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Understanding and Utilizing Trendlines in Bold BI for Data Visualization
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Trendlines in Bold BI are essential tools in data visualization that help to illustrate the general direction or pattern of a dataset. In Bold BI, several types of trendlines can be utilized, each serving different purposes based on the nature of the data. Below are the various types of trendlines supported in Bold BI charts:
Types of Trendlines in Bold BI
Linear Trendline
A linear trendline is a best-fit straight line that is particularly useful for simpler datasets. It helps to identify a consistent trend over time.
Exponential Trendline
An exponential trendline is represented by a curved line and is most effective when data values increase or decrease at increasingly higher rates. It is important to note that an exponential trendline cannot be created if the dataset contains zero or negative values.
Logarithmic Trendline
A logarithmic trendline is a best-fit curved line that is beneficial when the rate of change in the data increases or decreases rapidly and then levels off. This type of trendline can accommodate both negative and positive values.
Polynomial Trendline
A polynomial trendline is a curved line that is used when the data exhibits fluctuations. It is suitable for datasets that do not follow a linear pattern.
Power Trendline
A power trendline is a curved line that is best suited for datasets where measurements increase at a specific rate. This type of trendline is useful for identifying relationships in data that follow a power law.
Configure Trendline in Bold BI
Trendlines help identify the general pattern or overall direction of the data in the chart widget. Multiple trendlines can be added to Cartesian charts, with the exception of bar-type series (Line, Column, Area, Spline) and stacked chart types. You have the ability to add, edit, and delete trendlines.
Refer to the following help documentation link to configure the trendline in the Bold BI chart widgets:
By following this guidance, you can effectively configure a trendline in Bold BI, enhancing your data visualization capabilities.
Example
An analysis of the dataset containing monthly sales figures for a year through the use of a chart and linear trendline can provide valuable insights into the overall trend of sales growth, decline, or stagnation. This information can assist businesses in making strategic decisions, including potential adjustments to marketing strategies.
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