Below we discuss several different encoding features and how to determine which to use when designing charts. Encodings are the visual cues we use to represent data on a chart. They can be shape, size, color hue, color intensity, position, angle or orientation, icons, isotype, and text. Choosing the right encoding is essential for creating […]
A critical aspect of creating clear and informative visuals is making sure that we demonstrate the extent of the correlation between two sets of data points. Correlation refers to the extent to which one variable’s changes are associated with changes in another variable. We can observe three primary types of correlation: positive, negative, and no […]
Designing charts that include multiple series of data is an important skill to have because it allows us to gain insights and compare different data series at a glance. First of all, let’s define what a multiple-series chart is. It is simply a chart showing two or more data series on the same visual. This […]
There are several ways to encode data in tables to visualize data effectively. Let’s use the following example to discuss the techniques of text, color saturation, sparklines, and icons: Imagine we have data on the sales of different types of fruits in a supermarket – apples, oranges, and bananas. Text The most straightforward way […]
Here, we will review how to encode numeric variables when designing charts. Numeric variables are simply numerical data that can be measured, counted, or quantified. Encoding is the process of translating this data into visuals that are easy to understand. To make the most effective and engaging charts, we can use six key encoding techniques: […]
Color is an essential visual element in charts and diagrams, as it can dramatically impact the success and effectiveness of your data visualization. By making thoughtful choices in your color palette, you’ll be able to create visuals that are aesthetically pleasing and easy to understand. There are two main reasons color is critical to chart […]
Data encoding means translating raw data or information into visual elements, such as bars, lines, or bubbles, which make up a chart. So, why is data encoding essential for effective chart design? Well, there are three main goals of data encoding: clarity, accuracy, and efficiency. Clarity The first goal is to make the data […]
Anticipating audience questions and calibrating visuals to a data storytelling message is crucial for a few key reasons. It allows you to: Tailor your message: By understanding what your audience might want to know, you can create visuals and a narrative that specifically addresses those concerns, making your presentation more effective. For example, if you […]
In any interactive visual narrative, it’s crucial to highlight the meta-story because it provides the broader context and framework within which your data and visualizations become meaningful. The meta-story relates to the bigger picture and the overarching insights we can gain from the data that is being presented. By focusing on the meta-story, you help […]
When creating a compelling data storytelling visual narrative, it’s important to carefully choose the photos and illustrations to enhance the story you’re telling. Here are some best practices and common pitfalls to avoid when selecting images for your data story: Relevance The extent to which an image is directly connected to the content and […]
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