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SUMMARY:The 2025 SSDAN Webinar Series: Analyzing 2020 Census, 2023 ACS Data, and Mapping with R
DESCRIPTION:The 2025 SSDAN webinar series will be February 5th, 12th, and 26th, 12-3 PM ET. The webinar series will be conducted by Professor Kyle Walker,  Director of the Center for Urban Studies at Texas Christian University and author of Analyzing US Census Data: Methods, Maps and Models in R.During these 3 FREE virtual workshops, participants will learn how to use R to analyze census data for use in courses and research in sociology, economics, public policy, urban studies and related disciplines.This webinar series will be recorded and posted here and YouTube following the event. Webinar 1Analyzing Data from the 2023 American Community Survey in RWednesday, February 5, 2025   12-3 PM ET \n  .ws-wrapper {    font-family: inherit;    max-width: 720px;    line-height: 1.7;    color: #1a1714;  }\n  .ws-wrapper p {    font-size: 1rem;    color: #2c2825;    margin-bottom: 1.25rem;  }\n  .ws-section-heading {    font-size: 0.72rem;    font-weight: 600;    letter-spacing: 0.1em;    text-transform: uppercase;    color: #6b6560;    margin-bottom: 0.85rem;    padding-bottom: 0.5rem;    border-bottom: 2px solid #ddd8d0;  }\n  .ws-list {    list-style: none;    padding: 0;    margin: 0;    display: flex;    flex-direction: column;    gap: 0.6rem;  }\n  .ws-card {    background: #ffffff;    border: 1px solid #ddd8d0;    border-radius: 8px;    padding: 0.85rem 1.2rem;    display: flex;    align-items: baseline;    gap: 0.85rem;    transition: border-color 0.15s, box-shadow 0.15s;  }\n  .ws-card:hover {    border-color: #b0a898;    box-shadow: 0 2px 8px rgba(0,0,0,0.06);  }\n  .ws-tag {    flex-shrink: 0;    font-size: 0.65rem;    font-weight: 600;    letter-spacing: 0.07em;    text-transform: uppercase;    background: #eef3fb;    color: #1a4b8c;    border-radius: 4px;    padding: 0.2em 0.55em;    line-height: 1.6;  }\n  .ws-link-block {    display: flex;    flex-direction: column;  }\n  .ws-link {    color: #1a4b8c;    text-decoration: underline;    text-decoration-thickness: 1.5px;    text-underline-offset: 3px;    font-weight: 500;    font-size: 0.95rem;    line-height: 1.4;  }\n  .ws-link:visited {    color: #5b3090;  }\n  .ws-link:hover {    background-color: #eef3fb;    text-decoration-thickness: 2.5px;    border-radius: 2px;  }\n  .ws-link:focus-visible {    outline: 3px solid #d4810a;    outline-offset: 3px;    border-radius: 3px;    text-decoration: none;  }\n  .ws-desc {    font-size: 0.82rem;    color: #6b6560;    margin-top: 0.2rem;    line-height: 1.45;  }\nThe U.S. Census Bureau’s American Community Survey (ACS) is the best resource for detailed demographic data on the United States population, and is used widely across industries for up-to-date local insights. In this workshop, participants will learn how to use the latest data from the 2023 ACS using R and the tidycensus R package.\nWorkshop participants will learn the fundamentals of working with both the 1-year and 5-year ACS datasets; how to analyze ACS data using the tidyverse, a popular framework in R for data wrangling and management; and how to create demographic data visualizations. No prior experience with R or Census data is required to participate.\nApplicable Links for Webinar 1\n\nCode\nGitHub – Webinar 1 Code and Materials Repository ( https://github.com/walkerke/umich-workshop-2025 )\nSource code, scripts, and data files for this workshop\n\nSlides\nWebinar 1 Presentation Slides – Use arrow keys to navigate ( https://walker-data.com/umich-workshop-2025/acs-2023/#/title-slide )\nSlide deck covering workshop concepts and examples\n\nTool\nTigerWeb – Census Bureau Interactive Geographic Data Viewer ( https://tigerweb.geo.census.gov )\nExplore Census geographic boundaries and TIGER/Line data on an interactive map\n\nTutorial\nWalker Data – Wrangling Census Data with tidyverse Tools ( https://walker-data.com/census-r/introduction-to-census-microdata.html )\nA practical guide to cleaning and managing ACS data using R’s tidyverse framework\n\nData\nIPUMS – Integrated Public Use Microdata Series ( https://ipums.org )\nHarmonized Census and survey microdata for social and economic research\n\n\n Webinar 2Working with Decennial Census Data in RWednesday, February 12, 2025  12 – 3 PM ET \n  .ws2-wrapper {    font-family: inherit;    max-width: 720px;    line-height: 1.7;    color: #1a1714;  }\n  .ws2-wrapper p {    font-size: 1rem;    color: #2c2825;    margin-bottom: 1.25rem;  }\n  .ws2-section-heading {    font-size: 0.72rem;    font-weight: 600;    letter-spacing: 0.1em;    text-transform: uppercase;    color: #6b6560;    margin-bottom: 0.85rem;    padding-bottom: 0.5rem;    border-bottom: 2px solid #ddd8d0;  }\n  .ws2-list {    list-style: none;    padding: 0;    margin: 0;    display: flex;    flex-direction: column;    gap: 0.6rem;  }\n  .ws2-card {    background: #ffffff;    border: 1px solid #ddd8d0;    border-radius: 8px;    padding: 0.85rem 1.2rem;    display: flex;    align-items: baseline;    gap: 0.85rem;    transition: border-color 0.15s, box-shadow 0.15s;  }\n  .ws2-card:hover {    border-color: #b0a898;    box-shadow: 0 2px 8px rgba(0,0,0,0.06);  }\n  .ws2-tag {    flex-shrink: 0;    font-size: 0.65rem;    font-weight: 600;    letter-spacing: 0.07em;    text-transform: uppercase;    background: #eef3fb;    color: #1a4b8c;    border-radius: 4px;    padding: 0.2em 0.55em;    line-height: 1.6;  }\n  .ws2-link-block {    display: flex;    flex-direction: column;  }\n  .ws2-link {    color: #1a4b8c;    text-decoration: underline;    text-decoration-thickness: 1.5px;    text-underline-offset: 3px;    font-weight: 500;    font-size: 0.95rem;    line-height: 1.4;  }\n  .ws2-link:visited {    color: #5b3090;  }\n  .ws2-link:hover {    background-color: #eef3fb;    text-decoration-thickness: 2.5px;    border-radius: 2px;  }\n  .ws2-link:focus-visible {    outline: 3px solid #d4810a;    outline-offset: 3px;    border-radius: 3px;    text-decoration: none;  }\n  .ws2-desc {    font-size: 0.82rem;    color: #6b6560;    margin-top: 0.2rem;    line-height: 1.45;  }\nDecennial Census data are essential for analysts across a wide variety of fields. In 2024, the U.S. Census Bureau released the final datasets from the 2020 Decennial Census, offering insights about detailed demographic groups and geographies as small as the Census block level.\nThis workshop will introduce participants to the range of data available in the 2020 Decennial Census and teach methods for analysis and visualization of these datasets. Participants will also learn how to access and use past decennial Census datasets and gain insights into best practices for analyzing decennial Census data over time.\nApplicable Links for Webinar 2\n\nSlides\nWebinar 2 Presentation Slides ( https://walker-data.com/umich-workshop-2025/decennial-census/#/title-slide ) – Use keyboard arrows to navigate\nSlide deck covering 2020 Decennial Census data, analysis methods, and visualizations\n\nCode\nGitHub – Webinar 2 Code and Materials Repository ( https://github.com/walkerke/umich-workshop-2025 )\nSource code, scripts, and data files for this workshop\n\nTool\nPosit – RStudio and R Development Environment ( https://posit.co )\nThe home of RStudio and tools for data science in R, including the tidyverse\n\nTutorial\nWalker Data – Analyzing 2020 Decennial Census Data in R ( https://walker-data.com/tidycensus/articles/basic-usage.html#geography-in-tidycensus-1 )\nPractical tutorials for accessing, analyzing, and visualizing decennial Census data\n\n\n  Webinar 3:Mapping and Spatial Analysis with US Census Data in RWednesday, February 26, 2025  12 – 3 PM ET \n\n  .ws3-wrapper {    font-family: inherit;    max-width: 720px;    line-height: 1.7;    color: #1a1714;  }  .ws3-wrapper p {    font-size: 1rem;    color: #2c2825;    margin-bottom: 1.25rem;  }  .ws3-section-heading {    font-size: 0.72rem;    font-weight: 600;    letter-spacing: 0.1em;    text-transform: uppercase;    color: #6b6560;    margin-bottom: 0.85rem;    padding-bottom: 0.5rem;    border-bottom: 2px solid #ddd8d0;  }  .ws3-list {    list-style: none;    padding: 0;    margin: 0;    display: flex;    flex-direction: column;    gap: 0.6rem;  }  .ws3-card {    background: #ffffff;    border: 1px solid #ddd8d0;    border-radius: 8px;    padding: 0.85rem 1.2rem;    display: flex;    align-items: baseline;    gap: 0.85rem;    transition: border-color 0.15s, box-shadow 0.15s;  }  .ws3-card:hover {    border-color: #b0a898;    box-shadow: 0 2px 8px rgba(0,0,0,0.06);  }  .ws3-tag {    flex-shrink: 0;    font-size: 0.65rem;    font-weight: 600;    letter-spacing: 0.07em;    text-transform: uppercase;    background: #eef3fb;    color: #1a4b8c;    border-radius: 4px;    padding: 0.2em 0.55em;    line-height: 1.6;  }  .ws3-link-block {    display: flex;    flex-direction: column;  }  .ws3-link {    color: #1a4b8c;    text-decoration: underline;    text-decoration-thickness: 1.5px;    text-underline-offset: 3px;    font-weight: 500;    font-size: 0.95rem;    line-height: 1.4;  }  .ws3-link:visited {    color: #5b3090;  }  .ws3-link:hover {    background-color: #eef3fb;    text-decoration-thickness: 2.5px;    border-radius: 2px;  }  .ws3-link:focus-visible {    outline: 3px solid #d4810a;    outline-offset: 3px;    border-radius: 3px;    text-decoration: none;  }  .ws3-desc {    font-size: 0.82rem;    color: #6b6560;    margin-top: 0.2rem;    line-height: 1.45;  }  /* Code block styles */  .ws3-code-card {    background: #f4f2ef;    border: 1px solid #ddd8d0;    border-radius: 8px;    padding: 0.85rem 1.2rem;    display: flex;    align-items: baseline;    gap: 0.85rem;  }  .ws3-tag-code {    flex-shrink: 0;    font-size: 0.65rem;    font-weight: 600;    letter-spacing: 0.07em;    text-transform: uppercase;    background: #e4e0d8;    color: #4a4540;    border-radius: 4px;    padding: 0.2em 0.55em;    line-height: 1.6;  }  .ws3-code-block {    display: flex;    flex-direction: column;    gap: 0.3rem;    width: 100%;  }  .ws3-code-label {    font-size: 0.82rem;    color: #6b6560;    line-height: 1.45;  }  .ws3-code-block code {    display: block;    font-family: 'Courier New', Courier, monospace;    font-size: 0.88rem;    color: #1a1714;    background: #e8e4de;    border-radius: 4px;    padding: 0.35em 0.7em;    line-height: 1.6;  }\n\nR includes powerful tools for making informative maps and revealing patterns in datasets with spatial analysis. Participants in this workshop will learn how to use GIS tools in R to make both static and interactive maps with a variety of datasets from the U.S. Census Bureau.\nThe workshop will include tips and tricks for customizing map appearance; automating map production; creating unique visualizations like dot-density and migration flow maps; and building interactive reports and dashboards to share analytical results.\nLinks and Information for Webinar 3\n\nSlides\n\nWebinar 3 Presentation Slides – Use keyboard arrows to navigate ( https://walker-data.com/umich-workshop-2025/mapping/#/title-slide )\nSlide deck covering GIS mapping tools, visualizations, and dashboards in R\n\nCode\nGitHub – Webinar 3 Code and Materials Repository ( https://github.com/walkerke/umich-workshop-2025 )\nSource code, scripts, and data files for this workshop\n\nMailing List\nKyle Walker – Join Mailing List for Census Data Updates ( https://walker-data.us15.list-manage.com/subscribe?u=1829a68a5eda3d301119fdcd6&id=c4a53d2961 )\nStay informed about new workshops, tutorials, and tidycensus package updates\n\nAPI\nRequest a Free Census Bureau API Key\nRequired to access Census and ACS data through R packages like tidycensus\n\nTool\nMapGL – Interactive Mapping Library for R ( https://walker-data.com/mapgl/ )\nTools for building interactive map visualizations in R\n\nR Code\nInstall the terra package (automatically installed with mapgl, but can be run manually if needed):\ninstall.packages("terra")\nSave a dot-density map as a standalone HTML file:\nlibrary(htmlwidgets)\nsaveWidget(dot_density_map2, "mapping/dot_density_map.html")\nLoad the tidyverse for data wrangling:\nlibrary(tidyverse)\n\n \n
URL:https://ssdan.net/events/the-2025-ssdan-webinar-series-2023-acs-data-with-r-mapping-tools-and-the-2020-census/
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