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 started2023-12-10 12:56:47.847289
Analysis finished2023-12-10 12:56:48.601393
Duration0.75 seconds
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

2023-12-10T21:56:48.699020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:48.842665image/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
Minimum2020-05-01 00:00:00
Maximum2020-05-01 16:30:00
2023-12-10T21:56:48.985994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:49.435280image/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

2023-12-10T21:56:49.621586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:49.759389image/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

2023-12-10T21:56:49.890164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:56:50.011608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.0626 100
100.0%

초미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.38
Minimum4
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:50.130972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median11
Q315
95-th percentile23
Maximum49
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.345417
Coefficient of variation (CV)0.64546723
Kurtosis8.0533072
Mean11.38
Median Absolute Deviation (MAD)5
Skewness2.1831046
Sum1138
Variance53.955152
MonotonicityNot monotonic
2023-12-10T21:56:50.332578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4 15
15.0%
6 14
14.0%
14 7
 
7.0%
16 7
 
7.0%
11 7
 
7.0%
8 6
 
6.0%
5 6
 
6.0%
13 6
 
6.0%
12 5
 
5.0%
15 5
 
5.0%
Other values (11) 22
22.0%
ValueCountFrequency (%)
4 15
15.0%
5 6
 
6.0%
6 14
14.0%
7 2
 
2.0%
8 6
 
6.0%
9 1
 
1.0%
10 4
 
4.0%
11 7
7.0%
12 5
 
5.0%
13 6
 
6.0%
ValueCountFrequency (%)
49 1
 
1.0%
41 1
 
1.0%
27 2
 
2.0%
23 2
 
2.0%
21 1
 
1.0%
19 2
 
2.0%
18 2
 
2.0%
17 4
4.0%
16 7
7.0%
15 5
5.0%

미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.37
Minimum5
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:56:50.492976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q17
median13
Q318
95-th percentile24.1
Maximum54
Range49
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.9603246
Coefficient of variation (CV)0.59538703
Kurtosis7.3746779
Mean13.37
Median Absolute Deviation (MAD)5
Skewness2.0260917
Sum1337
Variance63.366768
MonotonicityNot monotonic
2023-12-10T21:56:50.657980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 12
12.0%
7 8
 
8.0%
6 8
 
8.0%
18 8
 
8.0%
9 7
 
7.0%
8 7
 
7.0%
13 7
 
7.0%
14 5
 
5.0%
20 5
 
5.0%
17 5
 
5.0%
Other values (13) 28
28.0%
ValueCountFrequency (%)
5 12
12.0%
6 8
8.0%
7 8
8.0%
8 7
7.0%
9 7
7.0%
10 1
 
1.0%
11 1
 
1.0%
12 4
 
4.0%
13 7
7.0%
14 5
5.0%
ValueCountFrequency (%)
54 1
 
1.0%
44 1
 
1.0%
29 2
 
2.0%
26 1
 
1.0%
24 2
 
2.0%
22 3
 
3.0%
21 1
 
1.0%
20 5
5.0%
19 2
 
2.0%
18 8
8.0%

Interactions

2023-12-10T21:56:48.169586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:47.984141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:48.277524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:56:48.067672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:56:50.735016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 발생 일시초미세먼지미세먼지
데이터 발생 일시1.0001.0001.000
초미세먼지1.0001.0000.968
미세먼지1.0000.9681.000
2023-12-10T21:56:50.836283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
초미세먼지미세먼지
초미세먼지1.0000.990
미세먼지0.9901.000

Missing values

2023-12-10T21:56:48.402602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:56:48.541667image/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
01912LYS1342020-05-01 10:2036.9143127.062689
11912LYS1342020-05-01 16:1036.9143127.062646
21912LYS1342020-05-01 5:0036.9143127.06261416
31912LYS1342020-05-01 10:1036.9143127.062689
41912LYS1342020-05-01 13:3036.9143127.062658
51912LYS1342020-05-01 16:0036.9143127.062645
61912LYS1342020-05-01 2:2036.9143127.06261922
71912LYS1342020-05-01 4:5036.9143127.06261418
81912LYS1342020-05-01 7:3036.9143127.06261517
91912LYS1342020-05-01 10:0036.9143127.062689
기기 ID데이터 발생 일시위도경도초미세먼지미세먼지
901912LYS1342020-05-01 8:5036.9143127.06261113
911912LYS1342020-05-01 9:0036.9143127.06261012
921912LYS1342020-05-01 9:2036.9143127.06261012
931912LYS1342020-05-01 9:3036.9143127.0626810
941912LYS1342020-05-01 10:3036.9143127.062678
951912LYS1342020-05-01 10:4036.9143127.062677
961912LYS1342020-05-01 11:0036.9143127.062668
971912LYS1342020-05-01 11:1036.9143127.062669
981912LYS1342020-05-01 16:3036.9143127.062645
991912LYS1342020-05-01 16:2036.9143127.062645