Data Journalism
Data profiling is the process of analyzing and assessing the quality, structure, and content of data within a dataset to understand its characteristics and identify any issues that may affect data quality. This practice is essential for ensuring that the data is accurate, complete, and suitable for its intended use, allowing for informed decision-making and effective data cleaning. By uncovering patterns and anomalies in the data, profiling helps in documenting the cleaning process, employing appropriate data cleaning tools and techniques, and addressing common data quality issues.
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