Titlebook: Data and Process Visualisation for Graphic Communication; A Hands-on Approach Francesco Bianconi Book 2024 The Editor(s) (if applicable) a

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Groupscal or numerical discrete variable (the group variable). There are a variety of choices, and the selection primarily depends on the degree of data aggregation desired for the visualization. We describe how to show every data point in each group through . or ., to display summary statistics of each g

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Bivariate Data continuous) variables. The variables can either represent raw features (e.g., height, weight, blood pressure) or be the result of a transformation from originally multivariate data via some dimensionality reduction procedure. The main tools for representing bivariate data are the ., which are also

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Trivariate Data(., ., .) where the third variable . is typically numeric and continuous, whereas . and . can be either numerical (discrete or continuous) or categorical. The solution is to plot the data on the . plane and delegate the encoding of . to marker size and/or color. In this context there are two scenari

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Geospatial Data Earth’ s surface. Geospatial data are in a way equivalent to trivariate data, except they carry information specific to locations on the Earth’s surface-typically country, region, province, and/or other boundaries-but in some cases also cities, rivers, and other such landmarks. The chapter introduc

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Timelinesstand the order and duration of a series of events occurring (or predicted to occur) in a stretch of time delimited by a start and an end point. The events are usually represented as bullets on a straight line (vertical or horizontal), and each bullet is accompanied by a text label describing the co

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Gantt Charts), Gantt charts are essentially bar charts in which the bars represent activities (tasks) in a process. In the typical layout the bars are plotted horizontally with the .-axis representing time, while the left of the chart reports the names of the tasks. The initial and final positions of each bar r