Hello everyone!

A couple months I made a couple posts about the possibility a visualization of various War Room statistics for the 2016 season. Now, I want to make it a reality.

The main goals of this project are the following:

• Collect and/or mine data from Mafia games that started and ended in TWR Season 2016 (Starting with Random Messages Mafia) and ending with whatever last Mafia game that the mods decides to end for Season 2016.

• Use the data to create some interesting analysis about TWR Season 2016.

• Provide awesome data visualizations that effectively conveys the data and the analysis

These goals are subject to change depending on circumstances. Hopefully they don't change for any reason.

This thread will serve the following purpose:

• To provide updates and comments about how the project is doing.

• To let other people ask questions and make suggestions about the project.

• Transparency and an opportunity for you all to be involved in this project

• To make sure that Piko stays accountable in delivering this project and something to document to put on his portfolio by providing regular updates

Nothing yet

Here some links relating to this project:

Github (This is where the source code will be found): Pika1994/twr-stats-project · GitHub
Blogspot: The War Room Analytics Project 2016

To clone the repo, enter the following command in the Git Shell:

Code:

git clone https://github.com/Pika1994/twr-stats-project.git

Anyone who's interesting in helping me out with the project, please send me a PM, Skype or Discord me and we can talk.

I am excited to be working on this project. Although this is a huge project for me, I am ready to take on such a challenge. I hope that you will learn a lot from this and upcoming posts about this project as I am going to.

The next update will be about what technologies I will be using to make this project possible. It will be a rough outline in the challenges that the project will face and how these challenges are going to be solved.

I will start this thread with the following questions, simple questions with so many possible answers: