https://github.com/sethuiyer/visualize-got

This code attempts to visualise the Game of thrones dataset in kaggle using t-SNE Visualization
https://github.com/sethuiyer/visualize-got

game-of-thrones kaggle t-sne visualization

Last synced: 4 months ago
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This code attempts to visualise the Game of thrones dataset in kaggle using t-SNE Visualization

• Host: GitHub
• URL: https://github.com/sethuiyer/visualize-got
• Owner: sethuiyer
• Created: 2016-12-24T08:34:50.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-12-26T16:10:59.000Z (over 8 years ago)
• Last Synced: 2025-01-03T04:20:11.108Z (5 months ago)
• Topics: game-of-thrones, kaggle, t-sne, visualization
• Language: Python
• Homepage:
• Size: 152 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# visualize-GOT

This code attempts to visualise the Game of thrones dataset in kaggle, Particularly [T-SNE Visualization](https://indico.io/blog/visualizing-with-t-sne/)

### Question 1: 

To which class is the NaN of the battles[last\_row][attacker\_outcome_column] is similar to? Win or Lose?

Executing `python visualise_battle.py`, we have this following graph 

![attacker](attacker.png)

So, Mostly it is similar to the **win** outcome.

### Question 2:

How allegiances, nobility and the appearence in the book affect the gender of charecter deaths.

![figure](figure_1.png)

We see some outliers in the death of male charecters.

### Question 3:

Which feature is more powerful in the prediction? Popularity or the fact that charecter is actually alive or not?

![figure](figure_2.png)

Here, we see clusters are forming among the classes which have the common theme of popularity. Hence, we can say popularity is much more a powerful feature in the prediction.