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.
Regression trees are a very interesting data analysis technique commonly used in tasks related to poststratification, forecasting, and segmentation.
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?
Surveys often use questions where respondents assess different elements on the same scale.
When analysing data on migration, transport, international trade, or traffic on a website, you are often faced with the problem of visualising the flow between the analysed units.
Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.
The dashboard is a form of reporting, which allows the analyst to convey information in a concise way.
Correspondence analysis is one of the most convenient and popular exploratory techniques in data analysis.
Frequency, group structure, or percentage share analysis is one of the first tasks of an analyst.
Hierarchical data can be presented using various visualisations. Today’s article will focus on the hierarchical graph.
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