Data
Weather-in-Szeged-2006-2016

Weather-in-Szeged-2006-2016

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context This is a dataset for a larger project I have been working on. My idea is to analyze and compare real historical weather with weather folklore. Content The CSV file includes a hourly/daily summary for Szeged, Hungary area, between 2006 and 2016. Data available in the hourly response: time summary precipType temperature apparentTemperature humidity windSpeed windBearing visibility loudCover pressure Acknowledgements Many thanks to Darksky.net team for their awesome API.

12 features

Formatted_Datestring96429 unique values
0 missing
Summarystring27 unique values
0 missing
Precip_Typestring2 unique values
517 missing
Temperature_(C)numeric7574 unique values
0 missing
Apparent_Temperature_(C)numeric8984 unique values
0 missing
Humiditynumeric90 unique values
0 missing
Wind_Speed_(km/h)numeric2484 unique values
0 missing
Wind_Bearing_(degrees)numeric360 unique values
0 missing
Visibility_(km)numeric949 unique values
0 missing
Loud_Covernumeric1 unique values
0 missing
Pressure_(millibars)numeric4979 unique values
0 missing
Daily_Summarystring214 unique values
0 missing

19 properties

96453
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
517
Number of missing values in the dataset.
517
Number of instances with at least one value missing.
8
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
66.67
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.
0.54
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.04
Percentage of missing values.

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