41 Great British Bake Off

Readings

NEEDS TO BE UPDATED

Complete these readings if you have not yet:
- Chapter 12 Logical Vectors: R for Data Science (2nd ed)
  
  Chapter 13 Numbers: R for Data Science (2nd ed)

Guided Instruction

data structures
The previous guided instruction could still be helpful if you have not yet completed it: data wrangling with dplyr

The Great British Bake Off was a hit reality TV show that put amateur bakers against each other. Contestants were eliminated in each round until a winner was crowned. The show ran for 12 seasons (a season is called a series in the dataset) through 2021, with plenty of drama. You will analyze the show’s 7-day viewership (i.e. TV ratings over a 7 day period).

Specifically, you want to know how the 7-day viewership changes within a season and across seasons. In one graph, you compare the 7-day viewership for the season’s premiere and finale. In another graph, you compare the mean across seasons while not losing track of each episode’s 7-day viewership.

Read in the TV ratings data for the show using the following code. We will be using the ratings dataset. You can learn more about the data set by running ?ratings.
```
install.packages("remotes")
remotes::install_github("apreshill/bakeoff")
library(bakeoff)
```
Create a chart to illustrate the differences in seven-day viewership between the first and last episode of each season respectively.
Create another chart that displays the ratings for each and every episode AND the season’s mean rating. This should should only include series/seasons that have 10 episodes.
Write a paragraph or two in your .qmd file to discuss
- Patterns of viewership within a season
- Historical trends of the show’s viewership and changes over time
  - Perhaps a little internet surfing or Googling will help you find reasons for the viewership changes.
Render the updated `.qmd` file. Push all the files created in the rendering process into your GitHub repository.

Submit

In I-learn paste the link to the .md file on GitHub.