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 title of the screencast is Analyzing Ratings and Scripts from the office.
It was published on March 16, 2020.
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 data is in grouped by seasons, summarized by average rating means. then it organized by title and imb rating.
Hint: For example, importing data, understanding the data, data exploration, etc.
after importing it he greated a ggplot and broke it up by title, rating and season. then he added the facter by by season and rating. then he sorted the script rating by certain words and phrases by which character says it.he proceded to break up the data by useing similar facters.
I saw that he was using grouping which i learned in class, he was using some of the early data loting and organizeing that I learned to do early in the class.
His major findings is that certain characters say certain phrases and names of other characters a lot. he also found that the las season had higher ratings than the middle season.
One thing I liked was that David also liked The Office which made him more excited about it. I also like the fact that I found that you can use the r studio data stuff for other things that are not business or survey studies.