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.
![warning](https://surveyanyplace.s3.amazonaws.com/app/editor/reports/pdf/custom/marketing/warning_light_icon.png)
Dashboard Builder is an extra feature with an additional fee.
Please contact sales@pointerpro.com.
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: