diff --git a/edurate_gensim.py b/edurate_gensim.py
index b44e766..6a74e27 100644
--- a/edurate_gensim.py
+++ b/edurate_gensim.py
@@ -30,8 +30,7 @@ def create_tokens(list_responses):
     logging.info("Creating tokens")
     stoplist = get_stop_words('en')
     tokens = []
-
-    for res in list_responses:
+    # determines whether a word is profane and if not, adds it to a list of words that we'll analyze later
         temp = []
         for word in res.split():
             if not isinstance(word, int):
@@ -45,6 +44,7 @@ def create_tokens(list_responses):
 
 
 def dictionary_create(tokens):
+    # to clean up the data and show only a single instance of each word in the list while not losing the information of how common the word was, we make a dictionary with words and quantities.
     """Create the dictionary from the tokens of the answer."""
     dictionary = corpora.Dictionary(tokens)
 
diff --git a/graphing.py b/graphing.py
index bd5d81d..948841a 100644
--- a/graphing.py
+++ b/graphing.py
@@ -10,7 +10,7 @@
 
 def graph(data):
     """ Takes only most recent input data and then displays graphs """
-    # get all data because we need to see trend over time
+    # get all data because we need to see trend over time, given implementation of an arbitrary date retaining method, we would select a more specific range.
     data = convert_to_ints(data)
     # display generated graphs
     print(graph1(data))
diff --git a/read_responses.py b/read_responses.py
index 8bb7278..80c8d9e 100644
--- a/read_responses.py
+++ b/read_responses.py
@@ -14,6 +14,7 @@ def read_responses(filepath):
         csvdata = list(csv.reader(csvfile, delimiter=','))
 
     responses = list()
+    # We're separating the responses by timestamp here, not by student, so that we see the entirety of the number responses with the class as our scope.
     for record in csvdata[1:]:
         # date of response
         row = list()
diff --git a/spreadsheet.py b/spreadsheet.py
index ac3f80e..f2e1b69 100644
--- a/spreadsheet.py
+++ b/spreadsheet.py
@@ -16,6 +16,7 @@ def read_from_spreadsheet():
     logging.info(
         "Authenticating to Google Sheets to obtain Google Form data")
     # use creds to create a client to interact with the Google Drive API
+    # TODO >> create a configuration file that the user can edit for security measures and ease of access.
     scope = ['https://spreadsheets.google.com/feeds']
     creds = ServiceAccountCredentials.from_json_keyfile_name(
         'Edurate_Client.json', scope)
@@ -31,6 +32,7 @@ def read_from_spreadsheet():
 
 
 def get_graph_data(spreadsheet_list):
+    # This lets the program find question numbers and timestamps so that responses can be more easily separated and grouped according to graph data needs.
     """Format spreadsheet_list for graph."""
     new = list()
     for key in spreadsheet_list[0].keys():
@@ -50,6 +52,8 @@ def get_graph_data(spreadsheet_list):
 
 
 def flip_responses(data):
+    # Currently is not implemented outside of testing
+    # If it is necessary, it should be included in the operation of the program
     """Switch rows and columns in a list of lists."""
     if data == []:
         logging.error("Empty list given. No rows and columns to flip. Returning empty list.")
@@ -71,6 +75,7 @@ def flip_responses(data):
 
 
 def filter_dates(data):
+    # currently, the oldest date to save record for is arbitrary, having a better defined system for how to keep dates could be very useful.
     """Return a list of responses only from the latest date."""
     TIMESTAMP_LOCATION_INDEX = 0
     max_date = datetime(2000, 1, 1, 0, 0).date()
@@ -94,10 +99,11 @@ def filter_dates(data):
 
 def create_csv(spreadsheet_list):
     """Create CSV file with spreadsheet data."""
-    # returns True when funciton is completed
+    # returns True when funciton is completed, to inform us that the method works
     logging.info("Creating a list of lists of students")
     formatted_list = list()
     # grabs questions from spreadsheet
+    # currently implemented to run for exactly 10 questions, a solution that can implement an arbitrary number of questions would perhaps be more useful.
     for entry in spreadsheet_list:
         questions = [None] * 12
         for question, response in entry.items():