여 10
 
1.8%
인 10
 
1.8%
원 10
 
1.8%
채 9
 
1.6%
일 9
 
1.6%
성 9
 
1.6%
정 8
 
1.5%
리 8
 
1.5%
Other values (195) 452
82.6%
None
ValueCountFrequency (%)
· 5
71.4%
』 1
 
14.3%
『 1
 
14.3%
Punctuation
ValueCountFrequency (%)
… 4
50.0%
“ 1
 
12.5%
’ 1
 
12.5%
‘ 1
 
12.5%
” 1
 
12.5%

태그명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

승인여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:13:24.255628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:13:24.508096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

삭제사유명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등록일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2014-05-26 15:52:00
Maximum2014-06-10 23:27:00
2023-12-10T23:13:24.772580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:25.149208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

수정일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
Minimum2014-05-26 15:48:00
Maximum2014-05-26 15:48:00
2023-12-10T23:13:25.395283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:25.581915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터기준일자
Date

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2014-05-26 00:00:00
Maximum2014-06-10 00:00:00
2023-12-10T23:13:25.767061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:13:26.000660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

Interactions

2023-12-10T23:13:21.264623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:13:26.187382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
직업정보번호제목내용등록일시데이터기준일자
직업정보번호1.0001.0001.0001.000
제목내용1.0001.0001.0001.000
등록일시1.0001.0001.0001.000
데이터기준일자1.0001.0001.0001.000

Missing values

2023-12-10T23:13:21.447608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:13:21.766810image/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

직업정보번호직업정보순서범주명상태명서문내용제목내용태그명승인여부삭제여부삭제사유명등록일시수정일시데이터기준일자
0378740<NA><NA><NA>[여성직장 재탐색] 코스맥스(주) 일반사무원 채용<NA>NN<NA>2014-05-26 15:522014-05-26 15:482014-05-26
1380000<NA><NA><NA>인천 계양구;여성 희망 창업 공모전 개최<NA>NN<NA>2014-05-28 02:52<NA>2014-05-28
2380010<NA><NA><NA>경단녀 방지 · 시간제 일자리; 추가 보완대책 내달 나온다<NA>NN<NA>2014-05-28 02:54<NA>2014-05-28
3380020<NA><NA><NA>입법조사처 '성별 임금격차 OECD 최고수준'<NA>NN<NA>2014-05-28 02:55<NA>2014-05-28
4380030<NA><NA><NA>여성가족부; 경력단절여성 취업지원 우수기관·유공자 표창<NA>NN<NA>2014-05-28 02:57<NA>2014-05-28
5380040<NA><NA><NA>컨택업계 최초 재택근무제 도입…무기계약직 폐지 등 여성고용안정 공적 인정<NA>NN<NA>2014-05-28 02:58<NA>2014-05-28
6380050<NA><NA><NA>정부; 텔레마케터·콜센터 등 감정노동자 고용안정대책 마련<NA>NN<NA>2014-05-28 03:01<NA>2014-05-28
7380590<NA><NA><NA>2014 양주·동두천 일자리사랑 채용박람회<NA>NN<NA>2014-05-28 23:33<NA>2014-05-28
8381370<NA><NA><NA>공무원 지방인재 채용목표제 내년부터 7급까지 확대<NA>NN<NA>2014-05-29 12:22<NA>2014-05-29
9382190<NA><NA><NA>서울시 중장년 여성 맞춤취업 교육과정 400개 진행<NA>NN<NA>2014-05-30 08:36<NA>2014-05-30
직업정보번호직업정보순서범주명상태명서문내용제목내용태그명승인여부삭제여부삭제사유명등록일시수정일시데이터기준일자
20384170<NA><NA><NA>[하남]구인구직만남의 날<NA>NN<NA>2014-06-03 15:21<NA>2014-06-03
21386430<NA><NA><NA>수원 [2014 경기남부권 시간선택제 일자리 채용박람회] 개최<NA>NN<NA>2014-06-09 02:10<NA>2014-06-09
22386480<NA><NA><NA>경기도; 평생학습 대학생 코치 120명 모집<NA>NN<NA>2014-06-09 02:27<NA>2014-06-09
23386570<NA><NA><NA>BCCA승무원학원; 비엣젯항공 승무원 특별채용면접<NA>NN<NA>2014-06-09 03:50<NA>2014-06-09
24386580<NA><NA><NA>한국중부발전; 하반기 고졸 신입직원 채용<NA>NN<NA>2014-06-09 03:52<NA>2014-06-09
25386770<NA><NA><NA>국가장학금 신청; 10일부터 접수시작<NA>NN<NA>2014-06-09 07:30<NA>2014-06-09
26386810<NA><NA><NA>[강남구] 2014 중장년 취업페스티벌 기업참가안내 / 모집마감 : (2차마감) 6월 13일(금)까지<NA>NN<NA>2014-06-09 07:59<NA>2014-06-09
27387780<NA><NA><NA>여성 2명 중 1명 “시간선택제 일자리가 뭔가요?”<NA>NN<NA>2014-06-10 09:12<NA>2014-06-10
28387820<NA><NA><NA>기혼여성 10명 중 4명은 ‘전업’… 결혼·육아 등으로 경력단절<NA>NN<NA>2014-06-10 09:43<NA>2014-06-10
29388180<NA><NA><NA>여름철 건강 관리정보로 안부 인사 전하세요<NA>NN<NA>2014-06-10 23:27<NA>2014-06-10