Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory90.3 B

Variable types

Numeric1
Categorical9

Alerts

노드 아이디 has constant value ""Constant
co 측정값 has constant value ""Constant
co2 측정값 has constant value ""Constant
PM1.0 측정값 has constant value ""Constant
PM2.5 측정값 has constant value ""Constant
PM10 측정값 has constant value ""Constant
온도 has constant value ""Constant
습도 has constant value ""Constant
시퀀스 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:31:40.031430
Analysis finished2023-12-10 13:31:40.939651
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시퀀스
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2382004.8
Minimum2373843
Maximum2390166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:31:41.064510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2373843
5-th percentile2374659.5
Q12377927
median2382007
Q32386082
95-th percentile2389347.6
Maximum2390166
Range16323
Interquartile range (IQR)8155

Descriptive statistics

Standard deviation4783.3092
Coefficient of variation (CV)0.0020081022
Kurtosis-1.1989057
Mean2382004.8
Median Absolute Deviation (MAD)4119.5
Skewness-0.000170232
Sum2.3820048 × 108
Variance22880047
MonotonicityStrictly increasing
2023-12-10T22:31:41.352360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2373843 1
 
1.0%
2384389 1
 
1.0%
2386040 1
 
1.0%
2385879 1
 
1.0%
2385713 1
 
1.0%
2385548 1
 
1.0%
2385381 1
 
1.0%
2385213 1
 
1.0%
2385052 1
 
1.0%
2384890 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
2373843 1
1.0%
2374009 1
1.0%
2374169 1
1.0%
2374335 1
1.0%
2374499 1
1.0%
2374668 1
1.0%
2374831 1
1.0%
2374995 1
1.0%
2375157 1
1.0%
2375322 1
1.0%
ValueCountFrequency (%)
2390166 1
1.0%
2390008 1
1.0%
2389838 1
1.0%
2389672 1
1.0%
2389511 1
1.0%
2389339 1
1.0%
2389178 1
1.0%
2389013 1
1.0%
2388849 1
1.0%
2388683 1
1.0%

노드 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
201110
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201110
2nd row201110
3rd row201110
4th row201110
5th row201110

Common Values

ValueCountFrequency (%)
201110 100
100.0%

Length

2023-12-10T22:31:41.618342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:41.784537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201110 100
100.0%

co 측정값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.5
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.5
2nd row0.5
3rd row0.5
4th row0.5
5th row0.5

Common Values

ValueCountFrequency (%)
0.5 100
100.0%

Length

2023-12-10T22:31:41.946182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:42.085545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.5 100
100.0%

co2 측정값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
481
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row481
2nd row481
3rd row481
4th row481
5th row481

Common Values

ValueCountFrequency (%)
481 100
100.0%

Length

2023-12-10T22:31:42.230931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:42.374913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
481 100
100.0%

PM1.0 측정값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 100
100.0%

Length

2023-12-10T22:31:42.527045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:42.685771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 100
100.0%

PM2.5 측정값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 100
100.0%

Length

2023-12-10T22:31:42.868736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:43.016969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 100
100.0%

PM10 측정값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 100
100.0%

Length

2023-12-10T22:31:43.196230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:43.390587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 100
100.0%

온도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
30.899999619
100 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30.899999619
2nd row30.899999619
3rd row30.899999619
4th row30.899999619
5th row30.899999619

Common Values

ValueCountFrequency (%)
30.899999619 100
100.0%

Length

2023-12-10T22:31:43.546527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:43.676389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30.899999619 100
100.0%

습도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
79.900001526
100 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row79.900001526
2nd row79.900001526
3rd row79.900001526
4th row79.900001526
5th row79.900001526

Common Values

ValueCountFrequency (%)
79.900001526 100
100.0%

Length

2023-12-10T22:31:43.833745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:43.997319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
79.900001526 100
100.0%

기록 시간
Categorical

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2022-08-01 08:16:49
55 
2022-08-01 08:15:39
 
1
2022-08-01 08:16:01
 
1
2022-08-01 08:15:22
 
1
2022-08-01 08:15:24
 
1
Other values (41)
41 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique45 ?
Unique (%)45.0%

Sample

1st row2022-08-01 08:15:18
2nd row2022-08-01 08:15:20
3rd row2022-08-01 08:15:22
4th row2022-08-01 08:15:24
5th row2022-08-01 08:15:27

Common Values

ValueCountFrequency (%)
2022-08-01 08:16:49 55
55.0%
2022-08-01 08:15:39 1
 
1.0%
2022-08-01 08:16:01 1
 
1.0%
2022-08-01 08:15:22 1
 
1.0%
2022-08-01 08:15:24 1
 
1.0%
2022-08-01 08:15:27 1
 
1.0%
2022-08-01 08:15:29 1
 
1.0%
2022-08-01 08:15:31 1
 
1.0%
2022-08-01 08:15:33 1
 
1.0%
2022-08-01 08:15:35 1
 
1.0%
Other values (36) 36
36.0%

Length

2023-12-10T22:31:44.225474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-08-01 100
50.0%
08:16:49 55
27.5%
08:16:45 1
 
0.5%
08:16:43 1
 
0.5%
08:16:07 1
 
0.5%
08:16:47 1
 
0.5%
08:16:09 1
 
0.5%
08:16:11 1
 
0.5%
08:16:13 1
 
0.5%
08:16:15 1
 
0.5%
Other values (37) 37
 
18.5%

Interactions

2023-12-10T22:31:40.323909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:31:44.339997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시퀀스기록 시간
시퀀스1.0000.679
기록 시간0.6791.000
2023-12-10T22:31:44.458111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시퀀스기록 시간
시퀀스1.0000.211
기록 시간0.2111.000

Missing values

2023-12-10T22:31:40.572001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:31:40.842288image/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

시퀀스노드 아이디co 측정값co2 측정값PM1.0 측정값PM2.5 측정값PM10 측정값온도습도기록 시간
023738432011100.548145530.979.9000022022-08-01 08:15:18
123740092011100.548145530.979.9000022022-08-01 08:15:20
223741692011100.548145530.979.9000022022-08-01 08:15:22
323743352011100.548145530.979.9000022022-08-01 08:15:24
423744992011100.548145530.979.9000022022-08-01 08:15:27
523746682011100.548145530.979.9000022022-08-01 08:15:29
623748312011100.548145530.979.9000022022-08-01 08:15:31
723749952011100.548145530.979.9000022022-08-01 08:15:33
823751572011100.548145530.979.9000022022-08-01 08:15:35
923753222011100.548145530.979.9000022022-08-01 08:15:37
시퀀스노드 아이디co 측정값co2 측정값PM1.0 측정값PM2.5 측정값PM10 측정값온도습도기록 시간
9023886832011100.548145530.979.9000022022-08-01 08:16:49
9123888492011100.548145530.979.9000022022-08-01 08:16:49
9223890132011100.548145530.979.9000022022-08-01 08:16:49
9323891782011100.548145530.979.9000022022-08-01 08:16:49
9423893392011100.548145530.979.9000022022-08-01 08:16:49
9523895112011100.548145530.979.9000022022-08-01 08:16:49
9623896722011100.548145530.979.9000022022-08-01 08:16:49
9723898382011100.548145530.979.9000022022-08-01 08:16:49
9823900082011100.548145530.979.9000022022-08-01 08:16:49
9923901662011100.548145530.979.9000022022-08-01 08:16:49