Context: Besides coffee, grunge and technology companies, one of the things that Seattle is most famous for is how often it rains. This dataset contains complete records of daily rainfall patterns from January 1st, 1948 to December 12, 2017. Content This data was collected at the [Seattle-Tacoma International Airport](https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USW00024233/detail). The dataset contains five columns: * DATE = the date of the observation * PRCP = the amount of precipitation, in inches * TMAX = the maximum temperature for that day, in degrees Fahrenheit * TMIN = the minimum temperature for that day, in degrees Fahrenheit * RAIN = TRUE if rain was observed on that day, FALSE if it was not Acknowledgements: This dataset was compiled by NOAA and is in the public domain. Inspiration: * Can you use this dataset to build a model of whether it will rain on a specific day given information on the previous days? * Is there a correlation between the minimum and maximum temperature? Can you predict one given the other? * Can you model changes in the amount of precipitation over time? Is there seasonality?