# 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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