OpenML
Sundown-and-Sunup-Data-(2010-2020)

Sundown-and-Sunup-Data-(2010-2020)

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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Context I wanted to use this dataset to combine with Toronto Police Homicide reports to determine how time of day (and specifically illumination) have an impact on crime. Content The dataset currently has Sunup and Sundown times for every date from 2010-2020. This includes daylight savings adjustments so you should be able to use this dataset in direct comparisons to other datetimes. Acknowledgements The web scraping was done from www.timeanddate.com

3 features

City (ignore)string1 unique values
0 missing
Datestring4018 unique values
0 missing
Sunupstring145 unique values
0 missing
Sundownstring264 unique values
0 missing
Show all 3 features

19 properties

NumberOfInstances
4018
Number of instances (rows) of the dataset.
NumberOfFeatures
3
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
0
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
0
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
0
Percentage of instances having missing values.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

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