Update README.md

README.md

@@ -1,43 +1,33 @@
 # AHRQ_pipeline
 
-Key Steps
+## Key Steps
 Load Libraries:
-
-caret
-data.table
-dplyr
-sets
-scales
-tidyr
-stringr
-Load Data:
-
-Load patient data from a CSV file.
-Load multiple 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:
-
+- caret
+- data.table
+- dplyr
+- sets
+- scales
+- tidyr
+- stringr
+
+## Summary of functionality: 
+
+### 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 the preprocessed AHRQ data with patient data using crosswalk variables:
 STATEFIPS
 ZIPCODE
 YEAR
-Write Output:
-
-Write the merged data to a CSV file.
-Additional Information
-The notebook includes code for data summarization and visualization using bar charts.
-Potential areas for further work include:
-Implementing imputation strategies.
-Exploring different merging approaches.
-Conducting further analysis on the merged data.
-For more details and the full code, please refer to the notebook itself.
-
-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
+## 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