Data Manipulation
Data Manipulation refers to the process of transforming and modifying data to make it more useful for analysis. This process involves various operations such as filtering, sorting, aggregating, merging, and joining data sets. Data Manipulation is a crucial step in the Data Science workflow as it helps to clean and prepare data for analysis. It involves identifying and handling missing values, dealing with outliers, and transforming data into a suitable format for analysis. Data Manipulation is often performed using programming languages such as Python and R, and tools such as SQL and Excel. It is an iterative process that requires careful consideration of the data and the analysis goals.
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