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Load in ancillary data #155

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@pawilfahrt pawilfahrt commented Jan 17, 2025

Small PR to bring in UrbanSim data for 2010 and 2020 and MN Parcel database data for 2021. This also contains a script for predicting CTU electricity demand that is still under construction and can be ignored as needed right now.

The MN Parcel data is also likely to be deprecated for better, pre-processed data as we explore data availability so does not require intense review.

Checklist

Please complete this checklist as a courtesy to the PR reviewer.

Code and styling

  • All of the files/scripts I added are in the right place and named appropriately. See the README for details.
  • I have not used setwd()
  • I have used file.path(here::here(), "file_name")) to source any scripts or read in data
  • I have not added any large datasets, unless absolutely necessary (explain)
  • I have commented my code, particularly in hard to understand areas
  • I have added additional package dependencies as necessary with renv::install()
  • I have run styler::style_dir(".", recursive = TRUE, filetype = c("R", "qmd"))
  • Plots
    • If plotly, use source = "chunk-name" in plot_ly()
    • Use formatting with councilR::plotly_layout()?
  • Chunk formatting
    • All chunks named
    • All figure or table chunks have caption
    • out.width: "95%". If a specific height is needed, use pixels. and/or out.height: "500px"

Document editing

  • I have ensured that modified documents knit successfully from render_for_publication.R
  • I have fixed any missing citations, cross references, hyperlinks
  • I have reviewed my contributions for typos and misspellings.

GitHub and project management

  • I have identified and assigned at least one Reviewer (Liz, Sam, Laine) to this PR
  • I have assigned myself to this PR
  • I have updated the status in the GitHub Project

@pawilfahrt pawilfahrt added energy Energy meta project-level work labels Jan 17, 2025
@pawilfahrt pawilfahrt self-assigned this Jan 17, 2025
@pawilfahrt pawilfahrt changed the title 148 load in ancillary data Load in ancillary data Jan 17, 2025
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