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In Analytics, there are several options for visualizations. Determining what visualizations to use, depends on what story you want your the data to tell. Ask yourself, what What are you trying to show?Image Removed Below are different groups of data and the visualization options available to tell the best story.
Visualization Best Practices
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Before building your visualization, let's take a look at some best practices, based on the story you want to tell.
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Column and Bar Charts
Are used to show a comparison among different items
- Use consistent colors throughout the chart, and avoid adding extra colors unnecessarily
- The measure axis should typically start at 0 to avoid misleading viewers
- Use horizontal labels whenever possible to ensure that they are readable
- Consider using a bar chart over a column chart, when dimension axis labels are long
- Choose a bar chart over a column chart when displaying negative values
- Choose a column chart when comparing values over time
Line and Area Charts
Are best for depicting trends or progress over time
- Utilize line charts for comparing measures or dimensions to each other
- Utilize area charts for showing cumulative values
- Choose stacked area charts for visualizing how different components contribute to the overall trend (avoid stacking line charts, as this is easy to misinterpret)
- Avoid plotting too many lines or categories at once (5 or fewer is best)
- When possible, it’s best to start the y-axis at 0 to ensure no misinterpretation of the data
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Customizing Visualizations
Once you have decided on the story you want to data tell, editing the visualization is done in a few steps.
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Changes you make to a visualization are reflected immediately. There is no save button. However, this is your chance to explore the many options available. |
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Next Section: Saving the Visualization as a Dashboard or Look
Now that everything looks good, let's save your visualization and add it to a Dashboard.
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