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beijing-pm2.5
ARFF
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beijing-pm2.5
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ARFF
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Uploaded 19-05-2021 by
Meilina Reksoprodjo
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Life Science
Machine Learning
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This hourly data set contains the PM2.5 data of US Embassy in Beijing. Meanwhile, meteorological data from Beijing Capital International Airport are also included.
13 features
No
numeric
43824 unique values
0 missing
year
numeric
5 unique values
0 missing
month
numeric
12 unique values
0 missing
day
numeric
31 unique values
0 missing
hour
numeric
24 unique values
0 missing
pm2.5
numeric
581 unique values
2067 missing
DEWP
numeric
69 unique values
0 missing
TEMP
numeric
64 unique values
0 missing
PRES
numeric
60 unique values
0 missing
cbwd
string
4 unique values
0 missing
Iws
numeric
2788 unique values
0 missing
Is
numeric
28 unique values
0 missing
Ir
numeric
37 unique values
0 missing
Show all 13 features
19 properties
NumberOfInstances
43824
Number of instances (rows) of the dataset.
NumberOfFeatures
13
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
2067
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
2067
Number of instances with at least one value missing.
NumberOfNumericFeatures
12
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
92.31
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
4.72
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0.36
Percentage of missing values.
Show all 19 properties
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