Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory53.3 B

Variable types

Categorical3
DateTime1
Numeric2

Dataset

Description샘플 데이터
Author순천향대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=77257630-31ef-11ea-ad66-1b2f93f3f455

Alerts

기기 ID has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
온도 is highly overall correlated with 습도High correlation
습도 is highly overall correlated with 온도High correlation
데이터 발생 일시 has unique valuesUnique

Reproduction

Analysis started2023-12-10 10:45:14.580231
Analysis finished2023-12-10 10:45:15.909619
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기기 ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1912LYS134
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1912LYS134
2nd row1912LYS134
3rd row1912LYS134
4th row1912LYS134
5th row1912LYS134

Common Values

ValueCountFrequency (%)
1912LYS134 100
100.0%

Length

2023-12-10T19:45:16.020933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:45:16.203350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1912lys134 100
100.0%

데이터 발생 일시
Date

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-09-01 00:00:17
Maximum2020-09-01 16:40:14
2023-12-10T19:45:16.362161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:45:16.603760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
36.9143
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36.9143
2nd row36.9143
3rd row36.9143
4th row36.9143
5th row36.9143

Common Values

ValueCountFrequency (%)
36.9143 100
100.0%

Length

2023-12-10T19:45:16.817684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:45:16.976541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36.9143 100
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
127.0626
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127.0626
2nd row127.0626
3rd row127.0626
4th row127.0626
5th row127.0626

Common Values

ValueCountFrequency (%)
127.0626 100
100.0%

Length

2023-12-10T19:45:17.152269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:45:17.318763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.0626 100
100.0%

온도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum31
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:45:17.469972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile31
Q133.75
median35
Q341.25
95-th percentile45
Maximum46
Range15
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation4.64062
Coefficient of variation (CV)0.12542216
Kurtosis-0.99299625
Mean37
Median Absolute Deviation (MAD)3
Skewness0.57611828
Sum3700
Variance21.535354
MonotonicityNot monotonic
2023-12-10T19:45:17.822050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35 17
17.0%
32 13
13.0%
34 10
10.0%
31 7
 
7.0%
45 7
 
7.0%
36 6
 
6.0%
37 6
 
6.0%
43 6
 
6.0%
44 5
 
5.0%
33 5
 
5.0%
Other values (6) 18
18.0%
ValueCountFrequency (%)
31 7
7.0%
32 13
13.0%
33 5
 
5.0%
34 10
10.0%
35 17
17.0%
36 6
 
6.0%
37 6
 
6.0%
38 4
 
4.0%
39 3
 
3.0%
40 3
 
3.0%
ValueCountFrequency (%)
46 3
3.0%
45 7
7.0%
44 5
5.0%
43 6
6.0%
42 4
4.0%
41 1
 
1.0%
40 3
3.0%
39 3
3.0%
38 4
4.0%
37 6
6.0%

습도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.13
Minimum16
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:45:18.064075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile17
Q120.75
median29
Q332.25
95-th percentile36
Maximum36
Range20
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.5082
Coefficient of variation (CV)0.23988942
Kurtosis-1.2323153
Mean27.13
Median Absolute Deviation (MAD)5
Skewness-0.34939547
Sum2713
Variance42.356667
MonotonicityNot monotonic
2023-12-10T19:45:18.289884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30 19
19.0%
17 9
 
9.0%
36 8
 
8.0%
19 8
 
8.0%
34 7
 
7.0%
35 7
 
7.0%
27 5
 
5.0%
29 5
 
5.0%
32 4
 
4.0%
18 4
 
4.0%
Other values (11) 24
24.0%
ValueCountFrequency (%)
16 3
 
3.0%
17 9
9.0%
18 4
4.0%
19 8
8.0%
20 1
 
1.0%
21 3
 
3.0%
22 1
 
1.0%
23 1
 
1.0%
24 3
 
3.0%
25 3
 
3.0%
ValueCountFrequency (%)
36 8
8.0%
35 7
 
7.0%
34 7
 
7.0%
33 3
 
3.0%
32 4
 
4.0%
31 1
 
1.0%
30 19
19.0%
29 5
 
5.0%
28 2
 
2.0%
27 5
 
5.0%

Interactions

2023-12-10T19:45:15.235914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:45:14.824102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:45:15.420252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:45:15.031953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:45:18.458950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 발생 일시온도습도
데이터 발생 일시1.0001.0001.000
온도1.0001.0000.962
습도1.0000.9621.000
2023-12-10T19:45:18.631107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
온도습도
온도1.000-0.979
습도-0.9791.000

Missing values

2023-12-10T19:45:15.652818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:45:15.828021image/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

기기 ID데이터 발생 일시위도경도온도습도
01912LYS1342020-09-01 00:10:1336.9143127.06263530
11912LYS1342020-09-01 00:20:1436.9143127.06263530
21912LYS1342020-09-01 00:30:1536.9143127.06263530
31912LYS1342020-09-01 00:40:1436.9143127.06263530
41912LYS1342020-09-01 00:50:1436.9143127.06263530
51912LYS1342020-09-01 01:00:1436.9143127.06263530
61912LYS1342020-09-01 01:10:1536.9143127.06263530
71912LYS1342020-09-01 01:20:1536.9143127.06263530
81912LYS1342020-09-01 01:30:1936.9143127.06263530
91912LYS1342020-09-01 01:40:1636.9143127.06263529
기기 ID데이터 발생 일시위도경도온도습도
901912LYS1342020-09-01 15:20:1436.9143127.06264616
911912LYS1342020-09-01 15:30:1536.9143127.06264616
921912LYS1342020-09-01 15:40:1436.9143127.06264616
931912LYS1342020-09-01 15:50:1436.9143127.06264517
941912LYS1342020-09-01 16:00:1636.9143127.06264418
951912LYS1342020-09-01 16:10:1336.9143127.06264318
961912LYS1342020-09-01 16:20:1536.9143127.06264319
971912LYS1342020-09-01 16:30:1536.9143127.06264319
981912LYS1342020-09-01 16:40:1436.9143127.06264319
991912LYS1342020-09-01 00:00:1736.9143127.06263530