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Gain valuable insights into consumer pricing perception with Price Sensitivity Meter (PSM) Analysis. Explore how this method evaluates the sensitivity of consumers to price changes, guiding strategic pricing decisions and maximizing profitability for your business.
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Correspondence analysis is a statistical technique used to analyze the associations between categorical variables in large datasets. It aims to uncover patterns and relationships between the categories of different variables by visualizing them in a low-dimensional space, typically a two-dimensional plot.
This method is particularly useful when dealing with categorical data, such as survey responses, where variables are not numerical but represent different categories or levels. Correspondence analysis transforms the categorical data into a graphical representation, allowing for easier interpretation of relationships between variables.
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