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=a75212a0-31ef-11ea-ad66-1b2f93f3f455

Alerts

기기 ID has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
초미세먼지 is highly overall correlated with 미세먼지High correlation
미세먼지 is highly overall correlated with 초미세먼지High correlation
데이터 발생 일시 has unique valuesUnique

Reproduction

Analysis started2024-04-20 20:53:19.208842
Analysis finished2024-04-20 20:53:20.454119
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기기 ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size928.0 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

2024-04-21T05:53:20.660283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:53:20.949490image/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 size928.0 B
Minimum2020-01-01 00:00:00
Maximum2020-01-01 16:30:00
2024-04-21T05:53:21.253027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:53:21.856828image/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 size928.0 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

2024-04-21T05:53:22.254819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:53:22.549472image/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 size928.0 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

2024-04-21T05:53:22.850345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:53:23.134710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.0626 100
100.0%

초미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.62
Minimum12
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T05:53:23.407548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q113
median14
Q316
95-th percentile18.05
Maximum23
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3084386
Coefficient of variation (CV)0.15789594
Kurtosis0.34641551
Mean14.62
Median Absolute Deviation (MAD)2
Skewness0.82356056
Sum1462
Variance5.3288889
MonotonicityNot monotonic
2024-04-21T05:53:23.752761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
13 23
23.0%
12 20
20.0%
15 14
14.0%
14 11
11.0%
18 10
10.0%
16 9
 
9.0%
17 8
 
8.0%
19 4
 
4.0%
23 1
 
1.0%
ValueCountFrequency (%)
12 20
20.0%
13 23
23.0%
14 11
11.0%
15 14
14.0%
16 9
 
9.0%
17 8
 
8.0%
18 10
10.0%
19 4
 
4.0%
23 1
 
1.0%
ValueCountFrequency (%)
23 1
 
1.0%
19 4
 
4.0%
18 10
10.0%
17 8
 
8.0%
16 9
 
9.0%
15 14
14.0%
14 11
11.0%
13 23
23.0%
12 20
20.0%

미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.33
Minimum13
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T05:53:24.087508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14
Q115
median17
Q320
95-th percentile22
Maximum26
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7708986
Coefficient of variation (CV)0.15989028
Kurtosis-0.33594036
Mean17.33
Median Absolute Deviation (MAD)2
Skewness0.55371221
Sum1733
Variance7.6778788
MonotonicityNot monotonic
2024-04-21T05:53:24.469901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
16 17
17.0%
14 15
15.0%
17 12
12.0%
18 12
12.0%
20 11
11.0%
15 11
11.0%
21 7
7.0%
22 7
7.0%
13 3
 
3.0%
19 3
 
3.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
13 3
 
3.0%
14 15
15.0%
15 11
11.0%
16 17
17.0%
17 12
12.0%
18 12
12.0%
19 3
 
3.0%
20 11
11.0%
21 7
7.0%
22 7
7.0%
ValueCountFrequency (%)
26 1
 
1.0%
23 1
 
1.0%
22 7
7.0%
21 7
7.0%
20 11
11.0%
19 3
 
3.0%
18 12
12.0%
17 12
12.0%
16 17
17.0%
15 11
11.0%

Interactions

2024-04-21T05:53:19.665607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:53:19.382249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:53:19.809794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:53:19.521051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T05:53:24.719073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 발생 일시초미세먼지미세먼지
데이터 발생 일시1.0001.0001.000
초미세먼지1.0001.0000.853
미세먼지1.0000.8531.000
2024-04-21T05:53:24.956600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
초미세먼지미세먼지
초미세먼지1.0000.924
미세먼지0.9241.000

Missing values

2024-04-21T05:53:20.002545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T05:53:20.322294image/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 일시위도경도초미세먼지미세먼지
01912LYS1342020-01-01 10:2036.9143127.06261517
11912LYS1342020-01-01 16:1036.9143127.06261821
21912LYS1342020-01-01 5:0036.9143127.06261314
31912LYS1342020-01-01 10:1036.9143127.06261518
41912LYS1342020-01-01 13:3036.9143127.06261720
51912LYS1342020-01-01 16:0036.9143127.06261822
61912LYS1342020-01-01 2:2036.9143127.06261415
71912LYS1342020-01-01 4:5036.9143127.06261316
81912LYS1342020-01-01 7:3036.9143127.06261316
91912LYS1342020-01-01 10:0036.9143127.06261517
기기 ID데이터 발생 일시위도경도초미세먼지미세먼지
901912LYS1342020-01-01 8:5036.9143127.06261416
911912LYS1342020-01-01 9:0036.9143127.06261418
921912LYS1342020-01-01 9:2036.9143127.06261721
931912LYS1342020-01-01 9:3036.9143127.06261923
941912LYS1342020-01-01 10:3036.9143127.06261518
951912LYS1342020-01-01 10:4036.9143127.06261518
961912LYS1342020-01-01 11:0036.9143127.06261617
971912LYS1342020-01-01 11:1036.9143127.06261620
981912LYS1342020-01-01 16:3036.9143127.06261922
991912LYS1342020-01-01 16:2036.9143127.06262326