Summary

Imports data directly from NREL SLOPE tool for city level 2020 emissions
Imports data downloads from NREL SLOPE scenario planning tool for baseline/reference scenario, state and county levels
No additional analysis or comparison with other data sources at this time. Setting up data imports for future use
New scripts include
- _meta/data-raw/nrel_slope_emissions.R
- _meta/data-raw/nrel_slope_scenario.R
One file name change
- _energy/data-raw/nrel_slope.R --> nrel_slope_energy.R
- dependent scripts updated accordingly
gitignore updated to reflect new raw data
No Quarto document editing or RDS data objects

Checklist

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

Code and styling

[x] All of the files/scripts I added are in the right place and named appropriately. See the README for details.
[x] I have not used setwd()
[x] I have not added any large datasets, unless absolutely necessary (explain)
[x] I have commented my code, particularly in hard to understand areas
[x] I have added additional package dependencies as necessary with renv::install()
[x] I have run styler::style_dir(".", recursive = TRUE, filetype = c("R", "qmd"))

Quarto document editing and formatting

[x] I have used file.path(here::here(), "file_name")) to source any scripts or read in data
[x] I have ensured that modified documents knit successfully from render_for_publication.R
[x] I have fixed any missing citations, cross references, hyperlinks
[x] I have reviewed my contributions for typos and misspellings.
[x] Plots
- [x] If plotly, use source = "chunk-name" in plot_ly()
- [x] Use formatting with councilR::plotly_layout()?
[x] Chunk formatting
- [x] All chunks named
- [x] All figure or table chunks have caption
- [x] out.width: "95%". If a specific height is needed, use pixels. and/or out.height: "500px"

GitHub and project management