Creating a zoo
zoo
objects are an essential tool in the time series analyst tool belt; many advanced functions in time series analysis require time series objects. Creating a zoo object from a vector or data frame is the first step in ensuring your data is ready for a time series analysis!
In this exercise, you'll create and visualize a time series of the average price of a particular card from a popular trading card game.
You'll use the core data stored in the vector cards_price
, as well as the index vector cards_index
, containing the date that each price was sampled.
cards_index
, cards_price
, and the zoo
and ggplot2
packages are available to use.
This exercise is part of the course
Manipulating Time Series Data in R
Exercise instructions
Return the head, or first six observations from
cards_index
.Return the head, or first six observations from
cards_price
.Generate a
zoo
object from your index and core data vectors, and assign it tocards_zoo
.Generate an autoplot of
cards_zoo
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Return the head of cards_index
___
# Return the head of cards_price
___
# Create a zoo object: cards_zoo
___ <- ___(x = ___, order.by = ___)
# Autoplot cards_zoo
___