What is data manipulation?

Data manipulation encompasses a broad range of techniques for transforming, organizing, and restructuring data to make it more useful for analysis, reporting, or other specific purposes. Common operations include data cleaning (correcting errors and inconsistencies), data transformation (converting data types or scaling values), data aggregation (summarizing data), data filtering (selecting specific subsets of data), and data joining (combining data from multiple sources). It is commonly used in data science, business intelligence, and software development to prepare data for analysis, improve data quality, and create meaningful insights.