Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Categorical2
Boolean1
DateTime1

Dataset

Description한국기술교육대학교 온라인평생교육원 스마트 직업훈련 플랫폼 (STEP)에 대한 게시판 콘텐츠 제한 관련 내용을 제공합니다.
Author한국기술교육대학교
URLhttps://www.data.go.kr/data/15090890/fileData.do

Alerts

타입 코드 has constant value ""Constant
값 has constant value ""Constant
등록 국가 has constant value ""Constant
아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:33:14.461475
Analysis finished2023-12-12 10:33:14.941158
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아이디
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.83333
Minimum195
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T19:33:15.003628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195
5-th percentile196.3
Q1201.75
median220.5
Q3227.25
95-th percentile232.85
Maximum234
Range39
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation13.525071
Coefficient of variation (CV)0.06266442
Kurtosis-1.5796407
Mean215.83333
Median Absolute Deviation (MAD)10
Skewness-0.24949412
Sum5180
Variance182.92754
MonotonicityStrictly increasing
2023-12-12T19:33:15.160958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
195 1
 
4.2%
223 1
 
4.2%
234 1
 
4.2%
233 1
 
4.2%
232 1
 
4.2%
230 1
 
4.2%
229 1
 
4.2%
228 1
 
4.2%
227 1
 
4.2%
226 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
195 1
4.2%
196 1
4.2%
198 1
4.2%
199 1
4.2%
200 1
4.2%
201 1
4.2%
202 1
4.2%
203 1
4.2%
210 1
4.2%
211 1
4.2%
ValueCountFrequency (%)
234 1
4.2%
233 1
4.2%
232 1
4.2%
230 1
4.2%
229 1
4.2%
228 1
4.2%
227 1
4.2%
226 1
4.2%
225 1
4.2%
224 1
4.2%

타입 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
제한
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한 24
100.0%

Length

2023-12-12T19:33:15.310431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:15.412098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한 24
100.0%

값
Boolean

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.0 B
True
24 
ValueCountFrequency (%)
True 24
100.0%
2023-12-12T19:33:15.524038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록 국가
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
KR
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 24
100.0%

Length

2023-12-12T19:33:15.655642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:16.124854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 24
100.0%

등록 일시
Date

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2015-01-30 07:31:00
Maximum2015-03-20 10:23:00
2023-12-12T19:33:16.234330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:33:16.365094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

Interactions

2023-12-12T19:33:14.558559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:33:16.445617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아이디등록 일시
아이디1.0000.969
등록 일시0.9691.000

Missing values

2023-12-12T19:33:14.753915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:33:14.892674image/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 코드값등록 국가등록 일시
0195제한YKR2015-01-30 07:31
1196제한YKR2015-01-30 09:12
2198제한YKR2015-01-30 09:13
3199제한YKR2015-01-30 09:13
4200제한YKR2015-01-30 09:25
5201제한YKR2015-01-30 09:28
6202제한YKR2015-02-10 15:30
7203제한YKR2015-02-25 15:21
8210제한YKR2015-02-25 15:39
9211제한YKR2015-02-27 11:07
아이디타입 코드값등록 국가등록 일시
14224제한YKR2015-02-27 16:13
15225제한YKR2015-02-27 18:02
16226제한YKR2015-03-12 11:29
17227제한YKR2015-03-12 11:32
18228제한YKR2015-03-12 18:11
19229제한YKR2015-03-13 18:00
20230제한YKR2015-03-13 18:21
21232제한YKR2015-03-16 13:12
22233제한YKR2015-03-17 09:35
23234제한YKR2015-03-20 10:23