Numerical Data

Numerical data refers to data that consists of numerical values, such as integers or real numbers. In data science, numerical data is often used for statistical analysis and machine learning algorithms. Numerical data can be continuous or discrete. Continuous numerical data can take on any value within a range, while discrete numerical data can only take on specific values. Numerical data can be represented in various formats, such as tables, graphs, or charts. It can also be preprocessed and transformed using techniques such as normalization, scaling, and feature engineering. Numerical data is commonly used in fields such as finance, healthcare, and social sciences to make data-driven decisions and predictions.
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