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compIndexBuilder 2.1.0
- 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
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.