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 started2024-04-19 05:41:14.878133
Analysis finished2024-04-19 05:41:15.876821
Duration1 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

2024-04-19T14:41:15.943374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:41:16.034518image/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
Minimum2020-07-01 00:00:17
Maximum2020-07-01 16:30:13
2024-04-19T14:41:16.135232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:41:16.278559image/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

2024-04-19T14:41:16.401553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:41:16.485210image/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

2024-04-19T14:41:16.579309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:41:16.702164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.0626 100
100.0%

온도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.42
Minimum26
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-19T14:41:16.800651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile26.95
Q128
median30
Q335
95-th percentile37.05
Maximum38
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.0506391
Coefficient of variation (CV)0.12891913
Kurtosis-1.5881265
Mean31.42
Median Absolute Deviation (MAD)3
Skewness0.22857851
Sum3142
Variance16.407677
MonotonicityNot monotonic
2024-04-19T14:41:16.944889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
28 19
19.0%
27 16
16.0%
35 15
15.0%
37 10
10.0%
29 8
8.0%
34 6
 
6.0%
36 6
 
6.0%
26 5
 
5.0%
38 5
 
5.0%
31 4
 
4.0%
Other values (3) 6
 
6.0%
ValueCountFrequency (%)
26 5
 
5.0%
27 16
16.0%
28 19
19.0%
29 8
8.0%
30 3
 
3.0%
31 4
 
4.0%
32 2
 
2.0%
33 1
 
1.0%
34 6
 
6.0%
35 15
15.0%
ValueCountFrequency (%)
38 5
 
5.0%
37 10
10.0%
36 6
 
6.0%
35 15
15.0%
34 6
 
6.0%
33 1
 
1.0%
32 2
 
2.0%
31 4
 
4.0%
30 3
 
3.0%
29 8
8.0%

습도
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.28
Minimum25
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-19T14:41:17.068125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile27
Q129
median37.5
Q342
95-th percentile43
Maximum43
Range18
Interquartile range (IQR)13

Descriptive statistics

Standard deviation6.2604741
Coefficient of variation (CV)0.17745108
Kurtosis-1.690037
Mean35.28
Median Absolute Deviation (MAD)4.5
Skewness-0.19783112
Sum3528
Variance39.193535
MonotonicityNot monotonic
2024-04-19T14:41:17.184381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
42 20
20.0%
29 15
15.0%
28 11
11.0%
41 9
9.0%
27 7
 
7.0%
38 6
 
6.0%
43 6
 
6.0%
39 5
 
5.0%
40 4
 
4.0%
36 3
 
3.0%
Other values (8) 14
14.0%
ValueCountFrequency (%)
25 2
 
2.0%
26 2
 
2.0%
27 7
7.0%
28 11
11.0%
29 15
15.0%
30 1
 
1.0%
31 2
 
2.0%
33 2
 
2.0%
34 1
 
1.0%
35 2
 
2.0%
ValueCountFrequency (%)
43 6
 
6.0%
42 20
20.0%
41 9
9.0%
40 4
 
4.0%
39 5
 
5.0%
38 6
 
6.0%
37 2
 
2.0%
36 3
 
3.0%
35 2
 
2.0%
34 1
 
1.0%

Interactions

2024-04-19T14:41:15.158520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:41:14.977451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:41:15.275619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:41:15.064396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:41:17.265705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 발생 일시온도습도
데이터 발생 일시1.0001.0001.000
온도1.0001.0000.968
습도1.0000.9681.000
2024-04-19T14:41:17.356475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
온도습도
온도1.000-0.957
습도-0.9571.000

Missing values

2024-04-19T14:41:15.735786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:41:15.833353image/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
01912LYS1342020-07-01 00:10:1136.9143127.06262642
11912LYS1342020-07-01 00:20:1236.9143127.06262643
21912LYS1342020-07-01 00:30:1336.9143127.06262643
31912LYS1342020-07-01 00:40:1136.9143127.06262643
41912LYS1342020-07-01 00:50:1136.9143127.06262743
51912LYS1342020-07-01 01:00:1236.9143127.06262743
61912LYS1342020-07-01 01:10:1236.9143127.06262742
71912LYS1342020-07-01 01:20:1336.9143127.06262742
81912LYS1342020-07-01 01:30:1536.9143127.06262742
91912LYS1342020-07-01 01:40:1236.9143127.06262742
기기 ID데이터 발생 일시위도경도온도습도
901912LYS1342020-07-01 15:10:1236.9143127.06263629
911912LYS1342020-07-01 15:20:1336.9143127.06263729
921912LYS1342020-07-01 15:30:1436.9143127.06263728
931912LYS1342020-07-01 15:40:1236.9143127.06263828
941912LYS1342020-07-01 15:50:1236.9143127.06263827
951912LYS1342020-07-01 16:00:1436.9143127.06263727
961912LYS1342020-07-01 16:10:1236.9143127.06263728
971912LYS1342020-07-01 16:20:1336.9143127.06263628
981912LYS1342020-07-01 16:30:1336.9143127.06263629
991912LYS1342020-07-01 00:00:1736.9143127.06262642