One thing measured over time — which analyses fit this data | MCP Analytics

Data shape

One thing measured over time

One row per customer is a different problem from one row per customer per month. Shape decides which methods can apply to your file at all.

How we actually do it

Shape is detected from your file. Column types, repeat keys and date columns decide whether you have a cross-section, a panel or a duration.
The wrong shape is refused, not fudged. If your data can't support the analysis you picked, you get told which analysis it can support.
Repeated measurements are respected. Multiple rows per subject are modelled as such instead of being averaged into a single misleading number.

See it on real data

Anomaly Detection — Outlier Finder — sample report Open full report →

That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.

One thing measured over time

Every analysis classified under this data shape.

Anomaly Detection — Outlier Finder

Which rows don't belong?

One thing measured over time

Changepoint Detection

When did my metric shift?

One thing measured over time

Control Chart — Is Your Process In Control?

Is my process in control?

One thing measured over time

Event Impact — Did the Change Move the Metric?

Did the change move the metric?

One thing measured over time

Forecast Accuracy Backtest

How good are my forecasts actually? Rolling-origin backtest with MAPE, MASE, and bias diagnostics against naive baselines.

One thing measured over time

Time Series Forecast

Where is this metric heading?

One thing measured over time

Interrupted Time Series

Did the intervention shift the level or the slope?

One thing measured over time

Media Mix Model — Lite

Which marketing channels actually drive sales?

One thing measured over timeMarketing & Growth

Price Elasticity of Demand

How price-sensitive is my demand?

One thing measured over time

Seasonality Decomposition

Is there a seasonal pattern, and how big is it?

One thing measured over time

Trend Test — Is It Really Rising?

Is there a real monotonic trend or just noise?

One thing measured over time

Volatility & Value-at-Risk

How risky is this series? Rolling volatility, drawdowns, and simple historical VaR.

One thing measured over timeFinance & Banking

Other data shapes

One row per person or thingOne row per person or thing Rows split into groupsRows split into groups Orders, baskets or eventsOrders, baskets or events Many subjects tracked over timeMany subjects tracked over time How long until something happenedHow long until something happened Groups inside groupsGroups inside groups Choices between optionsChoices between options Before and after, same subjectBefore and after, same subject

← Back to the full library