Online Program

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Friday, October 19
Fri, Oct 19, 5:15 PM - 6:30 PM
Hall of Mirrors
Celebrating Women in Statistics and Data Science Reception and Speed Poster 3, Sponsored by Google and 84.51°

A Shiny Way to Explore the Accuracy of Weather Forecast (304972)

*Nichole Rook, Miami University 
Ryan Estep, Miami University 
Thomas Joseph Fisher, Miami University 
Robert Garrett, Miami University 
Benjamin Schweitzer, Miami University 

Weather predictions are a phenomena that affect our daily lives. People rely on these reports to plan events, pick appropriate clothing, or determine if it is safe to be on the road. Weather data collected by the National Oceanic and Atmospheric Administration was analyzed to compare actual weather occurrences with that of the predicted weather for the same location. Building from the DataExpo Challenge at the 2018 Joint Statistical Meetings, where our team used machine learning algorithms to extend the provided forecast to all the sites provided in the National Climatic Data Center records, here we present a dashboard in R Shiny to explore the accuracy of weather forecast over 5 days to 1 day in advance. Using the dashboard one can explore the distribution of weather forecast accuracy, including aggregating based on seasonality and regionality.