The samples you see on this page were obtained by connecting a sample data source to templates from the Correlation Dashboard solution, to demonstrate some of the solution's capabilities and the results you can achieve.
These documents are vector graphic documents, created in ConceptDraw PRO using ConceptDraw Live Objects technology. They are available for reviewing and modifying from the ConceptDraw Solution Park. The Correlation Dashboard Solution is available for all ConceptDraw PRO v9.5 users.
You can download sample data sources for all dashboards to see how changes made to data effect dashboard appearance.
Example 1: Correlation Dashboard — Café Dashboard
This sample was created in ConceptDraw PRO using the Correlation Dashboard solution, and demonstrates the solution's capabilities and the results you can achieve using this solution. All the charts on this page change automatically when the data source changes.
This café performance dashboard contains four scatter plots. The scatter plots show how air temperature affects the café’s business metrics: people amount, beverage consumption and sale, ice cream consumption.
ConceptDraw PRO v9 and the Correlation Dashboard solution found in the Visual Dashboard Area of ConceptDraw Solution Park are all you need to get started. Make sure both are installed on your computer.
How to install
Download and install ConceptDraw Solution Browser and ConceptDraw PRO. Next install the “Correlation Dashboard” solution using Solution Browser.
Any ConceptDraw Live Object Library consists of Live Objects, the special graphic objects that can change their appearance depending on external data. The Library contains the set of Live Objects designed to visualize a predictive relationship between two numerical parameters of items from one or few series, using Scatter Plot Charts.
Why use it?
Use these Live Objects to build and display the Correlation Charts according to your quantitative data. Include these charts into corporate and team dashboards to shows whether the relationship between two numerical parameters of items follows or not the normally expected pattern.
«A correlation comparison shows whether the relationship between two variables follows — or fails to follow — the pattern you would normally expect <...>
Whenever your message includes words like related to, increases with, decreases with, changes with, varies with, or the converse such as doesn’t increase with, it’s an instant clue that you’re showing a correlation comparison»
Gene Zelazny Say It With Charts: The Executive's Guide to Visual Communication 4th Edition McGraw-Hill | 2001. P. 22.
Here is some advice on how to select the chart type for your Corellation Comparison: