Data Filtering
Data filtering is the process of selecting and retrieving a subset of data from a larger dataset based on specific criteria. This technique is commonly used in data science to extract relevant information from large and complex datasets. Data filtering can be performed using various methods such as querying a database, applying filters to a spreadsheet, or using programming languages like Python or R. The criteria used for filtering can be based on a range of factors such as date, time, location, category, or any other relevant attribute. Data filtering is an essential step in data preprocessing and analysis as it helps to reduce the size of the dataset, remove irrelevant data, and focus on the most important information.
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