Overview

Dataset statistics

Number of variables5
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Categorical2
Text1
DateTime1

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 설문과 관련된 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15090907/fileData.do

Alerts

기관 아이디 has constant value ""Constant
아이디 has unique valuesUnique
등록 일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:48:26.642129
Analysis finished2023-12-12 17:48:27.191229
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.48062
Minimum2
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T02:48:27.320226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14.8
Q1120
median193
Q3304
95-th percentile399.4
Maximum424
Range422
Interquartile range (IQR)184

Descriptive statistics

Standard deviation118.61447
Coefficient of variation (CV)0.57445812
Kurtosis-0.98444087
Mean206.48062
Median Absolute Deviation (MAD)90
Skewness0.038594748
Sum26636
Variance14069.392
MonotonicityStrictly increasing
2023-12-13T02:48:27.515613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
0.8%
307 1
 
0.8%
298 1
 
0.8%
295 1
 
0.8%
292 1
 
0.8%
289 1
 
0.8%
285 1
 
0.8%
280 1
 
0.8%
277 1
 
0.8%
274 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
2 1
0.8%
5 1
0.8%
6 1
0.8%
9 1
0.8%
10 1
0.8%
11 1
0.8%
14 1
0.8%
16 1
0.8%
18 1
0.8%
21 1
0.8%
ValueCountFrequency (%)
424 1
0.8%
421 1
0.8%
415 1
0.8%
412 1
0.8%
409 1
0.8%
406 1
0.8%
401 1
0.8%
397 1
0.8%
393 1
0.8%
389 1
0.8%

기관 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
129 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 129
100.0%

Length

2023-12-13T02:48:27.687949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:27.808754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 129
100.0%

제목
Text

Distinct121
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T02:48:28.054408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length35
Mean length24.015504
Min length1

Characters and Unicode

Total characters3098
Distinct characters286
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)89.1%

Sample

1st row라이브세미나로 배우는 Solidworks Skill Up [사전설문] - 전 문항 필수
2nd row과정 설문(강사 만족도 포함)
3rd rowe-koreatech 이러닝 강의 만족도
4th row[NCS기반 직업능력개발훈련 역량강화교육] 강의 만족도 설문 조사
5th rowe-koreatech 이러닝 강의 만족도(삼성디스플레이)
ValueCountFrequency (%)
만족도 35
 
5.6%
과정 28
 
4.5%
설문 28
 
4.5%
설문지 21
 
3.4%
조사 14
 
2.3%
평생연수 11
 
1.8%
e-koreatech 9
 
1.4%
활용 8
 
1.3%
실무 8
 
1.3%
분석 8
 
1.3%
Other values (241) 452
72.7%
2023-12-13T02:48:28.548357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
499
 
16.1%
문 100
 
3.2%
설 93
 
3.0%
) 70
 
2.3%
( 70
 
2.3%
사 66
 
2.1%
도 54
 
1.7%
2 52
 
1.7%
만 45
 
1.5%
족 45
 
1.5%
Other values (276) 2004
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2056
66.4%
Space Separator 499
 
16.1%
Lowercase Letter 152
 
4.9%
Decimal Number 123
 
4.0%
Close Punctuation 79
 
2.6%
Open Punctuation 79
 
2.6%
Uppercase Letter 62
 
2.0%
Other Punctuation 20
 
0.6%
Dash Punctuation 18
 
0.6%
Connector Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 100
 
4.9%
설 93
 
4.5%
사 66
 
3.2%
도 54
 
2.6%
만 45
 
2.2%
족 45
 
2.2%
과 44
 
2.1%
정 44
 
2.1%
가 44
 
2.1%
이 40
 
1.9%
Other values (222) 1481
72.0%
Uppercase Letter
ValueCountFrequency (%)
S 13
21.0%
L 6
9.7%
G 5
 
8.1%
T 5
 
8.1%
I 4
 
6.5%
U 4
 
6.5%
R 3
 
4.8%
A 3
 
4.8%
C 3
 
4.8%
N 3
 
4.8%
Other values (10) 13
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 32
21.1%
t 19
12.5%
o 15
9.9%
k 15
9.9%
r 12
 
7.9%
c 9
 
5.9%
a 9
 
5.9%
h 9
 
5.9%
l 9
 
5.9%
s 8
 
5.3%
Other values (4) 15
9.9%
Decimal Number
ValueCountFrequency (%)
2 52
42.3%
0 30
24.4%
1 19
 
15.4%
3 12
 
9.8%
7 4
 
3.3%
5 2
 
1.6%
6 2
 
1.6%
9 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
' 8
40.0%
, 4
20.0%
! 4
20.0%
/ 3
 
15.0%
: 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 70
88.6%
] 9
 
11.4%
Open Punctuation
ValueCountFrequency (%)
( 70
88.6%
[ 9
 
11.4%
Space Separator
ValueCountFrequency (%)
499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2056
66.4%
Common 828
26.7%
Latin 214
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 100
 
4.9%
설 93
 
4.5%
사 66
 
3.2%
도 54
 
2.6%
만 45
 
2.2%
족 45
 
2.2%
과 44
 
2.1%
정 44
 
2.1%
가 44
 
2.1%
이 40
 
1.9%
Other values (222) 1481
72.0%
Latin
ValueCountFrequency (%)
e 32
15.0%
t 19
 
8.9%
o 15
 
7.0%
k 15
 
7.0%
S 13
 
6.1%
r 12
 
5.6%
c 9
 
4.2%
a 9
 
4.2%
h 9
 
4.2%
l 9
 
4.2%
Other values (24) 72
33.6%
Common
ValueCountFrequency (%)
499
60.3%
) 70
 
8.5%
( 70
 
8.5%
2 52
 
6.3%
0 30
 
3.6%
1 19
 
2.3%
- 18
 
2.2%
3 12
 
1.4%
_ 10
 
1.2%
] 9
 
1.1%
Other values (10) 39
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2051
66.2%
ASCII 1042
33.6%
Compat Jamo 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
499
47.9%
) 70
 
6.7%
( 70
 
6.7%
2 52
 
5.0%
e 32
 
3.1%
0 30
 
2.9%
1 19
 
1.8%
t 19
 
1.8%
- 18
 
1.7%
o 15
 
1.4%
Other values (44) 218
20.9%
Hangul
ValueCountFrequency (%)
문 100
 
4.9%
설 93
 
4.5%
사 66
 
3.2%
도 54
 
2.6%
만 45
 
2.2%
족 45
 
2.2%
과 44
 
2.1%
정 44
 
2.1%
가 44
 
2.1%
이 40
 
2.0%
Other values (220) 1476
72.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 3
60.0%
ㅇ 2
40.0%

등록 국가
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
KR
94 
UNKNOWN
35 

Length

Max length7
Median length2
Mean length3.3565891
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 94
72.9%
UNKNOWN 35
 
27.1%

Length

2023-12-13T02:48:28.723376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:48:28.859658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 94
72.9%
unknown 35
 
27.1%

등록 일시
Date

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2016-09-29 07:40:08
Maximum2023-06-28 10:39:19
2023-12-13T02:48:28.989336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:48:29.120246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T02:48:26.890393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:48:29.228455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디등록 국가
아이디1.0000.591
등록 국가0.5911.000
2023-12-13T02:48:29.335108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디등록 국가
아이디1.0000.442
등록 국가0.4421.000

Missing values

2023-12-13T02:48:27.028499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:48:27.146355image/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

아이디기관 아이디제목등록 국가등록 일시
021라이브세미나로 배우는 Solidworks Skill Up [사전설문] - 전 문항 필수KR2016-09-29 07:40:08
151과정 설문(강사 만족도 포함)KR2016-09-29 11:01:22
261e-koreatech 이러닝 강의 만족도KR2016-09-29 13:13:30
391[NCS기반 직업능력개발훈련 역량강화교육] 강의 만족도 설문 조사KR2016-09-30 13:53:16
4101e-koreatech 이러닝 강의 만족도(삼성디스플레이)KR2016-10-06 15:01:39
5111이름 수정 테스트KR2016-10-11 13:35:16
6141라이브세미나로 배우는 Solidworks Skill Up [사후설문] - 전 문항 필수UNKNOWN2016-10-24 18:53:36
7161라이브세미나로 배우는 Solidworks Skill Up [사후 설문] - 전 문항 필수UNKNOWN2016-10-25 15:19:05
8181(사용안함)R 비즈니스 분석 과정 설문 - 전 문항 필수UNKNOWN2017-01-06 13:16:31
9211R 비즈니스 분석 과정 설문 - 전 문항 필수UNKNOWN2017-01-23 15:09:57
아이디기관 아이디제목등록 국가등록 일시
1193891인권경영교육 설문지(인권센터)KR2022-12-26 18:35:36
1203931(심평원) 훈련성과평가센터 2023년도 훈련이수자평가 평가위원 연수 만족도 조사KR2023-01-03 11:26:42
12139712023년 직업능력개발 훈련기관 역량강화 교육 만족도 설문UNKNOWN2023-03-02 15:25:23
1224011평생연수 기수제 설문(주관식 선택)_20230306UNKNOWN2023-03-06 14:18:58
1234061문항테스트UNKNOWN2023-03-16 18:09:14
1244091훈련기관평가센터 심사평가위원 서약서 및 개인정보 수집 동의서UNKNOWN2023-03-29 11:46:46
12541212023년도 직업능력개발훈련 심사평가위원 연수 만족도 조사UNKNOWN2023-04-28 16:09:30
12641512023년 교직원 대상 인권경영 교육 만족도 설문지UNKNOWN2023-06-02 17:58:51
1274211패키지 과정 설문_2023년 6월UNKNOWN2023-06-23 15:20:20
12842412023년 교직원 대상 사회적 장애인식개선교육 만족도 조사UNKNOWN2023-06-28 10:39:19