Question

Suppose you had daily temperature data indicating the "high" point of each day for 2015. If you want to show how the high differs over time, what are some of the plot types that will allow you do this? What are some benefits to binning the data into one of 52 weeks and plotting the average high for each week? Would it make sense to do something similar for the four quarters in the year? Why or why not?

Answer 1

Answer:

Restricting the information into one of 52 weeks has the bit of leeway that measure of information to be appeared on a solitary plot decreases which clears a path for a superior and progressively precise introduction.

Secondly, since the plot utilized is week's normal high temp versus week number, the plot will demonstrate higher qualities for some week numbers and lower for other people, in light of the occasional impacts. On the off chance that quarterly approach is utilized, the plot will be of quarter's normal temperature versus quarter number.

This will have just 4 information focuses since there are just 4 quarters in a year. This will be an over-disentanglement of the given situation and would conceal the greater part of the varieties which would be noticeable on a 52-week scale.

Hence,52-week approach is better.