Pre-processing
Pre-processing is the initial step in data analysis where raw data is cleaned, transformed, and organized into a format that is suitable for further analysis. It involves a series of techniques such as data cleaning, data integration, data transformation, and data reduction. Data cleaning involves removing or correcting any errors, inconsistencies, or missing values in the data. Data integration involves combining data from multiple sources into a single dataset. Data transformation involves converting data into a format that is suitable for analysis, such as normalizing or scaling the data. Data reduction involves reducing the size of the dataset while preserving its important features, such as through feature selection or dimensionality reduction. Pre-processing is a critical step in data analysis as it can greatly impact the accuracy and effectiveness of subsequent analysis.
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