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- Examples of misleading data visualization include12:
- Truncated Y-Axis: Artificially shortening the Y-axis scale to exaggerate changes in data.
- Cherry-Picking Data: Omitting certain sources or information to show a cleaner or more predictable set of results.
- Dualing Data: Presenting two different data sets on the same chart without proper context.
- Using The Wrong Chart Type: Choosing a chart type that distorts the data.
- Confusing Correlation with Causation: Incorrectly assuming that correlation implies causation.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.5 Examples Of Misleading Data Visualization
dotnetreport.com/blogs/misleading-data-visualization/Cherry picking is one of the many misleading data visualization examples known. This data visualization form omits certain sources or pieces of information. The purpose is to show a cleaner or more predictable set of results and extract a nonexistent trend or pattern. It is dishonest and not objective.wpdatatables.com/misleading-data-visualization-ex… - People also ask
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