Intro to Time Series Analysis -Part 1
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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)
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