page_title: Pareto chart
hierarchical_section_title: Pareto chart
caption_attribution_description: English: I created this file myself using Microsoft Excel and Microsoft PowerPoint. The data is purely hypothetical. Your chart is not a good one - especially for the categories you've depicted. The left side axis can only be whole numbers (discrete data), for how can you have a partial cause of traffic, or child care? Its actually a completely valid graph due to the fact that none of the data actually falls on a non-integer y-value. Thus, it is very difficult if not impossible to predict whether each category has a non-integer value.
context_page_description: A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the cumulative total is represented by the line. The chart is named for the Pareto principle, which, in turn, derives its name from Vilfredo Pareto, a noted Italian economist.
  The left vertical axis is the frequency of occurrence, but it can alternatively represent cost or another important unit of measure. The right vertical axis is the cumulative percentage of the total number of occurrences, total cost, or total of the particular unit of measure. Because the values are in decreasing order, the cumulative function is a concave function. To take the example below, in order to lower the amount of late arrivals by 78%, it is sufficient to solve the first three issues.
  The purpose of the Pareto chart is to highlight the most important among a set of factors. In quality control, it often represents the most common sources of defects, the highest occurring type of defect, or the most frequent reasons for customer complaints, and so on. Wilkinson
context_section_description: A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the cumulative total is represented by the line.  The chart is named for the Pareto principle, which, in turn, derives its name from Vilfredo Pareto, a noted Italian economist.
  The left vertical axis is the frequency of occurrence, but it can alternatively represent cost or another important unit of measure.  The right vertical axis is the cumulative percentage of the total number of occurrences, total cost, or total of the particular unit of measure. Because the values are in decreasing order, the cumulative function is a concave function. To take the example below, in order to lower the amount of late arrivals by 78%, it is sufficient to solve the first three issues.
  The purpose of the Pareto chart is to highlight the most important among a (typically large) set of factors. In quality control, it often represents the most common sources of defects, the highest occurring type of defect, or the most frequent reasons for customer complaints, and so on. Wilkinson (2006) 
  devised an algorithm for producing statistically based acceptance limits (similar to confidence intervals) for each bar in the Pareto chart.
  These charts can be generated by simple spreadsheet programs, specialized statistical software tools, and online quality charts generators.
  The Pareto chart is one of the seven basic tools of quality control.
caption: Simple example of a Pareto chart using hypothetical data showing the relative frequency of reasons for arriving late at work
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