In the exercises below, we will work with Time Series analysis and see how R can make your life easier when working with Time Series.

doing Time Series Analysis.This will be a series of Exercises and I urge you to take it in series
Please install the package and load the library before starting
Answers to these exercises are available here.

Exercise 1

Install Forecast package ,1st step in any analysis is to see the data , use autoplot to plot the gold data set

available in forecast package .

Exercise 2
Find the outlier in the gold data .Find how far its from the median

Exercise 3

use ggseasonalplot to plot the gas data . See how each year stack with each other

Exercise 4

Now I want to plot the gas data for year 1990 and after .How do I achieve that .
Exercise 5

ggseasonalplot can be used to see seasonal plots as polar coordinates , plot the same data as above but use

polar coordinates instead .

Exercise 6
How can I see monthly time series of the gas price
Hint use monthplot or ggsubseriesplot

Exercise 7

For a timeseries ,we can find the dominant frequency of that time series and use it to our analysis .How to

find the frequency of gas data (assume that its a long /big data and you dont have a clue of the frequency)