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Update docs with pkgdev
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github-actions[bot] committed Jun 14, 2024
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -186,7 +186,6 @@ 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 1.00TB in 0s, 394.50TB/s
```

By last, we merge and manipulate the data for creating the final plot:
Expand Down Expand Up @@ -325,7 +324,7 @@ Eurostat*. <doi:10.32614/CRAN.package.giscoR>

A BibTeX entry for LaTeX users is

@Manual{,
@Manual{R-giscoR,
title = {{giscoR}: Download Map Data from GISCO API - Eurostat},
doi = {10.32614/CRAN.package.giscoR},
author = {Diego Hernangómez},
Expand Down Expand Up @@ -364,7 +363,8 @@ This package is in no way officially related to or endorsed by Eurostat.

## References

<div id="refs" class="references csl-bib-body hanging-indent">
<div id="refs" class="references csl-bib-body hanging-indent"
entry-spacing="0">

<div id="ref-RJ-2017-019" class="csl-entry">

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4 changes: 2 additions & 2 deletions codemeta.json
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Expand Up @@ -14,7 +14,7 @@
"name": "R",
"url": "https://r-project.org"
},
"runtimePlatform": "R version 4.4.0 (2024-04-24)",
"runtimePlatform": "R version 4.4.0 (2024-04-24 ucrt)",
"provider": {
"@id": "https://cran.r-project.org",
"@type": "Organization",
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"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": "1251.229KB",
"fileSize": "1260.085KB",
"citation": [
{
"@type": "SoftwareSourceCode",
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2 changes: 1 addition & 1 deletion inst/schemaorg.json
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Expand Up @@ -40,7 +40,7 @@
"name": "Comprehensive R Archive Network (CRAN)",
"url": "https://cran.r-project.org"
},
"runtimePlatform": "R version 4.4.0 (2024-04-24)",
"runtimePlatform": "R version 4.4.0 (2024-04-24 ucrt)",
"version": "0.5.0.9000"
},
{
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4 changes: 0 additions & 4 deletions vignettes/giscoR.Rmd
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Expand Up @@ -189,10 +189,6 @@ eu_bord <- borders %>%
# Eurostat data - Disposable income
pps <- get_eurostat("tgs00026") %>%
filter(TIME_PERIOD == "2021-01-01")
#> indexed 0B in 0s, 0B/sindexed 1.00TB in 0s, 3.64PB/s
```

``` r

nuts2_sf <- nuts2 %>%
left_join(pps, by = "geo") %>%
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