Ravi Parikh — Apr 14, 2014 — Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look at 3 of the most common ways in which visualizations can be misleading. Continue Reading
Hahah, good one.
You can also use the wrong chart type which leads the user to a different kind of analysis altogether, and using % instead of the actual values. I had written about them here - http://www.fusioncharts.com/best-practices/how-to-report-poor-performance/
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