Choose one of David Robinson’s tidytuesday screencasts, watch the video, and summarise. https://www.youtube.com/channel/UCeiiqmVK07qhY-wvg3IZiZQ
You must follow the instructions below to get credits for this assignment.
The Golden Age of Television
January 9th, 2019
Hint: What’s the source of the data; what does the row represent; how many observations?; what are the variables; and what do they mean?
The source of the data is TidyTuesday. Each row is representing one season in a TV series.There are 868 observations. Variable n represents the number of seasons a show had, and other variables were based on the date, genre, ratings and who watched the shows.
Hint: For example, importing data, understanding the data, data exploration, etc.
Dave’s first approach was finding the CSV and a URL. Through the tidyverse he placed the link into r and imported the data. He then began testing different shows in the data to see if the ratings looked accurate. Analyzing data is easier when looking at specific variables at a time and finds the reaction.
Importing his data through library tidyverse is a common place where we import data. Dave used tools such as a geomline and box plots to explain the data and analyze it just as we did it class. Dave also used average and median formulas after grouping different seasons and a line of best fits to find the outlierss in television and if there was a trend by year.
That the probability of a show getting a season 2 is based off of the ratings of the first season. The higher the rating means the better probability that a second season will show. He also found that TV ratings in general have increased.
It was interesting that these tv shows did not have a general pattern when finding the averages of ratings by season, but the median showed that some ratings have strayed in a box plot. I also found it interesting when Dave compared six of the most varied shows and compared their ratings to find which had the most variance by season.