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When two dimensions are not enough: the multidimensional scatterplot in ps imago pro

When two dimensions are not enough: the multidimensional scatterplot in ps imago pro

A scatterplot, or scatter graph, is a popular diagnostic tool for associations between quantitative variables. It is invaluable in correlation analysis for readily assessing the nature and the shape of the relationship between two variables.

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Consumer shopping value analysis using regression trees. Part 2

Consumer shopping value analysis using regression trees. Part 2

Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.

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Multidimensional scaling in brand positioning

Multidimensional scaling in brand positioning

Positioning a product in the context of the competition, or the identification of a product’s features and attributes are often key issues facing marketing, promotion, and product managers.

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Automatic linear modeling: ensemble models

Automatic linear modeling: ensemble models

Today, we will look into ensemble model methods.

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Car value: variable selection for linear modelling

Car value: variable selection for linear modelling

The Automatic linear modeling procedure is intended to streamline the work of analysts who use regression models.

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Data sourcing: pros and cons of desk research

Data sourcing: pros and cons of desk research

What is data? What is data needed for? Can data be divided according to specific criteria ? Does data only come from surveys?

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Consumer shopping value analysis using regression trees. Part 1

Consumer shopping value analysis using regression trees. Part 1

How can we estimate the potential value of consumer shopping, predict the behavior of a visitor to our website, or reduce the risk of credit losses?

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Basics of a questionnaire survey with PS QUAESTIO PRO

Basics of a questionnaire survey with PS QUAESTIO PRO

The goal of computer software is to support the user at work. The PS QUAESTIO PRO platform is no different.

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