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rOpenGov · Nov 28, 2024 · 8c5e315 · 8c5e315
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diff --git a/CITATION.cff b/CITATION.cff
@@ -114,9 +114,6 @@ references:
     email: [email protected]
     orcid: https://orcid.org/0000-0002-4035-0289
   year: '2024'
-  identifiers:
-  - type: url
-    value: https://arxiv.org/abs/1403.2805
   doi: 10.32614/CRAN.package.jsonlite
 - type: software
   title: rappdirs

diff --git a/DESCRIPTION b/DESCRIPTION
@@ -52,4 +52,5 @@ RoxygenNote: 7.3.2
 X-schema.org-applicationCategory: cartography
 X-schema.org-isPartOf: http://ropengov.org/
 X-schema.org-keywords: ropengov, r, spatial, api-wrapper, rstats,
-    r-package, eurostat, gisco, thematic-maps, eurostat-data
+    r-package, eurostat, gisco, thematic-maps, eurostat-data, cran,
+    ggplot2, gis
diff --git a/README.md b/README.md
@@ -183,6 +183,7 @@ We now download the data from Eurostat:
 library(eurostat)
 popdens <- get_eurostat("demo_r_d3dens") %>%
   filter(TIME_PERIOD == "2021-01-01")
+#> indexed 0B in  0s, 0B/sindexed 2.15GB in  0s, 2.15GB/s                                                                              
 ```
 
 By last, we merge and manipulate the data for creating the final plot:

diff --git a/codemeta.json b/codemeta.json
@@ -240,7 +240,7 @@
   "applicationCategory": "cartography",
   "isPartOf": "http://ropengov.org/",
   "keywords": ["ropengov", "r", "spatial", "api-wrapper", "rstats", "r-package", "eurostat", "gisco", "thematic-maps", "eurostat-data", "cran", "ggplot2", "gis"],
-  "fileSize": "1243.297KB",
+  "fileSize": "1242.847KB",
   "citation": [
     {
       "@type": "SoftwareSourceCode",

diff --git a/img/README-example-1.png b/img/README-example-1.png
diff --git a/img/README-example-2.png b/img/README-example-2.png
diff --git a/img/README-labels-1.png b/img/README-labels-1.png
diff --git a/img/README-thematic-1.png b/img/README-thematic-1.png