The Dashboard Builder has more than 50 built in charts and widget items for you to use. You can easily pick the items and insert them into your dashboards.
Professional 
Enterprise ReportR DistributR 
Dashboard Builder is an extra feature with an additional fee.
Please contact [email protected].
In this article, we will focus on the following scatter and bubble plot widgets:
1. Scatter plot
A scatter plot is a type of data visualization that uses dots to represent the values obtained for two different variables. It shows the relationship between these two variables.
For a scatter plot two different variables (categories) are located on the X and Y axis. As such the data point is plotted horizontally and vertically according to its value for each variable.
If the data points are closely grouped or make a clear line or curve - their relationship between two compared variables is strong. Otherwise, if the points are spread out it shows a weaker relationship.
Use cases:
- Identifying correlations between variables
- Detecting outliers
- Analyzing trends
Common data to use in an assessment:
- Test scores vs. study hours
- Sales figures vs. marketing spend
- Employee performance vs. training hours
2. Scatter group
A scatter group plot extends a standard scatter plot by categorizing data points into groups, each group represented by a different color or symbol.
Use cases:
- Comparing multiple categories simultaneously
- Visualizing the distribution of multiple groups
- Highlighting differences between categories
Common data to use in an assessment:
- Departmental performance comparisons
- Customer satisfaction scores across different regions
- Survey responses grouped by age or gender
3. Bubble plot
A bubble plot is a variation of a scatter plot where a third variable is represented by the size of the bubbles, providing three dimensions of data in a two-dimensional space.
Use cases:
- Visualizing the relationship between three variables
- Highlighting data points with different magnitudes
- Identifying patterns and correlations
Common data to use in an assessment:
- Employee performance (x-axis), job satisfaction (y-axis), and tenure (bubble size)
4. Colored bubble plot
A colored bubble plot further enhances a bubble plot by adding a fourth variable represented by the color of the bubbles, allowing for a more complex data analysis.
Use cases:
- Multi-variable comparisons
- Detailed segmentation analysis
- Visualizing high-dimensional data
Common data to use in an assessment:
- Survey results where x-axis is satisfaction, y-axis is likelihood to recommend, bubble size is number of responses, and color indicates department
What's next?
- Dashboard Builder: datasets explained: Check detailed explanations on the datasets available for your to connect to your
- Getting started with the basic widgets on your dashboard: Widget items: general.
- Check out these widgets to turn your dashboard data into meaningful insights:
Don't want to build it yourself? Contact our professional services team
