1. Data Exploration Of Wikipedia
By: Tyrone McElrath, Andrew Sutton

2. Our Objective Check it out! https://wikinavigation.github.io
We Wanted to make a Visual representation of the web structure of a portion of wikipedia's site
Check it out!

3. Visualization makes Data Better
Data is Boring
Visualization makes it Interactive
Data is not consumer friendly
Visualization allows for greater ease of use
Data is sometime hard to correlate
Visualization can help show relations

4. Tools? D3.Charts All in one power graph builder for visualization
Pyri.Wikipedia
Python Library for Script
Python
Web Crawling Script for dataSet
GitHub
Repository for Demo

5. How we got our data
We used a python based api to collect and utilize the information on various wikipedia pages
We set Keywords up to start our web crawling script
Exported this information to json
We Used an Algorithm:
Pull web page information
Search for links that correspond best to the group of keywords
Select a link and span forward

6. What did we looked for? Clusters Nodes tightly linked together Paths
The links chose and ventured though
Variance
How much does the first node vary from other nodes?
Ex . telephone

7. We built a graph We built a graph
It pulls the json from the python script
Its pretty
Aesthetically pleasing
We have nodes and links and clusters
We wanted to show how one node is connected to another
Display Site

8. Why? Wanted to explore new technologies in visualizations
See if things that are normally not associated with each other have a correlation
Learn
We were kinda confused on what we were gonna do
Conclusion:
Because we didn't have a better Idea and we were running out of time

9. Improvements More time learning the visualization library
Bigger search span
More research

10. Thank you!
Questions?