Data Cleaning
Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in data. It involves a series of techniques to clean and transform raw data into a format that is suitable for analysis. Data cleaning is an important step in the data preparation process as it ensures that the data is accurate, complete, and consistent. The process of data cleaning includes identifying missing values, removing duplicates, correcting spelling errors, standardizing data formats, and dealing with outliers. Data cleaning is a critical step in data analysis as it can significantly impact the results of the analysis. Poor quality data can lead to incorrect conclusions and decisions. Therefore, data cleaning is essential to ensure that the data is reliable and trustworthy.
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