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Running seasonality decomposition analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: find out whether a metric has a real seasonal pattern and how big it is. Maps a date column and a numeric column, infers the data's cadence (daily, weekly, monthly) from the date spacing, and runs an STL decomposition to split the series into trend, seasonal, and noise. Reports a 0-to-1 seasonal strength score with a plain-language band, names the peak and trough seasons in calendar terms with their percentage above and below trend, gives the trend direction over the window, and states honestly how much of the variation is just noise.
Interactive line visualization
Interactive bar visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Check whether sales, traffic, or demand has a real seasonal cycle before planning around one
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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