library(tidyverse) library(eurostat) library(leaflet) library(sf) library(scales) library(cowplot) library(ggthemes) library(RColorBrewer) R.Version() # Load results from project_1 map_df = read.csv(".//data//compound_interest_housing.csv") map_df # Load map/polygon data from eurostat SHP_0 <- get_eurostat_geospatial(resolution = 10, nuts_level = 0, year = 2016) SHP_0 %>% ggplot() + geom_sf() EU28 <- eu_countries %>% select(geo = code, name) SHP_28 <- SHP_0 %>% select(geo = NUTS_ID, geometry) %>% inner_join(EU28, by = "geo") %>% arrange(geo) %>% st_as_sf() SHP_28 %>% ggplot() + geom_sf() + scale_x_continuous(limits = c(-10, 35)) + scale_y_continuous(limits = c(35, 65)) # Join datasets mapdata_new <- left_join(SHP_28, map_df, by="geo", relationship = "many-to-many") merged_df <- left_join(SHP_28, merged_df, by="geo", relationship = "many-to-many") merged_df # Delete Greece (null values) mapdata_new <- mapdata_new[-9,] mapdata_new mapdata_new$wiki <- paste0( "https://en.wikipedia.org/wiki/", mapdata_new$name ) # Create a continuous palette function qpal <- colorQuantile("YlOrBr", mapdata_new$substr_house_prices_wo_hicp, n = 5) qpal_colors <- unique(qpal(sort(mapdata_new$substr_house_prices_wo_hicp))) # hex codes qpal_labs <- quantile(mapdata_new$substr_house_prices_wo_hicp, seq(0, 1, .2)) # depends on n from pal qpal_labs <- paste(lag(qpal_labs), qpal_labs, sep = " - ")[-1] # first lag is NA popup_content <- paste0( "