Choose one of David Robinson’s tidytuesday screencasts, watch the video, and summarise. https://www.youtube.com/channel/UCeiiqmVK07qhY-wvg3IZiZQ
Analyzing Pizza Ratings.
October 1st, 2019 is when it was published.
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 from Jared Lander.The data sets that are used are from the top pizza places from over the world from Barstoole sports analysis and made by Jared Lander and Tyler Richards. The observations that are shown are showing which pizza places are better from Barstoole sports perspectives. Variables that could make it change are different peoples likes and dislikes of pizza and who tries what and makes the reviews just based on their tastes rather than having a combination of people trying it and getting a combined score for the pizza. It shows maps and locations of the pizza locations and reviews that are already online about the pizza do not play a factor to Barstoole sports and they would rather listen to the people to hear their intake on the pizza. The data sets show that the people who try the pizza in large quantities get a better oportunity to have their place seen if they share videos and likes to Barstoole sports.
Hint: For example, importing data, understanding the data, data exploration, etc.
first Dave imports the data to R studio from the pizza places and loads up Tidyverse. He sorts though them, and incorporates packages and datasets to show the pizza places on the graphs correctly. He shows where there might be a problem and how to fix the data sets which helps people understand why problems may occur and how to fix their own data sets. When using certain data sets, he then has the pizza places scores in the data. He uses so many variables and codes that we have not used yet to help the data set run smoothly.
In the video, he goes over how to and where to insert the R functions which is how the data will run when you insert it. Also, we have learned how to make and depict graphs to show the data which is easier to understand which Dave shows how to in this video.
That there were no overlaps of the ones with community views than the critic reviews. Also Dave from Barstoole sports does not agree with critics for Barstoole sports and more agrees with customer reviews which is very interesting that he chooses the people more than the comapanies. I follow Barstoole sports when it comes to pizza reviews and this was very interesting to me.
How to find weighted averages and how to score the pizza places based on the percentage of respondace. Also seeing how the graphs come together at the end I though was very cool and interesting. ## Q9 Display the title and your name correctly at the top of the webpage.