choropleth

I know this question has been asked a number of times but I think some of the underlying syntax for plotly has changed since those questions have been asked. Using ggplotly() to create a choropleth map gives the default tooltip of long, lat, group, and one of my variables from my aesthetics. I understand that tooltip maps only whats in the aesthetics. All I want to do is to customize the tooltip so it displays some of the variables in my dataset (including those not mapped to aesthetics) and not others (such as the coordinates). Below is a reproducible example and what I've tried so far. I

I am trying to create a choropleth map of the US that has the default color changed from gray to white. I have records for 18 of 48 states and the code works to color by value, but for those states where I have no records the states are gray. I would like them to be white. How do I change the color? library(maps) library(plyr) library(ggplot2) records1<-read.csv('E:/My Documents/records_by_state.csv') records<-data.frame(state=tolower(rownames(records1)), records1) head(records) all_states<-map_data("state") head(all_states) record_map<-merge(all_states, records, by.x="region", by.y="state

I'm trying to do a choropleth using folium which offers a great link between GeoJSON, Pandas and leaflet. GeoJSON format is like below : { "type":"FeatureCollection", "features":[ { "type":"Feature", "geometry": { "type":"Polygon", "coordinates":[[[-1.6704591323124895,49.62681486270549], ..... { "insee":"50173", "nom":"Équeurdreville-Hainneville", "wikipedia":"fr:Équeurdreville-Hainneville", "surf_m2":12940306}}, Pandas DataFrame : postal_count.head(5) Out[98]: Code_commune_INSEE CP_count 0 75120 723 1 75115 698 2 75112 671 3 75118 627 4 75111 622 "Code_communes_INSEE" corresponds to the