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4mon
isixsigma on MSNVariable vs. Attribute Data: What’s the Difference?Variable data is any kind of information that is represented and recorded as measurements. The term is often used when ...
true data. By studying all the variables and the possible outcomes, decisions can be made about business activities and investing decisions, Sensitivity analysis can be used to: Sensitivity ...
8mon
isixsigma on MSNTips for Interpreting Discrete Data: Understanding Category VariablesIt Requires More Data When Used in ... variables, (e.g. color, defect type, or pass/fall) or ordered rating scales (like ...
Discrete variables have specific values. Continuous variables can have any values within a continuous range. Random variables are often used in econometric or regression analysis to determine ...
So my interest was piqued when I learned in a conversation with Rebecca Hinds, head of The Work Innovation Lab at Asana, that her team used Advanced Data Analysis, previously called Code ...
My aim with this example is to leave you with an idea of how PCA can be used to explore data sets in which thousands of variables have been measured. Figure 1: Principal component analysis (PCA ...
Principal component analysis ... variables (Fig. 3d). If the variance is dramatically different across variables (e.g., expression across patients in the scaled data in Fig. 3c), or if the ...
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