NEWS
compIndexBuilder 2.1.0 (2026-09-13)
Data-format and missing-data update
- Added automatic recognition of wide indicator-year headers such as
IN1-2019,
IN1-2020, IN2-2019, and IN2-2020.
- Added automatic reshaping of that wide layout into panel form with one time
column (
Year) and one column per indicator (IN1, IN2, ...), preserving
the distinction between indicators and years.
- Added a selectable data-layout mode: Auto-detect, Standard/already tidy, or
Force indicator-year wide format.
- Added configurable text missing-value codes. Common codes such as
#N/A,
N/A, NA, .., ..., and NULL can now be standardised to NA before
numeric conversion.
- Added an explicit zero-as-missing option. Numeric
0 / 0.00 is preserved
by default because zero may be a valid observation, and is converted to
missing only when the user opts in.
- Added an import-guidance panel showing whether indicator-year columns were
detected/reshaped, which years and indicators were recognised, and how many
missing codes or zero values were converted.
- Preserved meaningful source headers instead of converting punctuation in
names such as
IN1-2019 before layout detection.
- Clarified the mixed-direction workflow: indicators for which high values are
undesirable can be set once to "Lower is better" after reshaping.
compIndexBuilder 2.0.0 (2026-08-19)
Major update
- Added workbook-wide multi-sheet Excel support.
- Added an active-sheet selector that lists all sheets in an uploaded workbook.
- Added controls to refresh the workbook sheet list and reload the active sheet.
- Added per-sheet CSV downloads and ZIP export of all workbook sheets.
- Unified CSV and Excel data-loading logic and removed duplicated server paths.
- Improved missing-data handling so missing indicators are not silently treated as zero.
- Added median, interpolation, and missForest-based imputation options.
- Added min-max and z-score normalisation and mixed indicator directions.
- Improved entity-level rankings for panel data and weight-impact comparisons.
- Improved single- and multi-entity time-series forecasting.
- Corrected time-period filtering in entity comparisons.
- Expanded pillar/sub-index construction with equal, custom, correlation-based,
and PCA-based weighting.
- Added diagnostic outputs for Cronbach's alpha, coefficient of variation, PCA,
sensitivity analysis, correlation heatmaps, and Sankey diagrams.
- Added processed-data export.