Limit the chart to six-seven series, otherwise, a chart will be cluttered and difficult to interpretĬompare sales of books divided by genres over the years Column chart.If designed wisely, this type of chart is the best option for comparing multiple categories by measuring the bar lengths.Use it if you are interested in the proportional contributions either of categories to the total or of values within each category. This modification of the bar chart makes it easier to track the variation in the individual values and their total value. Use it for comparing multiple series inside the same category.Įvaluate a company’s performance by sales, expenses, profits Stacked bar chartĪ stacked bar chart is composed of multiple bar series stacked horizontally one after the other. This is an example of a clustered (grouped) bar chart.A single-series chart in which the values are compared inside one category.Ĭompare the population across different cities.Arrange bars on the chart in a logical ordering: ascending or descending one.Makes data more readable if the categories have long names or if you have more than 10 categories.Use it to compare data points that are spread across categories with each other. Bar charts are broadly used in marketing and finance. It displays grouped data using rectangular bars with lengths that are proportional to the values. The simplest and the most popular type of chart to show discrete data. ![]() The following charts work especially well for representing the discrete data: One of its notable properties is that, unlike continuous data, it can’t be measured, only counted.Įxamples of discrete data: the number of players in a team, the number of planets in the Solar System.Įxamples of non-discrete (continuous) data: height, weight, length, income, temperature. ![]() ![]()
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