Matriz de Indicadores is a desktop application built with Python and Flet that lets you define performance indicators, collect monthly numeric data, generate Pearson correlation matrices, and compare indicators against benchmark reference values — all with a clean graphical interface and local JSON persistence.Documentation Index
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Use this file to discover all available pages before exploring further.
Installation
Set up your virtual environment and install all dependencies to run the app.
Quickstart
Get up and running in minutes: clone, install, and launch the app.
User Guide
Step-by-step instructions for managing months, indicators, and data.
Correlation Matrix
Learn how to generate and interpret the Pearson correlation matrix.
What you can do
Manage time periods
Register and organize the months used as columns in your data tables.
Define indicators
Create performance indicators with codes and descriptive names.
Enter monthly data
Input numeric values for each indicator across every registered month.
Benchmarking
Compare indicator averages against reference values and see compliance metrics.
How it works
Register your months
Add the time periods (e.g., January, February) that structure your data collection.
Generate the correlation matrix
Click Matriz de correlación to compute Pearson correlation coefficients between all indicator pairs.
All data is stored locally in a
datos.json file in the project directory. No internet connection or external database is required.