Game Of Thrones Deaths Dataset

All of Game Of Thrones Deaths

By Makeover Monday [source]

About this dataset

This file contains data on the deaths that have occurred in the Game of Thrones TV series. The data includes the name of the character who died, how they died, and who was responsible for their death

How to use the dataset

This dataset is a collection of data on the deaths that have occurred in the Game of Thrones TV series. The data includes information on the character, how they died, and who killed them. This dataset can be used to research various aspects of the show, such as which characters are most likely to die, or who is responsible for the most deaths

Research Ideas

• Predicting which characters are most likely to die in future seasons of the show
• Determining which actors/actresses are most likely to be killed off
• Analyzing the impact of major character deaths on viewership

Acknowledgements

Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: game-of-thones-deaths.csv | Column name | Description | |:--------------------------|:--------------------------------------------------------------| | game-of-thones-deaths | The number of deaths in each episode of the series. (Numeric) |

Acknowledgements

If you use this dataset in your research, please credit Makeover Monday.

Context

Simply for data analytics purpose. Content

Contains the information about the series Game of Thrones:

Season
Episode
Air date
Title
Average Rating
Number of Ratings
Description 

Acknowledgements

IMDB .

Novels

Character Interaction Networks for George R. R. Martin's "A Song of Ice and Fire" saga

These networks were created by connecting two characters whenever their names (or nicknames) appeared within 15 words of one another in one of the books in "A Song of Ice and Fire." The edge weight corresponds to the number of interactions.

You can use this data to explore the dynamics of the Seven Kingdoms using network science techniques. For example, community detection finds coherent plotlines. Centrality measures uncover the multiple ways in which characters play important roles in the saga.

This is the data for the work presented here: https://networkofthrones.wordpress.com by Andrew Beveridge.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Series

Character Interaction Networks for the HBO Series "Game of Thrones"

These networks were created by parsing fan-generated scripts from https://genius.com/artists/Game-of-thrones. Pairs of characters are connected by (undirected) edges weighted by the number of interactions.

There are five interaction types. Character A and Character B are connected whenever: 1. Character A speaks directly after Character B 2. Character A speaks about Character B 3. Character C speaks about Character A and Character B 4. Character A and Character B are mentioned in the same stage direction 5. Character A and Character B appear in a scene together

You can use this data to explore the dynamics of the Seven Kingdoms using network science techniques. For example, community detection finds coherent plotlines. Centrality measures uncover the multiple ways in which characters play important roles in the saga.

This is the data for the work presented here:

https://networkofthrones.wordpress.com by Andrew Beveridge

and in the scholarly essay

Andrew Beveridge and Michael Chemers, "The Game of 'The Game of Thrones': Networked Concordances and Fractal Dramaturgy", in: Paola Brembilla and Ilaria De Pacalis (eds.), Reading Contemporary Serial Television Universes: A Narrative Ecosystem Framework, Routledge, 2018.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Acknowlegement

Foto von mauRÍCIO SANTOS auf Unsplash

Comprehensive market data and analytics for GAME OF THRONES THE CARD GAME. HOUSE CARD: STARK BRAND NEW & SEALED! including pricing distribution, seller metrics, and market trends.

Dataset containing every death in George R.R. Martin universe: A song of Ice and Fire.

The dataset is structured around basic information of the characters as well as which book and chapter they died in.

Can you explain when in the book most people tend to do?

Which family lost the most members in which book and where they noble or commoners?

The columns in the dataset are as follows:

Under what conditions can dictatorships manage peaceful leadership transitions? This article argues that constitutional succession rules are critical for modern dictatorships, contrary to the predominant scholarly focus on hereditary succession or parties. An effective succession rule needs to solve dual problems of peaceful exit and peaceful entry. First, the rule must enable incumbents to exit power peacefully by reducing coup threats. Second, the rule must empower the designated successor to ensure that they can enter power peacefully. Constitutional rules help solve both problems, and are particularly effective when they appoint the vice president as the designated successor. The vice president’s access to material resources deters other factions from challenging the succession procedure, whereas designating successors without a power base is ineffective. Using original data on constitutional rules in African autocracies, I show that regimes that formally designate the vice president as the successor are more likely to undergo peaceful transitions.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

Data from Game of Thrones series

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

This statistic, based on data provided by Parrot Analytics, compares the audience demand for fantasy TV drama Game of Thrones to the next best performing television dramas in the United Kingdom (UK). On April 14, 2019, the day of the season 8 premiere, demand for Game of Thrones amounted to nearly ** million average demand expressions. In comparison, demand for the second most popular show, British science fiction program Doctor Who, was *** times lower, at *** million average demand expressions.

Comprehensive market data and analytics for A GAME OF THRONES CARD GAME CORE SET STRATEGY 2-4 PLAYERS ENGLISH 2023 including pricing distribution, seller metrics, and market trends.

introduction

These data sets shows the links existing between the different characters of the game of thrones during the first 5 books The data are in csv format and in the name of the files there is the book number from which they are extract.

Data origins

These datas are produced by datascientist who uses algorithms to determine links between characters. For instance the algorithm read the book and if in a sentence two names are separated by 5 words they are bounded.