Data
US-Weather-Events-(2016---2020)

US-Weather-Events-(2016---2020)

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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Description This is a countrywide weather events dataset that includes 6.3 million events, and covers 49 states of the United States. Examples of weather events are rain, snow, storm, and freezing condition. Some of the events in this dataset are extreme events (e.g. storm) and some could be regarded as regular events (e.g. rain and snow). The data is collected from January 2016 to December 2020, using historical weather reports that were collected from 2,071 airport-based weather stations across the nation. Check here for more details about the dataset. Acknowledgements Please cite the following papers if you use this dataset: Moosavi, Sobhan, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, and Rajiv Ramnath. Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery Data Mining, ACM, 2019. Description of Weather Events Weather event is a spatiotemporal entity, where such an entity is associated with location and time. Following is the description of available weather event types in this dataset: Severe-Cold: The case of having extremely low temperature, with temperature below -23.7 degrees of Celsius. Fog: The case where there is low visibility condition as a result of fog or haze. Hail: The case of having solid precipitation including ice pellets and hail. Rain: The case of having rain, ranging from light to heavy. Snow: The case of having snow, ranging from light to heavy. Storm: The extremely windy condition, where the wind speed is at least 60 km/h. Other Precipitation: Any other type of precipitation which cannot be assigned to previously described event types. Please visit our paper to learn how we defined and extracted these events from raw weather observation records. A raw weather observation record shows the original sensor reading data, which includes multiple attributes such as temperature, pressure, humidity, precipitation amount, etc. Usage Policy and Legal Disclaimer This dataset is being distributed only for Research purposes, under Creative Commons Attribution-Noncommercial-ShareAlike license (CC BY-NC-SA 4.0). By clicking on the download button below, you are agreeing to use this data only for non-commercial, research, or academic applications. You may need to cite the above paper if you use this dataset.

14 features

EventIdstring7479165 unique values
0 missing
Typestring7 unique values
0 missing
Severitystring6 unique values
0 missing
StartTime(UTC)string1980059 unique values
0 missing
EndTime(UTC)string1940056 unique values
0 missing
Precipitation(in)numeric1705 unique values
0 missing
TimeZonestring4 unique values
0 missing
AirportCodestring2071 unique values
0 missing
LocationLatnumeric2056 unique values
0 missing
LocationLngnumeric2063 unique values
0 missing
Citystring1716 unique values
14563 missing
Countystring1100 unique values
0 missing
Statestring48 unique values
0 missing
ZipCodenumeric2020 unique values
59234 missing

19 properties

7479165
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
73797
Number of missing values in the dataset.
59234
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
28.57
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.
0.79
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.07
Percentage of missing values.

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