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Data processing is the collection, transformation, and organization of raw data into meaningful information. It is a crucial step in data analysis, ensuring that the data is accurate, structured, and ready for interpretation. The process typically involves several stages: Data Collection – Gathering raw data from various sources, such as databases, sensors, surveys, or online sources.Data Cleaning – Removing inconsistencies, errors, missing values, and duplicates to improve data quality.Data Transformation – Converting data into a suitable format, including normalization, aggregation, or encoding.Data Integration – Combining data from multiple sources into a single dataset for analysis.Data Storage – Saving processed data in databases, data warehouses, or cloud storage for easy access.Data Analysis – Applying statistical, machine learning, or AI techniques to extract insights.Data Visualization – Presenting findings using charts, graphs, and dashboards for better decision-making.
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