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Running time series forecast analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis: forecast any metric from its own history. Maps a date column and a numeric column, infers the data's frequency (daily, weekly, monthly), fits a Holt-Winters exponential smoothing model with automatic seasonal and non-seasonal fallbacks, and projects forward with 95% prediction intervals. Includes a holdout backtest (MAPE/MAE) so you know how much to trust the forecast, plus a breakdown of trend and seasonal pattern.
Interactive line_with_band visualization
Interactive table visualization
Interactive bar visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Project next quarter's sales from weekly history
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data: validated R analyses, interactive reports, AI insights, and PDF export.
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