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?
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.
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.
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.
When creating dashboards, reports, or infographics, you often use other elements besides charts and tables. Individual numerical values are often presented as text (with a...
In this post, we continue to discuss the visualisation of nested hierarchical data. In my previous blog, I showed how hierarchical data can be presented in a two-dimensional space...
In the previous PS blog “Trees that grow out of tables”, Janusz Wachnicki described how a good understanding of the humble crosstab can help us utilise classification trees more...