
Developed statistics utilities for race data within the MartinCU990558/Laboratorio-CVDS-DOSW-01 repository, focusing on the implementation of the CarreraParalela class and a supporting Stats helper. Leveraged Core Java, Java Streams, and Lambda Expressions to compute key metrics such as maximum, minimum, and count from race datasets. Introduced lambda-based logic for maximum value calculation and added validation to ensure the maximum is even, alongside parity checks for the dataset. Structured the codebase to facilitate downstream analytics and enhance data quality in race-data workflows. Delivered incremental, well-documented changes over the month, laying a foundation for future analytics-ready features.
2025-08 monthly summary for MartinCU990558/Laboratorio-CVDS-DOSW-01 focused on delivering statistics utilities for race data. Implemented CarreraParalela class and Stats helper to compute max, min, and count with parity checks to support downstream analytics. Introduced lambda-based max calculation and data-parity validations; groundwork for analytics-ready metrics and improved data quality for race-data workflows.
2025-08 monthly summary for MartinCU990558/Laboratorio-CVDS-DOSW-01 focused on delivering statistics utilities for race data. Implemented CarreraParalela class and Stats helper to compute max, min, and count with parity checks to support downstream analytics. Introduced lambda-based max calculation and data-parity validations; groundwork for analytics-ready metrics and improved data quality for race-data workflows.

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