Data Preparation

Data preparation is the process of cleaning, transforming, and organizing raw data into a format that is suitable for analysis. It involves several steps such as data cleaning, data integration, data transformation, and data reduction. Data cleaning involves identifying and correcting errors, inconsistencies, and 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 by selecting a subset of relevant features or samples. Data preparation is a critical step in the data analysis process, as the quality of the data can significantly impact the accuracy and reliability of the results.
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