Do you know the Top 7 Myths That Lead to Really Bad Graphs?

According to the tech brief, what is the fundamental goal when designing a data visualization chart?

To create the most visually appealing chart.

To find the one and only correct way to visualize the data.

To effectively communicate a specific insight or answer a particular question about the data.

To make the chart as detailed as possible to show all aspects of the data.

Why does the author argue that it's impossible to create completely unbiased, objective charts?

Because chart creators always have personal biases.

Because it's challenging to select the right colors for a chart.

Because every chart design inherently highlights specific insights about the data.

Because audiences prefer charts that are biased in favor of certain data points.

How can you determine which chart design is better when there are competing options, according to the tech brief?

By conducting experiments with representative audience members.

By asking the chart creator for their personal opinion.

By choosing the one that looks the most visually appealing.

By selecting the design with the most data points.

In the context of data visualization, why might using a single chart to communicate multiple insights be problematic?

Because it looks cluttered and unattractive.

Because it confuses the audience with too much information.

Because it's more expensive to create multiple charts.

Because audiences prefer charts with many insights.

According to the tech brief, what is the risk of not having a minimum level of skill in data visualization?

Creating charts that are too detailed.

Creating charts that are visually unappealing.

Creating charts that lead to bad decisions or misrepresent reality.

Creating charts that are overly biased.

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