Iphone 5c

thingiverse

I can help with your code for creating a choropleth map in R using the Plotly package. Based on the provided snippet of a plotly script, I will provide the complete script that generates an interactive and customized choropleth map. This example assumes you have `map_data` (your dataset) containing at least one numeric column named 'values' for which you want to display the distribution in polygons (counties or countries). ``` r library(plotly) # Create the data object that contains our custom hover info for each point of data on our map hover_info <- list( yaxis = list(title = "Lat", visible = TRUE, range = c(-60,60)), xaxis = list(title = "Long", visible = FALSE, showgrid=FALSE, zeroline=F, showticklabels=F) ) # The figure options which includes hoverinfo on a single item figure_options <- list( dragmode="pan", hovermode="x", plot_bgcolor="#000000" ) plot_ly(z=~values,mapbox(lat=-23.5502,lon=-46.6324,zoom=8), locations = ~Long,customdata=~values) %>% layout(mapbox_style='open-street-map', mapbox_center_lat = -23.5502, geo=geo_info(),margin=margin(r = 0,l = 0,t = 5,b = 0)) -> plot ``` This snippet of a plotly script should be complete, assuming you have defined `map_data` and customized the options like hover text (your specific dataset has the actual value), colorscale to your map.