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When & Where
Thu, October 8, 2020 - 12:30 PM to 3:30 PM
Remote (Zoom link sent by email and calendar invite)

Overview Since 1790, the US Census has been THE source of data about American people, providing valuable insights to social scientists and humanists.  Mapping these data by census geographies adds more value by allowing researchers to explore spatial trends and outliers.  This workshop will introduce three key packages for streamlining census data workflows in R: tigristidycensus and tmap.  Participants will learn how to download census tabular data for one or more geographic aggregation units or years, download the associated census geographic data and then join these data for analysis and mapping.

 Github Repo: https://github.com/dlab-berkeley/Census-Data-in-R

Technology RequirementsBring a laptop with R, RStudio and the following R packages installed: sp, sf, rgdal, rgeos, raster, ggplot2, and tmap, tigris and tidycensus.

Knowledge Requirements: R experience equivalent to the D-Lab R Fundamentals workshop series is required to follow along with the tutorial. Basic knowledge of census data and geospatial data will be very helpful


Primary Tool: 
Training Learner Level: 
Intermediate to Advanced Competency
Training Host: 
Participant Technology Requirement: 
Laptop, Internet connection, Zoom account
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