Please use RStudio you have to use R and which is on RStudio I hope you won't say no data given. you just have to load the data from the library(fpp3) and run the code given on question 1. a. to import necessary data from the fpp3 library. 1. Import and format data a. Use code below to import data library(fpp3) ar <- aus_retail %>% filter(State == "Northern Territory", Industry == "Clothing, footwear and personal accessory retailing") b. Visualize the data using autoplot: autoplot(ar, Turnover). Is the variance constant. Visualize with a log transform (autoplot(ar, log(Turnover)). Does this transformation make the variance more uniform? c. Split the dataset into a train and test set to compare across forecasting methods i. Training set is data before 2018 ii. Test set is 2018 data
Please use RStudio
you have to use R and which is on RStudio
I hope you won't say no data given. you just have to load the data from the library(fpp3) and run the code given on question 1. a. to import necessary data from the fpp3 library.
1. Import and format data
a. Use code below to import data
library(fpp3)
ar <- aus_retail %>%
filter(State == "Northern Territory", Industry == "Clothing, footwear and personal accessory retailing")
b. Visualize the data using autoplot: autoplot(ar, Turnover). Is the variance constant.
Visualize with a log transform (autoplot(ar, log(Turnover)). Does this
transformation make the variance more uniform?
c. Split the dataset into a train and test set to compare across forecasting methods
i. Training set is data before 2018
ii. Test set is 2018 data
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