A Pareto chart combines columns sorted in descending order with a cumulative percentage line, making it easy to identify the most significant factors in a dataset. Based on the 80/20 principle, it highlights which few categories account for the majority of the total impact.
This sample displays a Pareto analysis of seven customer complaint categories, from parking difficulties and rude sales representatives to clothing quality issues. It features conditional column coloring that highlights items with a relative frequency below 10%, horizontal line markers at key thresholds, a crosshair for precise reading, and column labels showing each category's relative frequency percentage.
Follow the step-by-step Pareto Chart Tutorial to learn how such charts are built. See the Pareto Chart documentation for all configuration options.