diff --git a/README.md b/README.md
index 43ff8f9..3bbf04a 100644
--- a/README.md
+++ b/README.md
@@ -6,16 +6,19 @@ A simple script to convert Apple Health's export.xml file to an easy to use csv.
 
 ## How to Run 
 
-### 1. Verify you have pandas installed on your machine or environment
+### 1. Verify you have Python 3 & Pandas installed on your machine or environment
+
+`python --version` should return _Python 3.x.x_ where x is any number. 
+
+If you have Python 2.x.x, please upgrade to Python 3 here: https://www.python.org/downloads/ (or specify your environment's Python version)
 
 `python -c "import pandas"` should return blank from the command line
 
-If you get a _**ModuleNotFoundError: No module named 'pandas'**_ error, install pandas:
+If you get a _**ModuleNotFoundError: No module named 'pandas'**_ error, install pandas and try again:
 
 `pip install pandas`
 
 
-
 ### 2. Export your Apple Health Data
 
    Go to your health home screen and click on the profile icon
@@ -39,7 +42,7 @@ Your data will be prepared, and then you can transfer the export.zip file to you
      
        
 
-### 4. Place the "apple_health_xml_convert.py" file into the folder alongside the files and run the script
+### 4. Place the "apple_health_xml_convert.py" file from this repo into the folder alongside the files and run the script
 
 `python apple_health_xml_convert.py`
 
@@ -54,3 +57,5 @@ The export will be written with the format:
 In Excel, the output should look something like this:
 
 <img style="float: left;" src="img/example_output.jpg">
+
+Note: This script removes the Apple Health data prefixes: `HKQuantityTypeIdentifier`, `HKCategoryTypeIdentifier`, and `HKCharacteristicTypeIdentifier` for increased legibility. Feel free to comment out those lines in the code with a `#` if you want to keep them in the CSV output.