Histogram charts are used to visualize the distribution of data. They can be used to visualize a wide range of data types. For example, they can be used to visualize the distribution of ages in a population, the distribution of income levels in a country, the distribution of grades in a class, the distribution of heights in a group of people, and so on. Essentially, any data that can be grouped into bins can be visualized using a histogram chart.

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Next up are Pareto charts, which get their name from the Pareto principle, which states that for many outcomes, 80% of the consequences stem from 20% of the causes. This is a prioritization tool to help identify the most important next step. In the sample datasets, we have a customer feedback Pareto analysis that counts the occurrences of different reasons customers unsubscribe, and a productivity Pareto analysis that counts the number of monthly bottlenecks that interrupt company productivity.

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Ultimate Charts (Part 3)

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