Add new docs

Author: dieghernan

R/utils-url.R

@@ -217,8 +217,8 @@ download_url <- function(
 
   if (httr2::resp_is_error(resp)) {
     unlink(file_local, force = TRUE)
-    get_status_code <- httr2::resp_status(resp) # nolint
-    get_status_desc <- httr2::resp_status_desc(resp) # nolint
+    get_status_code <- trimws(httr2::resp_status(resp)) # nolint
+    get_status_desc <- trimws(httr2::resp_status_desc(resp)) # nolint
 
     cli::cli_alert_danger(
       c(

README.md

@@ -163,12 +163,16 @@ country_lines <- gisco_get_nuts(
 )
 ```
 
-We now download the data from Eurostat:
+Next, download the data from Eurostat:
 
 ``` r
 # Use eurostat
 popdens <- get_eurostat("demo_r_d3dens") |>
   filter(TIME_PERIOD == "2021-01-01")
+#> 
+indexed 0B in  0s, 0B/s
+indexed 2.15GB in  0s, 2.15GB/s
+                                                                              
 ```
 
 Finally, we merge and manipulate the data to create the final plot:
@@ -256,7 +260,7 @@ alt="Population density in 2021" />
 
 ## Caching
 
-Large datasets (e.g., LAU or high-resolution files) can exceed 50MB.
+Large datasets (e.g., LAU or high-resolution files) can exceed 50 MB.
 Use:
 
 ``` r

codemeta.json

@@ -266,7 +266,7 @@
   "applicationCategory": "cartography",
   "isPartOf": "http://ropengov.org/",
   "keywords": ["ropengov", "r", "spatial", "api-wrapper", "rstats", "r-package", "eurostat", "gisco", "thematic-maps", "eurostat-data", "cran", "ggplot2", "gis", "cran-r"],
-  "fileSize": "1926.864KB",
+  "fileSize": "1924.217KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",