Analysis of GOT series

Exercice 2

We have a dataset one screentime and numbber of episode for every character starred in Game Of Thrones. Tyron Lannister is both the character with the most screentime and appearing in most episode. One outlier has a 100 minutes screentime in only a few episodes - who is this guy??

Exercice 3

Add the R Code from Got-1

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

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

library("ggrepel")

Warning: package 'ggrepel' was built under R version 4.3.3

#load the data set
screentimes <- read_csv("GOT_screentimes_1.csv")

Rows: 191 Columns: 6
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (4): name, imdb_url, portrayed_by_name, portrayed_by_imdb_url
dbl (2): screentime, episodes

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

# Select the character with the highest screenstimes
screentimes_high <- top_n(screentimes, 10, screentime)

# Make a scatterplot screentime vs. episodes.
# Label the characters with the highets screentimes 

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

Warning: Removed 15 rows containing missing values (`geom_point()`).