Here are some common issues with dual Y-axis charts and how to address them effectively. Challenges of using dual Y-axis charts: Confusion about which axis to read: In a dual Y-axis chart, viewers may have trouble understanding which axis corresponds to which data series, especially if the chart is cluttered. Patterns dependent on scales: The […]
Chart scaffolding is the framework on which we build our visuals to tell data stories, so it’s essential to have a solid foundation. Here are some common pitfalls in data visualization design and how to avoid them. Inconsistent axis scales can lead to the misinterpretation of the data’s patterns and relationships. For instance, imagine a […]
The issue of text orientation in data visualization is an essential aspect worth considering to ensure that the audience can easily and quickly understand the presented information. Diagonal text may impact reading speed as our brains are hardwired to recognize and process horizontal and vertical text more efficiently. The diagonal text requires slightly more cognitive […]
Here are several reasons why you should avoid using trailing zeros and overly precise numeric values in charts. Clutter reduction: When you include unnecessary trailing zeros or overly precise numeric values, you are adding visual clutter to your charts. This may make the chart appear more complicated than it needs to be, which can hinder […]
Ensuring that they effectively represent and communicate the underlying data when designing axes for various chart types is essential. Here are some key considerations to keep in mind: Choose the appropriate chart type: The first step in designing axes is determining the most suitable chart type for your data. Common chart types include bar charts, […]
Ensuring that axis tick marks, labels, and time intervals are consistent and evenly spaced is crucial for creating effective and easy-to-understand data visualizations. First, let’s look at an example that does not pay attention to spacing: As you can tell, it is challenging to truly understand what is going on. Now, we can see […]
Normalizing popularity metrics by population is essential when designing chart scales because it allows for a more accurate and fair comparison across different categories, regions, or time periods. By normalizing the data, we can create visuals that truly reflect what’s happening and avoid misleading conclusions. Imagine we want to compare the popularity of a music […]
Here are some guidelines to ensure that chart ranges are appropriate for the data and chart type. Understand your data: The first step in creating an effective chart is to know your data well. This means understanding the data’s values, ranges, and context. For example, if you are working with percentages, you should be aware […]
Truncated axes, also known as clipped or broken axes, are the result of cutting off a portion of an axis in a chart to focus on a specific range of data values. Truncated axes can be used when you want to emphasize a particular range or a specific portion of the data. By truncating the […]
Designing the most suitable chart range is crucial for accurately representing your data in visual formats. Understand your data: The first and foremost thing to do before designing any chart is to understand your data. Data compression should be considered when identifying chart ranges to ensure the information is effectively represented within the available space […]
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