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Some alternative methods to the Gauge chart for analyzing complex data distributions include Histograms, Box Plots, Scatter Plots, and Heat Maps. Histograms are useful for visualizing the distribution of data over a continuous interval. Box Plots provide a summary of the data distribution including the median, quartiles, and potential outliers. Scatter Plots are great for visualizing the relationship between two variables. Heat Maps can be used to represent complex data with variations in color in two dimensions.
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In our implementation of the Gauge chart, you can define categories and view the gauge for each one. The "Sum of Value" display is used to compare a category's performance relative to others, while the "Goal" is used to compare performance against a specific target. In our template, you can also give a custom name to each gauge section and the percentage of the gauge said section should include.
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Use ten dynamic and customizable charts. They are grouped into four main categories: Progress, Timeline, Distribution, and Statistical charts. Each on...
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