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Running interrupted time series analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: did the intervention shift the level or the slope? Map a date column and a numeric series, tell it when the intervention happened (or let it assume the series midpoint, clearly flagged), and get a segmented regression: the immediate jump in the series at the break (level change) and the bend in the trend (slope change), each with a 95% confidence interval and p-value, plus the pre-intervention trend projected forward as a counterfactual and the gap between actual and counterfactual at the end of the series, in units and percent. A lag-1 residual autocorrelation check warns when the classical p-values are anti-conservative.
Interactive line visualization
Interactive table visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Measure whether a policy, price change, or product launch shifted a metric's level or trend
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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