Browsing by Author "MUHAMMAD SHAHARYAR ZAFAR"

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    NOVEL APPROACH TO ANALYZE EXCEL MACRO DATA
    (UMT, Lahore, 2025) MUHAMMAD SHAHARYAR ZAFAR
    Massive development in storage architecture over the last decade has assisted users by facilitating them to store heterogeneous data on their system. Extracting the insights from data has been more complex with this progress. In this study, a novel approach to analyze the excel macro data is presented. GCSE results datasets as a sample excel macro data is used to evaluate the approach. Web application is designed and developed that offers visual analytics and prediction on this excel macro-based GCSE results. Data wrangling along with ETL is applied to transform the data in a structure where it can be analyzed, since the raw data source is in excel-macro structure.