What it does

ARIMA looks at past numbers in order and uses them to guess future numbers.

Time Series: Data in time order • Seasonality: Repeating cycles

How it works

  • Read the history of values.
  • Look for patterns and changes.
  • Forecast the next values.

Uses & Applications

  • A shop can estimate next week’s sales.
  • A power company can predict electricity use.
  • A weather station can forecast a simple time pattern.
In short

ARIMA forecasts using time-ordered data.

Try it yourself

Guess what the next numbers might be

Look at the changes between past numbers. Use their average change to guess the next few values.

Your turn

Change one setting at a time. Reset example puts everything back.

Forecast a differenced series

Step 1
Why this happens

Look closer at the numbers
Numbers used in this example