From 4df27a251c51d4f3e5ab880981fa9e6398eba63b Mon Sep 17 00:00:00 2001
From: steve <steve.l.nyemba@vanderbilt.edu>
Date: Thu, 27 Sep 2018 10:49:19 -0500
Subject: [PATCH] Update 'README.md'

---
 README.md | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index eccaabd..4d48dee 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ This project is intended to compute an estimated value of risk for a given datab
     3. Compute risk via SQL using group by
 ## Python environment
 
-    The following are the dependencies needed to run the code:
+The following are the dependencies needed to run the code:
 
         pandas
         numpy
@@ -17,16 +17,17 @@ This project is intended to compute an estimated value of risk for a given datab
         
 ## Usage
 
-*Generate The merged dataset
-    
+**Generate The merged dataset**
+
     python risk.py create --i_dataset <in dataset|schema> --o_dataset <out dataset|schema> --table <name> --path <bigquery-key-file>  --key <patient-id-field-name> [--file ]
 
 
-* * Compute risk (marketer, prosecutor)
+**Compute risk (marketer, prosecutor)**
 
     python risk.py compute --i_dataset <dataset> --table <name> --path <bigquery-key-file>  --key <patient-id-field-name> 
 ## Limitations
     - It works against bigquery for now
+    
     @TODO:    
         - Need to write a transport layer (database interface)
         - Support for referential integrity, so one table can be selected and a dataset derived given referential integrity