Combine your own indicators into a documented composite index.
App Web browser
Use a browser workflow to group spreadsheet indicators into weighted domains and export scores, ranks, bands and a methodology record.
Supply Excel or CSV data with one row per area and matching area codes. The tool reports mismatched codes, non-numeric columns and missing values; review direction, weighting and coverage before interpreting results.
Method toolkit R
Build composite scores in R when you want to write and review your own analytical method.
Bring your own indicators and explicit methodological choices. The package is under development.
App / Method toolkit R, Shiny
Use a guided COINr interface to build, explore and export an index, with a replication script and uncertainty analysis.
Requires R and the documented local Shiny dependencies. Review screening, imputation, normalisation, weights and aggregation. Its sensitivity analysis explores choices within its own index-building workflow.
Define a clear question and explain why each indicator belongs. Choose a tool by the access and methods you need, then document scales, missing-data treatment, weights and sensitivity. Outputs from different tools are not guaranteed to be equivalent or compatible. An index provides evidence; it does not choose humanitarian priorities.
Method toolkit R
Inspect input data for missing values, duplicate rows, possible outliers and geometry-type consistency.
Requires R. Pass a data frame or tibble to the checking function and review each flag in context; the report does not certify suitability for an index.
