diff --git a/1_1/1_1_concatenate_into_streamT.py b/1_1/1_1_concatenate_into_streamT.py
new file mode 100644
index 0000000..7f6357a
--- /dev/null
+++ b/1_1/1_1_concatenate_into_streamT.py
@@ -0,0 +1,59 @@
+#Kasane Utsumi - 3/14/2015
+#1_1_concatenate_into_streamT.py
+#This code dumps all seven collections starting with db_streamT%StartDate% (%StartDate% is a passed command line argument) into db_streamT
+
+import os
+import json
+import pymongo
+import sys
+from bson.json_util import dumps
+
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+#clear table
+db_streamT.drop()
+
+stream1 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[1]]
+stream2 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[2]]
+stream3 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[3]]
+stream4 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[4]]
+stream5 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[5]]
+stream6 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[6]]
+stream7 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[7]]
+
+#get total count for all collection so I can compare with count of db_streamT after filling it up so I know that concatenation was successful. 
+individualTotal =  stream1.find().count() +  stream2.find().count() + stream3.find().count() + stream4.find().count() + stream5.find().count() + stream6.find().count() + stream7.find().count()
+
+
+#clear the current content
+db_streamT.drop()
+
+def addThisCollection(collection):
+    for content in collection.find():
+       db_streamT.insert(content)
+
+addThisCollection(stream1)
+addThisCollection(stream2)
+addThisCollection(stream3)
+addThisCollection(stream4)
+addThisCollection(stream5)
+addThisCollection(stream6)
+addThisCollection(stream7)
+
+print "individual total is " + str(individualTotal)
+print "StreamT length is " + str(db_streamT.find().count())
+print "Number of items match?: " + str(individualTotal == db_streamT.find().count())
+
diff --git a/1_1/1_1_concatenate_into_streamT.py~ b/1_1/1_1_concatenate_into_streamT.py~
new file mode 100644
index 0000000..7f6357a
--- /dev/null
+++ b/1_1/1_1_concatenate_into_streamT.py~
@@ -0,0 +1,59 @@
+#Kasane Utsumi - 3/14/2015
+#1_1_concatenate_into_streamT.py
+#This code dumps all seven collections starting with db_streamT%StartDate% (%StartDate% is a passed command line argument) into db_streamT
+
+import os
+import json
+import pymongo
+import sys
+from bson.json_util import dumps
+
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+#clear table
+db_streamT.drop()
+
+stream1 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[1]]
+stream2 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[2]]
+stream3 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[3]]
+stream4 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[4]]
+stream5 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[5]]
+stream6 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[6]]
+stream7 = mongoConnection['twitter_analyzer']['db_streamT' + sys.argv[7]]
+
+#get total count for all collection so I can compare with count of db_streamT after filling it up so I know that concatenation was successful. 
+individualTotal =  stream1.find().count() +  stream2.find().count() + stream3.find().count() + stream4.find().count() + stream5.find().count() + stream6.find().count() + stream7.find().count()
+
+
+#clear the current content
+db_streamT.drop()
+
+def addThisCollection(collection):
+    for content in collection.find():
+       db_streamT.insert(content)
+
+addThisCollection(stream1)
+addThisCollection(stream2)
+addThisCollection(stream3)
+addThisCollection(stream4)
+addThisCollection(stream5)
+addThisCollection(stream6)
+addThisCollection(stream7)
+
+print "individual total is " + str(individualTotal)
+print "StreamT length is " + str(db_streamT.find().count())
+print "Number of items match?: " + str(individualTotal == db_streamT.find().count())
+
diff --git a/1_1/1_1_store_tweets_into_db_streamT.py b/1_1/1_1_store_tweets_into_db_streamT.py
new file mode 100644
index 0000000..58a1943
--- /dev/null
+++ b/1_1/1_1_store_tweets_into_db_streamT.py
@@ -0,0 +1,59 @@
+#Kasane Utsumi - 3/14/2015
+#1_1_store_tweets_into_db_streamT.py
+#This file retrieves tweets by search term “"#microsoft OR #mojang" specified by date range and dumps them into db_streamT%StartDate%(replace ‘%StartDate%’ with start date that was passed to the command.) database. 
+
+import tweepy
+import urllib
+import pymongo
+import sys
+import json
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+
+#configure tweepy
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#get string to search for and start and end date from urllib
+q = urllib.quote_plus("#microsoft OR #mojang")
+start = urllib.quote_plus(sys.argv[1])
+end = urllib.quote_plus(sys.argv[2])
+
+#set up mongodb collection
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables - will create separate table for each day and merge all of the tables into db_streamT later. 
+#I will do this so that if error happens while getting tweets for one day I don't have to run the program
+# for entire week again. 
+database = mongoConnection['twitter_analyzer']
+db_streamT = database['db_streamT' + start]
+
+#clean table is there are any data
+db_streamT.drop()
+
+# Additional query parameters:
+# since: {date}
+# until: {date}
+# Just add them to the 'q' variable: q+" since: 2014-01-01 until: 2014-01-02"
+
+try:
+   for tweet in tweepy.Cursor(api.search,q=q+" since:" + start + " until:" + end).items():
+      db_streamT.insert(tweet._json)
+except:
+      print "tweet retrieval failed, exiting"
+      exit()       
diff --git a/1_1/1_1_store_tweets_into_db_streamT.py~ b/1_1/1_1_store_tweets_into_db_streamT.py~
new file mode 100644
index 0000000..198558c
--- /dev/null
+++ b/1_1/1_1_store_tweets_into_db_streamT.py~
@@ -0,0 +1,59 @@
+#Kasane Utsumi - 3/14/2015
+#1_1_store_tweets_into_db_streamT.py
+#This file retrieves tweets by search term “"#microsoft OR #mojang" specified by date range and dumps them into db_streamT%StartDate%(replace ‘%StartDate%’ with start date that was passed to the command.) database. 
+
+import tweepy
+import urllib
+import pymongo
+import sys
+import json
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+
+#configure tweepy
+consumer_key = "10G4NlBUpM9nusmE9nSoeGQnk"
+consumer_secret = "KcH2Ykf253L0tTCuzIyqDUPnkEZ7mZhIiHCYiS84LbZNCsQwRu"
+access_token = "2988143343-waN3T7DFy7j0Yn95hDdXOMLpdRfHzG66SnOZlHO"
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#get string to search for and start and end date from urllib
+q = urllib.quote_plus("#microsoft OR #mojang")
+start = urllib.quote_plus(sys.argv[1])
+end = urllib.quote_plus(sys.argv[2])
+
+#set up mongodb collection
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables - will create separate table for each day and merge all of the tables into db_streamT later. 
+#I will do this so that if error happens while getting tweets for one day I don't have to run the program
+# for entire week again. 
+database = mongoConnection['twitter_analyzer']
+db_streamT = database['db_streamT' + start]
+
+#clean table is there are any data
+db_streamT.drop()
+
+# Additional query parameters:
+# since: {date}
+# until: {date}
+# Just add them to the 'q' variable: q+" since: 2014-01-01 until: 2014-01-02"
+
+try:
+   for tweet in tweepy.Cursor(api.search,q=q+" since:" + start + " until:" + end).items():
+      db_streamT.insert(tweet._json)
+except:
+      print "tweet retrieval failed, exiting"
+      exit()       
diff --git a/1_2/1_2_fill_db_tweets.py b/1_2/1_2_fill_db_tweets.py
new file mode 100644
index 0000000..9779cd0
--- /dev/null
+++ b/1_2/1_2_fill_db_tweets.py
@@ -0,0 +1,42 @@
+#Kasane Utsumi - 3/14/2015
+#1_2_fill_db_tweets.py
+#This file takes all tweets (with entire tweet information in json format) from db_streamT and stores tweet text ONLY into db_tweets collection.
+
+import os
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+if db_streamT == None
+   print "db_streamT not found! exiting..." 
+   exit()
+
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+
+#clear the current content
+db_tweets.drop()
+
+#extract tweet from tweet json 
+for tJson in db_streamT.find():
+   #print json.loads(dumps(tJson["text"])).encode('utf8')
+   tweetOnlyEntry = {"text" : json.loads(dumps(tJson["text"]))}
+   db_tweets.insert(tweetOnlyEntry)
+
+#check that addition happened fine
+print "Does length of db_streamT equal that of db_tweets?" + str(db_streamT.find().count() == db_tweets.find().count())
diff --git a/1_2/1_2_fill_db_tweets.py~ b/1_2/1_2_fill_db_tweets.py~
new file mode 100644
index 0000000..9779cd0
--- /dev/null
+++ b/1_2/1_2_fill_db_tweets.py~
@@ -0,0 +1,42 @@
+#Kasane Utsumi - 3/14/2015
+#1_2_fill_db_tweets.py
+#This file takes all tweets (with entire tweet information in json format) from db_streamT and stores tweet text ONLY into db_tweets collection.
+
+import os
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+if db_streamT == None
+   print "db_streamT not found! exiting..." 
+   exit()
+
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+
+#clear the current content
+db_tweets.drop()
+
+#extract tweet from tweet json 
+for tJson in db_streamT.find():
+   #print json.loads(dumps(tJson["text"])).encode('utf8')
+   tweetOnlyEntry = {"text" : json.loads(dumps(tJson["text"]))}
+   db_tweets.insert(tweetOnlyEntry)
+
+#check that addition happened fine
+print "Does length of db_streamT equal that of db_tweets?" + str(db_streamT.find().count() == db_tweets.find().count())
diff --git a/2_1/.hello.txt.swp b/2_1/.hello.txt.swp
new file mode 100644
index 0000000..c95007c
Binary files /dev/null and b/2_1/.hello.txt.swp differ
diff --git a/2_1/2_1_get_top_30_retweets.py b/2_1/2_1_get_top_30_retweets.py
new file mode 100644
index 0000000..551a98b
--- /dev/null
+++ b/2_1/2_1_get_top_30_retweets.py
@@ -0,0 +1,104 @@
+#Kasane Utsumi - 3/14/2015
+#2_1_get_top_retweets.py
+#This retrieves top 30 tweets using information in db_tweets and db_streamT and them dump top 30 retweeted users into db_top30RetweetedUsers.
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+db_retweets = mongoConnection['twitter_analyzer'].db_all_retweets
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+db_retweets.drop()
+db_top30RetweetedUsers.drop()
+
+#create a dictionary of retweeted id is key, and number of occurrence as a value 
+retweetDict = dict()
+
+#also, dump all of the tweets into db_all_retweets so it would be easy to get user and location for top 30 later. 
+
+for tJson in db_tweets.find(timeout=False): 
+   
+   tweetText = tJson['text']
+
+   #print "tweet is " +   tweetText.encode('utf8')
+   
+   if tweetText.startswith("RT"): # thi s could be retweet. Look in db_streamT to see if corresponding tweet has a retweeted_status
+   
+      #print "starts with RT"
+
+      fullTweets = db_streamT.find({'text':tweetText})
+   
+      for correspondingTweet in fullTweets: #iterate just in case if there is > 1 tweet with identical name
+     
+         if 'retweeted_status' in correspondingTweet: #Now we are sure that this is a retweet because of existence of retweeted_status
+            
+            retweet = correspondingTweet['retweeted_status'] 
+            id = retweet['id'] 
+            
+            #print "original tweet id" + str(id)
+
+            retweetDBEntry = {"id" : id, "retweetJson" : retweet} 
+            
+            db_retweets.insert(retweetDBEntry) 
+            if id in retweetDict: 
+               retweetDict[id] += 1 
+            else: retweetDict[id] = 1 
+
+  
+#check the dictionary to make sure it has what I want 
+#for key in retweetDict: 
+#   if (retweetDict[key] >1): 
+#      print str(key) + " " + str(retweetDict[key]) 
+
+#convert retweetDict into tuples so I can sort by number of frequencies, then sort by frequncy 
+retweetTuple = sorted(tuple(retweetDict.iteritems()),key=lambda x: (-x[1],x[0]))
+
+#check the tuple to see if it has what I want
+#for (id,frequency) in retweetTuple:
+#   if frequency > 1:
+#      print str(id) + " " +str(frequency)
+
+#exit()
+
+#print out the top tweeted user , also store them in top30_users collection so they can be retreived for other analysis
+tupleIndex = 0
+for (id,frequency) in retweetTuple:
+   retweet = db_retweets.find_one({"id":id})
+   
+   if (retweet == None):
+      print "Something went wrong, could not find retweet with id" + str(id)
+   else:
+      retweetJson = json.loads(dumps(retweet["retweetJson"]))
+      topTweetedUser = retweetJson['user']
+
+      userDBEntry = {"id": topTweetedUser['id'], "userInfo" : topTweetedUser, "frequency": frequency}
+      db_top30RetweetedUsers.insert(userDBEntry)
+ 
+      #print out retweet, user name and location
+      print "Top Retweet Rank " + str(tupleIndex+1) 
+      print "Tweet: " + retweetJson["text"].encode('utf8')
+      print "User: " + topTweetedUser["name"].encode('utf8') + "(" + str(topTweetedUser["id"]) + ")" + " at " + topTweetedUser['location'].encode('utf8') + " - has follower count" + str(topTweetedUser['followers_count'])
+      print " "
+ 
+      #get only top 30
+      tupleIndex = tupleIndex + 1   
+      if tupleIndex == 30:
+         exit()
diff --git a/2_1/2_1_get_top_30_retweets.py~ b/2_1/2_1_get_top_30_retweets.py~
new file mode 100644
index 0000000..d966a70
--- /dev/null
+++ b/2_1/2_1_get_top_30_retweets.py~
@@ -0,0 +1,104 @@
+#Kasane Utsumi - 3/14/2015
+#2_1_get_top_retweets.py
+#This code dumps all seven collections starting with db_streamT%StartDate% (%StartDate% is a passed command line argument) into db_streamT
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+db_retweets = mongoConnection['twitter_analyzer'].db_all_retweets
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+db_retweets.drop()
+db_top30RetweetedUsers.drop()
+
+#create a dictionary of retweeted id is key, and number of occurrence as a value 
+retweetDict = dict()
+
+#also, dump all of the tweets into db_all_retweets so it would be easy to get user and location for top 30 later. 
+
+for tJson in db_tweets.find(timeout=False): 
+   
+   tweetText = tJson['text']
+
+   #print "tweet is " +   tweetText.encode('utf8')
+   
+   if tweetText.startswith("RT"): # thi s could be retweet. Look in db_streamT to see if corresponding tweet has a retweeted_status
+   
+      #print "starts with RT"
+
+      fullTweets = db_streamT.find({'text':tweetText})
+   
+      for correspondingTweet in fullTweets: #iterate just in case if there is > 1 tweet with identical name
+     
+         if 'retweeted_status' in correspondingTweet: #Now we are sure that this is a retweet because of existence of retweeted_status
+            
+            retweet = correspondingTweet['retweeted_status'] 
+            id = retweet['id'] 
+            
+            #print "original tweet id" + str(id)
+
+            retweetDBEntry = {"id" : id, "retweetJson" : retweet} 
+            
+            db_retweets.insert(retweetDBEntry) 
+            if id in retweetDict: 
+               retweetDict[id] += 1 
+            else: retweetDict[id] = 1 
+
+  
+#check the dictionary to make sure it has what I want 
+#for key in retweetDict: 
+#   if (retweetDict[key] >1): 
+#      print str(key) + " " + str(retweetDict[key]) 
+
+#convert retweetDict into tuples so I can sort by number of frequencies, then sort by frequncy 
+retweetTuple = sorted(tuple(retweetDict.iteritems()),key=lambda x: (-x[1],x[0]))
+
+#check the tuple to see if it has what I want
+#for (id,frequency) in retweetTuple:
+#   if frequency > 1:
+#      print str(id) + " " +str(frequency)
+
+#exit()
+
+#print out the top tweeted user , also store them in top30_users collection so they can be retreived for other analysis
+tupleIndex = 0
+for (id,frequency) in retweetTuple:
+   retweet = db_retweets.find_one({"id":id})
+   
+   if (retweet == None):
+      print "Something went wrong, could not find retweet with id" + str(id)
+   else:
+      retweetJson = json.loads(dumps(retweet["retweetJson"]))
+      topTweetedUser = retweetJson['user']
+
+      userDBEntry = {"id": topTweetedUser['id'], "userInfo" : topTweetedUser, "frequency": frequency}
+      db_top30RetweetedUsers.insert(userDBEntry)
+ 
+      #print out retweet, user name and location
+      print "Top Retweet Rank " + str(tupleIndex+1) 
+      print "Tweet: " + retweetJson["text"].encode('utf8')
+      print "User: " + topTweetedUser["name"].encode('utf8') + "(" + str(topTweetedUser["id"]) + ")" + " at " + topTweetedUser['location'].encode('utf8') + " - has follower count" + str(topTweetedUser['followers_count'])
+      print " "
+ 
+      #get only top 30
+      tupleIndex = tupleIndex + 1   
+      if tupleIndex == 30:
+         exit()
diff --git a/2_1/final_top30_retweets.txt b/2_1/final_top30_retweets.txt
new file mode 100644
index 0000000..7aea4e8
--- /dev/null
+++ b/2_1/final_top30_retweets.txt
@@ -0,0 +1,120 @@
+Top Retweet Rank 1
+Tweet: @iamhardwellfan @FakeContestAlrt @LumiaIndia sponsor of #fakecontest @NargisFakhri #romanceurcity #microsoft #fake no winner announcement
+User: Sanjay(2206092889) at  - has follower count2758
+ 
+Top Retweet Rank 2
+Tweet: DRINGEND VERZOEK aan Microsoft: wilt u mij niet meer tien keer per dag thuis laten bellen vanuit India voor marketingdoeleinden? #Microsoft
+User: Ton Elias(133272665) at Netherlands - has follower count16568
+ 
+Top Retweet Rank 3
+Tweet: All versions of #Microsoft Windows are vulnerable to SSL/TLS FREAK #vulnerability — http://t.co/8TkisXHjWt http://t.co/ZFkCySwbne
+User: The Hacker News(209811713) at THE INTERNET - has follower count188559
+ 
+Top Retweet Rank 4
+Tweet: Epic Organizational Charts #Microsoft #Apple #Oracle http://t.co/biNu2Q109a
+User: Oliver Hansen(759826807) at Geel, Belgium - has follower count24176
+ 
+Top Retweet Rank 5
+Tweet: #Microsoft's new #Lumia #phones come with a free year of #Office 365 http://t.co/Uw3W1Hg1jD #tech #devbattles http://t.co/isAE07v5iY
+User: Dev Battles(2377678050) at  - has follower count7086
+ 
+Top Retweet Rank 6
+Tweet: Le cofondateur de #Microsoft a découvert l'épave d'un cuirassé géant japonais, coulé en 1944 http://t.co/O72Wn8Kowh http://t.co/1cxtqoOYHT
+User: Le Monde(24744541) at Paris - has follower count3579368
+ 
+Top Retweet Rank 7
+Tweet: VIDEO:Cofundador de #Microsoft halla en el fondo del mar al acorazado más letal de la historia http://t.co/uk1YMdgcYp http://t.co/gkEFhgtN9A
+User: RT en Español(100731315) at  - has follower count540132
+ 
+Top Retweet Rank 8
+Tweet: VIDEO:Cofundador de #Microsoft halla en el fondo del mar al acorazado más letal de la historia http://t.co/uk1YMdgcYp http://t.co/gkEFhgtN9A
+User: RT en Español(100731315) at  - has follower count540130
+ 
+Top Retweet Rank 9
+Tweet: New #free ebook! #Microsoft #Azure Essentials: Azure Automation http://t.co/3V6buNJiBr #MSDev #ITPro http://t.co/G81Zhed3j9
+User: Microsoft Press(19601111) at Redmond, WA - has follower count158331
+ 
+Top Retweet Rank 10
+Tweet: VIDEO:Cofundador de #Microsoft halla en el fondo del mar al acorazado más letal de la historia http://t.co/uk1YMdgcYp http://t.co/gkEFhgtN9A
+User: RT en Español(100731315) at  - has follower count540126
+ 
+Top Retweet Rank 11
+Tweet: #Microsoft #Yammer støtter nå #Handoff for #Mac #Yosemite #iphone #ipad >>> Yammer Now Supports Handoff - YouTube https://t.co/oCQ1h1j8qX
+User: Arno Vaa(3049567425) at Oslo, Norway - has follower count11
+ 
+Top Retweet Rank 12
+Tweet: #LoMásLeídoDeLaSemana Cofundador #Microsoft halla el acorazado más letal de la historia VIDEO http://t.co/uk1YMdgcYp http://t.co/K1eOMSogGf
+User: RT en Español(100731315) at  - has follower count540158
+ 
+Top Retweet Rank 13
+Tweet: Ranking:Top 20 #InternetofThings companies right now #Intel #1 http://t.co/Y6vnYct1R3 #IoT #Microsoft #Cisco #Google http://t.co/Ip1vZ0wetK
+User: IoT Analytics(2809878539) at Berlin, Germany - has follower count169
+ 
+Top Retweet Rank 14
+Tweet: #LoMásLeídoDeLaSemana Cofundador #Microsoft halla el acorazado más letal de la historia VIDEO http://t.co/uk1YMdgcYp http://t.co/K1eOMSogGf
+User: RT en Español(100731315) at  - has follower count540159
+ 
+Top Retweet Rank 15
+Tweet: El cofundador de #Microsoft halla en aguas filipinas un acorazado japonés hundido http://t.co/WK3GD7VphS http://t.co/VfIPuJjw5y
+User: ABC.es(19923515) at Madrid - has follower count716491
+ 
+Top Retweet Rank 16
+Tweet: What is The Cloud & Why Move? > http://t.co/PHPkWLShkK < http://t.co/HQvA1lqCSF #thecloud #cloudcomputing #Azure #Microsoft #videomarketing
+User: Queue Associates(160549126) at NYC - London - Hong Kong  - has follower count278
+ 
+Top Retweet Rank 17
+Tweet: Logging in with Google, #Microsoft and Facebook SDKs to #Azure Mobile Services: http://t.co/mcmPFrU36B http://t.co/ZLKZWr0kBj
+User: Microsoft Azure(17000457) at Redmond, WA - has follower count303879
+ 
+Top Retweet Rank 18
+Tweet: New #free ebook! #Microsoft #SystemCenter Software Update Management Field Experience http://t.co/mrpkp5Sclr #ITPro http://t.co/0ScgyZt0qF
+User: Microsoft Press(19601111) at Redmond, WA - has follower count158327
+ 
+Top Retweet Rank 19
+Tweet: #Microsoft #XboxOne DirectX 12 boosts the Xbox One GPU by 20% http://t.co/TWMyDJer7K http://t.co/h6rBwTtwYH
+User: The Inner Circle(2576487215) at Xbox Live Gamertag TiC Podcast - has follower count3491
+ 
+Top Retweet Rank 20
+Tweet: 戦艦「武蔵」を発見　マイクロソフト創業者がツイッターで発表（産経新聞） http://t.co/shaYyO6szO #microsoft
+User: Microsoft なう(152585619) at 日本国東京都港区港南 - has follower count150067
+ 
+Top Retweet Rank 21
+Tweet: "Very soon you will see #Collector working on the #Windows platform" #EsriEPC - @msretail #Microsoft #Esri #mobile
+User: Esri Business Team(132987218) at Redlands, CA - has follower count932
+ 
+Top Retweet Rank 22
+Tweet: Update: #Microsoft warns #PCs are also vulnerable to '#Freak' #security flaw: http://t.co/JSJYjwwqER #Tech #CyberSecurity
+User: Debnicolina(83316868) at  Sicilia,Italia|Global|✈&Hotel - has follower count27263
+ 
+Top Retweet Rank 23
+Tweet: 8で採用されたチャームは不評だったので、廃止する方向!? Windows 10、状態の確認や各種設定が行える「アクションセンター」 http://t.co/GO3qfdPlwU #Windows10 #Microsoft http://t.co/riAZJSrH6C
+User: ASCII.jp編集部(320548088) at 東京都千代田区の飯田橋 - has follower count27697
+ 
+Top Retweet Rank 24
+Tweet: Movistar TV Go integrará #Cortana, el asistente personal de voz de #Microsoft @MicrosoftES @LumiaES #MWC15 http://t.co/WBeXJ56W2Q
+User: Solange Cummins(291140092) at  - has follower count1026
+ 
+Top Retweet Rank 25
+Tweet: #Microsoft #XboxOne Microsoft working on a hardcore game controller for Xbox One http://t.co/iULMpm6TUZ http://t.co/cBl4rwyKC5
+User: The Inner Circle(2576487215) at Xbox Live Gamertag TiC Podcast - has follower count3492
+ 
+Top Retweet Rank 26
+Tweet: #Microsoft lays off 18k workers http://t.co/FUqxsZzm1l but files for 4k #H1B foreign workers http://t.co/30oSipwIYn #immigration
+User: Susan Pai(15497093) at Jacksonville, FL - has follower count2575
+ 
+Top Retweet Rank 27
+Tweet: First look: #Microsoft's all-new Office 2016 for #Mac public preview http://t.co/GAWV8OX1mB http://t.co/fRU7mLlD5U
+User: AppleInsider(20542450) at Cupertino, California - has follower count203540
+ 
+Top Retweet Rank 28
+Tweet: 戦艦「武蔵」発見、8年にわたる探索実る　ポール・アレン氏、乗組員悼み日本政府と協力の意向 http://t.co/Eie1itVIAu #microsoft
+User: Microsoft なう(152585619) at 日本国東京都港区港南 - has follower count150066
+ 
+Top Retweet Rank 29
+Tweet: Microsoft’s mind-blowing vision of the future. See more here: http://t.co/yIjqVsiFMg via @GeekWire #Microsoft #Futuretech
+User: Why Microsoft(159223609) at Redmond, WA - has follower count146928
+ 
+Top Retweet Rank 30
+Tweet: Microsoft has created 3 billionaires and about 12,000 millionaires.#Microsoft #billionair
+User: Strong facts(2837996969) at US - has follower count7759
+ 
diff --git a/2_1/old_please_ignore/test.py b/2_1/old_please_ignore/test.py
new file mode 100644
index 0000000..4e323e3
--- /dev/null
+++ b/2_1/old_please_ignore/test.py
@@ -0,0 +1,91 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+#create a dictionary of retweeted id is key, and number of occurrence as a value 
+retweetDict = dict()
+
+#also, dump all of the tweets into db_all_retweets so it would be easy to get user and location for top 30 later. 
+
+for tJson in db_tweets.find(): 
+   
+   tweetText = tJson['text']
+
+   #print "tweet is " +   tweetText.encode('utf8')
+   
+   if tweetText.startswith("RT"): # thi s could be retweet. Look in db_streamT to see if corresponding tweet has a retweeted_status
+   
+      #print "starts with RT"
+
+      fullTweets = db_streamT.find({'text':tweetText})
+   
+      for correspondingTweet in fullTweets: #iterate just in case if there is > 1 tweet with identical name
+     
+         if 'retweeted_status' in correspondingTweet: #Now we are sure that this is a retweet because of existence of retweeted_status
+            
+            retweet = correspondingTweet['retweeted_status'] 
+            id = retweet['id'] 
+            
+            #print "original tweet id" + str(id)
+
+            if id in retweetDict: 
+               retweetDict[id] += 1 
+            else: retweetDict[id] = 1 
+
+  
+#check the dictionary to make sure it has what I want 
+#for key in retweetDict: 
+#   if (retweetDict[key] >1): 
+#      print str(key) + " " + str(retweetDict[key]) 
+
+#convert retweetDict into tuples so I can sort by number of frequencies, then sort by frequncy 
+retweetTuple = sorted(tuple(retweetDict.iteritems()),key=lambda x: (-x[1],x[0]))
+
+#check the tuple to see if it has what I want
+#for (id,frequency) in retweetTuple:
+#   if frequency > 1:
+#      print str(id) + " " +str(frequency)
+
+exit()
+
+#print out the top tweeted user , also store them in top30_users collection so they can be retreived for other analysis
+tupleIndex = 0
+for (id,frequency) in retweetTuple:
+   retweet = db_retweets.find_one({"id":id})
+   
+   if (retweet == None):
+      print "Something went wrong, could not find retweet with id" + str(id)
+   else:
+      retweetJson = json.loads(dumps(retweet["retweetJson"]))
+      topTweetedUser = retweetJson['user']
+
+ 
+      #print out retweet, user name and location
+      print "Top Retweet Rank " + str(tupleIndex+1) 
+      print "Tweet: " + retweetJson["text"].encode('utf8')
+      print "User: " + topTweetedUser["name"].encode('utf8') + " " + topTweetedUser["id"] + " at " + topTweetedUser['location'].encode('utf8')
+      print " "
+ 
+      #get only top 30
+      tupleIndex = tupleIndex + 1   
+      if tupleIndex == 30:
+         exit()
diff --git a/2_1/old_please_ignore/top30WithFollowers.txt b/2_1/old_please_ignore/top30WithFollowers.txt
new file mode 100644
index 0000000..74f3f28
--- /dev/null
+++ b/2_1/old_please_ignore/top30WithFollowers.txt
@@ -0,0 +1,29 @@
+93268224 11
+209811713 183045
+102957958 19220
+35120520 453763
+52660746 226488
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+288708452 377
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+1413081085 1410
+254439807 1620
diff --git a/2_1/old_please_ignore/topTweet.txt b/2_1/old_please_ignore/topTweet.txt
new file mode 100644
index 0000000..cdc1c61
--- /dev/null
+++ b/2_1/old_please_ignore/topTweet.txt
@@ -0,0 +1,1309 @@
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+ 
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+ 
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+ 
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+Tweet: VIDEO:Cofundador de #Microsoft halla en el fondo del mar al acorazado más letal de la historia http://t.co/uk1YMdgcYp http://t.co/gkEFhgtN9A
+User: RT en Español at 
+ 
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+User: RT en Español at 
+ 
+Top Retweet Rank 9
+Tweet: New #free ebook! #Microsoft #Azure Essentials: Azure Automation http://t.co/3V6buNJiBr #MSDev #ITPro http://t.co/G81Zhed3j9
+User: Microsoft Press at Redmond, WA
+ 
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+Tweet: VIDEO:Cofundador de #Microsoft halla en el fondo del mar al acorazado más letal de la historia http://t.co/uk1YMdgcYp http://t.co/gkEFhgtN9A
+User: RT en Español at 
+ 
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+Tweet: #Microsoft #Yammer støtter nå #Handoff for #Mac #Yosemite #iphone #ipad >>> Yammer Now Supports Handoff - YouTube https://t.co/oCQ1h1j8qX
+User: Arno Vaa at Oslo, Norway
+ 
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+Tweet: #LoMásLeídoDeLaSemana Cofundador #Microsoft halla el acorazado más letal de la historia VIDEO http://t.co/uk1YMdgcYp http://t.co/K1eOMSogGf
+User: RT en Español at 
+ 
+Top Retweet Rank 13
+Tweet: Ranking:Top 20 #InternetofThings companies right now #Intel #1 http://t.co/Y6vnYct1R3 #IoT #Microsoft #Cisco #Google http://t.co/Ip1vZ0wetK
+User: IoT Analytics at Berlin, Germany
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+Tweet: #LoMásLeídoDeLaSemana Cofundador #Microsoft halla el acorazado más letal de la historia VIDEO http://t.co/uk1YMdgcYp http://t.co/K1eOMSogGf
+User: RT en Español at 
+ 
+Top Retweet Rank 15
+Tweet: El cofundador de #Microsoft halla en aguas filipinas un acorazado japonés hundido http://t.co/WK3GD7VphS http://t.co/VfIPuJjw5y
+User: ABC.es at Madrid
+ 
+Top Retweet Rank 16
+Tweet: What is The Cloud & Why Move? > http://t.co/PHPkWLShkK < http://t.co/HQvA1lqCSF #thecloud #cloudcomputing #Azure #Microsoft #videomarketing
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+ 
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+ 
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+ 
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+Tweet: #Microsoft #XboxOne DirectX 12 boosts the Xbox One GPU by 20% http://t.co/TWMyDJer7K http://t.co/h6rBwTtwYH
+User: The Inner Circle at Xbox Live Gamertag TiC Podcast
+ 
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+Tweet: "Very soon you will see #Collector working on the #Windows platform" #EsriEPC - @msretail #Microsoft #Esri #mobile
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+Tweet: Update: #Microsoft warns #PCs are also vulnerable to '#Freak' #security flaw: http://t.co/JSJYjwwqER #Tech #CyberSecurity
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+ 
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+Tweet: 8で採用されたチャームは不評だったので、廃止する方向!? Windows 10、状態の確認や各種設定が行える「アクションセンター」 http://t.co/GO3qfdPlwU #Windows10 #Microsoft http://t.co/riAZJSrH6C
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+ 
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+Tweet: Movistar TV Go integrará #Cortana, el asistente personal de voz de #Microsoft @MicrosoftES @LumiaES #MWC15 http://t.co/WBeXJ56W2Q
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+ 
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+Tweet: #Microsoft #XboxOne Microsoft working on a hardcore game controller for Xbox One http://t.co/iULMpm6TUZ http://t.co/cBl4rwyKC5
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+ 
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+Tweet: #Microsoft lays off 18k workers http://t.co/FUqxsZzm1l but files for 4k #H1B foreign workers http://t.co/30oSipwIYn #immigration
+User: Susan Pai at Jacksonville, FL
+ 
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+Tweet: First look: #Microsoft's all-new Office 2016 for #Mac public preview http://t.co/GAWV8OX1mB http://t.co/fRU7mLlD5U
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+User: Microsoft なう at 日本国東京都港区港南
+ 
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+Tweet: Microsoft’s mind-blowing vision of the future. See more here: http://t.co/yIjqVsiFMg via @GeekWire #Microsoft #Futuretech
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+ 
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+Tweet: Microsoft has created 3 billionaires and about 12,000 millionaires.#Microsoft #billionair
+User: Strong facts at US
+ 
diff --git a/2_1/test.py~ b/2_1/test.py~
new file mode 100644
index 0000000..4912642
--- /dev/null
+++ b/2_1/test.py~
@@ -0,0 +1,102 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+db_retweets = mongoConnection['twitter_analyzer'].db_all_retweets
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+#db_retweets.drop()
+#db_top30RetweetedUsers.drop()
+
+#create a dictionary of retweeted id is key, and number of occurrence as a value 
+retweetDict = dict()
+
+#also, dump all of the tweets into db_all_retweets so it would be easy to get user and location for top 30 later. 
+
+for tJson in db_tweets.find(): 
+   
+   tweetText = tJson['text']
+
+   #print "tweet is " +   tweetText.encode('utf8')
+   
+   if tweetText.startswith("RT"): # thi s could be retweet. Look in db_streamT to see if corresponding tweet has a retweeted_status
+   
+      #print "starts with RT"
+
+      fullTweets = db_streamT.find({'text':tweetText})
+   
+      for correspondingTweet in fullTweets: #iterate just in case if there is > 1 tweet with identical name
+     
+         if 'retweeted_status' in correspondingTweet: #Now we are sure that this is a retweet because of existence of retweeted_status
+            
+            retweet = correspondingTweet['retweeted_status'] 
+            id = retweet['id'] 
+            
+            #print "original tweet id" + str(id)
+
+            retweetDBEntry = {"id" : id, "retweetJson" : retweet} 
+            
+            db_retweets.insert(retweetDBEntry) 
+            if id in retweetDict: 
+               retweetDict[id] += 1 
+            else: retweetDict[id] = 1 
+
+  
+#check the dictionary to make sure it has what I want 
+#for key in retweetDict: 
+#   if (retweetDict[key] >1): 
+#      print str(key) + " " + str(retweetDict[key]) 
+
+#convert retweetDict into tuples so I can sort by number of frequencies, then sort by frequncy 
+retweetTuple = sorted(tuple(retweetDict.iteritems()),key=lambda x: (-x[1],x[0]))
+
+#check the tuple to see if it has what I want
+for (id,frequency) in retweetTuple:
+   if frequency > 1:
+      print str(id) + " " +str(frequency)
+
+exit()
+
+#print out the top tweeted user , also store them in top30_users collection so they can be retreived for other analysis
+tupleIndex = 0
+for (id,frequency) in retweetTuple:
+   retweet = db_retweets.find_one({"id":id})
+   
+   if (retweet == None):
+      print "Something went wrong, could not find retweet with id" + str(id)
+   else:
+      retweetJson = json.loads(dumps(retweet["retweetJson"]))
+      topTweetedUser = retweetJson['user']
+
+      userDBEntry = {"id": topTweetedUser['id'], "userInfo" : topTweetedUser}
+      db_top30RetweetedUsers.insert(userDBEntry)
+ 
+      #print out retweet, user name and location
+      print "Top Retweet Rank " + str(tupleIndex+1) 
+      print "Tweet: " + retweetJson["text"].encode('utf8')
+      print "User: " + topTweetedUser["name"].encode('utf8') + " at " + topTweetedUser['location'].encode('utf8')
+      print " "
+ 
+      #get only top 30
+      tupleIndex = tupleIndex + 1   
+      if tupleIndex == 30:
+         exit()
diff --git a/2_2/2_2_lexical_diversity.py b/2_2/2_2_lexical_diversity.py
new file mode 100644
index 0000000..8be9d04
--- /dev/null
+++ b/2_2/2_2_lexical_diversity.py
@@ -0,0 +1,100 @@
+#Kasane Utsumi - 3/14/2015
+#2_2_lexical_diversity.py
+#This code groups db_streamT by users. Then it computes number of unique words and number of words in all of tweets by each, which is used to compute lexical diversity, which is then stored in db_lexical_diversity.
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+from bson.son import SON
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+db_lexical_diversity = mongoConnection['twitter_analyzer'].db_lexical_diversity
+
+if db_streamT == None:
+   print "db_streamT doesn't exist. Exiting.."
+   exit()
+
+#initialize lexical diversity table
+db_lexical_diversity.drop()
+
+#group by user id
+pipeline = [
+ 
+   {
+      "$group" : { "_id": { "userId" : "$user.id","username" : "$user.name"},
+                 "tweetIds" : {"$addToSet" : "$id"  },
+                 "text" : {"$push" : "$text"},
+                 
+               }
+
+   }  
+]
+aggregated = db_streamT.aggregate(pipeline)
+
+print "number of users is: " + str(len(aggregated['result']))
+
+for user in aggregated['result']:
+   
+   #print user
+
+   #create a dictionary of retweeted id is key, and number of occurrence as a value 
+   lexicalDict = dict()
+   totalWordCount = 0
+   
+   #print user
+   
+   #for each tweet of this user
+   for tweetText in user["text"]:
+
+     #print "for each tweettext"
+     #print "text is " + str(tweetText.encode("utf-8"))
+      
+     words = tweetText.split(" ")
+     for word in words:
+         #print word + str(totalWordCount)
+   
+         #do some cleanup
+         word=word.lower().strip()
+         #word=word.encode("utf-8").lower().strip()
+         
+         #ignore words that are necessary, user shouldn't be punished for frequently using these words. 
+         if word == "the" or word == "a" or word=="from" or word=="to" or word=="and" or word=="for" or word.startswith("http://") or word.startswith("https://"):
+            continue
+         if word in lexicalDict:
+            lexicalDict[word] +=1
+         else:
+            lexicalDict[word] = 1 
+         
+         totalWordCount +=1
+
+   #unique word count is number (length) of the dictionary
+   unqueWordsCount = len(lexicalDict)
+
+   #print "total word" + str(totalWordCount)
+   #print "uniquew word" + str(unqueWordsCount)
+   #print "lex diverity" + str(float(unqueWordsCount) / float(totalWordCount))
+   
+   lexicalDiv = 0.0
+
+   if (totalWordCount == 0): #meaning all of the tweets have been filtered out. In this case we would assume lex. diverstiy to be one. 
+      lexicalDiv=1.0
+   else: 
+      lexicalDiv = float(unqueWordsCount) / float(totalWordCount)   
+  
+   #print (lexicalDiv)
+   #insert into db
+   userDBEntry = {"id": user["_id"]["userId"], "username": user["_id"]["username"], "lexical_diversity" : str(lexicalDiv)}
+   db_lexical_diversity.insert(userDBEntry)
+
diff --git a/2_2/2_2_lexical_diversity.py~ b/2_2/2_2_lexical_diversity.py~
new file mode 100644
index 0000000..28a3d57
--- /dev/null
+++ b/2_2/2_2_lexical_diversity.py~
@@ -0,0 +1,100 @@
+#Kasane Utsumi - 3/14/2015
+#2_2_lexical_diversity.py
+#This code groups db_streamT by users. Then it computes number of unique words and number of words in all of tweets by a given user, which is used to compute lexical diversity, which is then stored in db_lexical_diversity.
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+from bson.son import SON
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+db_lexical_diversity = mongoConnection['twitter_analyzer'].db_lexical_diversity
+
+if db_streamT == None:
+   print "db_streamT doesn't exist. Exiting.."
+   exit()
+
+#initialize lexical diversity table
+db_lexical_diversity.drop()
+
+#group by user id
+pipeline = [
+ 
+   {
+      "$group" : { "_id": { "userId" : "$user.id","username" : "$user.name"},
+                 "tweetIds" : {"$addToSet" : "$id"  },
+                 "text" : {"$push" : "$text"},
+                 
+               }
+
+   }  
+]
+aggregated = db_streamT.aggregate(pipeline)
+
+print "number of users is: " + str(len(aggregated['result']))
+
+for user in aggregated['result']:
+   
+   #print user
+
+   #create a dictionary of retweeted id is key, and number of occurrence as a value 
+   lexicalDict = dict()
+   totalWordCount = 0
+   
+   #print user
+   
+   #for each tweet of this user
+   for tweetText in user["text"]:
+
+     #print "for each tweettext"
+     #print "text is " + str(tweetText.encode("utf-8"))
+      
+     words = tweetText.split(" ")
+     for word in words:
+         #print word + str(totalWordCount)
+   
+         #do some cleanup
+         word=word.lower().strip()
+         #word=word.encode("utf-8").lower().strip()
+         
+         #ignore words that are necessary, user shouldn't be punished for frequently using these words. 
+         if word == "the" or word == "a" or word=="from" or word=="to" or word=="and" or word=="for" or word.startswith("http://") or word.startswith("https://"):
+            continue
+         if word in lexicalDict:
+            lexicalDict[word] +=1
+         else:
+            lexicalDict[word] = 1 
+         
+         totalWordCount +=1
+
+   #unique word count is number (length) of the dictionary
+   unqueWordsCount = len(lexicalDict)
+
+   #print "total word" + str(totalWordCount)
+   #print "uniquew word" + str(unqueWordsCount)
+   #print "lex diverity" + str(float(unqueWordsCount) / float(totalWordCount))
+   
+   lexicalDiv = 0.0
+
+   if (totalWordCount == 0): #meaning all of the tweets have been filtered out. In this case we would assume lex. diverstiy to be one. 
+      lexicalDiv=1.0
+   else: 
+      lexicalDiv = float(unqueWordsCount) / float(totalWordCount)   
+  
+   #print (lexicalDiv)
+   #insert into db
+   userDBEntry = {"id": user["_id"]["userId"], "username": user["_id"]["username"], "lexical_diversity" : str(lexicalDiv)}
+   db_lexical_diversity.insert(userDBEntry)
+
diff --git a/2_2/2_2_plot_lexical_diversity.py b/2_2/2_2_plot_lexical_diversity.py
new file mode 100644
index 0000000..f15154f
--- /dev/null
+++ b/2_2/2_2_plot_lexical_diversity.py
@@ -0,0 +1,51 @@
+#Kasane Utsumi - 3/14/2015
+#2_2_plot_lexical_diversity.py
+#This code generates a histogram which shows frequency of lexical deversity range based on db_lexical_diversity collections. 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+from bson.son import SON
+import numpy as np
+import pylab as pl
+import decimal
+import matplotlib.pyplot as plt
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_lexical_diversity = mongoConnection['twitter_analyzer'].db_lexical_diversity
+
+if db_lexical_diversity == None:
+   print "db_lexical_diversity doesn't exist. Exiting.."
+   exit()
+
+plotArray = []
+
+for user in db_lexical_diversity.find():
+   plotArray.append(user['lexical_diversity'])
+#   plotDictionary[float(user['lexical_diversity'])]= user['username']
+
+plt.hist(np.asarray(plotArray, dtype='float'))
+plt.show()
+ 
+
+exit()
+ 
+#X=np.arange(len(plotDictionary))
+#pl.bar(X,plotDictionary.keys(),width=0.2)
+#pl.xticks(X,plotDictionary.values())
+#ymax= max(plotDictionary.keys())+1
+#pl.ylim(0,ymax)
+#pl.show()
+
+
diff --git a/2_2/2_2_plot_lexical_diversity.py~ b/2_2/2_2_plot_lexical_diversity.py~
new file mode 100644
index 0000000..1a2335a
--- /dev/null
+++ b/2_2/2_2_plot_lexical_diversity.py~
@@ -0,0 +1,49 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+from bson.son import SON
+import numpy as np
+import pylab as pl
+import decimal
+import matplotlib.pyplot as plt
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_lexical_diversity = mongoConnection['twitter_analyzer'].db_lexical_diversity
+
+if db_lexical_diversity == None:
+   print "db_lexical_diversity doesn't exist. Exiting.."
+   exit()
+
+plotArray = []
+
+for user in db_lexical_diversity.find():
+   plotArray.append(user['lexical_diversity'])
+#   plotDictionary[float(user['lexical_diversity'])]= user['username']
+
+plt.hist(np.asarray(plotArray, dtype='float'))
+plt.show()
+ 
+
+exit()
+ 
+#X=np.arange(len(plotDictionary))
+#pl.bar(X,plotDictionary.keys(),width=0.2)
+#pl.xticks(X,plotDictionary.values())
+#ymax= max(plotDictionary.keys())+1
+#pl.ylim(0,ymax)
+#pl.show()
+
+
diff --git a/2_2/lex_div_histo.png b/2_2/lex_div_histo.png
new file mode 100644
index 0000000..a562470
Binary files /dev/null and b/2_2/lex_div_histo.png differ
diff --git a/2_3/2_3_followers_after_week.py b/2_3/2_3_followers_after_week.py
new file mode 100644
index 0000000..68ff45e
--- /dev/null
+++ b/2_3/2_3_followers_after_week.py
@@ -0,0 +1,79 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_followers_after_week.py
+#This code iterates through first 10 users in db_followers and retrieves followers for the same users after a week, then stores the result in the db_followers_after_week collection. Please see documentation for more elaboration. 
+ 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+#twitter setup
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+
+auth=None
+api=None
+
+try: 
+   auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+   auth.set_access_token(access_token, access_token_secret)
+   api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+except:
+   print "twitter setup failed"
+   exit()
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_followers= mongoConnection['twitter_analyzer'].db_followers
+
+if db_followers == "None":
+   print "db_followers not found"
+   exit()
+
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+
+#empty old value from the table
+db_followers_after_week.drop()
+
+#to get top 10
+index = 0
+
+for user in  db_followers.find(timeout=False):
+   followerList = [] 
+
+   #only look for follower ids for user I have to put into db_followers since i had to run this program few times because of network issue
+   if db_followers_after_week.find({'id' : user["id"]}).count() == 0:
+      uid = user["id"]
+      print "userId" +  str(uid) +  " count of followers from twitter call 1 week ago: " + str(len(user["followerIds"]))
+
+      for page in tweepy.Cursor(api.followers_ids,user_id=uid).pages():
+	 
+         followerList.extend(page)
+         time.sleep(60)
+   
+      #see if number of followers match with number of ids retrieved. This is just a sanity check, since number of followers
+      #could have changed from the time tweet was collected
+      print "count of followers from twitter call made now:" + str(len(followerList))
+  
+      followerOfUser = {"id": uid, "followerIds" : followerList}
+      db_followers_after_week.insert(followerOfUser)
+
+      index +=1
+      if index == 10:
+         break
+
diff --git a/2_3/2_3_followers_after_week.py~ b/2_3/2_3_followers_after_week.py~
new file mode 100644
index 0000000..1fb8b4f
--- /dev/null
+++ b/2_3/2_3_followers_after_week.py~
@@ -0,0 +1,79 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_followers_after_week.py
+#This code iterates through first 10 users in db_followers and retrieves followers for the same users after a week, then stores the result in the db_followers_after_week collection. Please see documentation for more elaboration. 
+ 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+#twitter setup
+consumer_key = "10G4NlBUpM9nusmE9nSoeGQnk"
+consumer_secret = "KcH2Ykf253L0tTCuzIyqDUPnkEZ7mZhIiHCYiS84LbZNCsQwRu"
+access_token = "2988143343-waN3T7DFy7j0Yn95hDdXOMLpdRfHzG66SnOZlHO"
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+
+auth=None
+api=None
+
+try: 
+   auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+   auth.set_access_token(access_token, access_token_secret)
+   api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+except:
+   print "twitter setup failed"
+   exit()
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_followers= mongoConnection['twitter_analyzer'].db_followers
+
+if db_followers == "None":
+   print "db_followers not found"
+   exit()
+
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+
+#empty old value from the table
+db_followers_after_week.drop()
+
+#to get top 10
+index = 0
+
+for user in  db_followers.find(timeout=False):
+   followerList = [] 
+
+   #only look for follower ids for user I have to put into db_followers since i had to run this program few times because of network issue
+   if db_followers_after_week.find({'id' : user["id"]}).count() == 0:
+      uid = user["id"]
+      print "userId" +  str(uid) +  " count of followers from twitter call 1 week ago: " + str(len(user["followerIds"]))
+
+      for page in tweepy.Cursor(api.followers_ids,user_id=uid).pages():
+	 
+         followerList.extend(page)
+         time.sleep(60)
+   
+      #see if number of followers match with number of ids retrieved. This is just a sanity check, since number of followers
+      #could have changed from the time tweet was collected
+      print "count of followers from twitter call made now:" + str(len(followerList))
+  
+      followerOfUser = {"id": uid, "followerIds" : followerList}
+      db_followers_after_week.insert(followerOfUser)
+
+      index +=1
+      if index == 10:
+         break
+
diff --git a/2_3/2_3_get_followers_for_top_retweeters.py b/2_3/2_3_get_followers_for_top_retweeters.py
new file mode 100644
index 0000000..0fa38b1
--- /dev/null
+++ b/2_3/2_3_get_followers_for_top_retweeters.py
@@ -0,0 +1,82 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_get_followers_for_top_retweets.py
+#This code retrieves a list of followers (id) for users who tweeted the top 30 tweets (stored in top30RetweetedUsers collection) and stores them in db_followers collection. Please see documentation for more elaboration. 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+
+#twitter setup
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+#for uid in topRetweetedUserList: 
+#   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+#for each user, make a twitter followers/id call to get list of his/her followers' ids and store it in the db_followers
+#db_follower will have 30 rows, the format for each row is:
+#{"id":user id, followerIds: list of follower's ids}
+for uid in topRetweetedUserList:
+   followerList = [] 
+
+   #only look for follower ids for user I have to put into db_followers since i had to run this program few times because of network issue
+   if db_followers.find({'id' : uid}).count() == 0:
+
+      for page in tweepy.Cursor(api.followers_ids,user_id=uid).pages():
+         followerList.extend(page)
+         time.sleep(60)
+
+      #see if number of followers match with number of ids retrieved. This is just a sanity check, since number of followers
+      #could have changed from the time tweet was collected
+      print "userId" +  str(uid)
+      print "count of followers from user property:" + str(len(followerList))
+      print "count of users from api call" + str(topRetweetedUserList[uid])
+      print " "
+
+      #for myId in followerList:
+      #   print myId
+   
+      followerOfUser = {"id": uid, "followerIds" : followerList}
+      db_followers.insert(followerOfUser)
+
+
+
diff --git a/2_3/2_3_get_followers_for_top_retweeters.py~ b/2_3/2_3_get_followers_for_top_retweeters.py~
new file mode 100644
index 0000000..38324c1
--- /dev/null
+++ b/2_3/2_3_get_followers_for_top_retweeters.py~
@@ -0,0 +1,82 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_get_followers_for_top_retweets.py
+#This code retrieves a list of followers (id) for users who tweeted the top 30 tweets (stored in top30RetweetedUsers collection) and stores them in db_followers collection. Please see documentation for more elaboration. 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+import signal
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+
+#twitter setup
+consumer_key = "10G4NlBUpM9nusmE9nSoeGQnk"
+consumer_secret = "KcH2Ykf253L0tTCuzIyqDUPnkEZ7mZhIiHCYiS84LbZNCsQwRu"
+access_token = "2988143343-waN3T7DFy7j0Yn95hDdXOMLpdRfHzG66SnOZlHO"
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+#for uid in topRetweetedUserList: 
+#   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+#for each user, make a twitter followers/id call to get list of his/her followers' ids and store it in the db_followers
+#db_follower will have 30 rows, the format for each row is:
+#{"id":user id, followerIds: list of follower's ids}
+for uid in topRetweetedUserList:
+   followerList = [] 
+
+   #only look for follower ids for user I have to put into db_followers since i had to run this program few times because of network issue
+   if db_followers.find({'id' : uid}).count() == 0:
+
+      for page in tweepy.Cursor(api.followers_ids,user_id=uid).pages():
+         followerList.extend(page)
+         time.sleep(60)
+
+      #see if number of followers match with number of ids retrieved. This is just a sanity check, since number of followers
+      #could have changed from the time tweet was collected
+      print "userId" +  str(uid)
+      print "count of followers from user property:" + str(len(followerList))
+      print "count of users from api call" + str(topRetweetedUserList[uid])
+      print " "
+
+      #for myId in followerList:
+      #   print myId
+   
+      followerOfUser = {"id": uid, "followerIds" : followerList}
+      db_followers.insert(followerOfUser)
+
+
+
diff --git a/2_3/2_3_get_unfollowers_after_week.py b/2_3/2_3_get_unfollowers_after_week.py
new file mode 100644
index 0000000..259e02d
--- /dev/null
+++ b/2_3/2_3_get_unfollowers_after_week.py
@@ -0,0 +1,165 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_get_unfollowers_after_week.py
+#This code compares the list of followers for a given user between db_followers and db_followers_after_week and get ids of followers who were no longer following the user after a week. Then it calls Twitter api to retrieve information about each of the followers and stores in the db_dropped_followers collection. In the end it prints out id and name of unfollowed user for each user. 
+
+import pymongo
+import tweepy
+import signal
+from bson.json_util import dumps
+import json
+import time
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+myLog =  open("log.txt","w+")
+
+
+#utility function to print out to console but also keeps same message in the log file (log.txt)
+def printAndLog(message):
+   print message
+   myLog.write(message + "\n")
+
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   printAndLog("Connection failed")
+   exit()
+
+#get collections
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+
+
+if db_followers == "None" or db_followers_after_week == "None":
+   printAndLog("db_followers or db_followers_after_week not found")
+   exit()
+
+#below collections will be used to store dropped users. 
+#format: {id:id of user who had followers, droppedFollowers: array of user json object of users who unfollowed after a week}
+db_dropped_followers = mongoConnection['twitter_analyzer'].db_dropped_followers
+#db_dropped_followers.drop()
+
+
+
+#twitter setup
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+
+auth=None
+api=None
+
+try: 
+   auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+   auth.set_access_token(access_token, access_token_secret)
+   api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+except:
+   printAndLog("twitter setup failed")
+   exit()
+
+#this function inserts dropped followers data into db_dropped_follower indexed by user Id of user who lost followers. 
+def insertInto_db_dropped_followers(uid, droppedUsersFromAPI):
+   droppedUserArray = []
+   for droppedUser in droppedUsersFromAPI:
+      droppedUserArray.append({"droppedUserId": droppedUser._json['id'],"droppedUserName": droppedUser._json['name']})     
+   userDBEntry = {"id": uid, "unfollowedUsers" : droppedUserArray}
+   db_dropped_followers.insert(userDBEntry)
+   
+
+
+for followerBefore in db_followers.find(timeout=False):
+   
+   userId = followerBefore['id']
+
+   #don't try to fill in db_dropped_followers if it has already been filled
+   if db_dropped_followers.find({'id':userId}).count() != 0:
+      continue 
+
+   printAndLog("User Id to look for unfollowers is" + str(userId))
+   
+   #only 10 out of 17 users in db_followers will be in db_follower_after_week, so we can only get unfollower information for those users. 
+   followerAfterWk = db_followers_after_week.find_one({'id' : userId})
+   if followerAfterWk != None:
+  
+      originalFollowerArray = followerBefore['followerIds']
+      
+      afterWeekFollowerArray = followerAfterWk['followerIds']
+
+      #keep count of droppped follower ids here
+      droppedFollowerId = []
+
+      #now find out who is missing from original array
+      for fid in originalFollowerArray:
+         if not fid in afterWeekFollowerArray:
+            droppedFollowerId.append(fid)
+
+      #print droppedFollowerId
+      printAndLog("Unfollowed User Count is " + str(len(droppedFollowerId)))  
+
+      #twitter's look up user api only let you look up 100 users at a time
+      idLookUpIncrement = 100
+      
+      #temporary array that will be passed to twitter api as a comman delimited list
+      tempArray = []   
+
+      #array of users resulting from twitter api call
+      unfollowedUsers = [] 
+
+      #fill tempArray until its length is idLookUpIncrement then make twitter user lookup call
+      for num in droppedFollowerId:
+         tempArray.append(num)
+      
+         if len(tempArray) == idLookUpIncrement:
+            #print tempArray
+            #print "now call twitter"
+            
+            #ignore when twitter raises exception when NONE of the user Ids passed matches
+            try:
+               users = api.lookup_users(user_ids=tempArray)
+               unfollowedUsers.extend(users)
+               time.sleep(60)
+               #put result into db_dropped_followers
+            except:
+               print "none of the users matched for this batch. Continuing..."
+
+            tempArray = []
+
+      if len(tempArray) != 0: #there are users left that still need info from twitter. 
+         #print "call twitter for last time"
+         #print tempArray
+
+         #ignore when twitter raises exception when NONE of the user Ids passed matches
+         try:
+            users = api.lookup_users(user_ids=tempArray)
+            time.sleep(60)
+            unfollowedUsers.extend(users)
+         except:
+            print "none of the users matched for this batch. Continuing..."
+         #print users                       		               
+      insertInto_db_dropped_followers(userId, unfollowedUsers)
+      
+#now print out unfollowed user for each user Id
+for unfollowedUser in db_dropped_followers.find():
+    printAndLog("UserId of a user who lost followers:" + str(unfollowedUser['id']))
+    
+    #unfollowerArray = json.loads(dumps(unfollowedUser['unfollowedUsers']))
+    #print unfollowerArray
+    for uUser in unfollowedUser['unfollowedUsers']:
+       uJson = json.loads(dumps(uUser))
+       printAndLog("Unfollowed User: " +  str(uJson['droppedUserName'].encode('utf8')) + "(" + str(uJson['droppedUserId']) + ")")
+    if len(unfollowedUser['unfollowedUsers']) == 0:
+       print "no user unfollowed this user"
+    printAndLog(" ")
+
+
+myLog.close()
+
+
+
diff --git a/2_3/2_3_get_unfollowers_after_week.py~ b/2_3/2_3_get_unfollowers_after_week.py~
new file mode 100644
index 0000000..a9a9866
--- /dev/null
+++ b/2_3/2_3_get_unfollowers_after_week.py~
@@ -0,0 +1,165 @@
+#Kasane Utsumi - 3/14/2015
+#2_3_get_unfollowers_after_week.py
+#This code compares the list of followers for a given user between db_followers and db_followers_after_week and get ids of followers who were no longer following the user after a week. Then it calls Twitter api to retrieve information about each of the followers and stores in the db_dropped_followers collection. In the end it prints out id and name of unfollowed user for each user. 
+
+import pymongo
+import tweepy
+import signal
+from bson.json_util import dumps
+import json
+import time
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+myLog =  open("log.txt","w+")
+
+
+#utility function to print out to console but also keeps same message in the log file (log.txt)
+def printAndLog(message):
+   print message
+   myLog.write(message + "\n")
+
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   printAndLog("Connection failed")
+   exit()
+
+#get collections
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+
+
+if db_followers == "None" or db_followers_after_week == "None":
+   printAndLog("db_followers or db_followers_after_week not found")
+   exit()
+
+#below collections will be used to store dropped users. 
+#format: {id:id of user who had followers, droppedFollowers: array of user json object of users who unfollowed after a week}
+db_dropped_followers = mongoConnection['twitter_analyzer'].db_dropped_followers
+#db_dropped_followers.drop()
+
+
+
+#twitter setup
+consumer_key = "10G4NlBUpM9nusmE9nSoeGQnk"
+consumer_secret = "KcH2Ykf253L0tTCuzIyqDUPnkEZ7mZhIiHCYiS84LbZNCsQwRu"
+access_token = "2988143343-waN3T7DFy7j0Yn95hDdXOMLpdRfHzG66SnOZlHO"
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+
+auth=None
+api=None
+
+try: 
+   auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+   auth.set_access_token(access_token, access_token_secret)
+   api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+except:
+   printAndLog("twitter setup failed")
+   exit()
+
+#this function inserts dropped followers data into db_dropped_follower indexed by user Id of user who lost followers. 
+def insertInto_db_dropped_followers(uid, droppedUsersFromAPI):
+   droppedUserArray = []
+   for droppedUser in droppedUsersFromAPI:
+      droppedUserArray.append({"droppedUserId": droppedUser._json['id'],"droppedUserName": droppedUser._json['name']})     
+   userDBEntry = {"id": uid, "unfollowedUsers" : droppedUserArray}
+   db_dropped_followers.insert(userDBEntry)
+   
+
+
+for followerBefore in db_followers.find(timeout=False):
+   
+   userId = followerBefore['id']
+
+   #don't try to fill in db_dropped_followers if it has already been filled
+   if db_dropped_followers.find({'id':userId}).count() != 0:
+      continue 
+
+   printAndLog("User Id to look for unfollowers is" + str(userId))
+   
+   #only 10 out of 17 users in db_followers will be in db_follower_after_week, so we can only get unfollower information for those users. 
+   followerAfterWk = db_followers_after_week.find_one({'id' : userId})
+   if followerAfterWk != None:
+  
+      originalFollowerArray = followerBefore['followerIds']
+      
+      afterWeekFollowerArray = followerAfterWk['followerIds']
+
+      #keep count of droppped follower ids here
+      droppedFollowerId = []
+
+      #now find out who is missing from original array
+      for fid in originalFollowerArray:
+         if not fid in afterWeekFollowerArray:
+            droppedFollowerId.append(fid)
+
+      #print droppedFollowerId
+      printAndLog("Unfollowed User Count is " + str(len(droppedFollowerId)))  
+
+      #twitter's look up user api only let you look up 100 users at a time
+      idLookUpIncrement = 100
+      
+      #temporary array that will be passed to twitter api as a comman delimited list
+      tempArray = []   
+
+      #array of users resulting from twitter api call
+      unfollowedUsers = [] 
+
+      #fill tempArray until its length is idLookUpIncrement then make twitter user lookup call
+      for num in droppedFollowerId:
+         tempArray.append(num)
+      
+         if len(tempArray) == idLookUpIncrement:
+            #print tempArray
+            #print "now call twitter"
+            
+            #ignore when twitter raises exception when NONE of the user Ids passed matches
+            try:
+               users = api.lookup_users(user_ids=tempArray)
+               unfollowedUsers.extend(users)
+               time.sleep(60)
+               #put result into db_dropped_followers
+            except:
+               print "none of the users matched for this batch. Continuing..."
+
+            tempArray = []
+
+      if len(tempArray) != 0: #there are users left that still need info from twitter. 
+         #print "call twitter for last time"
+         #print tempArray
+
+         #ignore when twitter raises exception when NONE of the user Ids passed matches
+         try:
+            users = api.lookup_users(user_ids=tempArray)
+            time.sleep(60)
+            unfollowedUsers.extend(users)
+         except:
+            print "none of the users matched for this batch. Continuing..."
+         #print users                       		               
+      insertInto_db_dropped_followers(userId, unfollowedUsers)
+      
+#now print out unfollowed user for each user Id
+for unfollowedUser in db_dropped_followers.find():
+    printAndLog("UserId of a user who lost followers:" + str(unfollowedUser['id']))
+    
+    #unfollowerArray = json.loads(dumps(unfollowedUser['unfollowedUsers']))
+    #print unfollowerArray
+    for uUser in unfollowedUser['unfollowedUsers']:
+       uJson = json.loads(dumps(uUser))
+       printAndLog("Unfollowed User: " +  str(uJson['droppedUserName'].encode('utf8')) + "(" + str(uJson['droppedUserId']) + ")")
+    if len(unfollowedUser['unfollowedUsers']) == 0:
+       print "no user unfollowed this user"
+    printAndLog(" ")
+
+
+myLog.close()
+
+
+
diff --git a/2_3/Log_unfollowed_user_list.txt b/2_3/Log_unfollowed_user_list.txt
new file mode 100644
index 0000000..8b07894
--- /dev/null
+++ b/2_3/Log_unfollowed_user_list.txt
@@ -0,0 +1,555 @@
+UserId of a user who lost followers:160549126
+Unfollowed User: Social N New York(459534627)
+Unfollowed User: The IBM MSP Team(2650996669)
+Unfollowed User: HiGH Software B.V.(274408924)
+ 
+UserId of a user who lost followers:2809878539
+Unfollowed User: Jarmo Nikula(349576314)
+ 
+UserId of a user who lost followers:3049567425
+Unfollowed User: katzee443(271212128)
+Unfollowed User: Hedvig Snow(1964281615)
+Unfollowed User: Galaxy Xtra(2353090658)
+ 
+UserId of a user who lost followers:83316868
+Unfollowed User: Travellers Guide(253021912)
+Unfollowed User: CDECO and co(404303487)
+Unfollowed User: Laconic Music Group(2291679090)
+Unfollowed User: Lori H. Schwartz(5749642)
+Unfollowed User: ESS(2835076415)
+Unfollowed User: Best quotes & vines (310353282)
+Unfollowed User: Laila Shhh(105110980)
+Unfollowed User: Shea Salvaza(230240409)
+Unfollowed User: ers0be' m(2149515415)
+Unfollowed User: Arturyang(1875991381)
+Unfollowed User: Армен Гукасян(2402718120)
+Unfollowed User: Emily McNeal(2839675323)
+Unfollowed User: umut yilmaz(3031673930)
+Unfollowed User: Настя Образцова(1387469299)
+Unfollowed User: Jessy Shackleton(354104984)
+Unfollowed User: Directive Consulting(2778870025)
+Unfollowed User: Arrival Mobile(86616219)
+Unfollowed User: Air Shepherd(2871014888)
+Unfollowed User: Михаил Зак(814512962)
+Unfollowed User: Дмитрий Юров(841944127)
+Unfollowed User: Stanislav(1719417510)
+Unfollowed User: Vahap Gül(2733829693)
+Unfollowed User: TravelZIN(170766820)
+Unfollowed User: Pascual Reyes(355847466)
+Unfollowed User: BAOW(593031266)
+Unfollowed User: Nick(2450648918)
+Unfollowed User: juneil carreon(116408601)
+Unfollowed User: Dhirendra Singh(86920217)
+Unfollowed User: Lauren(387285226)
+Unfollowed User: Steve Spencer(24833655)
+Unfollowed User: Marin(366164941)
+Unfollowed User: Kim Kirkland(1212443232)
+Unfollowed User: HipHop International(61373007)
+Unfollowed User: Shaun DaCunha(17346323)
+Unfollowed User: Women Linked(1320939613)
+ 
+UserId of a user who lost followers:15497093
+Unfollowed User: Human Rights(2985041418)
+Unfollowed User: Skating AGENT(2566749678)
+Unfollowed User: TheRealAbbyNormal(76952859)
+Unfollowed User: Salazar(2178339595)
+ 
+UserId of a user who lost followers:2206092889
+ 
+UserId of a user who lost followers:2837996969
+ 
+UserId of a user who lost followers:209811713
+Unfollowed User: Frikinux(2231258106)
+Unfollowed User: Eterio Herrera(27738385)
+Unfollowed User: Levyx, Inc.(2990225424)
+Unfollowed User: Carl(66441197)
+Unfollowed User: Spider Perro!(2873199124)
+Unfollowed User: Anaïs Gaudreau(3054455279)
+Unfollowed User: Jon Christianson(24479107)
+Unfollowed User: David Robertson(2209330070)
+Unfollowed User: Noora(2799460989)
+Unfollowed User: Roman Turna(244009691)
+Unfollowed User: MentorMate(31162892)
+Unfollowed User: Monicaaa(3067660591)
+Unfollowed User: hannibal where(3003149501)
+Unfollowed User: Asmawee Musor(3065738762)
+Unfollowed User: Reanna Charissa(3035678508)
+Unfollowed User: elida Alonso(1692227370)
+Unfollowed User:        Secret       (2610387187)
+Unfollowed User: Miranda Kelly(2200155278)
+Unfollowed User: NaijaNelboy(124062779)
+Unfollowed User: HeliosOmega(2315416465)
+Unfollowed User: forza itti(1281665102)
+Unfollowed User: XYZ(2246582162)
+Unfollowed User: EMPERYmusic(1368959768)
+Unfollowed User: Retailings(2154664524)
+Unfollowed User: Donna Fishkin(246103799)
+Unfollowed User: Vijeta Uniyal(1075971498)
+Unfollowed User: Cherrie Sussanne(2767619807)
+Unfollowed User: David @ PhosGraphe(2430257299)
+Unfollowed User: Metro Celebration(2711893256)
+Unfollowed User: Khaxe Studios(2604579602)
+Unfollowed User: ♨ℜⒶ⊂Hiℵɠ∃R♨(29620023)
+Unfollowed User: CryptoCoinsNews(1856523530)
+Unfollowed User: Felipe Lara & Cía.(2740213361)
+Unfollowed User: Michael Don Okonjo(48263163)
+Unfollowed User: markITwrite Tech(479758700)
+Unfollowed User: Desire(3041899130)
+Unfollowed User: Lemon PVP(742357573)
+Unfollowed User: NK SoftWeb Techno(3023326434)
+Unfollowed User: SANS EMEA(28075747)
+Unfollowed User: Ian Randall(1560499536)
+Unfollowed User: #OpReform(2934668789)
+Unfollowed User: liz flanagan(110575482)
+Unfollowed User: Agostino Finamore(581872739)
+Unfollowed User: David Demko(612693490)
+Unfollowed User: Fullpro Surveillance(3049741025)
+Unfollowed User: swissleak(3049821419)
+Unfollowed User: Mubaraka Sani(2975071103)
+Unfollowed User: NORTHERNLINE RECORDS(192404724)
+Unfollowed User: SaveMoney.es (FR)(3014629906)
+Unfollowed User: Theo Caber(24758523)
+Unfollowed User: Vony Karundeng(2252640529)
+Unfollowed User: Ahsan Bashir(37622222)
+Unfollowed User: John Martinez(2991824070)
+Unfollowed User: HCG Ahmedabad(2965666510)
+Unfollowed User: wonderfullife929(1609878848)
+Unfollowed User: Ioan Cojocaru(112102345)
+Unfollowed User: Sean Gillespie(809315036)
+Unfollowed User: winacarcalgary(2244137136)
+Unfollowed User: MyTipsHub(2407288675)
+Unfollowed User: ⊕⊗(2940522183)
+Unfollowed User: cornucopia(1070268745)
+Unfollowed User: Jacques Schuhmacher(14354516)
+Unfollowed User: Tom Lopy(138874315)
+Unfollowed User: tariq hossein(2566032186)
+Unfollowed User: Alptekin Yılmaz(73891804)
+Unfollowed User: Arnav Garg(2959525949)
+Unfollowed User: تخم مرغ شانسی نارنجی(1080036716)
+Unfollowed User: Johan Akerberg(235129342)
+Unfollowed User: Ian Adams(410403616)
+Unfollowed User: Desmond lamar(1599513481)
+Unfollowed User: rassyhainane(2938095460)
+Unfollowed User: Alex Lopez(243459444)
+Unfollowed User: Piotr Chodan(1115351576)
+Unfollowed User: أحمد محمد محمد مشالي(2474481619)
+Unfollowed User: Behzad Aghili(2657304769)
+Unfollowed User: Tamil Mani(2840232841)
+Unfollowed User: Kirk(199735301)
+Unfollowed User:  ⋉͠₡͜h͠₹͜ī͠₴͜⋊͠(2386728087)
+Unfollowed User: Island Info Samui(61156035)
+Unfollowed User: Kyle Grant(1700198089)
+Unfollowed User: QR➰(966845676)
+Unfollowed User: mayur jain(96754611)
+Unfollowed User: Nirror Live Support(2355074737)
+Unfollowed User: P4nT3sSter(2815036709)
+Unfollowed User: harshit ratnoo(1638336416)
+Unfollowed User: Erik de Boer(450534709)
+Unfollowed User: Golden Triangle Tour(397913689)
+Unfollowed User: Andrii(270032963)
+Unfollowed User: Jrb(514704784)
+Unfollowed User: ScopeControl(244211210)
+Unfollowed User: Blake Price(109893746)
+Unfollowed User: shemulsikder(1039172574)
+Unfollowed User: Jox UmL(2547922621)
+Unfollowed User: Sunny Kabadi Sanuj(797879029)
+Unfollowed User: Gabor Juhasz(226700786)
+Unfollowed User: Taino Consulting(573969640)
+Unfollowed User: Paola Sipione(850983474)
+Unfollowed User: DSosialita(142150133)
+Unfollowed User: Bleed Blue(1011813614)
+Unfollowed User: Countercepts(2389559678)
+Unfollowed User: The Reclaimer(2188814654)
+Unfollowed User: Arif Faisal(390675160)
+Unfollowed User: Dali(22361210)
+Unfollowed User: Camila Qariwarmi(16145570)
+Unfollowed User: Arpit Chauhan Ⓥ(120093004)
+Unfollowed User: inspcv00(283043799)
+Unfollowed User: twettoo (505246572)
+Unfollowed User: Anna Mariano(70121186)
+Unfollowed User: JamieDaBoi(2241481140)
+Unfollowed User: metin daldal(167523772)
+Unfollowed User: Denis Anderson(105006629)
+Unfollowed User: Dan Budanov(1957745388)
+Unfollowed User: Matt Skipps(2229859557)
+Unfollowed User: Murat KAÇAL(262811240)
+Unfollowed User: Tom Lorek(14062210)
+Unfollowed User: Julian Smith(1856486670)
+Unfollowed User: Nora(100950073)
+Unfollowed User: Juan Carlos Díaz(60677994)
+Unfollowed User: Xerlox(1926561691)
+Unfollowed User: ♥ キティ ♥(1918038769)
+Unfollowed User: OSX L-I-AM(271862947)
+Unfollowed User: Ekahau Itah Akamai(567303670)
+Unfollowed User: Andrew music lover ♥(304448202)
+Unfollowed User: Crimson Agents(1732466958)
+Unfollowed User: Lukas Pfeiffer(29717423)
+Unfollowed User: Job(1244288564)
+Unfollowed User: Jøseph(570330748)
+Unfollowed User: Ece Uyanık(277284599)
+Unfollowed User: °Syed [B]ilal Shah(112761744)
+Unfollowed User: Master of Disaster(929820896)
+Unfollowed User: tony.haddad97(1354641972)
+Unfollowed User: SYLLA HAMED OFFICIEL(141950700)
+Unfollowed User: BERΔT DURΔKU(350019795)
+Unfollowed User: Asun ن  Α † Ω (420269829)
+Unfollowed User: Selva Orejón Lozano(26743035)
+Unfollowed User: SeaSK(52157425)
+Unfollowed User: Rifky(46064665)
+Unfollowed User: Pedro Gerardo Garza(113068864)
+Unfollowed User: Justin Collins(23978537)
+Unfollowed User: Adyacente(551413932)
+Unfollowed User: James Brett(17617061)
+Unfollowed User: KPath(325058992)
+Unfollowed User: Tom Graham(34972175)
+Unfollowed User: Le Rêveur (218594545)
+Unfollowed User: Lila Smith(212117896)
+Unfollowed User: NeoCertified(348569768)
+Unfollowed User: Lojepi(221103248)
+Unfollowed User: Andrew Morris(379532928)
+Unfollowed User: Natalie(194724011)
+Unfollowed User: Matthew Leshko(23674806)
+Unfollowed User: 100TV BRAZIL  (55335854)
+Unfollowed User: Samar(48755417)
+ 
+UserId of a user who lost followers:17000457
+Unfollowed User: E V E R L I E ♥ ✌(1923395192)
+Unfollowed User: Sulist Austin(74911507)
+Unfollowed User: Hussein Fathy (360828055)
+Unfollowed User: みずきん(3050536002)
+Unfollowed User: Rucelio silva torres(3079336433)
+Unfollowed User: Vedamanikkam(318335981)
+Unfollowed User: PracticalBoss88(3081643420)
+Unfollowed User: Landi Cordier(1259016018)
+Unfollowed User: Brian S(1960998554)
+Unfollowed User: Elena Kennedy(133443632)
+Unfollowed User: wOrldconnected(2294261666)
+Unfollowed User: Lucas Hamet(2855645196)
+Unfollowed User: Freddy Jennings(2947268302)
+Unfollowed User: Ajay Pandey(1717809529)
+Unfollowed User: Rebeka God Ceinture(2778145826)
+Unfollowed User: Dion(2407925175)
+Unfollowed User: Jess(2907909412)
+Unfollowed User: BMWLA CHIKC.COM(2816105040)
+Unfollowed User: Mirza Faruk(3064846452)
+Unfollowed User: こーへー(2383745436)
+Unfollowed User: Sharon Willis(388666561)
+Unfollowed User: Rob Hollandsworth(82546930)
+Unfollowed User: Join-IT(1964875627)
+Unfollowed User: Onur kucik(2862886748)
+Unfollowed User: facundo montellano(2368943161)
+Unfollowed User: Precha Kleabvaree(194010410)
+Unfollowed User: C-ZO(3041759603)
+Unfollowed User: Кроссовок(3026194179)
+Unfollowed User: Di(34663615)
+Unfollowed User: claudio corona(2820772376)
+Unfollowed User: Chris G(84214345)
+Unfollowed User: porno(3068146713)
+Unfollowed User: ALLAN SIFUNA(1018291730)
+Unfollowed User: scimplified(2419473368)
+Unfollowed User:  J.Deezy(2966854790)
+Unfollowed User: ashraf shalapy(1623298544)
+Unfollowed User: Gilberto M Souza(488870645)
+Unfollowed User: Sumeet Kale(129479378)
+Unfollowed User: Bert Stomphorst(3041309109)
+Unfollowed User: vKim(1530942452)
+Unfollowed User: Diyettim(2651781356)
+Unfollowed User: karthik swarna(44992637)
+Unfollowed User: Alsson(3050625815)
+Unfollowed User: عبدالله العمران (273594784)
+Unfollowed User: Sabin Pokharel(322550724)
+Unfollowed User: Y.E.S.(3023538468)
+Unfollowed User: Eric Burgess(63607386)
+Unfollowed User: Justin Campbell(40861298)
+Unfollowed User: bug(233086804)
+Unfollowed User: Manu Horrillo(2985924365)
+Unfollowed User: athanasius kontos(3019670237)
+Unfollowed User: Mesut ÖZDEMİR(1352367536)
+Unfollowed User: Paulo Nascimento(281854563)
+Unfollowed User: angel lopez(523754771)
+Unfollowed User: Omar Agan(2949131039)
+Unfollowed User: delanakeasler@aol.co(2945918744)
+Unfollowed User: Amanda_Styles'(2231796596)
+Unfollowed User: Ravi Patel(586020510)
+Unfollowed User: Save My Mother(2558456214)
+Unfollowed User: ERCULES RODRIGUES (170155706)
+Unfollowed User: Graham Bless(3021705826)
+Unfollowed User: KleinMalondaツ(2959585158)
+Unfollowed User: Jhoy S-L(176326872)
+Unfollowed User: Fábio Miguel (2414109709)
+Unfollowed User: hadeelmeshal,j,m(2451468390)
+Unfollowed User: Voltage Energy Drink(2994025779)
+Unfollowed User: RecoveryNations(549055848)
+Unfollowed User: Garydean(2996111209)
+Unfollowed User: Christine Ford(2605371381)
+Unfollowed User: The Workshop(2881264240)
+Unfollowed User: jezequel jocelyne(2921459831)
+Unfollowed User: Вячеслав Клевченя(22118774)
+Unfollowed User:   lishiibeth (2193501497)
+Unfollowed User: Marco Foellmer(10183162)
+Unfollowed User: John Schwartz(17001516)
+Unfollowed User: mohammad bulbul(2320470758)
+Unfollowed User: Radinzainuddin(2829764786)
+Unfollowed User: rebecca roby(112397877)
+Unfollowed User: GZ Dixital(2431201940)
+Unfollowed User: K&B Accountancy(1245729884)
+Unfollowed User: ActionApplayer(2922189382)
+Unfollowed User: ابو جليبيب الجزائري(2910061054)
+Unfollowed User: Klaus Gasser(2734370672)
+Unfollowed User: Andrew Hoffman(1245226386)
+Unfollowed User: ENG_ALaa(2865373353)
+Unfollowed User: ATG-IT(285788798)
+Unfollowed User: jon cerboni(129847712)
+Unfollowed User: Karliga95(1600832299)
+Unfollowed User: Giharto(443889694)
+Unfollowed User: mobidart(1281573236)
+Unfollowed User: jennifer k. riggins(16789906)
+Unfollowed User: Bro Golf Association(958459220)
+Unfollowed User: Ucoatl(572228832)
+Unfollowed User: Chris Martin(2226602077)
+Unfollowed User: Funclobile, Inc.(2720465883)
+Unfollowed User: Jonatan Glad(974567797)
+Unfollowed User: Dmitry(22992948)
+Unfollowed User: acfal2014(2879456148)
+Unfollowed User: Bianca Giordanni(2790173147)
+Unfollowed User: ADNAN KÖROĞLU(2780801377)
+Unfollowed User: Ssnk(1968086060)
+Unfollowed User: IT SAILOR LOUISE M.(1567917614)
+Unfollowed User: Luisa_Noob(1888333032)
+Unfollowed User: प्रशांत Anand(1443107148)
+Unfollowed User: jose chacoa(345943397)
+Unfollowed User: salvachillo(2617717032)
+Unfollowed User: Anand Kumar (2706949812)
+Unfollowed User: kardelen toptaş(2552294689)
+Unfollowed User: #มินโฮ™ บริหาร(2830023242)
+Unfollowed User: Nirror Live Support(2355074737)
+Unfollowed User: TmoneyMoe(2472919181)
+Unfollowed User: Pirdaus(2743944460)
+Unfollowed User: 姚(17184892)
+Unfollowed User: CLOUDSSKY(2228811793)
+Unfollowed User: Timuçin Tuncer(157271443)
+Unfollowed User: Rainbow Leather(318539182)
+Unfollowed User: PALANI C(1136583834)
+Unfollowed User: dgit59214(1025949319)
+Unfollowed User: Carlo Kalkman(37168242)
+Unfollowed User: Palmyra(1092467156)
+Unfollowed User: AhmetMikailBayındır(2723464097)
+Unfollowed User: SULTAN ALDERAAN(523212428)
+Unfollowed User: Roman Takáč(893184728)
+Unfollowed User: lowell(1046646572)
+Unfollowed User: Robert Mills(915210439)
+Unfollowed User: destiny breanna (1385839380)
+Unfollowed User: antony fernando(1406964122)
+Unfollowed User: وليد صديق(792906062)
+Unfollowed User: Mosaic(320822446)
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new file mode 100644
index 0000000..455f724
--- /dev/null
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diff --git a/2_3/old_please_disregard/log_2_3_after_second_run.txt b/2_3/old_please_disregard/log_2_3_after_second_run.txt
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diff --git a/2_3/old_please_disregard/log_2_3_after_second_run_whichstuckfo6hours.txt b/2_3/old_please_disregard/log_2_3_after_second_run_whichstuckfo6hours.txt
new file mode 100644
index 0000000..b5d1b94
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new file mode 100644
index 0000000..e69de29
diff --git a/2_3/old_please_disregard/log_final_compare_num_followers_before_and_after b/2_3/old_please_disregard/log_final_compare_num_followers_before_and_after
new file mode 100644
index 0000000..1ae8edc
--- /dev/null
+++ b/2_3/old_please_disregard/log_final_compare_num_followers_before_and_after
@@ -0,0 +1,21 @@
+userId160549126 count of followers from twitter call 1 week ago: 277
+count of followers from twitter call made now:274
+userId2809878539 count of followers from twitter call 1 week ago: 171
+count of followers from twitter call made now:179
+userId3049567425 count of followers from twitter call 1 week ago: 14
+count of followers from twitter call made now:11
+userId209811713 count of followers from twitter call 1 week ago: 188751
+count of followers from twitter call made now:189414
+userId83316868 count of followers from twitter call 1 week ago: 27272
+count of followers from twitter call made now:27143
+userId15497093 count of followers from twitter call 1 week ago: 2575
+count of followers from twitter call made now:2582
+userId17000457 count of followers from twitter call 1 week ago: 304214
+count of followers from twitter call made now:305201
+userId152585619 count of followers from twitter call 1 week ago: 150113
+count of followers from twitter call made now:149962
+userId2206092889 count of followers from twitter call 1 week ago: 2757
+count of followers from twitter call made now:2756
+userId2837996969 count of followers from twitter call 1 week ago: 7920
+count of followers from twitter call made now:8214
+
diff --git a/2_3/old_please_disregard/test_examine_db_followers.py b/2_3/old_please_disregard/test_examine_db_followers.py
new file mode 100644
index 0000000..7534151
--- /dev/null
+++ b/2_3/old_please_disregard/test_examine_db_followers.py
@@ -0,0 +1,75 @@
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+for uid in topRetweetedUserList: 
+   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+print " "
+
+
+#for this module we are getting only top 10 users. Use index to keep track. 
+userIndex = 0
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+      userIndex += 1
+      if userIndex == 10:
+         break
+
+#print len(topRetweetedUserList)
+#print topRetweetedUserList
+
+
+#check the list to make sure it has what I want 
+for uid in topRetweetedUserList: 
+   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+#exit()
+
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+#for follower in db_followers.find():
+#   print follower["id"]
+
+print " "
+
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+for follower in db_followers_after_week.find():
+   print follower["id"]
diff --git a/2_3/test_examine_db_followers.py~ b/2_3/test_examine_db_followers.py~
new file mode 100644
index 0000000..d98660a
--- /dev/null
+++ b/2_3/test_examine_db_followers.py~
@@ -0,0 +1,75 @@
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+for uid in topRetweetedUserList: 
+   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+print " "
+
+
+#for this module we are getting only top 10 users. Use index to keep track. 
+userIndex = 0
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+      userIndex += 1
+      if userIndex == 10:
+         break
+
+#print len(topRetweetedUserList)
+#print topRetweetedUserList
+
+
+#check the list to make sure it has what I want 
+for uid in topRetweetedUserList: 
+   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+exit()
+
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+#for follower in db_followers.find():
+#   print follower["id"]
+
+print " "
+
+db_followers_after_week = mongoConnection['twitter_analyzer'].db_followers_after_week
+for follower in db_followers_after_week.find():
+   print follower["id"]
diff --git a/3_1/3_1_load_backup_from_S3.py~ b/3_1/3_1_load_backup_from_S3.py~
new file mode 100644
index 0000000..e69de29
diff --git a/3_1/3_1_restore_backup_from_S3.py b/3_1/3_1_restore_backup_from_S3.py
new file mode 100644
index 0000000..7adf926
--- /dev/null
+++ b/3_1/3_1_restore_backup_from_S3.py
@@ -0,0 +1,91 @@
+#Kasane Utsumi - 3/14/2015
+#3_1_restore_backup_from_S3.py
+#This code restores backup files made from db_tweets and db_streamT and restores the data into db_tweetsRestored and db_streamTRestored collections. 
+
+import json 
+import os
+import boto
+from boto.s3.key import Key
+import string
+import signal
+import os
+import pymongo
+from boto.s3.connection import S3Connection
+from bson.json_util import dumps
+import yaml
+import csv
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweetsRestored = mongoConnection['twitter_analyzer'].db_tweetsRestored
+db_streamTRestored = mongoConnection['twitter_analyzer'].db_streamTRestored
+
+db_tweetsRestored.drop()
+db_streamTRestored.drop()
+
+aws_access_key_id =''
+aws_secret_access_key= ''
+aws_bucket_name=''
+
+conn = None
+bucket = None
+
+
+try:
+   conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+   bucket = conn.get_bucket(aws_bucket_name)
+except:
+   print "S3 connection failed or bucket connection failed"
+   exit()
+
+#get file from s3 and store locally and store into db_streamTRestored
+
+for key in bucket.list("db_streamT"):
+
+   if key.name.endswith('/'): 
+      continue
+   key.get_contents_to_filename(key.name)
+
+   filer = open(os.getcwd() + "/" + key.name,"r")
+
+   #use yaml to get result as str type and not unicode type
+   data =  yaml.load(filer.read())
+
+   filer.close()
+   #file was read into memory, now delete it to save disk space
+   os.remove(os.getcwd()  + "/" + key.name)
+   for jsonTweet in data:
+      del jsonTweet["_id"]
+      db_streamTRestored.insert(jsonTweet)
+
+#get file from s3 and store locally and store into db_tweetsRestored
+for key in bucket.list("db_tweets"):
+
+   if key.name.endswith('/'): 
+      continue
+   key.get_contents_to_filename(key.name)
+
+   #read from csv file, dump each text into db_tweetsRestored
+   with open(os.getcwd() +"/"+ key.name,'r') as csvfile:
+      csvreader = csv.reader(csvfile)
+
+      for row in csvreader:
+         for col in row:
+            db_tweetsRestored.insert({"text" : col.decode('utf8')})
+  
+   os.remove(os.getcwd() +"/"+ key.name)
+
+	
+
diff --git a/3_1/3_1_restore_backup_from_S3.py~ b/3_1/3_1_restore_backup_from_S3.py~
new file mode 100644
index 0000000..396c476
--- /dev/null
+++ b/3_1/3_1_restore_backup_from_S3.py~
@@ -0,0 +1,91 @@
+#Kasane Utsumi - 3/14/2015
+#3_1_restore_backup_from_S3.py
+#This code restores backup files made from db_tweets and db_streamT and restores the data into db_tweetsRestored and db_streamTRestored collections. 
+
+import json 
+import os
+import boto
+from boto.s3.key import Key
+import string
+import signal
+import os
+import pymongo
+from boto.s3.connection import S3Connection
+from bson.json_util import dumps
+import yaml
+import csv
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweetsRestored = mongoConnection['twitter_analyzer'].db_tweetsRestored
+db_streamTRestored = mongoConnection['twitter_analyzer'].db_streamTRestored
+
+db_tweetsRestored.drop()
+db_streamTRestored.drop()
+
+aws_access_key_id ='AKIAIW66YJD5QMLM6NAQ'
+aws_secret_access_key= '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'
+aws_bucket_name='moonlightbucket'
+
+conn = None
+bucket = None
+
+
+try:
+   conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+   bucket = conn.get_bucket(aws_bucket_name)
+except:
+   print "S3 connection failed or bucket connection failed"
+   exit()
+
+#get file from s3 and store locally and store into db_streamTRestored
+
+for key in bucket.list("db_streamT"):
+
+   if key.name.endswith('/'): 
+      continue
+   key.get_contents_to_filename(key.name)
+
+   filer = open(os.getcwd() + "/" + key.name,"r")
+
+   #use yaml to get result as str type and not unicode type
+   data =  yaml.load(filer.read())
+
+   filer.close()
+   #file was read into memory, now delete it to save disk space
+   os.remove(os.getcwd()  + "/" + key.name)
+   for jsonTweet in data:
+      del jsonTweet["_id"]
+      db_streamTRestored.insert(jsonTweet)
+
+#get file from s3 and store locally and store into db_tweetsRestored
+for key in bucket.list("db_tweets"):
+
+   if key.name.endswith('/'): 
+      continue
+   key.get_contents_to_filename(key.name)
+
+   #read from csv file, dump each text into db_tweetsRestored
+   with open(os.getcwd() +"/"+ key.name,'r') as csvfile:
+      csvreader = csv.reader(csvfile)
+
+      for row in csvreader:
+         for col in row:
+            db_tweetsRestored.insert({"text" : col.decode('utf8')})
+  
+   os.remove(os.getcwd() +"/"+ key.name)
+
+	
+
diff --git a/3_1/3_1_store_backup_to_S3.py b/3_1/3_1_store_backup_to_S3.py
new file mode 100644
index 0000000..a4cc950
--- /dev/null
+++ b/3_1/3_1_store_backup_to_S3.py
@@ -0,0 +1,117 @@
+#Kasane Utsumi - 3/14/2015
+#3_1_store_backup_to_S3.py
+#This code make a backup of db_tweets and db_streamT and uploads to corresponding location on S3. The items in db_streamT are bundled into 500 per json file(value), and for db_tweets 1500 per csv file(value)
+
+import signal
+import pymongo
+import TweetSerializer
+import boto
+from boto.s3.connection import S3Connection
+from bson.json_util import dumps
+import csv
+from boto.s3.key import Key
+import os
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+if db_tweets == None or db_streamT == None:
+   print "either collection does not exist!"
+   exit()
+
+
+aws_access_key_id =''
+aws_secret_access_key= ''
+aws_bucket_name='
+conn = None
+bucket = None
+
+
+try:
+   conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+   bucket = conn.get_bucket(aws_bucket_name)
+except:
+   print "S3 connection failed or bucket connection failed"
+   exit()
+
+#store json from db_streamT first
+
+#chunk into 500 tweet json per file
+tweetSerializerJson = TweetSerializer.TweetSerializer(500,bucket,"db_streamT", False)
+
+for tweetJson in db_streamT.find():
+   tweetSerializerJson.write(dumps(tweetJson))
+tweetSerializerJson.end()
+
+print "finished uploading json tweets, now try just tweets"
+
+#now store tweets only
+
+#utility function to open file, write content of tweet array and upload to S3 bucket
+def writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,arrayOfTweets):
+   fileName = tweetFilePrefix + str(fileNumber) + ".csv"
+
+   with open(tweetDirectory + "/" + fileName, "w+") as output:
+
+      writer = csv.writer(output, lineterminator='\n')
+
+      for i in range(len(arrayOfTweets)):
+         t = arrayOfTweets[i]
+         #if tweet text contains carriage return, must warp by " so that it doesn't get split into multiple tweets while restoring the db from s3. 
+         if ('\r' in t or '\n' in t):             
+            arrayOfTweets[i]  = '"' + t + '"'
+            #writer.writerows(t)   
+
+      writer.writerow(arrayOfTweets)
+      
+   key = Key(bucket)
+   key.key=os.path.join(tweetDirectory, fileName)
+   try:
+      key.set_contents_from_filename(tweetDirectory + "/"+fileName)
+   except:
+      print "Storing to amazon failed for:" + fileName   
+   os.remove(tweetDirectory + "/"+ fileName)
+
+
+# number of tweet text to store per file
+tweetCountPerFile = 1500
+tweetDirectory = "db_tweets"
+tweetFilePrefix = "tweetOnly"
+fileNumber = 1
+
+#keep tweets in array, and once reached 1500, dump into csv. It is not a most elegant way to do this
+#but I am running out of time... 
+tweetList = []
+
+for tweetText in db_tweets.find():
+
+   tweetList.append(tweetText['text'].encode('utf8'))
+    
+   if len(tweetList) == tweetCountPerFile:
+      
+      writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,tweetList)
+      #reinitialize array
+      tweetList = []
+      fileNumber +=1 
+   
+#serialize leftover tweets
+if len(tweetList) != 0:
+   writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,tweetList)
+
+
+
+   
+
diff --git a/3_1/3_1_store_backup_to_S3.py~ b/3_1/3_1_store_backup_to_S3.py~
new file mode 100644
index 0000000..a4cc950
--- /dev/null
+++ b/3_1/3_1_store_backup_to_S3.py~
@@ -0,0 +1,117 @@
+#Kasane Utsumi - 3/14/2015
+#3_1_store_backup_to_S3.py
+#This code make a backup of db_tweets and db_streamT and uploads to corresponding location on S3. The items in db_streamT are bundled into 500 per json file(value), and for db_tweets 1500 per csv file(value)
+
+import signal
+import pymongo
+import TweetSerializer
+import boto
+from boto.s3.connection import S3Connection
+from bson.json_util import dumps
+import csv
+from boto.s3.key import Key
+import os
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+if db_tweets == None or db_streamT == None:
+   print "either collection does not exist!"
+   exit()
+
+
+aws_access_key_id =''
+aws_secret_access_key= ''
+aws_bucket_name='
+conn = None
+bucket = None
+
+
+try:
+   conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+   bucket = conn.get_bucket(aws_bucket_name)
+except:
+   print "S3 connection failed or bucket connection failed"
+   exit()
+
+#store json from db_streamT first
+
+#chunk into 500 tweet json per file
+tweetSerializerJson = TweetSerializer.TweetSerializer(500,bucket,"db_streamT", False)
+
+for tweetJson in db_streamT.find():
+   tweetSerializerJson.write(dumps(tweetJson))
+tweetSerializerJson.end()
+
+print "finished uploading json tweets, now try just tweets"
+
+#now store tweets only
+
+#utility function to open file, write content of tweet array and upload to S3 bucket
+def writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,arrayOfTweets):
+   fileName = tweetFilePrefix + str(fileNumber) + ".csv"
+
+   with open(tweetDirectory + "/" + fileName, "w+") as output:
+
+      writer = csv.writer(output, lineterminator='\n')
+
+      for i in range(len(arrayOfTweets)):
+         t = arrayOfTweets[i]
+         #if tweet text contains carriage return, must warp by " so that it doesn't get split into multiple tweets while restoring the db from s3. 
+         if ('\r' in t or '\n' in t):             
+            arrayOfTweets[i]  = '"' + t + '"'
+            #writer.writerows(t)   
+
+      writer.writerow(arrayOfTweets)
+      
+   key = Key(bucket)
+   key.key=os.path.join(tweetDirectory, fileName)
+   try:
+      key.set_contents_from_filename(tweetDirectory + "/"+fileName)
+   except:
+      print "Storing to amazon failed for:" + fileName   
+   os.remove(tweetDirectory + "/"+ fileName)
+
+
+# number of tweet text to store per file
+tweetCountPerFile = 1500
+tweetDirectory = "db_tweets"
+tweetFilePrefix = "tweetOnly"
+fileNumber = 1
+
+#keep tweets in array, and once reached 1500, dump into csv. It is not a most elegant way to do this
+#but I am running out of time... 
+tweetList = []
+
+for tweetText in db_tweets.find():
+
+   tweetList.append(tweetText['text'].encode('utf8'))
+    
+   if len(tweetList) == tweetCountPerFile:
+      
+      writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,tweetList)
+      #reinitialize array
+      tweetList = []
+      fileNumber +=1 
+   
+#serialize leftover tweets
+if len(tweetList) != 0:
+   writeCSVAndUploadTweetOnly(tweetDirectory,tweetFilePrefix,fileNumber,tweetList)
+
+
+
+   
+
diff --git a/3_1/3_1_store_backup_to_S3~ b/3_1/3_1_store_backup_to_S3~
new file mode 100644
index 0000000..e69de29
diff --git a/3_1/TweetSerializer.py b/3_1/TweetSerializer.py
new file mode 100644
index 0000000..94d0b10
--- /dev/null
+++ b/3_1/TweetSerializer.py
@@ -0,0 +1,84 @@
+import json
+import boto
+from boto.s3.key import Key
+import signal
+import sys
+import os
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+class TweetSerializer:
+   out = None
+   first = True
+   tweetCount = 0
+   maxCount = 0
+   fileCount = 0
+   bucket = None
+   fileName = None
+   folderName = "tweetsTest"
+   tweetTextOnly = False 
+
+   def __init__(self, maxCount=10,bucket=None, folderName="tweetsTest", tweetTextOnly = False ):
+      self.maxCount = maxCount
+      self.bucket = bucket
+      self.folderName = folderName
+      self.tweetTextOnly = tweetTextOnly
+
+   def start(self):
+      self.fileCount += 1
+      self.fileName = "tweets-" +str(self.fileCount)+".json"
+      fname= self.folderName + "/"+ self.fileName
+      
+      try:
+        self.out = open(fname,"w+")
+      except:
+        print "opening file failed for " + fname
+        exit()
+
+      self.out.write("[\n")
+      self.first = True
+
+   def end(self):
+      if self.out is not None:
+         if not self.tweetTextOnly: #ending char required only for json tweet        
+            self.out.write("\n]\n")
+         self.out.close()
+         key = Key(self.bucket)
+         key.key=os.path.join(self.folderName, self.fileName)
+         try:
+            key.set_contents_from_filename(self.folderName + "/"+self.fileName)
+         except:
+            print "Storing to amazon failed for:" + self.fileName
+            
+      self.out = None
+      os.remove(self.folderName + "/"+ self.fileName)
+ 
+
+   def write(self,tweet):
+      if self.tweetCount == 0:
+         self.start() #initialize
+      if not self.first: #write delimiter if not the first item in the file
+
+         if self.tweetTextOnly: #for tweet only, just put line break. For tweet json, put comma
+            self.out.write("\n")
+         else: 
+            self.out.write(",\n")
+
+      self.first = False
+      
+      if self.tweetTextOnly: #for tweet only
+         self.out.write(tweet)
+      else:
+         self.out.write(str(tweet))
+
+      self.tweetCount += 1
+
+      if self.tweetCount == self.maxCount:
+         self.end()
+         self.tweetCount = 0
+
+
diff --git a/3_1/TweetSerializer.pyc b/3_1/TweetSerializer.pyc
new file mode 100644
index 0000000..d8494b4
Binary files /dev/null and b/3_1/TweetSerializer.pyc differ
diff --git a/3_1/TweetSerializer.py~ b/3_1/TweetSerializer.py~
new file mode 100644
index 0000000..0e43ce8
--- /dev/null
+++ b/3_1/TweetSerializer.py~
@@ -0,0 +1,83 @@
+import json
+import boto
+from boto.s3.key import Key
+import signal
+import sys
+import os
+
+def interrupt(signum, frame):
+   print "Interrupted, closing ..."
+   exit(1)
+
+signal.signal(signal.SIGINT, interrupt)
+
+class TweetSerializer:
+   out = None
+   first = True
+   tweetCount = 0
+   maxCount = 0
+   fileCount = 0
+   bucket = None
+   fileName = None
+   folderName = "tweetsTest"
+   tweetTextOnly = False 
+
+   def __init__(self, maxCount=10,bucket=None, folderName="tweetsTest", tweetTextOnly = False ):
+      self.maxCount = maxCount
+      self.bucket = bucket
+      self.folderName = folderName
+      self.tweetTextOnly = tweetTextOnly
+
+   def start(self):
+      self.fileCount += 1
+      self.fileName = "tweets-" +str(self.fileCount)+".json"
+      fname= self.folderName + "/"+ self.fileName
+      
+      try:
+        self.out = open(fname,"w+")
+      except:
+        print "opening file failed for " + fname
+        exit()
+
+      self.out.write("[\n")
+      self.first = True
+
+   def end(self):
+      if self.out is not None:
+         if not self.tweetTextOnly: #ending char required only for json tweet        
+            self.out.write("\n]\n")
+         self.out.close()
+         key = Key(self.bucket)
+         key.key=os.path.join(self.folderName, self.fileName)
+         try:
+            key.set_contents_from_filename(self.folderName + "/"+self.fileName)
+         except:
+            print "Storing to amazon failed for:" + self.fileName
+         os.remove(self.folderName + "/"+ self.fileName)
+            
+      self.out = None
+
+   def write(self,tweet):
+      if self.tweetCount == 0:
+         self.start() #initialize
+      if not self.first: #write delimiter if not the first item in the file
+
+         if self.tweetTextOnly: #for tweet only, just put line break. For tweet json, put comma
+            self.out.write("\n")
+         else: 
+            self.out.write(",\n")
+
+      self.first = False
+      
+      if self.tweetTextOnly: #for tweet only
+         self.out.write(tweet)
+      else:
+         self.out.write(str(tweet))
+
+      self.tweetCount += 1
+
+      if self.tweetCount == self.maxCount:
+         self.end()
+         self.tweetCount = 0
+
+
diff --git a/README.md b/README.md
index 0d616f3..e2acfae 100644
--- a/README.md
+++ b/README.md
@@ -1,48 +1,3 @@
-# Storing, Retrieving, and Analyzing Social Media Data Using MongoDB#
+Please look at "ReadMe_Assignment3.pdf 
 
-
-
-
-##  Background Info ##
-This assignment is built on top of the previous assignment.
-
-We'd like to utilize the twitter data (raw formats) that you gathered in assignment 2. 
-
-##Lexical diversity  ##
-Lexical diversity is a measurement that provides a quantitative measure for the diversity of an individual's or group's vocabulary.  It is calculated by  finding the number of unique tokens in the text divided by the total number of tokens in the text. 
-
-## 1-Storing Task ##
-
-
-  1.1- Write a python program to automatically store the JSON files (associated with the #microsoft and #mojang hash tags) 
-     returned by twitter api in  a database called db_streamT.
-     
-  1.2- Write a python program to insert the chucked data tweets (of assignment 2) that you have stored on S3 to mongoDB 
-     in a database called db_tweets.
-
-## 2-Retrieving and Analyzing Task ##
-  2.1- Analyze the tweets stored in db_tweets by finding the top 30 retweets as well as their associated usernames and the locations 
-   of users.
-   
-  2.2- Compute the lexical diversity of the tweets stored in db_streamT and store the results back to Mongodb. You need to create a collection 
-    with appropriate structure for storing the results of your analysis.
-    
-  2.3- Write a python program to create a db called db_followers that stores all the followers for all the users that
-     you find in task 2.1. Then, write a program to find the un-followed friends after a week for the top 10 users( users that have the highest number of followers in  task 2.1)
-     since the time that you extracted the tweets.
-     
-  2.4- .(Bonus task) Write a python program and use NLTK to analyze the top 30 retweets of task 2.1 as positive or negative (sentiment analysis). This is the bonus part of the assignment.
-
-##3-Storing and Retrieving Task##
-
-  3.1- Write a python program to create and store the backups of both db_tweets and db_streamT to S3. It also should have a capability of
-     loading the backups if necessary.
-     
-
-## What to Turn In ##
- 
-1. A link to your S3 bucket that holds the backups documented in your README.md file.  Make sure to make it publicly accessible.
-
-2. Your python codes.
-
-3. The plot of your lexical diversity in task 2.2 and the result of the sentiment analysis in task 2.4 if you complete the bonus part.
+Please disregard this text. I just put it there so I am introducing a change in file in order to be able to  create new pull request. 
diff --git a/README.md~ b/README.md~
new file mode 100644
index 0000000..2242ab7
--- /dev/null
+++ b/README.md~
@@ -0,0 +1 @@
+Please look at "ReadMe_Assignment3.pdf"
diff --git a/ReadMe_Assignment3.pdf b/ReadMe_Assignment3.pdf
new file mode 100644
index 0000000..6c2f382
Binary files /dev/null and b/ReadMe_Assignment3.pdf differ
diff --git a/test_please_disregard/fill_db_streamT.py b/test_please_disregard/fill_db_streamT.py
new file mode 100644
index 0000000..b06bcd6
--- /dev/null
+++ b/test_please_disregard/fill_db_streamT.py
@@ -0,0 +1,49 @@
+import os
+import sys
+import tweepy
+import datetime
+#mport urllib
+import signal
+import json
+import boto
+from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#create table
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+aws_access_key_id =''
+aws_secret_access_key= ''
+aws_bucket_name=''
+
+
+s3conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+bucket = s3conn.get_bucket(aws_bucket_name)
+
+#get tweets from S3 and dump them into db_streamT
+for key in bucket.list():
+           #each file contains 500 tweets, split them up and put each tweet json data into the table
+           key.get_contents_to_filename("fromS3/" + key.name)
+           directory = os.getcwd() + "/fromS3"
+           filer = open(directory +"/"+ key.name,"r")
+           data=json.loads(filer.read())
+           #tweets =  {"name":key.name,"fileContent": filer.read()}
+           #db_streamT.insert(tweets)
+           filer.close()
+           #file was read into memory, now delete it to save disk space
+           os.remove(directory+"/"+key.name)
+           for tweet in data:
+                 temp = {"id":tweet['id'],"tweetJson":tweet}
+                 db_streamT.insert(temp)
+                 
+
diff --git a/test_please_disregard/fill_db_streamT.py~ b/test_please_disregard/fill_db_streamT.py~
new file mode 100644
index 0000000..59b01aa
--- /dev/null
+++ b/test_please_disregard/fill_db_streamT.py~
@@ -0,0 +1,49 @@
+import os
+import sys
+import tweepy
+import datetime
+#mport urllib
+import signal
+import json
+import boto
+from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#create table
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+aws_access_key_id ='AKIAIW66YJD5QMLM6NAQ'
+aws_secret_access_key= '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'
+aws_bucket_name='moonlightbucket'
+
+
+s3conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+bucket = s3conn.get_bucket(aws_bucket_name)
+
+#get tweets from S3 and dump them into db_streamT
+for key in bucket.list():
+           #each file contains 500 tweets, split them up and put each tweet json data into the table
+           key.get_contents_to_filename("fromS3/" + key.name)
+           directory = os.getcwd() + "/fromS3"
+           filer = open(directory +"/"+ key.name,"r")
+           data=json.loads(filer.read())
+           #tweets =  {"name":key.name,"fileContent": filer.read()}
+           #db_streamT.insert(tweets)
+           filer.close()
+           #file was read into memory, now delete it to save disk space
+           os.remove(directory+"/"+key.name)
+           for tweet in data:
+                 temp = {"id":tweet['id'],"tweetJson":tweet}
+                 db_streamT.insert(temp)
+                 
+
diff --git a/test_please_disregard/fill_db_tweets.py b/test_please_disregard/fill_db_tweets.py
new file mode 100644
index 0000000..f928adf
--- /dev/null
+++ b/test_please_disregard/fill_db_tweets.py
@@ -0,0 +1,31 @@
+import os
+#jjimport sys
+#import tweepy
+#jimport datetime
+#mport urllib
+#import signal
+import json
+#import boto
+#from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+#from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+from bson.json_util import dumps
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+db_tweets = mongoConnection['twitter_analyzer'].db_tweets
+
+#extract tweet from tweet json 
+for tJson in db_streamT.find():
+   tweetOnlyEntry = {"id" : tJson['id'], "text" : json.loads(dumps(tJson['tweetJson']))['text']}
+   db_tweets.insert(tweetOnlyEntry)
+exit()
+
diff --git a/test_please_disregard/histTest.txt~ b/test_please_disregard/histTest.txt~
new file mode 100644
index 0000000..e69de29
diff --git a/test_please_disregard/histoTest.txt b/test_please_disregard/histoTest.txt
new file mode 100644
index 0000000..3cdb8bc
--- /dev/null
+++ b/test_please_disregard/histoTest.txt
@@ -0,0 +1,8 @@
+13 Microsoft
+14 Game
+15 Best
+18 Wow
+19 Play
+20 Do
+21 Team13
+21 Team
diff --git a/test_please_disregard/myTestFor2_3.py b/test_please_disregard/myTestFor2_3.py
new file mode 100644
index 0000000..dcf511c
--- /dev/null
+++ b/test_please_disregard/myTestFor2_3.py
@@ -0,0 +1,56 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+
+#twitter setup
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+#for uid in topRetweetedUserList: 
+#   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+#for each user, make a twitter followers/id call to get list of his/her followers' ids and store it in the db_followers
+#db_follower will have 30 rows, the format for each row is:
+#{"id":user id, followerIds: list of follower's ids}
+for uid in topRetweetedUserList:
+       if db_followers.find({'id' : uid}).count() != 0:
+          print "found"
+       else:
+          print "not found"
+
+
diff --git a/test_please_disregard/myTestFor2_3.py~ b/test_please_disregard/myTestFor2_3.py~
new file mode 100644
index 0000000..9b06d93
--- /dev/null
+++ b/test_please_disregard/myTestFor2_3.py~
@@ -0,0 +1,56 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+import tweepy
+import time
+
+#twitter setup
+consumer_key = "10G4NlBUpM9nusmE9nSoeGQnk"
+consumer_secret = "KcH2Ykf253L0tTCuzIyqDUPnkEZ7mZhIiHCYiS84LbZNCsQwRu"
+access_token = "2988143343-waN3T7DFy7j0Yn95hDdXOMLpdRfHzG66SnOZlHO"
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#mongo setup
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+db_followers = mongoConnection['twitter_analyzer'].db_followers
+
+
+#create an array of unique users
+topRetweetedUserList = dict()
+
+for userJson in db_top30RetweetedUsers.find():
+
+   userId = userJson['id']
+
+   #get followers Count for cross checking
+   followersCount = json.loads(dumps(userJson['userInfo']))['followers_count']
+
+   if userId not in topRetweetedUserList:
+      topRetweetedUserList[userId]  = followersCount
+
+#check the list to make sure it has what I want 
+#for uid in topRetweetedUserList: 
+#   print str(uid) + " " + str(topRetweetedUserList[uid])
+
+#for each user, make a twitter followers/id call to get list of his/her followers' ids and store it in the db_followers
+#db_follower will have 30 rows, the format for each row is:
+#{"id":user id, followerIds: list of follower's ids}
+for uid in topRetweetedUserList:
+       if db_followers.find({'id' : uid}).count() != 0:
+          print "found"
+       else:
+          print "not found"
+
+
diff --git a/test_please_disregard/original_2_2_get_top30tweets.py b/test_please_disregard/original_2_2_get_top30tweets.py
new file mode 100644
index 0000000..41bf02f
--- /dev/null
+++ b/test_please_disregard/original_2_2_get_top30tweets.py
@@ -0,0 +1,74 @@
+#Kasane Utsumi 
+import os 
+import json
+import pymongo
+from bson.json_util import dumps
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+db_retweets = mongoConnection['twitter_analyzer'].db_all_retweets
+db_top30RetweetedUsers = mongoConnection['twitter_analyzer'].db_top30_users
+
+db_retweets.drop()
+db_top30RetweetedUsers.drop()
+
+#create a dictionary of retweeted id is key, and number of occurrence as a value 
+retweetDict = dict()
+
+#also, dump all of the tweets into db_all_retweets so it would be easy to get user and location for top 30 later. 
+
+for tJson in db_streamT.find():
+   tweetJson = json.loads(dumps(tJson['tweetJson'])) 
+   if 'retweeted_status' in tweetJson: 
+      retweet = tweetJson['retweeted_status'] 
+      id = retweet['id'] 
+      retweetDBEntry = {"id" : id, "retweetJson" : retweet} 
+      db_retweets.insert(retweetDBEntry) 
+      if id in retweetDict: 
+         retweetDict[id] += 1 
+      else: retweetDict[id] = 1 
+
+
+#check the dictionary to make sure it has what I want 
+#for key in retweetDict: 
+   #if (retweetDict[key] >1): 
+      #print str(key) + " " + str(retweetDict[key]) 
+
+#convert retweetDict into tuples so I can sort by number of frequencies, then sort by frequncy 
+retweetTuple = sorted(tuple(retweetDict.iteritems()),key=lambda x: (-x[1],x[0]))
+
+#check the tuple to see if it has what I want
+#for (id,frequency) in retweetTuple:
+   #if frequency > 1:
+      #print str(id) + " " +str(frequency)
+
+#print out the top tweeted user , also store them in top30_users collection so they can be retreived for other analysis
+tupleIndex = 0
+for (id,frequency) in retweetTuple:
+   retweet = db_retweets.find_one({"id":id})
+   
+   if (retweet == None):
+      print "Something went wrong, could not find retweet with id" + str(id)
+   else:
+      retweetJson = json.loads(dumps(retweet["retweetJson"]))
+      topTweetedUser = retweetJson['user']
+
+      userDBEntry = {"id": topTweetedUser['id'], "userInfo" : topTweetedUser}
+      db_top30RetweetedUsers.insert(userDBEntry)
+ 
+      #print out retweet, user name and location
+      print "Top Retweet Rank " + str(tupleIndex+1) 
+      print "Tweet: " + retweetJson["text"]
+      print "User: " + topTweetedUser["name"] + " at " + topTweetedUser['location']
+      print " "
+ 
+      #get only top 30
+      tupleIndex = tupleIndex + 1   
+      if tupleIndex == 30:
+         exit()
diff --git a/test_please_disregard/test.py b/test_please_disregard/test.py
new file mode 100644
index 0000000..45b08d5
--- /dev/null
+++ b/test_please_disregard/test.py
@@ -0,0 +1,49 @@
+import tweepy
+import urllib
+import pymongo
+import sys
+import json
+from bson.json_util import dumps
+
+
+#configure tweepy
+consumer_key = ""
+consumer_secret = ""
+access_token = ""
+access_token_secret = ""
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#get string to search for and start and end date from urllib
+q = urllib.quote_plus("#microsoft OR #mojang")
+start = urllib.quote_plus(sys.argv[1])
+end = urllib.quote_plus(sys.argv[2])
+
+#set up mongodb collection
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#get tables - will create separate table for each day and merge all of the tables into db_streamT later. 
+#I will do this so that if error happens while getting tweets for one day I don't have to run the program
+# for entire week again. 
+database = mongoConnection['twitter_analyzer']
+db_streamT = database['db_streamT' + start]
+
+#clean table is there are any data
+db_streamT.drop()
+
+
+
+# Additional query parameters:
+# since: {date}
+# until: {date}
+# Just add them to the 'q' variable: q+" since: 2014-01-01 until: 2014-01-02"
+
+
+for tweet in tweepy.Cursor(api.search,q=q+" since:" + start + " until:" + end).items():
+   db_streamT.insert(tweet._json)
+   
diff --git a/test_please_disregard/test.py~ b/test_please_disregard/test.py~
new file mode 100644
index 0000000..d14883c
--- /dev/null
+++ b/test_please_disregard/test.py~
@@ -0,0 +1,49 @@
+import tweepy
+import urllib
+import pymongo
+import sys
+import json
+from bson.json_util import dumps
+
+
+#configure tweepy
+consumer_key = ""
+consumer_secret = ""
+access_token = "
+access_token_secret = "TDd8WId2f7Cw8jDLdPcjJRM5lTlMGYiuLjUl1ped21euS"
+
+auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
+auth.set_access_token(access_token, access_token_secret)
+api = tweepy.API(auth_handler=auth,wait_on_rate_limit=True,wait_on_rate_limit_notify=True)
+
+#get string to search for and start and end date from urllib
+q = urllib.quote_plus("#microsoft OR #mojang")
+start = urllib.quote_plus(sys.argv[1])
+end = urllib.quote_plus(sys.argv[2])
+
+#set up mongodb collection
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#get tables - will create separate table for each day and merge all of the tables into db_streamT later. 
+#I will do this so that if error happens while getting tweets for one day I don't have to run the program
+# for entire week again. 
+database = mongoConnection['twitter_analyzer']
+db_streamT = database['db_streamT' + start]
+
+#clean table is there are any data
+db_streamT.drop()
+
+
+
+# Additional query parameters:
+# since: {date}
+# until: {date}
+# Just add them to the 'q' variable: q+" since: 2014-01-01 until: 2014-01-02"
+
+
+for tweet in tweepy.Cursor(api.search,q=q+" since:" + start + " until:" + end).items():
+   db_streamT.insert(tweet._json)
+   
diff --git a/test_please_disregard/test_dbStream.py b/test_please_disregard/test_dbStream.py
new file mode 100644
index 0000000..a531df6
--- /dev/null
+++ b/test_please_disregard/test_dbStream.py
@@ -0,0 +1,34 @@
+import os
+#jjimport sys
+#import tweepy
+#jimport datetime
+#mport urllib
+#import signal
+import json
+#import boto
+#from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+#from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+from bson.json_util import dumps
+from bson.json_util import loads
+
+
+try:
+   mongoConnection = pymongo.MongoClient()
+except:
+   print "Connection failed"
+   exit()
+#get tables
+db_streamT = mongoConnection['twitter_analyzer'].db_streamT
+
+#extract tweet from tweet json 
+for tJson in db_streamT.find():
+   print json.loads(dumps(tJson['tweetJson']))["text"].encode('utf8')
+   #print json.loads(dumps(tJson['tweetJson']))
+   exit() 
+
+
diff --git a/test_please_disregard/test_plot.py b/test_please_disregard/test_plot.py
new file mode 100644
index 0000000..47df98d
--- /dev/null
+++ b/test_please_disregard/test_plot.py
@@ -0,0 +1,15 @@
+import numpy as np
+import pylab as pl
+dic = {}
+with open ("histoTest.txt") as sourceFile:
+   for line in sourceFile:
+      print(line)
+      (key,val) = line.split(" ")
+      dic[int(key)] = val
+
+X=np.arange(len(dic))
+pl.bar(X,dic.keys(),width=0.2)
+pl.xticks(X,dic.values())
+ymax= max(dic.keys())+1
+pl.ylim(0,ymax)
+pl.show()
diff --git a/test_please_disregard/test_plot.py~ b/test_please_disregard/test_plot.py~
new file mode 100644
index 0000000..c6f2416
--- /dev/null
+++ b/test_please_disregard/test_plot.py~
@@ -0,0 +1,14 @@
+import numpy as np
+import pylab as pl
+dic = {}
+with open ("histoTest.txt") as sourceFile:
+for line in sourceFile:
+print(line)
+(key,val) = line.split(" ")
+dic[int(key)] = val
+X=np.arange(len(dic))
+pl.bar(X,dic.keys(),width=0.2)
+pl.xticks(X,dic.values())
+ymax= max(dic.keys())+1
+pl.ylim(0,ymax)
+pl.show()
diff --git a/test_please_disregard/test_s3.py b/test_please_disregard/test_s3.py
new file mode 100644
index 0000000..c72a902
--- /dev/null
+++ b/test_please_disregard/test_s3.py
@@ -0,0 +1,29 @@
+import os
+import sys
+import tweepy
+import datetime
+#mport urllib
+import signal
+import json
+import boto
+from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+
+
+
+aws_access_key_id =''
+aws_secret_access_key= ''
+aws_bucket_name=''
+
+
+s3conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+
+print "conn good"
+bucket = s3conn.get_bucket(aws_bucket_name)
+
+
diff --git a/test_please_disregard/test_s3.py~ b/test_please_disregard/test_s3.py~
new file mode 100644
index 0000000..7af3afa
--- /dev/null
+++ b/test_please_disregard/test_s3.py~
@@ -0,0 +1,29 @@
+import os
+import sys
+import tweepy
+import datetime
+#mport urllib
+import signal
+import json
+import boto
+from boto.s3.connection import S3Connection
+#import tweetserializer
+#import tweetanalyzer
+from boto.s3.key import Key
+#import numpy as np
+#import pylab as pl
+import pymongo
+
+
+
+aws_access_key_id ='AKIAIW66YJD5QMLM6NAQ'
+aws_secret_access_key= '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'
+aws_bucket_name='moonlightbucket'
+
+
+s3conn = S3Connection(aws_access_key_id,aws_secret_access_key)
+
+print "conn good"
+bucket = s3conn.get_bucket(aws_bucket_name)
+
+