The Component Comparison and its different alternatives

As we discussed in the essential article on Component Comparison, it represents a situation where you need to show an item as a mix of two or more elements. The usual words used with it are: % of Total, Share of, Mix of, Component of, Includes X. You can find it in the world around you every day. Last week, we talked about the 100% Stacked Column Chart. Today, we take a look at Pie Charts and Doughnut Charts.

Pie Chart – The birth

The pie chart—sometimes called a “circle chart”—was invented by Scottish engineer and economist William Playfair in 1801. He introduced it in his Statistical Breviary. His goal was to visually represent the proportions of the Turkish Empire across Asia, Europe, and Africa. Although Playfair’s invention was not widely adopted at first, it gained popularity in the 19th century.

Florence Nightingale adapted the concept to create her famous pie charts, also known as polar area diagrams. She used them to communicate the causes of mortality in military hospitals to Queen Victoria. The pie chart’s primary purpose was to make the composition of a whole more instantly understandable to a broad audience, especially in business, media, and public policy contexts.

Practical Examples from the Corporate World

Something around Budgets and Audience Engagements…

You can clearly see that these charts depict five components of the whole. All five are adding up to 100%. This is very important to note; it needs to add up to 100% otherwise this chart does not make sense. There are some Pros and Cons associated with this chart.

👉🏻 Advantages

• Intuitive Visualization of Proportions: Pie charts make it easy to see how different parts contribute to a whole. Each slice’s size is proportional to its share of the total.
• Immediate Impact: The circular format is visually engaging and quickly communicates the idea of parts making up a whole.
• Simplicity: Pie charts are straightforward to read when there are only a few categories, making them ideal for simple datasets.
• Effective for Percentages: They are particularly useful for showing percentage or proportional data, such as market share or budget allocation.
• Popular in Business and Media: Their widespread use in reports, presentations, and news stories makes them familiar to most audiences

👉🏻 Disadvantages

• Difficult to Compare Similar Values: Small differences between slices are hard to distinguish, making precise comparisons challenging.
• Not Suitable for Many Categories: When there are more than five to seven categories, the chart becomes cluttered. It becomes hard to interpret.
• Lack of Exactness: It is difficult to extract exact values from a pie chart without annotations. This is especially true for slices that are not labeled.
• Poor for Trend Analysis: Pie charts do not show changes over time or allow for easy comparison between multiple datasets.
• Can Be Misleading: If not designed carefully, pie charts can exaggerate differences. They can also obscure differences, especially if slices are not sorted. This is particularly true if 3D effects are used.

Practical Tips to Reduce the Disadvantages

There are always creative ways to help yourself avoid the pitfalls, depending again on the story you choose to tell. Not every piece of data is essential, and not everything needs to be visible or communicated. I have added some tips I’ve learned during my professional journey on the right side of the image below.

Are there other alternatives?

Of course, in the future post I am going to talk about:

• Doughnut Charts
• 100% Stacked Bar or Area charts
• Tree maps and Mekko Charts
• Sankey Charts and others

Summary

There is always a chart for your story. You need to understand the basic concepts, principles, and language used. This helps you correctly choose what you need to persuade, inform, inspire, or entertain!

For a free downloadable resource, click the Chart Decision Tree and Compare Visual Guide.