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  3. Visualizing Time Series Data in R

Exercise

A comprehensive time series diagnostic

Each plotting function that you've learned so far provides a different piece of insight about a time series. By putting together the histogram, the box and whisker plot, the autocorrelogram, and the q-q plot, you can gather a lot of useful information about time series behavior.

In this exercise, you will explore the ExxonMobil return data in the rtn series available in your workspace.

Instructions

100 XP
  • Draw a histogram of rtn, scale it to a probability density, and add a red line to the plot showing the density of rtn
  • Draw a boxplot of rtn
  • Draw an autocorrelogram of rtn
  • Draw a q-q plot of rtn and add a red reference line showing the normal distribution