Forecasting with Prophet

[williaml]

@TalhaAsif

model_data <- data1 %>%
  select(date, pred, level2code, product) %>%
  ds = date %>%
  select(level2code, ds, pred)

Try one of these

# using rename
model_data <- data1 %>%
  select(date, pred, level2code, product) %>%
  rename(ds = date) %>%
  select(level2code, ds, pred)

# shorter - just renaming within select
model_data <- data1 %>%
# not sure what your other select was for
  select(level2code, ds = date, pred)

Also have a look at providing a better reproducible dataset as yours is not:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…