Time Series with Rolling Average Overlay

A time series plot that displays raw data points alongside a smoothed rolling average (moving average) line. The raw data shows actual observations while the rolling average reveals underlying trends by reducing noise and short-term fluctuations. This dual-layer visualization is essential for trend identification, making patterns visible that might be obscured by day-to-day volatility.

Implementations

• Time Series with Rolling Average Overlay in Altair (Python)
• Time Series with Rolling Average Overlay in Bokeh (Python)
• Time Series with Rolling Average Overlay in lets-plot (Python)
• Time Series with Rolling Average Overlay in Matplotlib (Python)
• Time Series with Rolling Average Overlay in Plotly (Python)
• Time Series with Rolling Average Overlay in plotnine (Python)
• Time Series with Rolling Average Overlay in Pygal (Python)
• Time Series with Rolling Average Overlay in Seaborn (Python)