diff --git a/nested_data_answers.py b/nested_data_answers.py
index c334d05..8bbb53b 100644
--- a/nested_data_answers.py
+++ b/nested_data_answers.py
@@ -1,14 +1,3 @@
-# Import twitter_data.py in twitter_data in the current script
-# 	- Note the file name does not include the extension ('.py')
-#	- The * is a wildcard. It's telling python I want to import 
-# 	  everything from the file twitter_data.py
-from twitter_data import *
-# What is the difference between the above statement and the following:
-# import wtitter_data # You will need to comment the import above and uncomment this one to experiment
-					  # HINT: the code below assumes we are using the first type of import: 'from twitter_data import *'
-
-
-
 # Basic strategy:
 # ========================================================================================
 # 1. Check the type of the data structure
@@ -31,25 +20,25 @@
 
 
 # If it's a dictionary, what are its keys?
-# If it's a list, how many elements does it have?, and 
+# If it's a list, how many elements does it have?, and
 # what is the type of its first element?
 # ----------------------------------------------------------
 #print res.keys()
-#print type(res['statuses']) 
+#print type(res['statuses'])
 
 
-# Why the key "search_metadata" is not relevant 
+# Why the key "search_metadata" is not relevant
 # to our purposes?
 # ----------------------------------------------------------
 
 
 # What is the type associated to the key 'statuses'?
 # ----------------------------------------------------------
-#print type(res['statuses']) 
+#print type(res['statuses'])
 
 
 # If it's a dictionary, what type are its keys?
-# If it's a list, how many elements does it have?, and 
+# If it's a list, how many elements does it have?, and
 # what is the type of its first element?
 # ----------------------------------------------------------
 #print len(res['statuses']) # 3 elements
@@ -62,15 +51,15 @@
 #	print type(res['statuses'][i])
 
 
-# If it's the first element its a dictionary, 
+# If it's the first element its a dictionary,
 # what are its keys?
-# If it's a list, how many elements does it have?, and 
+# If it's a list, how many elements does it have?, and
 # what is the type of its first element?
 # ----------------------------------------------------------
 # print res['statuses'][0].keys()
 # print type(res['statuses'][0].keys()[0])
 
-# If it's a dictionary, how many keys does 
+# If it's a dictionary, how many keys does
 # the first dictionary have?
 # ----------------------------------------------------------
 #print len(res['statuses'][0].keys())
@@ -84,7 +73,7 @@
 #	print len(res['statuses'][i].keys())
 
 
-# Nested under 'statuses', there are dictionaries, 
+# Nested under 'statuses', there are dictionaries,
 # do they have a key that contains the username I am looking for?
 # If so, what is the type and value associated to it?
 # ----------------------------------------------------------
@@ -106,16 +95,16 @@
 # associated to it?
 # ----------------------------------------------------------
 # 'name'
-#print type(res['statuses'][0]['user']['name']) 
+#print type(res['statuses'][0]['user']['name'])
 #print res['statuses'][0]['user']['name']
 
 
 # Since you know there are three tweets in the database
 # You also know there is an equal number of usernames
 # corresponding to the users who twitted
-# By answerin the questions above, you have already found 
+# By answerin the questions above, you have already found
 # the first name
-# Can you iterate through the twitter data, so that you 
+# Can you iterate through the twitter data, so that you
 # access the other three names with a single print statement?
 # ----------------------------------------------------------
 #for i in range(len(res['statuses'])):
diff --git a/twitter_data.py b/twitter_data.py
index 9177978..806a47d 100644
--- a/twitter_data.py
+++ b/twitter_data.py
@@ -1,18 +1,7 @@
-res = {
-  "search_metadata": {
-    "count": 3,
-    "completed_in": 0.015,
-    "max_id_str": "536624519285583872",
-    "since_id_str": "0",
-    "next_results": "?max_id=536623674942439424&q=University%20of%20Michigan&count=3&include_entities=1",
-    "refresh_url": "?since_id=536624519285583872&q=University%20of%20Michigan&include_entities=1",
-    "since_id": 0,
-    "query": "University+of+Michigan",
-    "max_id": 536624519285583872
-  },
+
   "statuses": [
     {
-      "contributors": None,
+      "contributor1": None,
       "truncated": False,
       "text": "RT @mikeweber25: I'm decommiting from the university of Michigan thank you Michigan for the love and support I'll remake my decision at the\u2026",
       "in_reply_to_status_id": None,
@@ -54,9 +43,9 @@
         "retweeted": False,
         "coordinates": None,
         "entities": {
-          "symbols": [],
+          "symbols": [1,2,3],
           "user_mentions": [],
-          "hashtags": [],
+          "hashtags": [1,2,3],
           "urls": []
         },
         "in_reply_to_screen_name": None,
@@ -706,4 +695,3 @@
     }
   ]
 }
-