Time series object
Many companies gather time-dependent data to look for trends or seasonal variations. As time is irregular, wrangling time-dependent data might be hard, especially in a stressful setting, such as a job interview.
Coercing data to a time series object makes it easier to analyze such datasets.
The xts object takes the following arguments:
x- a set of values,order.by- a set of corresponding dates (which need to be of theDateclass).
In this exercise, you will work with natural gas prices. The dataset contains two variables:
Price- numerical values,Date- dates stored as factors.
The gas dataset is available in your environment.
This exercise is part of the course
Practicing Statistics Interview Questions in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(xts)
# View the structure of gas
str(___)
# Coerce to date class
gas$Date <- ___(gas$Date)