Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.4 B

Variable types

Categorical3
Text1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/a5fc9517-ecb6-4c1a-af20-9bb6aad32e59

Alerts

직업대분류명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
직업소분류명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:16:20.041597
Analysis finished2023-12-10 14:16:20.655006
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

직업대분류명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
IT분야 30
100.0%

Length

2023-12-10T23:16:20.802027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:20.956511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
it분야 30
100.0%

직업중분류명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
SW개발설계
12 
디지털컨텐츠
5 
시스템운영관리
5 
디자인
4 
SI개발설계
3 

Length

Max length7
Median length6
Mean length5.8
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row디자인
2nd row디자인
3rd rowSW개발설계
4th row디지털컨텐츠
5th rowSW개발설계

Common Values

ValueCountFrequency (%)
SW개발설계 12
40.0%
디지털컨텐츠 5
16.7%
시스템운영관리 5
16.7%
디자인 4
 
13.3%
SI개발설계 3
 
10.0%
IT기술영업원 1
 
3.3%

Length

2023-12-10T23:16:21.157417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:21.331950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sw개발설계 12
40.0%
디지털컨텐츠 5
16.7%
시스템운영관리 5
16.7%
디자인 4
 
13.3%
si개발설계 3
 
10.0%
it기술영업원 1
 
3.3%

직업소분류명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:21.689819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.7
Min length3

Characters and Unicode

Total characters231
Distinct characters108
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

Unique30 ?
Unique (%)100.0%

Sample

1st row시각디자이너
2nd rowpop광고디자이너
3rd rowERP전문가
4th row애니메이션기획자
5th row가상현실전문가
ValueCountFrequency (%)
개발자 2
 
5.3%
시각디자이너 1
 
2.6%
빅데이터 1
 
2.6%
it 1
 
2.6%
기술 1
 
2.6%
영업원 1
 
2.6%
정보시스템분석사 1
 
2.6%
디지털영상처리전문가 1
 
2.6%
편집오퍼레이터 1
 
2.6%
시스템소프트웨어엔지니어 1
 
2.6%
Other values (27) 27
71.1%
2023-12-10T23:16:22.575212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 13
 
5.6%
12
 
5.2%
전 10
 
4.3%
가 10
 
4.3%
이 8
 
3.5%
문 8
 
3.5%
디 6
 
2.6%
너 5
 
2.2%
트 5
 
2.2%
니 4
 
1.7%
Other values (98) 150
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
87.4%
Uppercase Letter 13
 
5.6%
Space Separator 12
 
5.2%
Lowercase Letter 3
 
1.3%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 13
 
6.4%
전 10
 
5.0%
가 10
 
5.0%
이 8
 
4.0%
문 8
 
4.0%
디 6
 
3.0%
너 5
 
2.5%
트 5
 
2.5%
니 4
 
2.0%
터 4
 
2.0%
Other values (85) 129
63.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
15.4%
T 2
15.4%
I 2
15.4%
R 2
15.4%
S 1
7.7%
K 1
7.7%
P 1
7.7%
E 1
7.7%
C 1
7.7%
Lowercase Letter
ValueCountFrequency (%)
p 2
66.7%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
; 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
87.4%
Latin 16
 
6.9%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 13
 
6.4%
전 10
 
5.0%
가 10
 
5.0%
이 8
 
4.0%
문 8
 
4.0%
디 6
 
3.0%
너 5
 
2.5%
트 5
 
2.5%
니 4
 
2.0%
터 4
 
2.0%
Other values (85) 129
63.9%
Latin
ValueCountFrequency (%)
M 2
12.5%
T 2
12.5%
I 2
12.5%
R 2
12.5%
p 2
12.5%
S 1
6.2%
K 1
6.2%
P 1
6.2%
E 1
6.2%
o 1
6.2%
Common
ValueCountFrequency (%)
12
92.3%
; 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
87.4%
ASCII 29
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 13
 
6.4%
전 10
 
5.0%
가 10
 
5.0%
이 8
 
4.0%
문 8
 
4.0%
디 6
 
3.0%
너 5
 
2.5%
트 5
 
2.5%
니 4
 
2.0%
터 4
 
2.0%
Other values (85) 129
63.9%
ASCII
ValueCountFrequency (%)
12
41.4%
M 2
 
6.9%
T 2
 
6.9%
I 2
 
6.9%
R 2
 
6.9%
p 2
 
6.9%
S 1
 
3.4%
; 1
 
3.4%
K 1
 
3.4%
P 1
 
3.4%
Other values (3) 3
 
10.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2014-01-17
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014-01-17
2nd row2014-01-17
3rd row2014-01-17
4th row2014-01-17
5th row2014-01-17

Common Values

ValueCountFrequency (%)
2014-01-17 30
100.0%

Length

2023-12-10T23:16:22.804759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:22.955430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014-01-17 30
100.0%

Correlations

2023-12-10T23:16:23.049532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
직업중분류명직업소분류명
직업중분류명1.0001.000
직업소분류명1.0001.000

Missing values

2023-12-10T23:16:20.358757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:20.570230image/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

직업대분류명직업중분류명직업소분류명데이터기준일자
0IT분야디자인시각디자이너2014-01-17
1IT분야디자인pop광고디자이너2014-01-17
2IT분야SW개발설계ERP전문가2014-01-17
3IT분야디지털컨텐츠애니메이션기획자2014-01-17
4IT분야SW개발설계가상현실전문가2014-01-17
5IT분야디지털컨텐츠게임기획자2014-01-17
6IT분야시스템운영관리클라우드 개발자2014-01-17
7IT분야SW개발설계배타테스터2014-01-17
8IT분야디지털컨텐츠캐릭터디자이너2014-01-17
9IT분야SW개발설계게임프로그래머2014-01-17
직업대분류명직업중분류명직업소분류명데이터기준일자
20IT분야IT기술영업원IT 기술 영업원2014-01-17
21IT분야SI개발설계정보시스템분석사2014-01-17
22IT분야디지털컨텐츠디지털영상처리전문가2014-01-17
23IT분야디자인편집오퍼레이터2014-01-17
24IT분야SW개발설계시스템소프트웨어엔지니어2014-01-17
25IT분야시스템운영관리빅데이터 분석가2014-01-17
26IT분야SW개발설계전자; 회로 설계 및 개발자2014-01-17
27IT분야시스템운영관리네트워크운영자2014-01-17
28IT분야SW개발설계웹엔지니어2014-01-17
29IT분야시스템운영관리전자상거래전문가2014-01-17