multivariate analysis
Articles
Trees that grow from tables
When stepping outside the domain of distributive and descriptive statistics for individual variable…
Reduction of multidimensionality
Is a simple two-dimensional coordinate system always enough for us?
Perceptual maps: choosing the correct normalization method
In this article you can find perceptual maps prepared using different normalization methods.
Correspondence analysis: solution quality assessment
Correspondence analysis is a technique often thought of as an alternative to a crosstab (contingenc…
Correspondence analysis: calculating distances in a table
Correspondence analysis is one of the most convenient and popular exploratory techniques in data an…
SNA or network as an analytical object
Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.
Shopping for a mountain trip: analysis of multiple response sets
Multiple response sets often form the basis for further detailed questions about opinions on select…
How to boost a decision tree algorithm
The decision tree is a popular and effective algorithm used primarily in classification work, but i…
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 …
Car value: variable selection for linear modelling
The Automatic linear modeling procedure is intended to streamline the work of analysts who use regr…
Multidimensional scaling in brand positioning
Positioning a product in the context of the competition, or the identification of a product’s featu…
Consumer shopping value analysis using regression trees. Part 2
Regression trees are a very interesting data analysis technique commonly used in tasks related to p…
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…
Neural networks
Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the …
General linear models and generalised linear models - differences and similarities
In data analysis, the use of general linear models is common due to their simplicity and ease of in…
Meta-analysis as an analytical tool
In today's scientific and research world, analysts are often confronted with the problem of analysi…