Overview

Dataset statistics

Number of variables16
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory134.4 B

Variable types

Categorical12
Text1
Numeric2
DateTime1

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/99710505-678d-4cb8-9ecd-fa29968590b6

Alerts

회원유형명 has constant value ""Constant
시군구명 is highly overall correlated with 출생년도 and 7 other fieldsHigh correlation
동명 is highly overall correlated with 출생년도 and 8 other fieldsHigh correlation
직업명 is highly overall correlated with 출생년도 and 5 other fieldsHigh correlation
시도명 is highly overall correlated with 출생년도 and 7 other fieldsHigh correlation
성별코드 is highly overall correlated with 출생년도 and 4 other fieldsHigh correlation
출생년도 is highly overall correlated with 우편번호 and 7 other fieldsHigh correlation
우편번호 is highly overall correlated with 출생년도 and 5 other fieldsHigh correlation
설문조사번호 is highly overall correlated with 설문명 and 2 other fieldsHigh correlation
설문명 is highly overall correlated with 설문조사번호 and 4 other fieldsHigh correlation
질문명 is highly overall correlated with 설문조사번호 and 2 other fieldsHigh correlation
답변항목명 is highly overall correlated with 설문조사번호 and 2 other fieldsHigh correlation
가입경로명 is highly overall correlated with 출생년도 and 6 other fieldsHigh correlation
가입목표명 is highly overall correlated with 출생년도 and 8 other fieldsHigh correlation
설문조사답변번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:11:47.309337
Analysis finished2023-12-10 14:11:50.743753
Duration3.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설문조사번호
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
23_331_2
8 
23_332_2
8 
51_318_1
2 
23_333_1
2 
48_315_3
1 
Other values (9)
9 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique10 ?
Unique (%)33.3%

Sample

1st row48_315_3
2nd row51_316_3
3rd row51_316_4
4th row51_316_5
5th row51_317_1

Common Values

ValueCountFrequency (%)
23_331_2 8
26.7%
23_332_2 8
26.7%
51_318_1 2
 
6.7%
23_333_1 2
 
6.7%
48_315_3 1
 
3.3%
51_316_3 1
 
3.3%
51_316_4 1
 
3.3%
51_316_5 1
 
3.3%
51_317_1 1
 
3.3%
51_317_2 1
 
3.3%
Other values (4) 4
13.3%

Length

2023-12-10T23:11:50.843738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23_331_2 8
26.7%
23_332_2 8
26.7%
51_318_1 2
 
6.7%
23_333_1 2
 
6.7%
48_315_3 1
 
3.3%
51_316_3 1
 
3.3%
51_316_4 1
 
3.3%
51_316_5 1
 
3.3%
51_317_1 1
 
3.3%
51_317_2 1
 
3.3%
Other values (4) 4
13.3%

설문명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
정규과정 설문
20 
꿈날개 가을 설문
9 
꿈날개 가을 설물
 
1

Length

Max length9
Median length7
Mean length7.6666667
Min length7

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row꿈날개 가을 설물
2nd row꿈날개 가을 설문
3rd row꿈날개 가을 설문
4th row꿈날개 가을 설문
5th row꿈날개 가을 설문

Common Values

ValueCountFrequency (%)
정규과정 설문 20
66.7%
꿈날개 가을 설문 9
30.0%
꿈날개 가을 설물 1
 
3.3%

Length

2023-12-10T23:11:51.055173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:51.259275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설문 29
41.4%
정규과정 20
28.6%
꿈날개 10
 
14.3%
가을 10
 
14.3%
설물 1
 
1.4%

질문명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
본인의 수강목적에 적합한 학습내용이었습니까?
9 
평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?
9 
가을하면 떠오르는 것은?
4 
가장 좋아하는 과일은?
3 
내 남자친구였으면 하는 남자는?
3 

Length

Max length45
Median length31
Mean length24.133333
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가을하면 떠오르는 것은?
2nd row가을하면 떠오르는 것은?
3rd row가을하면 떠오르는 것은?
4th row가을하면 떠오르는 것은?
5th row가장 좋아하는 과일은?

Common Values

ValueCountFrequency (%)
본인의 수강목적에 적합한 학습내용이었습니까? 9
30.0%
평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까? 9
30.0%
가을하면 떠오르는 것은? 4
13.3%
가장 좋아하는 과일은? 3
 
10.0%
내 남자친구였으면 하는 남자는? 3
 
10.0%
운영진에 의한 학습독려(메일; 문자; 전화독려)가 학습진행에 도움이 되었습니까?| 2
 
6.7%

Length

2023-12-10T23:11:51.553100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:51.768820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본인의 9
 
6.5%
적합한 9
 
6.5%
학습내용이었습니까 9
 
6.5%
평가(퀴즈 9
 
6.5%
최종 9
 
6.5%
시험 9
 
6.5%
과제 9
 
6.5%
난이도는 9
 
6.5%
적절하였습니까 9
 
6.5%
수강목적에 9
 
6.5%
Other values (18) 49
35.3%

설문조사답변번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:11:52.268824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.866667
Min length14

Characters and Unicode

Total characters446
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
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 row1892_315_10998
2nd row1897_316_543593
3rd row1893_316_10998
4th row1896_316_479221
5th row1896_317_479221
ValueCountFrequency (%)
1892_315_10998 1
 
3.3%
1897_316_543593 1
 
3.3%
2818_333_525090 1
 
3.3%
2718_332_227154 1
 
3.3%
2716_332_227154 1
 
3.3%
2715_332_227154 1
 
3.3%
2818_332_525090 1
 
3.3%
2816_332_611839 1
 
3.3%
2717_332_227154 1
 
3.3%
2817_332_368866 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:11:53.077194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 68
15.2%
3 67
15.0%
2 61
13.7%
_ 60
13.5%
7 37
8.3%
8 35
7.8%
9 32
7.2%
0 24
 
5.4%
5 23
 
5.2%
6 20
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 386
86.5%
Connector Punctuation 60
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 68
17.6%
3 67
17.4%
2 61
15.8%
7 37
9.6%
8 35
9.1%
9 32
8.3%
0 24
 
6.2%
5 23
 
6.0%
6 20
 
5.2%
4 19
 
4.9%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 446
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 68
15.2%
3 67
15.0%
2 61
13.7%
_ 60
13.5%
7 37
8.3%
8 35
7.8%
9 32
7.2%
0 24
 
5.4%
5 23
 
5.2%
6 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 68
15.2%
3 67
15.0%
2 61
13.7%
_ 60
13.5%
7 37
8.3%
8 35
7.8%
9 32
7.2%
0 24
 
5.4%
5 23
 
5.2%
6 20
 
4.5%

답변항목명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
그렇다.
16 
매우 그렇다.
4 
트렌치 코트
2 
내생애봄날 '감우성'
2 
수능
 
1
Other values (5)
5 

Length

Max length11
Median length4
Mean length5
Min length1

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row트렌치 코트
2nd row트렌치 코트
3rd row수능
4th row아무생각없다
5th row배

Common Values

ValueCountFrequency (%)
그렇다. 16
53.3%
매우 그렇다. 4
 
13.3%
트렌치 코트 2
 
6.7%
내생애봄날 '감우성' 2
 
6.7%
수능 1
 
3.3%
아무생각없다 1
 
3.3%
배 1
 
3.3%
사과 1
 
3.3%
포도 1
 
3.3%
연애의 발견 '에릭' 1
 
3.3%

Length

2023-12-10T23:11:53.366821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:53.614927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
그렇다 20
50.0%
매우 4
 
10.0%
트렌치 2
 
5.0%
코트 2
 
5.0%
내생애봄날 2
 
5.0%
감우성 2
 
5.0%
수능 1
 
2.5%
아무생각없다 1
 
2.5%
배 1
 
2.5%
사과 1
 
2.5%
Other values (4) 4
 
10.0%

회원유형명
Categorical

CONSTANT 

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

Length

Max length6
Median length6
Mean length6
Min length6

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 30
100.0%

Length

2023-12-10T23:11:53.924091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:54.253416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 30
50.0%
학습자 30
50.0%

출생년도
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1979.2667
Minimum1974
Maximum1990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:11:54.447537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1974
5-th percentile1974
Q11974.5
median1980
Q31981
95-th percentile1986.85
Maximum1990
Range16
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.3781065
Coefficient of variation (CV)0.0022119841
Kurtosis0.54811592
Mean1979.2667
Median Absolute Deviation (MAD)2.5
Skewness0.6158041
Sum59378
Variance19.167816
MonotonicityNot monotonic
2023-12-10T23:11:54.850493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1974 8
26.7%
1980 6
20.0%
1981 6
20.0%
1982 3
 
10.0%
1976 3
 
10.0%
1990 2
 
6.7%
1983 2
 
6.7%
ValueCountFrequency (%)
1974 8
26.7%
1976 3
 
10.0%
1980 6
20.0%
1981 6
20.0%
1982 3
 
10.0%
1983 2
 
6.7%
1990 2
 
6.7%
ValueCountFrequency (%)
1990 2
 
6.7%
1983 2
 
6.7%
1982 3
 
10.0%
1981 6
20.0%
1980 6
20.0%
1976 3
 
10.0%
1974 8
26.7%

성별코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
M
22 
F
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
M 22
73.3%
F 8
 
26.7%

Length

2023-12-10T23:11:55.249799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:55.466132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 22
73.3%
f 8
 
26.7%

직업명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
기타
16 
회사원
14 

Length

Max length3
Median length2
Mean length2.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 16
53.3%
회사원 14
46.7%

Length

2023-12-10T23:11:55.656790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:55.856537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 16
53.3%
회사원 14
46.7%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122687.77
Minimum13127
Maximum401072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:11:56.034667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13127
5-th percentile14832.95
Q116922
median19460.5
Q3310626.5
95-th percentile401072
Maximum401072
Range387945
Interquartile range (IQR)293704.5

Descriptive statistics

Standard deviation170897.7
Coefficient of variation (CV)1.3929482
Kurtosis-0.82859595
Mean122687.77
Median Absolute Deviation (MAD)4438
Skewness1.1052673
Sum3680633
Variance2.9206024 × 1010
MonotonicityNot monotonic
2023-12-10T23:11:56.245992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
401072 8
26.7%
16922 6
20.0%
16918 4
13.3%
16968 3
 
10.0%
34403 3
 
10.0%
39290 2
 
6.7%
21953 2
 
6.7%
13127 2
 
6.7%
ValueCountFrequency (%)
13127 2
 
6.7%
16918 4
13.3%
16922 6
20.0%
16968 3
 
10.0%
21953 2
 
6.7%
34403 3
 
10.0%
39290 2
 
6.7%
401072 8
26.7%
ValueCountFrequency (%)
401072 8
26.7%
39290 2
 
6.7%
34403 3
 
10.0%
21953 2
 
6.7%
16968 3
 
10.0%
16922 6
20.0%
16918 4
13.3%
13127 2
 
6.7%

시도명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
9 
인천
8 
경기
6 
대전광역시
3 
경상북도
2 

Length

Max length5
Median length4
Mean length2.9333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 9
30.0%
인천 8
26.7%
경기 6
20.0%
대전광역시 3
 
10.0%
경상북도 2
 
6.7%
인천광역시 2
 
6.7%

Length

2023-12-10T23:11:56.589916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:56.811311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 9
30.0%
인천 8
26.7%
경기 6
20.0%
대전광역시 3
 
10.0%
경상북도 2
 
6.7%
인천광역시 2
 
6.7%

시군구명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
용인시 기흥구
13 
동구
8 
대덕구
3 
구미시
2 
연수구
2 

Length

Max length7
Median length5
Mean length4.7333333
Min length2

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 13
43.3%
동구 8
26.7%
대덕구 3
 
10.0%
구미시 2
 
6.7%
연수구 2
 
6.7%
성남시 수정구 2
 
6.7%

Length

2023-12-10T23:11:57.023316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:57.456247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용인시 13
28.9%
기흥구 13
28.9%
동구 8
17.8%
대덕구 3
 
6.7%
구미시 2
 
4.4%
연수구 2
 
4.4%
성남시 2
 
4.4%
수정구 2
 
4.4%

동명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
12 
마북동
6 
신갈동
3 
송촌동
3 
형곡동
2 
Other values (2)
4 

Length

Max length4
Median length3
Mean length3.4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row신갈동
3rd row<NA>
4th row마북동
5th row마북동

Common Values

ValueCountFrequency (%)
<NA> 12
40.0%
마북동 6
20.0%
신갈동 3
 
10.0%
송촌동 3
 
10.0%
형곡동 2
 
6.7%
옥련동 2
 
6.7%
산성동 2
 
6.7%

Length

2023-12-10T23:11:57.687519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:57.879030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
40.0%
마북동 6
20.0%
신갈동 3
 
10.0%
송촌동 3
 
10.0%
형곡동 2
 
6.7%
옥련동 2
 
6.7%
산성동 2
 
6.7%

가입경로명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
기타
12 
신문기사/뉴스
9 
주위권유/소개
7 
인터넷(취업포털;검색)
2 

Length

Max length12
Median length7
Mean length5.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row신문기사/뉴스
3rd row기타
4th row신문기사/뉴스
5th row신문기사/뉴스

Common Values

ValueCountFrequency (%)
기타 12
40.0%
신문기사/뉴스 9
30.0%
주위권유/소개 7
23.3%
인터넷(취업포털;검색) 2
 
6.7%

Length

2023-12-10T23:11:58.217454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:58.480256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 12
40.0%
신문기사/뉴스 9
30.0%
주위권유/소개 7
23.3%
인터넷(취업포털;검색 2
 
6.7%

가입목표명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
자기계발을 위해
13 
기타
8 
취업을 위해
7 
이직을 위해
2 

Length

Max length8
Median length6
Mean length5.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자기계발을 위해 13
43.3%
기타 8
26.7%
취업을 위해 7
23.3%
이직을 위해 2
 
6.7%

Length

2023-12-10T23:11:58.857394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:11:59.167341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위해 22
42.3%
자기계발을 13
25.0%
기타 8
 
15.4%
취업을 7
 
13.5%
이직을 2
 
3.8%

데이터기준일자
Date

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2014-10-17 00:00:00
Maximum2015-03-30 00:00:00
2023-12-10T23:11:59.320739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:59.550762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

Interactions

2023-12-10T23:11:49.752367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:49.430563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:49.910491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:11:49.594344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:11:59.721978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설문조사번호설문명질문명설문조사답변번호답변항목명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명데이터기준일자
설문조사번호1.0001.0001.0001.0001.0000.0000.3990.6780.0000.4540.0000.0000.0000.0000.666
설문명1.0001.0000.9411.0000.8560.3560.1360.0940.2470.7290.7600.8810.3260.5130.676
질문명1.0000.9411.0001.0000.8940.0000.0000.0000.5320.0000.1340.0000.0000.4690.516
설문조사답변번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
답변항목명1.0000.8560.8941.0001.0000.0000.4990.7330.4430.2860.0000.0000.0000.5890.670
출생년도0.0000.3560.0001.0000.0001.0000.6910.691NaN0.9900.9931.0000.8900.7440.637
성별코드0.3990.1360.0001.0000.4990.6911.0000.6620.2191.0000.8511.0000.6730.8030.358
직업명0.6780.0940.0001.0000.7330.6910.6621.0000.7391.0000.9181.0000.9840.8920.497
우편번호0.0000.2470.5321.0000.443NaN0.2190.7391.0001.0001.000NaN0.4561.0001.000
시도명0.4540.7290.0001.0000.2860.9901.0001.0001.0001.0000.9961.0000.9340.9420.876
시군구명0.0000.7600.1341.0000.0000.9930.8510.9181.0000.9961.0001.0000.9700.9450.897
동명0.0000.8810.0001.0000.0001.0001.0001.000NaN1.0001.0001.0001.0001.0000.919
가입경로명0.0000.3260.0001.0000.0000.8900.6730.9840.4560.9340.9701.0001.0000.8590.740
가입목표명0.0000.5130.4691.0000.5890.7440.8030.8921.0000.9420.9451.0000.8591.0000.762
데이터기준일자0.6660.6760.5161.0000.6700.6370.3580.4971.0000.8760.8970.9190.7400.7621.000
2023-12-10T23:12:00.533650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명가입경로명설문명답변항목명가입목표명동명직업명시도명성별코드설문조사번호질문명
시군구명1.0000.8500.4070.0000.8120.9610.6880.9020.6070.0000.000
가입경로명0.8501.0000.3030.0000.5140.8940.8550.7960.4530.0000.000
설문명0.4070.3031.0000.6650.5020.5930.1450.3780.2150.7700.664
답변항목명0.0000.0000.6651.0000.3320.0000.4780.0870.3100.8940.676
가입목표명0.8120.5140.5020.3321.0000.8940.6750.8070.5720.0000.298
동명0.9610.8940.5930.0000.8941.0000.8660.9610.8660.0000.000
직업명0.6880.8550.1450.4780.6750.8661.0000.9260.4600.3940.000
시도명0.9020.7960.3780.0870.8070.9610.9261.0000.9260.1490.000
성별코드0.6070.4530.2150.3100.5720.8660.4600.9261.0000.2040.000
설문조사번호0.0000.0000.7700.8940.0000.0000.3940.1490.2041.0000.816
질문명0.0000.0000.6640.6760.2980.0000.0000.0000.0000.8161.000
2023-12-10T23:12:00.866588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출생년도우편번호설문조사번호설문명질문명답변항목명성별코드직업명시도명시군구명동명가입경로명가입목표명
출생년도1.000-0.7020.0000.3780.0000.0000.7890.8200.8860.9020.9610.9010.807
우편번호-0.7021.0000.0000.3420.2690.0900.2110.4600.9260.9261.0000.6770.964
설문조사번호0.0000.0001.0000.7700.8160.8940.2040.3940.1490.0000.0000.0000.000
설문명0.3780.3420.7701.0000.6640.6650.2150.1450.3780.4070.5930.3030.502
질문명0.0000.2690.8160.6641.0000.6760.0000.0000.0000.0000.0000.0000.298
답변항목명0.0000.0900.8940.6650.6761.0000.3100.4780.0870.0000.0000.0000.332
성별코드0.7890.2110.2040.2150.0000.3101.0000.4600.9260.6070.8660.4530.572
직업명0.8200.4600.3940.1450.0000.4780.4601.0000.9260.6880.8660.8550.675
시도명0.8860.9260.1490.3780.0000.0870.9260.9261.0000.9020.9610.7960.807
시군구명0.9020.9260.0000.4070.0000.0000.6070.6880.9021.0000.9610.8500.812
동명0.9611.0000.0000.5930.0000.0000.8660.8660.9610.9611.0000.8940.894
가입경로명0.9010.6770.0000.3030.0000.0000.4530.8550.7960.8500.8941.0000.514
가입목표명0.8070.9640.0000.5020.2980.3320.5720.6750.8070.8120.8940.5141.000

Missing values

2023-12-10T23:11:50.154607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:11:50.615576image/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

설문조사번호설문명질문명설문조사답변번호답변항목명회원유형명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명데이터기준일자
048_315_3꿈날개 가을 설물가을하면 떠오르는 것은?1892_315_10998트렌치 코트일반 학습자1980F기타16918경기용인시 기흥구<NA>기타취업을 위해2014-10-17
151_316_3꿈날개 가을 설문가을하면 떠오르는 것은?1897_316_543593트렌치 코트일반 학습자1982M회사원16968경기도용인시 기흥구신갈동신문기사/뉴스취업을 위해2014-10-17
251_316_4꿈날개 가을 설문가을하면 떠오르는 것은?1893_316_10998수능일반 학습자1980F기타16918경기용인시 기흥구<NA>기타취업을 위해2014-10-17
351_316_5꿈날개 가을 설문가을하면 떠오르는 것은?1896_316_479221아무생각없다일반 학습자1981M회사원16922경기도용인시 기흥구마북동신문기사/뉴스자기계발을 위해2014-10-17
451_317_1꿈날개 가을 설문가장 좋아하는 과일은?1896_317_479221배일반 학습자1981M회사원16922경기도용인시 기흥구마북동신문기사/뉴스자기계발을 위해2014-10-17
551_317_2꿈날개 가을 설문가장 좋아하는 과일은?1897_317_543593사과일반 학습자1982M회사원16968경기도용인시 기흥구신갈동신문기사/뉴스취업을 위해2014-10-17
651_317_5꿈날개 가을 설문가장 좋아하는 과일은?1893_317_10998포도일반 학습자1980F기타16918경기용인시 기흥구<NA>기타취업을 위해2014-10-17
751_318_1꿈날개 가을 설문내 남자친구였으면 하는 남자는?1896_318_479221내생애봄날 '감우성'일반 학습자1981M회사원16922경기도용인시 기흥구마북동신문기사/뉴스자기계발을 위해2014-10-17
851_318_1꿈날개 가을 설문내 남자친구였으면 하는 남자는?1897_318_543593내생애봄날 '감우성'일반 학습자1982M회사원16968경기도용인시 기흥구신갈동신문기사/뉴스취업을 위해2014-10-17
951_318_4꿈날개 가을 설문내 남자친구였으면 하는 남자는?1893_318_10998연애의 발견 '에릭'일반 학습자1980F기타16918경기용인시 기흥구<NA>기타취업을 위해2014-10-17
설문조사번호설문명질문명설문조사답변번호답변항목명회원유형명출생년도성별코드직업명우편번호시도명시군구명동명가입경로명가입목표명데이터기준일자
2023_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2700_332_479221그렇다.일반 학습자1981M회사원16922경기도용인시 기흥구마북동신문기사/뉴스자기계발을 위해2015-03-24
2123_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2817_332_368866그렇다.일반 학습자1990F기타21953인천광역시연수구옥련동주위권유/소개이직을 위해2015-03-30
2223_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2717_332_227154그렇다.일반 학습자1974M기타401072인천동구<NA>기타기타2015-03-29
2323_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2816_332_611839그렇다.일반 학습자1983F기타13127경기성남시 수정구산성동인터넷(취업포털;검색)자기계발을 위해2015-03-30
2423_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2818_332_525090그렇다.일반 학습자1976M회사원34403대전광역시대덕구송촌동주위권유/소개자기계발을 위해2015-03-30
2523_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2715_332_227154그렇다.일반 학습자1974M기타401072인천동구<NA>기타기타2015-03-29
2623_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2716_332_227154그렇다.일반 학습자1974M기타401072인천동구<NA>기타기타2015-03-29
2723_332_2정규과정 설문평가(퀴즈; 최종 시험; 과제) 난이도는 적절하였습니까?2718_332_227154그렇다.일반 학습자1974M기타401072인천동구<NA>기타기타2015-03-29
2823_333_1정규과정 설문운영진에 의한 학습독려(메일; 문자; 전화독려)가 학습진행에 도움이 되었습니까?|2818_333_525090매우 그렇다.일반 학습자1976M회사원34403대전광역시대덕구송촌동주위권유/소개자기계발을 위해2015-03-30
2923_333_1정규과정 설문운영진에 의한 학습독려(메일; 문자; 전화독려)가 학습진행에 도움이 되었습니까?|2700_333_479221매우 그렇다.일반 학습자1981M회사원16922경기도용인시 기흥구마북동신문기사/뉴스자기계발을 위해2015-03-24