Update README.md

README.md

@@ -15,9 +15,9 @@ https://gitlab.unimelb.edu.au/feit-comp90024/comp90024/-/tree/master
 ## Data Sources
 1. Spatial Urban Data Observatory (SUDO): https://sudo.eresearch.unimelb.edu.au/
 2. Mastodon: https://mastodon.au and https://aus.social
-3. Melbourne Data - the City of Melbourne’s Open Data Platform
-4. Train Service Passenger Counts Dataset
-5. Real-time Traffic Congestion
+3. Melbourne Data - the City of Melbourne’s Open Data Platform: 
+4. Train Service Passenger Counts Dataset: 
+5. Real-time Traffic Congestion: 
 
 ## Scenarios and Analysis
 The project focuses on analyzing five scenarios:
@@ -25,4 +25,12 @@ The project focuses on analyzing five scenarios:
 2. Mastodon: Sentiment analysis influenced by traffic conditions, weather, and air quality.
 3. Pedestrian Counts: Analysis of pedestrian activity.
 4. Train Service Passenger Counts: Trends and volume of passenger flow.
-5. Real-time Congestion: Visualization of traffic congestion data.
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+5. Real-time Congestion: Visualization of traffic congestion data.
+
+## Table of Contents
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