Creates choropleth maps using Eurostat data. You can either use sample datasets by providing a Eurostat dataset ID, or import your own Eurostat CSV data. For local data, ensure it contains a 'geo' column with NUTS geographic codes.
Usage
eurostatmap(
data,
dataset_id = "demo_r_gind3",
indicator,
geo_level = "nuts2",
year = 2022,
map_type = "static",
color_palette = "viridis",
map_title = "Eurostat Map",
use_local_data = FALSE,
classification_method = "quantile",
n_classes = 5,
cache_data = TRUE,
add_to_data = FALSE
)Arguments
- data
The data as a data frame.
- dataset_id
The Eurostat dataset identifier to retrieve data from.
- indicator
The variable containing the indicator values to map.
- geo_level
The geographic level for mapping.
- year
The year for which to display data.
- map_type
Choose between static or interactive map visualization.
- color_palette
Color palette for the choropleth map.
- map_title
The title displayed on the map.
- use_local_data
Use local data instead of downloading from Eurostat.
- classification_method
Method for classifying data into color categories.
- n_classes
Number of classes for data classification.
- cache_data
Cache downloaded Eurostat data to avoid repeated downloads.
- add_to_data
Add the downloaded Eurostat data to jamovi's data spreadsheet.
Value
A results object containing:
results$plot | an image | ||||
results$info | a table | ||||
results$summary | a table | ||||
results$downloaded_data | a table |
Tables can be converted to data frames with asDF or as.data.frame. For example:
results$info$asDF
as.data.frame(results$info)