How to graph price against months from an End-week-date format

[milaruseva11]

Hello!

I have this data set with info about different products such as prices, sales, etc. I want to graphically show hoe prices vary over time with each category being a different line on the same graph. I'm having trouble changing grouping the data by months.
I used this function:
new_transactions <- separate(transactions, WEEK_END_DATE, c("Day", "Month", "Year")
but I'm not sure if it is right and if so how do I plot it with ggplot?

Also, I can't seem to be able to use the mean price for each month, if you can also help me with that

I tried this:
clean_new_transactions <- new_transactions %>%
filter(PRICE != 0) %>%
drop_na(.) %>%
group_by(WEEK_END_DATE, CATEGORY)
#The graph
ggplot(clean_new_transactions, aes(x = "Months" , y = mean_price )) +
geom_line()
but again it doesn't work..

Thank you for the help in advance!

[nirgrahamuk]

unfortunately we don't have your data to run your code against.

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

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 0.2…