If you work in top management or as a business owner, you will surely want to monitor growth, profitability, and market share by segment or area. in this case, creating a mekko chart will be a great approach to displaying market growth by segment, where growth rate is the height of the bar and segment revenue is the breadth of the bar This figure might be good for demonstrating the variations in growth rates between large and small parts. Meanwhile, you can read through to deeply understand this great technique.
Mekko Chart Introduction
Mekko Chart Definition
Some people are confused by mekko graph models, although they are just column charts that display an additional dimension of data. They illustrate the breakdown of each of the three growth boosters stated at the top of the chart in this example. They nearly look like stacked columns, but they may also display the overall size of each accelerator, which is reflected by the width of each column. This chart can include distinct parts for each bar, making it valuable for finding market opportunities. Add a data row to a Marimekko chart to display the numbers that influence bar width or to provide text or data that will aid in explaining the chart’s revelations.
Benefits of using Marimekko Chart
It’s being used to display two numerical variables for each category in the data set; the purpose is to compare the subcategories but not the control parameters. Mekko chart models are commonly used in dashboards and marketing and sales presentations, where the categories are typically goods, regions, sectors, segments, and so on. Typically, the numerical variables include sales, earnings, expenses, margins, growth rates, and so forth. They are not appropriate for analyzing distribution, relationships, or trends over time.
The Marimekko chart is also another alternative to the conventional bar charts or visual representation of data that allows you to decrease the number of charts in a presentation. The chart does this by encoding one of the numerical variables by the height of bars and the other subjective element by the width of panels.
Mekko Graph Examples by GitMind
Make a mekko graph to compare statistics across nations, businesses, brands, goods, and objects, among other things. Browse GitMind‘s Mekko chart templates below and completely personalize them in the drag-and-drop tool. Connect your spreadsheet to automatically sync data, modify the design and settings, and even change the graph type by selecting from possibilities. Meanwhile, if you really want to try out this strategy, you may select one of the templates below, or you can start from scratch by visiting GitMind’s official website.
Mekko chart with %-axis
Edit this exampleA mekko chart with a percentage axis is a two-dimensional 100% graphic. The value axis is based on percentages, like in the 100 percent chart, and column heights are given relative to 100 percent. Because the columns on the normal 100 percent chart are scaled to relative heights, there is no visual representation of absolute column totals.
Mekko chart with units
Edit this exampleThe value axis of a Marimekko chart with units is shown, and the datasheet of the chart, like that of a regular stacking chart, is dependent on actual values. Length and width are completely independent of one another. Column widths are entered in the main width row, and each segment’s elevations are supplied similarly to a typical layered chart.
Note: You may change between vertical and horizontal layouts in several visualization tools. In practice, however, the vertical arrangement is chosen since the horizontal one complicates the storyline excessively.
Conclusion
Above all, the mekko chart model’s most essential conceptual notion is its capacity to correctly weigh the size of one of the quantitative variables. Traditional bar charts, in all of their variations, employ the very same bar width including all categories, limiting assessments to the length or height of a precise dimension variable. The variable width in the mekko graph represents the perceived importance of the next set of variables in a single graph. On the other hand, have poor visual effectiveness: the precision and purity of the binary codes that enter the spectator are rather low.
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