STAT 220 Project 4

Interactive 1 - Plotly maps

I chose to make interactive Plotly versions of my maps from Project 2. I added tooltip arguments that provide state name and the respective values of interest for each map (forecast accuracy and precipitation averages). I wanted to let users see the precise numeric values for the variables being investigated. My previous map only allowed users to compare states based on their fill color. Because ggplotly maps don’t display subtitles or captions, I also edited my map titles to provide more detailed information that was previously included in other labels.

Plotly Map A

Original ggplot Map A:

Plotly Map B:

Original ggplot Map B:

Interactive 2 - DataTable

I simplified my “joined” dataset to make an interactive DataTable so users can investigate the relationship between forecast accuracy and the weather variables they are most interested in.

I thought it would be useful for users to have the option to compare other variables that I did not provide maps for. The DataTable also offers weather data at the city level, so users can get a higher-resolution picture of weather data than my maps provide (they use only state averages). Using this table, viewers can test their own hypotheses about causes for weather forecast inaccuracy!