Using Pareto analyses
Video tutorial
A Pareto analysis represents Pareto’s 80-20 theory with available data. Pareto’s theory states that:
For example:
You can use this theory to explore the relationship between a numerical and a categorical variable. For example, you can analyze the accrued benefit of customers (continuous numerical variable) through the grouping of customer’s accrued benefit into deciles (categorical variable).
How to create a Pareto analysis
Figure 4-37  
Figure 4-38  
Figure 4-39  
For example, select a numeric field as a measure, and a quantile rank of the same field as an attribute. This quantile groups its values into n equal groups. The analysis displays a Pareto curve. You can see if the Pareto analysis satisfies Pareto’s theory by looking at the growth curve. The graph shows cumulative percentages.
Table shows, sorted by the amount, the number of records, both amount and percentages, cumulative and cumulative percentages.
Double-clicking Count (record number), the records appear in Scratchpad. By choosing the Cumulative Count value, you can display the record and all previous records.
Related topics
Using BIRT Analytics basic tools
Understanding the sample data model
Video tutorial
Creating a Pareto analysis

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