In an era where data is power, graphs have become an essential tool for transforming complex data into easily understandable visuals. But did you know that choosing the wrong type of graph can lead to misinterpretation , misunderstanding , or even a loss of credibility ?
This article will introduce you to 5 key principles for choosing graphs professionally, and explain what happens to your data if you choose the wrong ones.
1. Understand the types of data first
Before choosing a graph, consider the type of data you're presenting, such as data that changes over time, comparative data between categories, or proportional data
- For data spanning a specific time period, such as monthly sales figures, use a line graph
- For comparing categories, such as sales figures for each product, use a bar graph
- For proportions, such as market share, use a pie chart (if there are no more than 4-5 categories)
Using the wrong type of graph, such as a pie chart to show daily changes, will immediately lead to misinterpretation
2. Know what you are trying to communicate
Before creating a graph, ask yourself what you want the viewer to see. For example, do you want to show trends, comparisons, or the distribution of the data?
Choosing the right graph for your purpose will help convey your message clearly. For example, if you want to show a trend, use a line graph, not a bar graph, because bars don't show continuity over time
If the chosen graph doesn't accurately reflect the intended message, the audience may misunderstand or not grasp the main idea at all
3. Avoid graphs that distort the data
Graph design should avoid making the data appear exaggerated, for example:
- Avoid using 3D graphs because, although they may look appealing, they distort the actual size
- Don't intersect the Y-axis in a way that makes the values appear to be too far apart
- Use proportions and sizes that are relative to the actual data
Using distorted graphs can exaggerate data, lead to misinterpretation by viewers, and reduce your credibility
4. The amount of data must be suitable for the graph
Too much or too little data can make the graph difficult to read
- If you have a lot of data, such as 30 categories, don't use a pie chart because it's difficult to read
- If there is limited data, such as 3-4 categories, a short bar graph might be clearer than a table
Using a graph that is unsuitable for the amount of data can make it difficult for viewers to understand, and what should be simple data becomes complex
5. The design must be simple and clear
The color selection, axis naming, and descriptions must be complete
- Use colors meaningfully, for example, green for a good outcome and red for a bad outcome
- Avoid using too many colors that can strain the eyes
- The axis name, unit, and description must be clearly stated
Graphs that look good but lack explanation or are too colorful can be confusing and unprofessional
The negative consequences of choosing the wrong graph
- Viewers may misinterpret and misunderstand the information
- The presenter's credibility will immediately decrease
- Useful information may not be fully conveyed
- Making decisions based solely on that information may be flawed
- Missed opportunity to create interest and persuade
summarize
Choosing the right graph isn't just about aesthetics; it's about communicating data clearly, concisely, and in an easy-to-understand way. A good graph will allow the data to speak for itself powerfully, and will truly enhance the quality of your presentation in the eyes of your audience
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