Time series forecasting using tsibble and fable.

A visually engaging illustration that represents time series forecasting with charts and data elements, featuring elements that allude to R programming and data science aesthetics.

Time Series Forecasting Quiz

Test your knowledge on time series forecasting using the tsibble and fable packages in R! This quiz is designed for individuals who are interested in learning more about the structures and functionalities of these essential tools in data science.

Challenge yourself with questions about:

  • The developers and maintainers of the packages
  • Key components of tsibble structure
  • Commands associated with fable and tsibble
11 Questions3 MinutesCreated by ForecastMaster217
What is the old version of fable package?
Feasts
Forecast
PyAF
Tsfresh
Who’s the developer and maintainer of the tsibble package?
Earo Wang
Mitchell O’Hara-Wild
Di Cook
Rob Hyndman
What is/are part/s of tsibble structure?
Key
Measurements
Id
Index
What is order of making a tsibble?
Import data
Check for duplicates
Fix duplicates if available
Create tsibble
Check gaps
Fill them, if available
Time series transfor
Who told “A fable is never true, but it tells you something important about reality - and that’s what a forecast is”?
Mitchell O’Hara-Wild
Di Cook
Rob Hyndman
Earo Wang
What’s on the tsibble logo?
A cat
Pipe symbol
A clock
A book
Which command(s)belong(s) to fable package?
Autoplot()
Forecast()
Duplicates()
Accuracy()
Which command(s) do(does) NOT belong to the tsibble package?
Select()
Fill_gaps()
Filter()
Append_row()
Select all that apply.
The forecast can be used for both point forecast and prediction intervals.
In fable, data, model and forecast objects athe fable, data, model, and forecast.
The index column can be removed from tsibble.
The fabletools package should be loaded before loading the fable package.
What does tsibble stands for?
Tibble
Tidyverse tibble
Time series tibble
Temporal tibble
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