When choosing the number of metrics to encode in a chart, it’s important to consider the following factors: Clarity Your primary goal in creating any chart is to convey information as clearly as possible. Trying to cram too many metrics into a single chart might become confusing or difficult to read. Stick to a […]
Here, we will explore different color palettes used in designing charts and how to choose the right one for your data. We’ll also learn about creating qualitative, sequential, and diverging color palettes. The key to selecting the right color palette is understanding the nature of your data and what you want to convey through your […]
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 […]
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