Numerical Values
Numerical values are quantitative data that can be measured and expressed numerically. In data science, numerical values are used to represent various types of data such as continuous, discrete, and categorical data. Numerical values are essential in data analysis and machine learning algorithms as they provide a way to quantify and compare different variables. They can be used to calculate descriptive statistics such as mean, median, and standard deviation, and can also be used in predictive modeling to make accurate predictions. In addition, numerical values can be visualized using various techniques such as histograms, scatter plots, and box plots to gain insights into the data. Overall, numerical values are a fundamental concept in data science and are used extensively in various applications.
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