OpenML
Moonrise-Moonset--Phases-Timings-(UK-2005-2017)

Moonrise-Moonset--Phases-Timings-(UK-2005-2017)

active ARFF Attribution 4.0 International (CC BY 4.0) Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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This dataset contains moonrise, moonset and lunar phase timings for every date from 2005 to 2017 for London, UK*; collected from timeanddate. Inspiration This data can be used to study the effects of lunar cycle on any other event of interest. One interesting application for which I made it is to find the correlation of full moon timings with road accidents, to test the Lunar Lunacy effect! I'm eager to see what other creative uses it can have?! *Note: Since only one city can be chosen to retrieve results from the source, hence I have to use London in UK as geographical location. It's noteworthy that moonrise and moonset times will differ for different locations in UK, despite of same timezone due to differences in solar time (in simple words, differences in horizon level). Yet these differences in timings will still be lesser than 30 min (as per observing the contrast between that of eastern and western locations of UK). So if precise timing is not required, then these timings can be used to account for entire UK. And technically, the primary Moon phases occur at a specific moment in time so phase timings will always be same for every location throughout the UK.

8 features

Datestring4748 unique values
0 missing
MoonriseEarlystring861 unique values
2360 missing
Moonsetstring1382 unique values
161 missing
MoonriseLatestring825 unique values
2549 missing
Phasestring4 unique values
4105 missing
PhaseTimestring510 unique values
4105 missing
CivilDawnstring213 unique values
0 missing
CivilDuskstring339 unique values
0 missing

19 properties

4748
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
13280
Number of missing values in the dataset.
4748
Number of instances with at least one value missing.
0
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
34.96
Percentage of missing values.

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