Part A
Here, I have constructed a time series plot for two different shows; Chicago and Wicked from Broadway shows on the basis of the attendance from 1990 to 2016. From this plot below; it becomes much easier to compare the two shows on the basis of the attendance and see change in the number of attendance.
At the beginning, i. e, around 1990, approximately 8000 people attended the show “Chicago”, it increased to 12000 in 1996 and decreased to 5000 attendance in the year 2000. And the trend was almost constant after that year except in 2003 where least attendance was recorded which was about 1000 for the show, Chicago. While, people started attending “Wicked” in 2003 and the attendance as higher in compare to Chicago, around 13000 and dropped to approximately 8000 in 2007. Even if the trend was irregular for the show, Wicked, there was some constant trend from 2007 to 2013 and 2013 to 2016.
Part B
Here, we have use simulated function of two variables to display in a plot. The values of the function are grouped into 5 different categories depending on their magnitudes.
In my plot, it is easier to see how the levels are changing as I have used only one color with its different order. With the change or say increase in the order, we can get an idea about the change in the level of the magnitudes, without looking at the key to understand the level of intensity of the regions. While, in the plot given by Dr Albert, due to the use of multiple colors it is harder to understand the change in the order of the values. We have to look at the key every time to understand the intensity of the regions. Thus, my set of color is better than the one Dr. Albert chose.