library(dplyr)
library(tidyr)
library(regions)
coal_directory <- "C:/Users/Daniel Antal/OneDrive - Visegrad Investments/2020 Projektek/coal/data"
eb15 <- readRDS( file.path(coal_directory, "eb15.rds"))
dat <- dplyr::sample_n (eb15, 20)
names ( dat )
geo_var <- "region_nuts_codes"
nuts_year = 2016
validate_nuts_countries(dat, geo_var = 'region_nuts_codes')
validated <- validate_nuts_regions(dat, geo_var = 'region_nuts_codes')
recoded <- recode_nuts(dat, geo_var = 'region_nuts_codes')
eb15 %>%
recode_nuts(., geo_var = 'region_nuts_codes') %>%
mutate ( geo = code_2016 ) %>%
satellitereport::create_choropleth(., level = 2, type = 'numeric',
values_var = "government_targets_numeric",
geo_var = "geo")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.