Expressions
Understand expressions in ProcessMind for rich text generation and dynamic content.
Count Cases
Displays the total number of cases in the dataset or for a specific attribute. Useful for understanding the overall workload or case volume.
Count Events
Shows the total number of events recorded in the dataset. Ideal for tracking activity occurrences or event frequency.
Count Activities
Counts the total number of activity executions across all cases. Helps analyze workload distribution and activity intensity.
Sum
Calculates the total sum of a numeric attribute (e.g., total duration, total cost). Useful for cumulative insights.
Avg (Average)
Computes the average value of a numeric attribute (e.g., average activity duration). Highlights typical performance levels.
Count Distinct
Counts the number of unique values for a selected attribute (e.g., unique users, systems, or resources). Useful for diversity analysis.
Min (Minimum)
Shows the smallest value of a numeric attribute (e.g., shortest activity time). Benchmarks best-case scenarios.
Max (Maximum)
Displays the largest value of a numeric attribute (e.g., longest activity time). Highlights bottlenecks or extreme cases.
Median
Returns the middle value of a numeric attribute, reducing the impact of outliers compared to averages.
Modus (Mode)
Identifies the most frequently occurring value in a dataset. Useful for spotting dominant behaviors or attributes.
Measures the total elapsed time from case start to case end.
Measures the time spent actively processing cases or activities, excluding idle times.
Ratio Cases
Proportion of cases meeting a specific condition relative to the total. Useful for case-level comparisons.
Ratio Events
Proportion of events meeting a condition relative to the total. Useful for analyzing event distributions.
These metrics allow users to customize charts to focus on the specific insights they need from their data.
By selecting the appropriate metric, you can tailor the process graph to focus on the specific insights most relevant to your analysis.