Overview

Dataset statistics

Number of variables16
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory136.4 B

Variable types

Categorical14
Text1
Numeric1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/5843eb55-6daf-474b-9b1d-6d97e3a64a21

Alerts

데이터기준일자 has constant value ""Constant
성별코드 is highly overall correlated with 창업적성검사점수 and 12 other fieldsHigh correlation
시군구명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
창업적성검사정보번호 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
직업명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
가입목표명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
적성유형명 is highly overall correlated with 창업적성검사점수 and 2 other fieldsHigh correlation
동명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
우편번호 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
창업적성검사일시 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
출생년도 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
시도명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
경력자유형명 is highly overall correlated with 창업적성검사점수 and 12 other fieldsHigh correlation
가입경로명 is highly overall correlated with 창업적성검사점수 and 11 other fieldsHigh correlation
창업적성검사점수 is highly overall correlated with 창업적성검사정보번호 and 12 other fieldsHigh correlation
적성유형정보번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:57:29.318897
Analysis finished2023-12-10 13:57:31.545039
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

창업적성검사정보번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
7717
20 
7718
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7717
2nd row7717
3rd row7717
4th row7717
5th row7717

Common Values

ValueCountFrequency (%)
7717 20
66.7%
7718 10
33.3%

Length

2023-12-10T22:57:31.646496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:31.811160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7717 20
66.7%
7718 10
33.3%

적성유형정보번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:57:32.140862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.8333333
Min length4

Characters and Unicode

Total characters295
Distinct characters13
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 rowAM06_66133
2nd rowAM08_1425559
3rd rowAM09_66133
4th rowAM07_1425559
5th rowAM05_1425559
ValueCountFrequency (%)
am06_66133 1
 
3.3%
am08_1425559 1
 
3.3%
am10 1
 
3.3%
am01 1
 
3.3%
am03 1
 
3.3%
am07_554058 1
 
3.3%
am05_554058 1
 
3.3%
am06_554058 1
 
3.3%
am01_554058 1
 
3.3%
am04 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T22:57:32.717341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 48
16.3%
0 35
11.9%
A 30
10.2%
M 30
10.2%
1 28
9.5%
_ 25
8.5%
6 23
7.8%
3 23
7.8%
4 18
 
6.1%
2 12
 
4.1%
Other values (3) 23
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
71.2%
Uppercase Letter 60
 
20.3%
Connector Punctuation 25
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 48
22.9%
0 35
16.7%
1 28
13.3%
6 23
11.0%
3 23
11.0%
4 18
 
8.6%
2 12
 
5.7%
9 12
 
5.7%
8 7
 
3.3%
7 4
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 30
50.0%
M 30
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
79.7%
Latin 60
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
5 48
20.4%
0 35
14.9%
1 28
11.9%
_ 25
10.6%
6 23
9.8%
3 23
9.8%
4 18
 
7.7%
2 12
 
5.1%
9 12
 
5.1%
8 7
 
3.0%
Latin
ValueCountFrequency (%)
A 30
50.0%
M 30
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 48
16.3%
0 35
11.9%
A 30
10.2%
M 30
10.2%
1 28
9.5%
_ 25
8.5%
6 23
7.8%
3 23
7.8%
4 18
 
6.1%
2 12
 
4.1%
Other values (3) 23
7.8%

적성유형명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
결단력
4 
인간적매력
4 
정신적건강
4 
자신감
3 
책임감
3 
Other values (5)
12 

Length

Max length5
Median length3
Mean length3.5333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자신감
2nd row승부욕
3rd row끈기
4th row결단력
5th row책임감

Common Values

ValueCountFrequency (%)
결단력 4
13.3%
인간적매력 4
13.3%
정신적건강 4
13.3%
자신감 3
10.0%
책임감 3
10.0%
창조성 3
10.0%
모험심 3
10.0%
승부욕 2
6.7%
끈기 2
6.7%
지식수준 2
6.7%

Length

2023-12-10T22:57:32.946438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:33.156704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
결단력 4
13.3%
인간적매력 4
13.3%
정신적건강 4
13.3%
자신감 3
10.0%
책임감 3
10.0%
창조성 3
10.0%
모험심 3
10.0%
승부욕 2
6.7%
끈기 2
6.7%
지식수준 2
6.7%

창업적성검사점수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.866667
Minimum4
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:57:33.357078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.9
Q17.5
median12
Q315
95-th percentile15
Maximum15
Range11
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation3.7484096
Coefficient of variation (CV)0.34494567
Kurtosis-1.2955766
Mean10.866667
Median Absolute Deviation (MAD)3
Skewness-0.29248256
Sum326
Variance14.050575
MonotonicityNot monotonic
2023-12-10T22:57:33.525010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 10
33.3%
9 6
20.0%
12 4
 
13.3%
7 4
 
13.3%
6 2
 
6.7%
13 2
 
6.7%
4 2
 
6.7%
ValueCountFrequency (%)
4 2
 
6.7%
6 2
 
6.7%
7 4
 
13.3%
9 6
20.0%
12 4
 
13.3%
13 2
 
6.7%
15 10
33.3%
ValueCountFrequency (%)
15 10
33.3%
13 2
 
6.7%
12 4
 
13.3%
9 6
20.0%
7 4
 
13.3%
6 2
 
6.7%
4 2
 
6.7%

창업적성검사일시
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2014-05-25 08:38
12 
2014-05-25 16:06
10 
2014-05-25 08:43
8 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014-05-25 08:38
2nd row2014-05-25 08:43
3rd row2014-05-25 08:38
4th row2014-05-25 08:43
5th row2014-05-25 08:38

Common Values

ValueCountFrequency (%)
2014-05-25 08:38 12
40.0%
2014-05-25 16:06 10
33.3%
2014-05-25 08:43 8
26.7%

Length

2023-12-10T22:57:33.715584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:33.891686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014-05-25 30
50.0%
08:38 12
 
20.0%
16:06 10
 
16.7%
08:43 8
 
13.3%

경력자유형명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
일반 학습자
25 
<NA>
5 

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반 학습자
2nd row일반 학습자
3rd row일반 학습자
4th row일반 학습자
5th row일반 학습자

Common Values

ValueCountFrequency (%)
일반 학습자 25
83.3%
<NA> 5
 
16.7%

Length

2023-12-10T22:57:34.089953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:34.332973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 25
45.5%
학습자 25
45.5%
na 5
 
9.1%

출생년도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1973
20 
<NA>
5 
1975
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1973
2nd row1973
3rd row1973
4th row1973
5th row1973

Common Values

ValueCountFrequency (%)
1973 20
66.7%
<NA> 5
 
16.7%
1975 5
 
16.7%

Length

2023-12-10T22:57:34.520555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:34.772978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1973 20
66.7%
na 5
 
16.7%
1975 5
 
16.7%

성별코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
M
25 
<NA>
5 

Length

Max length4
Median length1
Mean length1.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 25
83.3%
<NA> 5
 
16.7%

Length

2023-12-10T22:57:34.959800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:35.175261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 25
83.3%
na 5
 
16.7%

직업명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
공무원
10 
회사원
10 
<NA>
5 
주부
5 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공무원
2nd row회사원
3rd row공무원
4th row회사원
5th row회사원

Common Values

ValueCountFrequency (%)
공무원 10
33.3%
회사원 10
33.3%
<NA> 5
16.7%
주부 5
16.7%

Length

2023-12-10T22:57:35.389222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:35.582012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공무원 10
33.3%
회사원 10
33.3%
na 5
16.7%
주부 5
16.7%

우편번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
446755
10 
17081
10 
<NA>
5 
21543
5 

Length

Max length6
Median length5.5
Mean length5.1666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row446755
2nd row17081
3rd row446755
4th row17081
5th row17081

Common Values

ValueCountFrequency (%)
446755 10
33.3%
17081 10
33.3%
<NA> 5
16.7%
21543 5
16.7%

Length

2023-12-10T22:57:35.775259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:35.937708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
446755 10
33.3%
17081 10
33.3%
na 5
16.7%
21543 5
16.7%

시도명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기
20 
<NA>
5 
인천광역시
5 

Length

Max length5
Median length2
Mean length2.8333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 20
66.7%
<NA> 5
 
16.7%
인천광역시 5
 
16.7%

Length

2023-12-10T22:57:36.113430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:36.360584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 20
66.7%
na 5
 
16.7%
인천광역시 5
 
16.7%

시군구명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
용인시 기흥구
20 
<NA>
5 
남동구
5 

Length

Max length7
Median length7
Mean length5.8333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시 기흥구
2nd row용인시 기흥구
3rd row용인시 기흥구
4th row용인시 기흥구
5th row용인시 기흥구

Common Values

ValueCountFrequency (%)
용인시 기흥구 20
66.7%
<NA> 5
 
16.7%
남동구 5
 
16.7%

Length

2023-12-10T22:57:36.598517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:36.772383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용인시 20
40.0%
기흥구 20
40.0%
na 5
 
10.0%
남동구 5
 
10.0%

동명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
보라동
20 
<NA>
5 
만수동
5 

Length

Max length4
Median length3
Mean length3.1666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보라동 20
66.7%
<NA> 5
 
16.7%
만수동 5
 
16.7%

Length

2023-12-10T22:57:37.003254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:37.233628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보라동 20
66.7%
na 5
 
16.7%
만수동 5
 
16.7%

가입경로명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
인터넷(취업포털;검색)
20 
<NA>
5 
취업/채용박람회
5 

Length

Max length12
Median length12
Mean length10
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷(취업포털;검색)
2nd row인터넷(취업포털;검색)
3rd row인터넷(취업포털;검색)
4th row인터넷(취업포털;검색)
5th row인터넷(취업포털;검색)

Common Values

ValueCountFrequency (%)
인터넷(취업포털;검색) 20
66.7%
<NA> 5
 
16.7%
취업/채용박람회 5
 
16.7%

Length

2023-12-10T22:57:37.431954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:37.654277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷(취업포털;검색 20
66.7%
na 5
 
16.7%
취업/채용박람회 5
 
16.7%

가입목표명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
자기계발을 위해
20 
<NA>
5 
재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)
5 

Length

Max length31
Median length8
Mean length11.166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자기계발을 위해
2nd row자기계발을 위해
3rd row자기계발을 위해
4th row자기계발을 위해
5th row자기계발을 위해

Common Values

ValueCountFrequency (%)
자기계발을 위해 20
66.7%
<NA> 5
 
16.7%
재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등) 5
 
16.7%

Length

2023-12-10T22:57:37.845520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:38.004748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자기계발을 20
22.2%
위해 20
22.2%
na 5
 
5.6%
재 5
 
5.6%
취업을 5
 
5.6%
위해(육아 5
 
5.6%
가사 5
 
5.6%
등으로 5
 
5.6%
직업 5
 
5.6%
경력 5
 
5.6%
Other values (2) 10
11.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2014-05-25
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2014-05-25
2nd row2014-05-25
3rd row2014-05-25
4th row2014-05-25
5th row2014-05-25

Common Values

ValueCountFrequency (%)
2014-05-25 30
100.0%

Length

2023-12-10T22:57:38.563600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:38.744396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014-05-25 30
100.0%

Interactions

2023-12-10T22:57:30.875788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:57:38.863671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
창업적성검사정보번호적성유형정보번호적성유형명창업적성검사점수창업적성검사일시출생년도직업명우편번호시도명시군구명동명가입경로명가입목표명
창업적성검사정보번호1.0001.0000.0001.0001.0000.9791.0001.0000.9790.9790.9790.9790.979
적성유형정보번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
적성유형명0.0001.0001.0000.7800.5790.0000.0000.0000.0000.0000.0000.0000.000
창업적성검사점수1.0001.0000.7801.0000.7761.0000.6770.6771.0001.0001.0001.0001.000
창업적성검사일시1.0001.0000.5790.7761.0001.0000.9300.9301.0001.0001.0001.0001.000
출생년도0.9791.0000.0001.0001.0001.0001.0001.0000.9790.9790.9790.9790.979
직업명1.0001.0000.0000.6770.9301.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0000.0000.6770.9301.0001.0001.0001.0001.0001.0001.0001.000
시도명0.9791.0000.0001.0001.0000.9791.0001.0001.0000.9790.9790.9790.979
시군구명0.9791.0000.0001.0001.0000.9791.0001.0000.9791.0000.9790.9790.979
동명0.9791.0000.0001.0001.0000.9791.0001.0000.9790.9791.0000.9790.979
가입경로명0.9791.0000.0001.0001.0000.9791.0001.0000.9790.9790.9791.0000.979
가입목표명0.9791.0000.0001.0001.0000.9791.0001.0000.9790.9790.9790.9791.000
2023-12-10T22:57:39.147227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별코드시군구명창업적성검사정보번호직업명가입목표명적성유형명동명우편번호창업적성검사일시출생년도시도명경력자유형명가입경로명
성별코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시군구명1.0001.0000.8690.9780.8690.0000.8690.9780.9780.8690.8691.0000.869
창업적성검사정보번호1.0000.8691.0000.9780.8690.0000.8690.9780.9820.8690.8691.0000.869
직업명1.0000.9780.9781.0000.9780.0000.9781.0000.6740.9780.9781.0000.978
가입목표명1.0000.8690.8690.9781.0000.0000.8690.9780.9780.8690.8691.0000.869
적성유형명1.0000.0000.0000.0000.0001.0000.0000.0000.3510.0000.0001.0000.000
동명1.0000.8690.8690.9780.8690.0001.0000.9780.9780.8690.8691.0000.869
우편번호1.0000.9780.9781.0000.9780.0000.9781.0000.6740.9780.9781.0000.978
창업적성검사일시1.0000.9780.9820.6740.9780.3510.9780.6741.0000.9780.9781.0000.978
출생년도1.0000.8690.8690.9780.8690.0000.8690.9780.9781.0000.8691.0000.869
시도명1.0000.8690.8690.9780.8690.0000.8690.9780.9780.8691.0001.0000.869
경력자유형명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
가입경로명1.0000.8690.8690.9780.8690.0000.8690.9780.9780.8690.8691.0001.000
2023-12-10T22:57:39.474532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
창업적성검사점수창업적성검사정보번호적성유형명창업적성검사일시경력자유형명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명
창업적성검사점수1.0000.9060.5010.6591.0000.8851.0000.5220.5220.8850.8850.8850.8850.885
창업적성검사정보번호0.9061.0000.0000.9821.0000.8691.0000.9780.9780.8690.8690.8690.8690.869
적성유형명0.5010.0001.0000.3511.0000.0001.0000.0000.0000.0000.0000.0000.0000.000
창업적성검사일시0.6590.9820.3511.0001.0000.9781.0000.6740.6740.9780.9780.9780.9780.978
경력자유형명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
출생년도0.8850.8690.0000.9781.0001.0001.0000.9780.9780.8690.8690.8690.8690.869
성별코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
직업명0.5220.9780.0000.6741.0000.9781.0001.0001.0000.9780.9780.9780.9780.978
우편번호0.5220.9780.0000.6741.0000.9781.0001.0001.0000.9780.9780.9780.9780.978
시도명0.8850.8690.0000.9781.0000.8691.0000.9780.9781.0000.8690.8690.8690.869
시군구명0.8850.8690.0000.9781.0000.8691.0000.9780.9780.8691.0000.8690.8690.869
동명0.8850.8690.0000.9781.0000.8691.0000.9780.9780.8690.8691.0000.8690.869
가입경로명0.8850.8690.0000.9781.0000.8691.0000.9780.9780.8690.8690.8691.0000.869
가입목표명0.8850.8690.0000.9781.0000.8691.0000.9780.9780.8690.8690.8690.8691.000

Missing values

2023-12-10T22:57:31.075141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:57:31.435412image/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

창업적성검사정보번호적성유형정보번호적성유형명창업적성검사점수창업적성검사일시경력자유형명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명데이터기준일자
07717AM06_66133자신감92014-05-25 08:38일반 학습자1973M공무원446755경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
17717AM08_1425559승부욕92014-05-25 08:43일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
27717AM09_66133끈기152014-05-25 08:38일반 학습자1973M공무원446755경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
37717AM07_1425559결단력152014-05-25 08:43일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
47717AM05_1425559책임감152014-05-25 08:38일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
57717AM02_1425559지식수준122014-05-25 08:38일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
67717AM09_1425559끈기152014-05-25 08:38일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
77717AM03_1425559창조성152014-05-25 08:43일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
87717AM06_1425559자신감92014-05-25 08:38일반 학습자1973M회사원17081경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
97717AM08_66133승부욕92014-05-25 08:43일반 학습자1973M공무원446755경기용인시 기흥구보라동인터넷(취업포털;검색)자기계발을 위해2014-05-25
창업적성검사정보번호적성유형정보번호적성유형명창업적성검사점수창업적성검사일시경력자유형명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명데이터기준일자
207718AM07결단력62014-05-25 16:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014-05-25
217718AM04모험심72014-05-25 16:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014-05-25
227718AM01_554058정신적건강132014-05-25 16:06일반 학습자1975M주부21543인천광역시남동구만수동취업/채용박람회재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)2014-05-25
237718AM06_554058자신감72014-05-25 16:06일반 학습자1975M주부21543인천광역시남동구만수동취업/채용박람회재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)2014-05-25
247718AM05_554058책임감72014-05-25 16:06일반 학습자1975M주부21543인천광역시남동구만수동취업/채용박람회재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)2014-05-25
257718AM07_554058결단력62014-05-25 16:06일반 학습자1975M주부21543인천광역시남동구만수동취업/채용박람회재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)2014-05-25
267718AM03창조성72014-05-25 16:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014-05-25
277718AM01정신적건강132014-05-25 16:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014-05-25
287718AM10인간적매력42014-05-25 16:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014-05-25
297718AM10_554058인간적매력42014-05-25 16:06일반 학습자1975M주부21543인천광역시남동구만수동취업/채용박람회재 취업을 위해(육아; 가사 등으로 직업 경력 단절 등)2014-05-25