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Running price elasticity of demand analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileStandard-library analysis: how sensitive is demand to price? A log-log OLS regression of quantity on price estimates the price elasticity of demand from your transactional or aggregated sales rows, with a 95% confidence interval, an elastic/inelastic classification, the revenue direction the data is consistent with, and a 10-point demand curve. Optionally hold other factors constant (promo flag, season, region).
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Decide whether a planned price increase is likely to raise or lower total revenue
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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