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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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21#
發(fā)表于 2025-3-25 07:22:15 | 只看該作者
22#
發(fā)表于 2025-3-25 10:52:28 | 只看該作者
Proportionstive importance of the categories while also bringing the reader’s attention to each category’s portion of the total. We present different tools for visualizing proportions; these include . charts, ., ., ., ., and ..
23#
發(fā)表于 2025-3-25 14:24:32 | 只看該作者
Groupsroup by ., or to visualize the overall frequency distribution via .. The chapter also describes how to combine the above plots in various ways, for instance by overlapping strip plots with box plots and violin plots with box plots.
24#
發(fā)表于 2025-3-25 17:19:20 | 只看該作者
Bivariate Datathe focus of this chapter. Representing bivariate data by scatter plots plays a major role in exploratory data analysis, particularly for (1) qualitatively assessing the correlation between variables (or the lack of it) and (2) visualizing clusters. The chapter shows methods and applications.
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發(fā)表于 2025-3-25 20:59:39 | 只看該作者
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發(fā)表于 2025-3-26 03:04:05 | 只看該作者
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發(fā)表于 2025-3-26 06:58:40 | 只看該作者
28#
發(fā)表于 2025-3-26 11:37:33 | 只看該作者
PERT Diagramsetween the activities, whereas Gantt charts do not. There are two main types of PERT diagrams, both of which are treated in this chapter: those where the activities are represented as nodes of the graph (., AoN) and those in which they are arcs of the graph (., AoA).
29#
發(fā)表于 2025-3-26 16:33:08 | 只看該作者
30#
發(fā)表于 2025-3-26 20:00:05 | 只看該作者
Proportionstitioned into a set of classes, for instance gender, nationality, age group, etc. The classes are usually expressed as a categorical variable; the proportion values are expressed as continuous variables with values in [0, 1] or, equivalently, as percentages. The general goal is to emphasize the rela
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