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It will attempt to match a country 'identifier' (e.g. name, iso code) within the function, so there's no need to worry about geometry or other spatial concerns. Your identifier strings, however, have to be relatively clean.\n\n``` r\nlibrary(gapminder)\nlibrary(dplyr)\nlibrary(quickglobe)\n\ngapminder %\u003e% \n  filter(year == 2002) %\u003e%\n  quickglobe(country, gdpPercap, title = \"GDP Per Capita\")\n```\n\n![](inst/example1.gif)\n\n## Styling the Globe\n\nUse different palettes, adjust the title font family, choose the number of legend cells, and format the legend ticks in `qg_style`\n","funding_links":[],"categories":["R","Visualization"],"sub_categories":["Maps and Spatial Data"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaranzolin%2Fquickglobe","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaranzolin%2Fquickglobe","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaranzolin%2Fquickglobe/lists"}