**R-exercises**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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)

**leave a comment**for the author, please follow the link and comment on their blog:

**R-exercises**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.