In the previous articles of this series, we introduced readers to the theories and design guidelines of data visualizations, which are the foundation of building engaging and compelling data visualizations. We also discussed how to present data effectively in a table format. In this article, we will shift the focus to the practice of data visualization, specifically charting. Charting is a common type of data visualization by which data are represented in the form of a graph or diagram. We will discuss individual charts based on a framework for purpose-oriented chart selection. In addition to the characteristics of different charts, we will include online tutorials demonstrating the steps of using Microsoft Excel to create the charts.
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