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by Graham Williams
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Rattle Summary of Dataset

Image rattle_weather_dataset

The weather dataset from rattle consists of daily observations of various weather related data over one year at one location (Canberra Airport). Each observation has a date and location. These are the id variables for this dataset.

The observations include the temperature during the day, humidity, the number of hours of sunshine, wind speed and direction, and the amount of evaporation. These are the input variables for this dataset.

Together with each day's observations we record whether it rains the following day and how much rain was received. These will be the target variables for this dataset.

Scroll through the list of variables to notice that default roles have been assigned to each of the variables. Rattle deploys some heuristics to decide on the roles, particularly the target and risk variables.

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Other online resources include the GNU/Linux Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
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