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.
Analyzing NCAA Women’s Basketball ## Q2 When was it published? October 6, 2020 ## Q3 Describe the data 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? Source of the data: FiveThirtyEight
Hint: For example, importing data, understanding the data, data exploration, etc. To import the data, Dave uses the slug, “tidy_tuesday” and then proceeded to make modifications to the code. Dave inserted code chunks comparing the tournament wins and the regular season wins on the y axis to thew total amount of wins on the x axis.He was puzzled for a little bit about what the difference between conference wins and regular season wins was so he decided to use the tournament wins and regular season wins. He also analyzed whuch schools play the best in the tournament out of the ones that make the tournament most often and found that UCONN by far was the best.
Dave was using the same rstudio program that we used. He was much much more smooth during this process and knew what to type in to see out what he wanted. The basics of inserting an R chunk was something that I saw him do that we also learned how to do in class.As well as inserting graphs.
The major finding from this data analysis is that UCONN, Stanford and Tennessee make the tournament every year since the 64 team tournament has been around.UCONN dominating the tournament was also one of his finds with an average of 4.5 wins per year meaning on average they will be in the finals any given year. Tennessee and Stanford being second and third. He also found that teams from the PAC-12, SEC and Big East conferences are the most successful in the tournament. He found that the first 2 seeds of the tournament tend to make it the farthest and much more likely to make the final 4.
The most interesting thing about this video was how fast he was able to just find information that he wanted just by typing in a few code chunks. His knowledge of the Rstudio program is really amazing. He just knows what to type and he gets the information that he wants.