Overview

Dataset statistics

Number of variables4
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory35.6 B

Variable types

Categorical3
DateTime1

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 학습자 과정 항목 관련 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15091060/fileData.do

Alerts

과목 평가항목 옵션 아이디 has constant value ""Constant
등록 기기 타입 코드 has constant value ""Constant
등록 국가 is highly imbalanced (64.3%)Imbalance

Reproduction

Analysis started2023-12-12 07:33:12.000210
Analysis finished2023-12-12 07:33:12.327977
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과목 평가항목 옵션 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
50 

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 50
100.0%

Length

2023-12-12T16:33:12.409280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:12.532955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
100.0%

등록 국가
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
KR
45 
UNKNOWN
 
3
US
 
2

Length

Max length7
Median length2
Mean length2.3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 45
90.0%
UNKNOWN 3
 
6.0%
US 2
 
4.0%

Length

2023-12-12T16:33:12.665097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:12.793010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 45
90.0%
unknown 3
 
6.0%
us 2
 
4.0%

등록 기기 타입 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
PC
50 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PC 50
100.0%

Length

2023-12-12T16:33:12.903160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:33:13.004492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pc 50
100.0%

등록 일시
Date

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2017-11-09 07:45:00
Maximum2019-11-18 14:40:00
2023-12-12T16:33:13.123129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:33:13.260037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

Correlations

2023-12-12T16:33:13.358144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록 국가등록 일시
등록 국가1.0001.000
등록 일시1.0001.000

Missing values

2023-12-12T16:33:12.186461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:33:12.292157image/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

과목 평가항목 옵션 아이디등록 국가등록 기기 타입 코드등록 일시
01KRPC2019-09-16 10:41
11KRPC2019-11-18 14:40
21KRPC2019-10-01 16:05
31KRPC2017-11-11 12:30
41KRPC2017-11-09 07:45
51KRPC2017-11-10 12:23
61UNKNOWNPC2017-11-11 14:05
71KRPC2017-11-09 14:33
81KRPC2017-11-09 23:52
91KRPC2017-11-10 22:54
과목 평가항목 옵션 아이디등록 국가등록 기기 타입 코드등록 일시
401KRPC2017-11-09 16:01
411KRPC2017-11-11 20:51
421USPC2017-11-10 08:13
431KRPC2017-11-11 06:42
441KRPC2017-11-09 23:27
451KRPC2017-11-10 13:46
461KRPC2017-11-09 14:28
471KRPC2017-11-10 18:16
481KRPC2017-11-10 18:03
491KRPC2017-11-09 10:54