Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi, I have been trying to solve this problem on PowerBI for the past hours but nothing seems to work. Here is my script:
Where are you plotting to? Your code is missing the reference to the built-in plotting library.
I have modified my code to this:
# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script:
# dataset <- data.frame(Year, Sales revenue (£m))
# dataset <- unique(dataset)
# Paste or type your script code here:
# time series forecasting
dataset <- unique(dataset)
library(forecast)
# Assume the data starts from the first year available and increments yearly
sales_ts <- ts(dataset$`Sales revenue (£m)`, start = min(dataset$Year), frequency = 1)
# Fit an ARIMA model
fit <- auto.arima(sales_ts, seasonal = TRUE) # If seasonality might be a factor
# Forecast the next 5 years
future <- forecast(fit, h = 5)
# Plot the historical data and forecasts
plot(future)
This the plot:
I'm not sure why there is a gap between the historical data and the forecast
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
24 | |
17 | |
17 | |
13 | |
11 |
User | Count |
---|---|
33 | |
20 | |
20 | |
18 | |
11 |