Data representation is essential in today’s fast-paced business environment. Almost all organizations need to interpret and analyze large amounts of data, and the Marimekko chart is one of the most helpful tools. However, like any other statistical tool, it can lead to erroneous conclusions when used incorrectly. This article aims to shed light on some potential pitfalls to avoid when using Marimekko charts, helping you form a robust interpretation of your data. Keep reading below for more detailed insights.
3 Common Pitfalls To Avoid When Using Marimekko Charts
Understanding the Basics of Marimekko Charts
Also known as the Mekko chart, Marimekko charts are two-dimensional stacked charts. This chart type allows you to display two sets of categories and their relationships. The width of a column or bar on the chart represents one set of categories, whereas the height represents another.
In addition to the standard use of the chart, there are scenarios where Marimekko charts may offer additional granularity for interpretation. For example, in a market share analysis situation, the width of a bar might refer to the size of different market segments, while the height might represent the various companies’ market shares within each segment.
The Pitfall of Overcomplication
One common downfall when using Marimekko charts is making them too complicated. Since the chart can display multiple data sets, including as much data as possible can be tempting. However, this often leads to an overcrowded, complex chart that is difficult to comprehend.
Avoid the mistake of overcomplication by focusing on the most important data. What is the key message or trend you hope your audience will take away from the chart? Considering this question, you can prioritize the most pertinent information and discard any extraneous data that may muddle your message.
Remember that simplicity is key. The purpose of a Marimekko chart, just like any other data visualization tool, is to facilitate understanding. An overcomplicated chart can distract from your primary message and make it harder for your audience to comprehend the information.
Disproportionate Scale Problems
One of the main advantages of Marimekko charts is their ability to visually depict several dimensions of data. However, when not used correctly, this can lead to confusion. A common mistake is using disproportionate scales, which can distort data and lead to false interpretations.
To prevent this, ensure that the scales you use are appropriate for the data you’re depicting. If one scale is used for the widths of the bars and another for the heights, make sure they are commensurate. The ultimate goal of using a Marimekko chart is to present data in an easily understandable format.
Also, it’s critical to label your axes clearly. Unclear or misleading labels can confuse and lead to misinformation. A clearly labeled Marimekko chart ensures that your audience will understand and accurately interpret the data you’re presenting.
Beware of Misinterpretations Due to Color Usage
Color is a powerful tool in data visualization, and Marimekko charts are no exception. Color can enhance understanding, highlight key trends, and make your data more compelling. However, misusing color can lead to confusion and misinterpretation.
It’s essential to choose colors that are easily distinguishable from one another. Using similar shades of the same color can make it difficult to differentiate between data sets, especially in a busy chart.
A good rule of thumb is to use contrasting yet harmonious colors. This will make your chart both easy to understand and visually appealing to the eye. A final tip is to use a color legend or key to help your audience interpret your chart accurately.
Marimekko charts offer a unique and effective method of data visualization. While they can seem complex, being aware of the possible pitfalls to avoid when using them will empower you to use Marimekko charts confidently and accurately. Remember to keep your charts simple, use color effectively, focus on quality over quantity, and always update your data for the best results.
