Contingency Table Analysis

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• Categorical Variables: In data science, categorical variables are variables that take on a limited, and usually fixed, number of possible values. These values are typically used to label or group data, and can be either nominal or ordinal. Nominal categorical var ... Read More >>
• Unbounded Data: Unbounded data refers to data that has no predetermined structure, size, or format, and is generated at a high velocity. This type of data is typically found in big data applications, where it is collected from various sources such as socia ... Read More >>
• Thermal Mass: Thermal mass refers to the ability of a material to absorb, store, and release heat energy. In the context of data science, thermal mass is often used in building design and energy efficiency analysis. By incorporating materials with high t ... Read More >>