Analysis of Game of Thrones

1 Game of Thrones Analysis

library("readr")
library("ggplot2")
library("dplyr")
library("ggrepel")

#Import Data
screentimes <- read_csv("Game of Thrones Dataset-20250305/GOT_screentimes_1.csv")

#Select the top 10 Person with the most screentime
screentimes_high <- top_n(screentimes, 10, screentime)

In Section 1.1 were going to analyse the characters with the top ten screentime in GOT.

1.1 Plot

#Plot the results
ggplot(screentimes, aes(screentime, episodes)) +
  geom_point() +
  geom_text_repel(data = screentimes_high,aes(label = name),min.segment.length = 0)

As shown in Table 1, the top 10 characters with the most screentime are listed.

library(knitr)


# Nur die gewünschten Spalten auswählen
table_filtered <- screentimes_high[, c("name", "screentime", "episodes")]

# Tabelle schön darstellen
kable(table_filtered)

Table 1: Screentime per Character

name	screentime	episodes
Tyrion Lannister	293.30	54
Jon Snow	268.15	49
Daenerys Targaryen	221.30	49
Cersei Lannister	201.45	52
Sansa Stark	199.30	47
Arya Stark	189.15	47
Jaime Lannister	162.30	43
Theon Greyjoy	123.30	39
Samwell Tarly	121.45	37
Jorah Mormont	117.30	42

The story of Game of Thrones has captivated audiences worldwide (Benioff et al. (2016)).

2 Houses

By the way Figure 1 is on Page XY.

Figure 1: Arryn

The following figures are the remaining houses in GOT.

(a) Baratheon

(b) Baylish

(c) Bolton

Figure 2: Houses in GOT

References

Benioff, David, David Brett Weiss, Katie Weiland, Crispin Green, and Tim Porter. 2016. Game of Thrones. Warner Home Video Denmark.