Moving Average Calculator
Smooth your time series data and reveal underlying trends with ease.
Enter your data points separated by commas.
The number of data points to include in each average.
Smoothed Data Output
Data Visualization
Understanding Moving Average
The Moving Average is a simple yet powerful technique used to smooth out time series data, reducing noise and highlighting underlying trends. It works by averaging data points over a specified window size.
For example, a 3-point moving average calculates each new point as the average of the current point and the two preceding points. This helps to smooth out short-term fluctuations, making it easier to see longer-term patterns in the data.
To use this calculator, simply input your time series data as comma-separated values and choose a window size. The tool will then calculate and display the smoothed data, along with an interactive chart for visualization. Use a smaller window size for less smoothing and a larger window size for more significant smoothing.