Overview

Dataset statistics

Number of variables3
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.5 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Categorical1
DateTime1

Dataset

Description모바일 온라인 개인정보보호 포털 내 온라인 교육, 현장교육, 전문강사 리스트 등 활용을 위한 방문정보입니다.
Author한국인터넷진흥원
URLhttps://www.data.go.kr/data/15070591/fileData.do

Alerts

모바일타입 has constant value ""Constant
인덱스 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:52:57.433401
Analysis finished2023-12-12 14:52:57.726992
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인덱스
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T23:52:57.800986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.81944
Coefficient of variation (CV)0.57706181
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.667
MonotonicityStrictly increasing
2023-12-12T23:52:57.924799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
673 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
995 1
0.1%
994 1
0.1%
993 1
0.1%
992 1
0.1%
991 1
0.1%

모바일타입
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
소니에릭슨
1000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소니에릭슨 1000
100.0%

Length

2023-12-12T23:52:58.037222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:52:58.124939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소니에릭슨 1000
100.0%

방문일자
Date

Distinct864
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2014-09-19 19:34:00
Maximum2014-10-09 22:47:00
2023-12-12T23:52:58.223362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:52:58.340815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T23:52:57.492939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T23:52:57.616110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:52:57.698642image/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

인덱스모바일타입방문일자
01소니에릭슨2014-09-19 19:34
12소니에릭슨2014-09-19 20:06
23소니에릭슨2014-09-19 21:10
34소니에릭슨2014-09-19 21:24
45소니에릭슨2014-09-19 22:04
56소니에릭슨2014-09-19 22:18
67소니에릭슨2014-09-19 23:09
78소니에릭슨2014-09-19 23:10
89소니에릭슨2014-09-20 00:15
910소니에릭슨2014-09-20 01:57
인덱스모바일타입방문일자
990991소니에릭슨2014-10-09 20:03
991992소니에릭슨2014-10-09 20:12
992993소니에릭슨2014-10-09 21:13
993994소니에릭슨2014-10-09 21:15
994995소니에릭슨2014-10-09 21:16
995996소니에릭슨2014-10-09 21:45
996997소니에릭슨2014-10-09 22:25
997998소니에릭슨2014-10-09 22:29
998999소니에릭슨2014-10-09 22:30
9991000소니에릭슨2014-10-09 22:47