Which criterion can be used to determine the best chart selection when visualizing data?

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Choosing a chart depends on how many variables you plan to display. Visualization methods are built around the idea that different charts handle different numbers of variables effectively. If you’re showing only one variable, a simple bar or line chart can reveal trends, distributions, or totals clearly without adding extra complexity. When two variables are involved, you’ll want a chart that highlights the relationship between them—scatter plots are a classic choice for showing how one variable relates to another, while a line or bar chart with two series can compare values across categories or time. If there are many variables, you need a representation that can accommodate multiple dimensions without becoming cluttered, such as a heatmap or a chart designed for multiple series. The other factors—time scale, color preferences, and data source reliability—affect readability and trust but don’t determine the chart type as directly as the number of variables you intend to show.