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.
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?
SNA or network as an analytical object
Today, we will look into Social Network Analysis (SNA), or Social Relation Analysis.
When is a value ‘good’ or ‘bad’? About thresholds and alerts in dashboards
The dashboard is a form of reporting, which allows the analyst to convey information in a concise way.
Tables for multiple questions measured using the same scale
Surveys often use questions where respondents assess different elements on the same scale.
Sankey diagram
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.
Word Cloud: An extraordinary visualisation from an ordinary table
Frequency, group structure, or percentage share analysis is one of the first tasks of an analyst.
Hierarchical graph
Hierarchical data can be presented using various visualisations. Today’s article will focus on the hierarchical graph.
Pointing the way with arrows
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...
Visualising decision trees: The classic refurbished
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...
Maps that grow out of trees: Data visualisation as an artform
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...