Update README.md

README.md

@@ -45,20 +45,25 @@ Running this pipeline will generate several data assets.
  ├── README.md <- The top-level README for developers using this project
  │
  ├── data 
-  ├── raw <- Folder files provided [here](https://github.com/data-liberation-project/epa-rmp-spreadsheets/tree/main/data/output) - you must add these yourself
-  ├── submissions.csv <- RMP submissions records
-  ├── facilities.csv <- RMP facility information
-  ├── naics-codes.csv <- Industry code mapping
-  ├── processed <- Once the pipeline is run, this folder will be populated
+  ├── raw  <- You must add these yourself
+  ├── submissions.csv  <- RMP submissions records
+  ├── facilities.csv  <- RMP facility information
+  ├── naics-codes.csv  <- Industry code mapping
+  ├── processed
   ├── urban_area_statistics.csv <- Fenceline-to-city ratios for each city
   ├── facilities_geo.geojson <- Cleaned and processed version of the RMP facilities dataset
   ├── US_bg_census.geojson <- Block group level American Community Survey data
-
+  ├── viz
+  ├── [city] <- Sub-directories for each city containing data needed for dot density map
  ├── src
-  ├── areal_interpolation.py <- Utility functions used to calculate the demographics of each community district
-  ├── get_census.py <- Script to download census data and create community district estimates
-  ├── get_census_geo.py <- Script to download required census shapefiles
-  ├── Neighborhood_scores.ipynb <- Notebook to create CD_building_info.csv and buildings_CD.csv
+  ├── data
+  ├── preprocess_RMP.py <- Fenceline-to-city ratios for each city
+  ├── clean_RMP.py <- Cleaned and processed version of the RMP facilities dataset
+  ├── download_census.py <- Block group level American Community Survey data
+  ├── analysis
+  ├── interpolate_census.py <- Fenceline-to-city ratios for each city
+  ├── national_map.py <- Cleaned and processed version of the RMP facilities dataset
+  ├── city_dot_density.py <- Block group level American Community Survey data
 
  ├── notebooks
   ├── ridgeplot.ipynb <- Creates ridgeplot for blog