Exercise

# Exploring raw time series

The most common first step when conducting time series analysis is to display your time series dataset in a visually intuitive format. The most useful way to view raw time series data in R is to use the print() command, which displays the `Start`

, `End`

, and `Frequency`

of your data along with the observations.

Another useful command for viewing time series data in R is the length() function, which tells you the total number of observations in your data.

Some datasets are very long, and previewing a subset of data is more suitable than displaying the entire series. The `head(___, n =___)`

and `tail(___, n =___)`

functions, in which `n`

is the number of items to display, focus on the first and last few elements of a given dataset respectively.

In this exercise, you'll explore the famous River Nile annual streamflow data, `Nile`

. This time series dataset includes some metadata information. When calling `print(Nile)`

, note that `Start = 1871`

indicates that 1871 is the year of the first annual observation, and `End = 1970`

indicates 1970 is the year of the last annual observation.

Instructions

**100 XP**

- Use the
`print()`

function to display the River Nile data. The data object is called`Nile`

- Use the
`length()`

function to identify the number of elements in your`Nile`

dataset. - Use
`head()`

to display the first 10 elements of the Nile dataset. To do so, set the`n`

argument equal to`10`

. - Use
`tail()`

to display the last 12 elements of the Nile dataset, again setting an appropriate value to the`n`

argument.