Description: Numerical data are quantifiable representations that can be used in mathematical calculations and statistical analysis. These data are characterized by their ability to be measured and expressed in numerical form, allowing for arithmetic operations and comparisons. In the field of data visualization, numerical data are fundamental, as they enable the creation of graphs and tables that facilitate the interpretation of information. In the general context of computing, numerical data are essential for processing instructions and executing complex calculations. In the world of Big Data, numerical data are crucial for analyzing large volumes of information, allowing organizations to extract valuable insights. Additionally, numerical data can be classified into different types, such as integers, floats, and decimals, each with its own characteristics and applications. In the ETL (Extract, Transform, Load) process, numerical data play a vital role, as they are transformed and loaded into storage systems for subsequent analysis and use in decision-making.
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