get_map: Creates a map that shows which is the most voted political...
In bclroger/euparliament: Analysis of the EU Parliament elections of 2014 and 2019

Description Usage Arguments Value Examples

Creates a categorical map based on the dataframe assigned to argument data and the column asigned to fill_by. The map uses projection epsg:3035, so the map is already focused to the region of the European Union using an equal area Azimuthal projection.

1	get_map(data, fill_by = NULL, legend = "", title = "")

`data`	The `dataframe` with the polygon data and other data.
`fill_by`	The `column` that with the desired categories.
`legend`	The `string` to be used as legend of the map.
`title`	The `string` to be used as title of map.

Plots a categorical map using epsg: 3035 as a projection (Azimuthal equal area focused on the European Union) showing the values of the selected column from the selected dataframe.

Country <- c("Austria", "Belgium", "Bulgaria", "Croatia")
EPP <- c(1,2,3,4)
SD <- c(4,1,2,3)
Other <- c(3,4,1,2)
IN <- c(2,3,4,1)
Bias <- c("SD", "Other", "IN", "EPP")
df.data <- data.frame(Country, EPP, SD, Other, IN, Bias)
library("rnaturalearth")
library("rnaturalearthdata")
library("ggplot2")
world <- ne_countries(scale = "medium", returnclass = "sf")

t_world <- merge(world, df.data, by.x="name_long", by.y="Country")

get_map(t_world, t_world$Bias, legend = "Sample Legend", title = "Major Parties")