Statistics

Understand the patterns in your organization’s data.

Summarize a table, compare groups or explore relationships and trends. Start with fictional project data or import your own table.

Data Overview

Summarize measures, categories, distributions and missing values.

Example result · fictional data

Calculated from the app’s built-in example with 24 observations. Your results depend on your data and analysis settings.

Explore a pair of measures with a scatterplot and Pearson or Spearman correlation.

Example result · fictional data

Calculated from the app’s built-in example with 24 observations. Your results depend on your data and analysis settings.

Find an analysis

What does this dataset show?

Summarize measures, categories, distributions and missing values.

Which measures move together?

Explore a pair of measures with a scatterplot and Pearson or Spearman correlation.

Which factors help explain this result?

Fit an outcome to numeric and categorical factors, inspect uncertainty and model diagnostics.

How do these groups differ?

Compare a numeric outcome across groups, or match paired observations by ID.

How are these categories connected?

Examine category counts, proportions and associations in a cross-tabulation.

How is this measure changing over time?

Plot dated observations, aggregate periods and inspect a linear time trend.

How much data do you need?

Plan precision for a mean or proportion, or power for a difference between two groups.