Aggregation
Aggregation is a process in data science that involves the collection, gathering, and summarization of data from multiple sources. It is a crucial step in data analysis as it helps in understanding the overall trends and patterns in the data. Aggregation can be performed on both structured and unstructured data, and it involves the use of various statistical and mathematical techniques to derive meaningful insights from the data. The process of aggregation can be used to identify outliers, detect trends, and make predictions about future events. In addition, aggregation can be used to create summary statistics, such as mean, median, and mode, which can be used to describe the central tendency of the data. Overall, aggregation is an important tool in data science that helps in making sense of large and complex datasets.
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