Overview

Dataset statistics

Number of variables6
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory54.5 B

Variable types

Numeric1
Categorical3
Text1
DateTime1

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 약관서비스 관련 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15090965/fileData.do

Alerts

타입 코드 is highly overall correlated with 관련 기관 아이디High correlation
관련 기관 아이디 is highly overall correlated with 아이디 and 2 other fieldsHigh correlation
등록국가 is highly overall correlated with 아이디 and 1 other fieldsHigh correlation
아이디 is highly overall correlated with 관련 기관 아이디 and 1 other fieldsHigh correlation
타입 코드 is highly imbalanced (56.5%)Imbalance
관련 기관 아이디 is highly imbalanced (60.2%)Imbalance
등록국가 is highly imbalanced (60.2%)Imbalance
아이디 has unique valuesUnique
제목 has unique valuesUnique
등록 일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:11:34.634611
Analysis finished2023-12-12 03:11:35.288608
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.763158
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T12:11:35.387889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.85
Q119.5
median43.5
Q382
95-th percentile115.45
Maximum121
Range120
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation37.665982
Coefficient of variation (CV)0.74199445
Kurtosis-1.1424915
Mean50.763158
Median Absolute Deviation (MAD)32
Skewness0.42990289
Sum1929
Variance1418.7262
MonotonicityStrictly increasing
2023-12-12T12:11:35.561886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
87 1
 
2.6%
55 1
 
2.6%
59 1
 
2.6%
64 1
 
2.6%
70 1
 
2.6%
76 1
 
2.6%
79 1
 
2.6%
83 1
 
2.6%
91 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
4 1
2.6%
5 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
12 1
2.6%
16 1
2.6%
19 1
2.6%
ValueCountFrequency (%)
121 1
2.6%
118 1
2.6%
115 1
2.6%
109 1
2.6%
105 1
2.6%
100 1
2.6%
95 1
2.6%
91 1
2.6%
87 1
2.6%
83 1
2.6%

타입 코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
2
33 
1
 
3
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 33
86.8%
1 3
 
7.9%
3 2
 
5.3%

Length

2023-12-12T12:11:35.755125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:11:35.888327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 33
86.8%
1 3
 
7.9%
3 2
 
5.3%

관련 기관 아이디
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
35 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.2368421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 35
92.1%
<NA> 3
 
7.9%

Length

2023-12-12T12:11:36.044218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:11:36.194653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
92.1%
na 3
 
7.9%

제목
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T12:11:36.590067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length35
Mean length25.078947
Min length7

Characters and Unicode

Total characters953
Distinct characters189
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row(심평원)직업능력개발훈련의 정부지원 제도 및 운영절차
2nd row회원가입 약관 v1
3rd row회원가입 약관 v2
4th row회원가입 약관 v3
5th row'실무 활용 과제 실습' 으로 배우는 엑셀 2013
ValueCountFrequency (%)
수강신청 17
 
7.5%
약관 13
 
5.8%
과정 10
 
4.4%
유의사항 10
 
4.4%
및 7
 
3.1%
안내 7
 
3.1%
대상 7
 
3.1%
이러닝 7
 
3.1%
전 5
 
2.2%
패키지 4
 
1.8%
Other values (98) 139
61.5%
2023-12-12T12:11:37.206187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
19.8%
사 27
 
2.8%
강 25
 
2.6%
수 25
 
2.6%
신 23
 
2.4%
청 21
 
2.2%
관 20
 
2.1%
이 19
 
2.0%
2 15
 
1.6%
약 14
 
1.5%
Other values (179) 575
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
71.1%
Space Separator 189
 
19.8%
Decimal Number 33
 
3.5%
Lowercase Letter 12
 
1.3%
Other Punctuation 10
 
1.0%
Close Punctuation 10
 
1.0%
Open Punctuation 10
 
1.0%
Uppercase Letter 9
 
0.9%
Connector Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 27
 
4.0%
강 25
 
3.7%
수 25
 
3.7%
신 23
 
3.4%
청 21
 
3.1%
관 20
 
2.9%
이 19
 
2.8%
약 14
 
2.1%
전 13
 
1.9%
기 13
 
1.9%
Other values (147) 478
70.5%
Lowercase Letter
ValueCountFrequency (%)
v 3
25.0%
o 1
 
8.3%
g 1
 
8.3%
n 1
 
8.3%
a 1
 
8.3%
j 1
 
8.3%
h 1
 
8.3%
l 1
 
8.3%
m 1
 
8.3%
t 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
22.2%
S 1
11.1%
B 1
11.1%
K 1
11.1%
I 1
11.1%
H 1
11.1%
A 1
11.1%
D 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 15
45.5%
0 6
 
18.2%
3 5
 
15.2%
1 4
 
12.1%
5 1
 
3.0%
8 1
 
3.0%
6 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
] 6
60.0%
) 4
40.0%
Open Punctuation
ValueCountFrequency (%)
[ 6
60.0%
( 4
40.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Other Punctuation
ValueCountFrequency (%)
' 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
71.1%
Common 254
 
26.7%
Latin 21
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 27
 
4.0%
강 25
 
3.7%
수 25
 
3.7%
신 23
 
3.4%
청 21
 
3.1%
관 20
 
2.9%
이 19
 
2.8%
약 14
 
2.1%
전 13
 
1.9%
기 13
 
1.9%
Other values (147) 478
70.5%
Latin
ValueCountFrequency (%)
v 3
 
14.3%
P 2
 
9.5%
S 1
 
4.8%
B 1
 
4.8%
K 1
 
4.8%
I 1
 
4.8%
H 1
 
4.8%
A 1
 
4.8%
o 1
 
4.8%
g 1
 
4.8%
Other values (8) 8
38.1%
Common
ValueCountFrequency (%)
189
74.4%
2 15
 
5.9%
' 10
 
3.9%
0 6
 
2.4%
] 6
 
2.4%
[ 6
 
2.4%
3 5
 
2.0%
( 4
 
1.6%
1 4
 
1.6%
) 4
 
1.6%
Other values (4) 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
71.1%
ASCII 275
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
68.7%
2 15
 
5.5%
' 10
 
3.6%
0 6
 
2.2%
] 6
 
2.2%
[ 6
 
2.2%
3 5
 
1.8%
( 4
 
1.5%
1 4
 
1.5%
) 4
 
1.5%
Other values (22) 26
 
9.5%
Hangul
ValueCountFrequency (%)
사 27
 
4.0%
강 25
 
3.7%
수 25
 
3.7%
신 23
 
3.4%
청 21
 
3.1%
관 20
 
2.9%
이 19
 
2.8%
약 14
 
2.1%
전 13
 
1.9%
기 13
 
1.9%
Other values (147) 478
70.5%

등록국가
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
KR
35 
UNKNOWN
 
3

Length

Max length7
Median length2
Mean length2.3947368
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 35
92.1%
UNKNOWN 3
 
7.9%

Length

2023-12-12T12:11:37.427729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:11:37.584558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 35
92.1%
unknown 3
 
7.9%

등록 일시
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2017-02-24 17:29:00
Maximum2023-05-10 16:52:06
2023-12-12T12:11:37.751292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:37.991040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

Interactions

2023-12-12T12:11:34.971617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:11:38.126282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디타입 코드제목등록국가등록 일시
아이디1.0000.3291.0000.7691.000
타입 코드0.3291.0001.0000.0001.000
제목1.0001.0001.0001.0001.000
등록국가0.7690.0001.0001.0001.000
등록 일시1.0001.0001.0001.0001.000
2023-12-12T12:11:38.268609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
타입 코드관련 기관 아이디등록국가
타입 코드1.0001.0000.000
관련 기관 아이디1.0001.0001.000
등록국가0.0001.0001.000
2023-12-12T12:11:38.421459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디타입 코드관련 기관 아이디등록국가
아이디1.0000.1691.0000.531
타입 코드0.1691.0001.0000.000
관련 기관 아이디1.0001.0001.0001.000
등록국가0.5310.0001.0001.000

Missing values

2023-12-12T12:11:35.104904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:11:35.229182image/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

아이디타입 코드관련 기관 아이디제목등록국가등록 일시
0121(심평원)직업능력개발훈련의 정부지원 제도 및 운영절차KR2017-02-24 17:29:00
141<NA>회원가입 약관 v1KR2017-07-13 05:52:28
251<NA>회원가입 약관 v2KR2017-08-30 16:50:18
371<NA>회원가입 약관 v3KR2017-09-01 16:10:05
4821'실무 활용 과제 실습' 으로 배우는 엑셀 2013KR2017-09-13 17:00:11
5921'단계별 실습 과제' 로 배우는 파이썬 프로그래밍KR2017-10-11 22:04:25
61021'빅데이터 분석 실무활용 중급 과정' 수강신청 전 유의사항 안내KR2017-10-23 11:40:03
71221'패키지 과정' 수강 신청 전 유의사항 안내_html5 웹 페이지 제작하기KR2018-05-04 19:32:00
81621'패키지 과정' 수강 신청 전 유의사항 안내_Django 기반 웹 사이트 개발하기KR2018-05-08 16:21:49
91921[메이머스트] 가상화 솔루션 이해 및 관리 채용연계형 과정 학습자 수강신청 약관KR2018-07-24 08:07:01
아이디타입 코드관련 기관 아이디제목등록국가등록 일시
288321장애인인식개선교육 수강신청 유의사항KR2021-03-17 16:02:00
2987212021년도 직업능력개발 훈련기관 역량강화 교육 수강신청 사전안내UNKNOWN2021-09-28 16:57:55
3091212021 직업능력개발 베스트직업훈련기관(BHA) 혁신사례UNKNOWN2022-01-04 09:50:22
319521삼성전자 협력사 대상 이러닝 수강신청 약관KR2022-06-23 14:57:37
32100212022년도 패키지 과정 운영 약관KR2022-07-29 15:10:28
3310521앰코테크놀로지 코리아 협력사 대상 이러닝 수강신청 약관KR2023-02-22 14:51:29
34109212023년도 직업능력개발 훈련기관 역량강화 교육 수강신청 사전 안내UNKNOWN2023-02-24 16:45:22
3511521현대제철 임직원 대상 이러닝 수강신청 약관KR2023-03-16 17:13:45
3611821현대위아 임직원 대상 이러닝 수강신청 약관KR2023-03-28 09:21:42
37121212023년도 디지털 신기술 패키지 과정 운영 약관KR2023-05-10 16:52:06