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Time Series Chart

Visualize how data changes over time — spot trends, seasonality, and turning points

Time series analysis tracks how a variable changes over ordered time intervals — weeks, months, quarters, or years. By plotting the data as a connected line, you can immediately see trends (is it going up or down?), seasonality (does it repeat a yearly pattern?), and turning points (when did growth start or stop?).

This tool loads 24 months of Revenue and Costs for a sample business. Click Link Data to draw a dual-series line chart. The AI can add a moving average to smooth the noise, or a trend line to project future values.

Paste your own date + value CSV to chart your own time series.

Graph

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FAQ

What is a moving average and why use it?
A moving average smooths a time series by replacing each point with the average of the surrounding N points. This removes short-term noise and makes the underlying trend more visible. A 3-month moving average is common for monthly data.
What date formats does this tool accept?
The tool accepts YYYY-MM-DD (e.g. 2023-01-15), MM/DD/YYYY (e.g. 01/15/2023), and plain year or month strings. For best results, use ISO format: YYYY-MM-DD or YYYY-MM.
How do I compare multiple series on the same chart?
Include multiple numeric columns in your CSV (e.g. Revenue, Costs, Profit). Tell the AI which columns to plot and it will draw each as a separate colored line with a legend. Each series can have its own color.
What is a trend line and how is it calculated?
A trend line is a simple linear regression fitted to the time series: y = mt + b, where t is time. The slope m tells you the average change per time period. A positive slope = upward trend; negative = downward.

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