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| Sitemap: https://arilamstein.github.io/census-examples-website/sitemap.xml | ||
| Sitemap: https://RConsortium.github.io/Census-Examples-Website/sitemap.xml |
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| [ | ||
| { | ||
| "objectID": "school.html", | ||
| "href": "school.html", | ||
| "title": "CPS School Enrollment Supplement", | ||
| "section": "", | ||
| "text": "Here is how you can access the CPS School Enrollment Supplement in R:" | ||
| }, | ||
| { | ||
| "objectID": "tidycensus.html", | ||
| "href": "tidycensus.html", | ||
| "title": "tidycensus Examples", | ||
| "section": "", | ||
| "text": "Here’s an example of getting State Population Estimates from the 2020 Decennial Census using the tidycensus package:\n\nlibrary(dplyr)\nlibrary(tidycensus)\n\npop2020 <- get_decennial(\n geography = \"state\",\n variables = \"P1_001N\",\n year = 2020) %>%\n mutate(year = 2020, variable = \"population\")\n\npop2020\n\n# A tibble: 52 × 5\n GEOID NAME variable value year\n <chr> <chr> <chr> <dbl> <dbl>\n 1 42 Pennsylvania population 13002700 2020\n 2 06 California population 39538223 2020\n 3 54 West Virginia population 1793716 2020\n 4 49 Utah population 3271616 2020\n 5 36 New York population 20201249 2020\n 6 11 District of Columbia population 689545 2020\n 7 02 Alaska population 733391 2020\n 8 12 Florida population 21538187 2020\n 9 45 South Carolina population 5118425 2020\n10 38 North Dakota population 779094 2020\n# ℹ 42 more rows\n\n\nHere is how you can see the states with the largest population:\n\narrange(pop2020, desc(value))\n\n# A tibble: 52 × 5\n GEOID NAME variable value year\n <chr> <chr> <chr> <dbl> <dbl>\n 1 06 California population 39538223 2020\n 2 48 Texas population 29145505 2020\n 3 12 Florida population 21538187 2020\n 4 36 New York population 20201249 2020\n 5 42 Pennsylvania population 13002700 2020\n 6 17 Illinois population 12812508 2020\n 7 39 Ohio population 11799448 2020\n 8 13 Georgia population 10711908 2020\n 9 37 North Carolina population 10439388 2020\n10 26 Michigan population 10077331 2020\n# ℹ 42 more rows" | ||
| }, | ||
| { | ||
| "objectID": "index.html", | ||
| "href": "index.html", | ||
| "title": "R Census Examples", | ||
| "section": "", | ||
| "text": "This site contains examples of how to use various R packages that work with US Census Data.\nIt’s built using Quarto. To learn more about Quarto websites visit https://quarto.org/docs/websites.\nTest of publishing to github pages via github actions: https://quarto.org/docs/publishing/github-pages.html\nTest 12pm" | ||
| }, | ||
| { | ||
| "objectID": "choroplethr.html", | ||
| "href": "choroplethr.html", | ||
| "title": "Choroplethr", | ||
| "section": "", | ||
| "text": "choroplethr was designed to make it as easy as possible to do exploratory data analysis of demographic data using choropleth (i.e. color-coded) maps.\nAs an example, let’s use choroplethr to explore the built-in dataset ?df_pop_county, which has 2012 county-level population estimates. We will create the map using ?county_choropleth.\n\nlibrary(choroplethr)\nlibrary(choroplethrMaps)\n\ndata(df_pop_county)\ncounty_choropleth(df_pop_county)\n\n\n\n\n\n\n\n\nchoroplethr defaults to using 7 quantiles. This means that there are 7 unique colors, and an equal number of counties are assigned to each color.\nIf you use two quantiles, you can see which counties have above or blow the median population:\n\nlibrary(choroplethr)\nlibrary(choroplethrMaps)\n\ndata(df_pop_county)\ncounty_choropleth(df_pop_county, num_colors=2)\n\n\n\n\n\n\n\n\nUsing a continuous scale for the colors makes it easy to detect outliers. You can do that by setting num_colors=1:\n\nlibrary(choroplethr)\nlibrary(choroplethrMaps)\n\ndata(df_pop_county)\ncounty_choropleth(df_pop_county, num_colors=1)\n\n\n\n\n\n\n\n\nTo learn more take the free class Mapmaking in R with Choroplethr" | ||
| }, | ||
| { | ||
| "objectID": "school.html", | ||
| "href": "school.html", | ||
| "title": "CPS School Enrollment Supplement", | ||
| "section": "", | ||
| "text": "Here is how you can access the CPS School Enrollment Supplement in R:" | ||
| }, | ||
| { | ||
| "objectID": "about.html", | ||
| "href": "about.html", | ||
| "title": "About", | ||
| "section": "", | ||
| "text": "This site is intended as a companion to A Guide to Working with Census Data in R.\nIt was created by the R Consortium Census Working Group (do we have a link?)." | ||
| }, | ||
| { | ||
| "objectID": "index.html", | ||
| "href": "index.html", | ||
| "title": "R Census Examples", | ||
| "section": "", | ||
| "text": "This site contains examples of how to use various R packages that work with US Census Data.\nIt’s built using Quarto. To learn more about Quarto websites visit https://quarto.org/docs/websites.\nTest of publishing to github pages via github actions: https://quarto.org/docs/publishing/github-pages.html" | ||
| } | ||
| ] |
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site_libs/bootstrap/bootstrap-1322888c997fad56b0b4d776d35cf542.min.css
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| <?xml version="1.0" encoding="UTF-8"?> | ||
| <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> | ||
| <url> | ||
| <loc>https://arilamstein.github.io/census-examples-website/school.html</loc> | ||
| <lastmod>2024-11-22T19:54:19.397Z</lastmod> | ||
| <loc>https://RConsortium.github.io/Census-Examples-Website/tidycensus.html</loc> | ||
| <lastmod>2024-11-22T20:00:11.731Z</lastmod> | ||
| </url> | ||
| <url> | ||
| <loc>https://arilamstein.github.io/census-examples-website/tidycensus.html</loc> | ||
| <lastmod>2024-11-22T19:54:19.397Z</lastmod> | ||
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| <lastmod>2024-11-22T20:00:40.589Z</lastmod> | ||
| </url> | ||
| <url> | ||
| <loc>https://arilamstein.github.io/census-examples-website/choroplethr.html</loc> | ||
| <lastmod>2024-11-22T19:54:19.397Z</lastmod> | ||
| <loc>https://RConsortium.github.io/Census-Examples-Website/choroplethr.html</loc> | ||
| <lastmod>2024-11-22T20:00:11.730Z</lastmod> | ||
| </url> | ||
| <url> | ||
| <loc>https://arilamstein.github.io/census-examples-website/about.html</loc> | ||
| <lastmod>2024-11-22T19:54:19.397Z</lastmod> | ||
| <loc>https://RConsortium.github.io/Census-Examples-Website/school.html</loc> | ||
| <lastmod>2024-11-22T20:00:11.730Z</lastmod> | ||
| </url> | ||
| <url> | ||
| <loc>https://arilamstein.github.io/census-examples-website/index.html</loc> | ||
| <lastmod>2024-11-22T19:54:19.397Z</lastmod> | ||
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| <lastmod>2024-11-22T20:00:11.729Z</lastmod> | ||
| </url> | ||
| </urlset> |
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