These components are the building blocks for UI design and development on the Now Platform.
Figma library with Data visualization components for Workspace.
Introduction
There are various ways to present data through visualization. One common method is using charts, such as bar charts, line charts, and pie charts, which effectively showcase different types of data and enable comparison between data sets. Another popular approach is using graphs, such as area graphs, which provide a visual representation of relationships, distributions, and trends within the data. Additionally, infographics, heat maps and geo maps are also commonly used to present data in a visually appealing and easily understandable manner.
Choosing the right visualisation
When presenting data, it is important to select a chart that effectively communicates the main idea you wish to convey. Choosing an incorrect chart type could result in data misinterpretation, which might potentially confuse or deceive your audience.
Purpose
Initially, consider your purpose. What is the fundamental information you wish to communicate? Is it just for informing or taking actions for critical tasks?
User
Who is your user? Your audience is diverse, with different levels of expertise. Some users may be data-savvy, while others may need simplified information. To accommodate this range of skill levels, our visualizations & content should be clear, concise, and easy to understand.
Use case
Ultimately, how will you display the data according to the specific use case? Take a look at the "Types" sub-section for a thorough understanding of the different use cases and the corresponding charts for visualizing the data.
