Customizing the Tornado Chart
Moderator: Intaver Support
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- Posts: 12
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- Location: USA
Customizing the Tornado Chart
It seems that the Tornado Chart has different colors for different types of data and different calculations. Can you modify the colors? Also, which is the preferred “Sensitivity calculation algorithm”. Does it change the ranking at all?
Decision Analysis, Risk Management, Construction Risk, Project Risk Management
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- Posts: 1012
- Joined: Wed Nov 09, 2005 9:55 am
Re: Customizing the Tornado Chart
The color schemes are hardcoded and correspond with the underlying Windows theme colors. Therefore the outside frame color cannot be changed, but you can modify how the actual data is formatted using the Application Look dialog in the Tools > Resources and Settings.
RiskyProject comes with 2 sensitivity algorithms: Rank order correlation coefficient and Contribution to variance. Both are based on Spearman’s rank correlation coefficient and return the same order of results. Many people prefer the Contribution to variance as it provides a more context into the relative scale that each activity or risk is contribution to the overall variance in a particular parameter (cost, finish time, etc). If your audience is not familiar with correlation coefficients, the contribution to variance provides a more easily understandable measure. For example if your project has $2M at risk, the contribution to variance shows the % of that that can be identified with a particular activity or risk.
In the example, if there was $2M at risk, the Task 19 is contributing 34% or approximately $680K. This is much easier for project team to understand the potential impact.
RiskyProject comes with 2 sensitivity algorithms: Rank order correlation coefficient and Contribution to variance. Both are based on Spearman’s rank correlation coefficient and return the same order of results. Many people prefer the Contribution to variance as it provides a more context into the relative scale that each activity or risk is contribution to the overall variance in a particular parameter (cost, finish time, etc). If your audience is not familiar with correlation coefficients, the contribution to variance provides a more easily understandable measure. For example if your project has $2M at risk, the contribution to variance shows the % of that that can be identified with a particular activity or risk.
In the example, if there was $2M at risk, the Task 19 is contributing 34% or approximately $680K. This is much easier for project team to understand the potential impact.
Intaver Support Team
Intaver Institute Inc.
Home of Project Risk Management and Project Risk Analysis software RiskyProject
www.intaver.com
Intaver Institute Inc.
Home of Project Risk Management and Project Risk Analysis software RiskyProject
www.intaver.com