Week 3 READMEs

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/111.md

@@ -2,5 +2,5 @@
 
 If you couldn't find it, the Twitter Developer application is found [here](https://developer.twitter.com/en/apps). Using the Twitter API requires an account, so you'll need to follow the steps, starting with clicking “Apply”.
 
+<img src="Wk3Lab1Pics/2z9Atgn7jj_cS67D3ZraEgIWI0KX7oc4j_HIkohCMBuV0K4IAIT7OoAnA3sn2m8MEvt64d3BwnQHVX-EtmMIww6Co9muLQHllXtpyVvBnXKy_6Ni0cAoizl7NGgepek1OBQMnNd7Ggk.png">
 
-<img src="https://lh4.googleusercontent.com/2z9Atgn7jj_cS67D3ZraEgIWI0KX7oc4j_HIkohCMBuV0K4IAIT7OoAnA3sn2m8MEvt64d3BwnQHVX-EtmMIww6Co9muLQHllXtpyVvBnXKy_6Ni0cAoizl7NGgepek1OBQMnNd7Ggk">

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/113.md

@@ -5,4 +5,4 @@ After finishing your application, confirm your email and your account should be
 After finishing your application, confirm your email and your account should be processed and reviewed swiftly. 
 
 
-![img](https://lh4.googleusercontent.com/8BKvmctSfLQEKERSZIc9_3jKl7lnpkRJO3736TBuIkfwBzZhkZMmPL8hUnNjrCf27SqX1iZaHOv1RBrNfB2V1990cl9z35ojA-RjoDnN0vgn5XWuDhwMjpbbhHLj5J1qcuq4M2KSC4g)
+![img](Wk3Lab1Pics/8BKvmctSfLQEKERSZIc9_3jKl7lnpkRJO3736TBuIkfwBzZhkZMmPL8hUnNjrCf27SqX1iZaHOv1RBrNfB2V1990cl9z35ojA-RjoDnN0vgn5XWuDhwMjpbbhHLj5J1qcuq4M2KSC4g.png)

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/122.md

@@ -2,5 +2,5 @@
 
 In the creation of your app, fill out all the required information for your app details. For the website URL field, you can input any website, we used https://bitproject.org.  Leave the OAuth Callback URL, TOS and Privacy Policy fields blank.
 
-![img](https://lh6.googleusercontent.com/wCWo0frQNm2aPD3Fv30kMC90DQDk880eGb1KTGrL5I7dOjis95GoVBI2zJJ3tacIz-0ux9HFpgAYeB4Ym_LC2OAPabCMRzGeiRtnVRUbKAqn_PdGyMLunDhZCo_h-4XIysnYivjUwnI)
+![img](Wk3Lab1Pics/wCWo0frQNm2aPD3Fv30kMC90DQDk880eGb1KTGrL5I7dOjis95GoVBI2zJJ3tacIz-0ux9HFpgAYeB4Ym_LC2OAPabCMRzGeiRtnVRUbKAqn_PdGyMLunDhZCo_h-4XIysnYivjUwnI.png)
 

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/21.md

@@ -6,4 +6,5 @@ Paste your keys and tokens in the allocated space. You'll want to authenticate i
 2. Set your access tokens with `auth.set_access_token()`
 3. Create a API object in `tweepy` to fetch tweets: `tweepy.API(auth, wait_on_rate_limit=True)`
 
-![image](https://images.pexels.com/photos/46148/aircraft-jet-landing-cloud-46148.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=650&w=940)
+![image](/Users/ryankuang/Documents/GitHub/curriculum/Module_Twitter_API/labs/Week 3/Airline Sentiment Analysis/Wk3Lab1Pics/aircraft-jet-landing-cloud-46148.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=650&w=940.png)
+

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/211.md

@@ -18,5 +18,4 @@ This line enables access to our authentication object with our access token and
 
 Setting the above tokens is telling the Twitter API that you are the one using the application! Great job!
 
-![image](https://images.pexels.com/photos/1309644/pexels-photo-1309644.jpeg?auto=compress&cs=tinysrgb&dpr=1&w=500)
-
+![](https://images.pexels.com/photos/1309644/pexels-photo-1309644.jpeg?auto=compress&cs=tinysrgb&dpr=1&w=500.png)

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/3.md

@@ -20,5 +20,5 @@ The function `produce_dataframe(search_dict, num_tweets)` should complete the fo
 
 You are not allowed to change any function definition or code that was given to you. The end result should look like this:  
 
-![image]() 
+![dataframe_result (1)](Wk3Lab1Pics/dataframe_result (1).png)
 

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/31.md

@@ -13,5 +13,5 @@ The function we want to use is `pandas.Dataframe(arguments)`. Use the argument:
 
 If you run your code before inserting any data, your graph should look like this: 
 
-![image]()
+![image](Wk3Lab1Pics/Airline_DF.png)
 

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/4.md

@@ -10,5 +10,4 @@ The goal for this card is to create a *new* dataframe that's columns are the dat
 
 To do this, choose just *one* airline whose data you will perform analysis on, and create a dataframe that looks like the one below: 
 
-![](https://projectbit.s3-us-west-1.amazonaws.com/darlene/labs/Airline_DF.PNG)
-
+![](Wk3Lab1Pics/Airline_DF.png)

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/423.md

@@ -20,4 +20,4 @@ for colName, colData in df.iteritems():
 
 Great job! Next, we'll create a graph derived from the dataframe we just created!
 
-![image](https://images.pexels.com/photos/747079/pexels-photo-747079.jpeg?auto=compress&cs=tinysrgb&dpr=1&w=500)
+![](https://images.pexels.com/photos/747079/pexels-photo-747079.jpeg?auto=compress&cs=tinysrgb&dpr=1&w=500.png)

Computational-Social-Science-Twitter-Topic/Module3-Sentiment-Analysis/Lab-Airline-Sentiment-Analysis/README.md

@@ -17,4 +17,4 @@ Students will use the Twitter API to analyze sentiments about airline tweets
 
 # Difficulty
 
-Medium
+Medium