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 12:57:07.254717
Analysis finished2023-12-10 12:57:08.476870
Duration1.22 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

2023-12-10T21:57:08.563070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:57:08.685047image/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
Minimum2019-12-18 17:30:00
Maximum2019-12-19 10:00:00
2023-12-10T21:57:08.822741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:57:08.995864image/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

2023-12-10T21:57:09.155111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:57:09.351585image/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

2023-12-10T21:57:09.525336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:57:09.679109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.0626 100
100.0%

초미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.33
Minimum8
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:57:09.791172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9.95
Q113.75
median18.5
Q321
95-th percentile24
Maximum25
Range17
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation4.6559509
Coefficient of variation (CV)0.26866422
Kurtosis-1.0627946
Mean17.33
Median Absolute Deviation (MAD)3.5
Skewness-0.26237271
Sum1733
Variance21.677879
MonotonicityNot monotonic
2023-12-10T21:57:09.937349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20 12
12.0%
19 10
10.0%
23 9
 
9.0%
11 9
 
9.0%
22 7
 
7.0%
16 7
 
7.0%
14 7
 
7.0%
12 6
 
6.0%
21 6
 
6.0%
18 4
 
4.0%
Other values (8) 23
23.0%
ValueCountFrequency (%)
8 2
 
2.0%
9 3
 
3.0%
10 2
 
2.0%
11 9
9.0%
12 6
6.0%
13 3
 
3.0%
14 7
7.0%
15 3
 
3.0%
16 7
7.0%
17 4
4.0%
ValueCountFrequency (%)
25 4
 
4.0%
24 2
 
2.0%
23 9
9.0%
22 7
7.0%
21 6
6.0%
20 12
12.0%
19 10
10.0%
18 4
 
4.0%
17 4
 
4.0%
16 7
7.0%

미세먼지
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.46
Minimum10
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:57:10.071067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q116
median21
Q325
95-th percentile28
Maximum29
Range19
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.2192728
Coefficient of variation (CV)0.25509642
Kurtosis-1.1163883
Mean20.46
Median Absolute Deviation (MAD)4.5
Skewness-0.27891574
Sum2046
Variance27.240808
MonotonicityNot monotonic
2023-12-10T21:57:10.201115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
23 11
 
11.0%
26 9
 
9.0%
20 9
 
9.0%
25 7
 
7.0%
24 6
 
6.0%
15 6
 
6.0%
27 6
 
6.0%
14 6
 
6.0%
21 5
 
5.0%
16 5
 
5.0%
Other values (10) 30
30.0%
ValueCountFrequency (%)
10 2
 
2.0%
11 2
 
2.0%
12 3
3.0%
13 5
5.0%
14 6
6.0%
15 6
6.0%
16 5
5.0%
17 4
4.0%
18 3
3.0%
19 2
 
2.0%
ValueCountFrequency (%)
29 2
 
2.0%
28 4
 
4.0%
27 6
6.0%
26 9
9.0%
25 7
7.0%
24 6
6.0%
23 11
11.0%
22 3
 
3.0%
21 5
5.0%
20 9
9.0%

Interactions

2023-12-10T21:57:07.910118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:57:07.385568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:57:08.056858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:57:07.762058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:57:10.314078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 발생 일시초미세먼지미세먼지
데이터 발생 일시1.0001.0001.000
초미세먼지1.0001.0000.959
미세먼지1.0000.9591.000
2023-12-10T21:57:10.427523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
초미세먼지미세먼지
초미세먼지1.0000.979
미세먼지0.9791.000

Missing values

2023-12-10T21:57:08.259803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:57:08.421522image/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
01912LYS1342019-12-19 3:5036.9143127.06261517
11912LYS1342019-12-19 9:4036.9143127.0626910
21912LYS1342019-12-18 22:3036.9143127.06262325
31912LYS1342019-12-19 3:4036.9143127.06261923
41912LYS1342019-12-19 7:0036.9143127.06261115
51912LYS1342019-12-19 9:3036.9143127.0626912
61912LYS1342019-12-18 19:5036.9143127.06261821
71912LYS1342019-12-18 22:2036.9143127.06262226
81912LYS1342019-12-19 1:0036.9143127.06262528
91912LYS1342019-12-19 3:3036.9143127.06261923
기기 ID데이터 발생 일시위도경도초미세먼지미세먼지
901912LYS1342019-12-19 2:2036.9143127.06262025
911912LYS1342019-12-19 2:3036.9143127.06262023
921912LYS1342019-12-19 2:5036.9143127.06262023
931912LYS1342019-12-19 3:0036.9143127.06261920
941912LYS1342019-12-19 4:0036.9143127.06261417
951912LYS1342019-12-19 4:1036.9143127.06261622
961912LYS1342019-12-19 4:3036.9143127.06261720
971912LYS1342019-12-19 4:4036.9143127.06261821
981912LYS1342019-12-19 10:0036.9143127.06261012
991912LYS1342019-12-19 9:5036.9143127.0626911