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 tile of the screencast is analyzing data on women in the workplace.
It was published March 5, 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?
Each row represnts the information of men and women in the workplace and who actualy makes the most. The variables are gender, work hours, and occupation. The variables will help him find out the diffeence between women and men in the worplace.
Hint: For example, importing data, understanding the data, data exploration, etc.
His fist few steps involved placing all the data he collected before hand and placed it into r studio, the next was finding tables from a website and placed them into r studo for his information to be placed into a graph.
I did infact see a lot that we leanred in class and how it was really used, just how he is used all the data. The one thing that really caught my eye that I will always be famialr with is that he insterted an r chunk with almost everything he used in r studio. I really enjoyed seeing everything we learned and how so quick it can really be done and how all the infrmation you can collect by using the resources we learned in class.
The major finding was that women do actually make more money compared to men but only in a certain number of jobs not all of them. I found it interesting that men still dominate in the fact that they still make more money then women in the workplace.
The most interesting thing I learend is how in specfic jobs that I expected a speefici gender to make more and in the end they did not. Another would be how David Robinson collected all of this data with all the information he found.