Update README.md

README.md

@@ -17,8 +17,10 @@ Load Libraries:
 .
 ├── AHRQ_pipeline
 │ ├── compress_pharma.py
-│ └── merge_AHRQ.Rmd
-└── Data
+│ ├── merge_AHRQ.Rmd
+│ ├── gp_zipdata.json
+│ └── fsq_zipdata.json
+└── Data: _download from OneDrive_
  ├── AHRQ
  │ ├── COUNTY
  │ ├── TRACT
@@ -27,22 +29,17 @@ Load Libraries:
 ```
 
 ## Summary of functionality: 
+1. merge_AHRQ.Rmd: reads all available years of AHRQ SDOH data at ZIP code level. Generates summary plots, and includes template to merge SODH with patient data by ZIP code, year.
+2. compress_pharma.py: reads Georgia pharmacy locations, and generates summary statistics by writing a json file with zip codes (key) and the number of pharmacies in that zip code (value).
 
-### Load Data:
-- Load patient data from a CSV file. (select your desired geographic level & years from AHRQ SDOHD).
-- Load years of AHRQ SDOH data from CSV files.
-- Load a CSV file containing feature names for AHRQ SDOH variables.
-
-### Preprocess AHRQ Data:
-- Merge AHRQ data from multiple years into a single data frame.
-- Pad ZIP codes and STATEFIPS codes with leading zeros for consistency.
-- Optionally perform imputation for missing values.
-
-### Merge Data:
+### Merge Data: recommended approaches for merging this SDOH data with patient data.
 Merge the preprocessed AHRQ data with patient data using crosswalk variables:
-STATEFIPS
-ZIPCODE
-YEAR
+- STATEFIPS
+- ZIPCODE
+- YEAR
+Merge the Georgia pharmacy location data with patient data using crosswalk variables:
+- zipcode
+- can optionally select either 'gp' or 'fsq' as the data source for Georgia pharmacy location data (see gp_zipdata.json, fsq_zipdata.json), or use both sources combined (
 
 ## The AHRQ SDOHD data used in this notebook can be accessed from the following link:
 - AHRQ SDOHD: https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html#download