登录查看更多内容

What are some emerging trends and innovations in data visualization?

由人工智能和领英社区提供技术支持

Data visualization is the art and science of presenting complex information in an engaging and understandable way. As a graphic artist, you know how important it is to create visuals that capture attention, convey meaning, and inspire action. But data visualization is not a static field. It evolves with new technologies, tools, and techniques that offer new possibilities and challenges. In this article, we will explore some of the emerging trends and innovations in data visualization that you should know and try.

此文章中的业界达人

由社区从 2 条内容中精选。了解更多

Alexandra Gomez

1 Interactive and dynamic visuals

One of the main advantages of digital data visualization is that it can be interactive and dynamic. This means that you can create visuals that respond to user input, change over time, or display different layers of information. Interactive and dynamic visuals can enhance user engagement, exploration, and learning. For example, you can use animation, transitions, or scrolling to show changes in data over time or space. You can also use interactive elements, such as buttons, sliders, or filters, to allow users to customize or manipulate the data. Or you can use tooltips, pop-ups, or annotations to provide additional details or context.

添加您的观点

Alexandra Gomez
举报内容
The technology is particularly useful on constantly changing data to minimize waste of media and facilitate updates, as well as point of information for crowded areas such as parks, malls, public buildings, museums, etc. It is an excellent complement to printed portable media (paper guides, catalogs, indexes, maps), and to its optional mobile application version.

已翻译

赞

2 Immersive and experiential visuals

Another trend in data visualization is to create immersive and experiential visuals that go beyond the screen and involve multiple senses. This can include using virtual reality, augmented reality, or mixed reality to create 3D or 360-degree environments that simulate or enhance reality. It can also include using sound, touch, or smell to create multisensory experiences that evoke emotions or memories. Immersive and experiential visuals can create a deeper connection between the user and the data, as well as offer new perspectives and insights.

添加您的观点

3 Artistic and expressive visuals

Data visualization is not only a scientific or technical discipline, but also a creative and artistic one. Many graphic artists are experimenting with data visualization as a form of artistic expression, using data as a medium to create aesthetic, emotional, or conceptual works. Artistic and expressive visuals can challenge the conventions and assumptions of data visualization, as well as invite interpretation and reflection. For example, you can use colors, shapes, textures, or patterns to create abstract or symbolic representations of data. You can also use storytelling, metaphors, or humor to create narratives or messages with data.

添加您的观点

4 Ethical and responsible visuals

Data visualization is not only a matter of design, but also of ethics and responsibility. As a graphic artist, you have the power and the duty to present data in a truthful, fair, and respectful way. Ethical and responsible visuals can help you avoid misleading, manipulating, or harming your audience or the data sources. For example, you can use accurate and appropriate scales, axes, or labels to avoid distortion or confusion. You can also use transparent and consistent methods, sources, and citations to provide credibility and accountability. Or you can use inclusive and diverse data, images, and languages to represent and respect different groups and perspectives.

添加您的观点

Alexandra Gomez
举报内容
Ethics and responsibilities also apply to the environment, it is important to disclose the impact of this technology on the environment. Although, Digital media is viewed as eco-friendly and waste-free, this statement is not completely accurate as the energy required to run the media centres is not always renewable. Data visualization provides unlimited space to educate the audience on auxiliary details otherwise unavailable on analog versions.

已翻译

赞

5 Collaborative and participatory visuals

Data visualization is not only a solo or top-down activity, but also a collaborative and participatory one. As a graphic artist, you can benefit from working with others, such as data analysts, researchers, or stakeholders, to create better and more relevant visuals. Collaborative and participatory visuals can help you leverage the skills, knowledge, and feedback of different people and groups. For example, you can use online platforms, tools, or templates to share, edit, or comment on your visuals with others. You can also use co-design, crowdsourcing, or gamification techniques to involve your audience or the data sources in the creation or use of your visuals.

添加您的观点

6 Accessible and adaptable visuals

Data visualization is not only a one-size-fits-all solution, but also a flexible and adaptable one. As a graphic artist, you can design visuals that cater to the needs, preferences, and abilities of different users and contexts. Accessible and adaptable visuals can help you reach and serve a wider and more diverse audience. For example, you can use responsive design, adaptive layout, or progressive disclosure techniques to make your visuals fit different devices, screens, or resolutions. You can also use contrast, colorblindness, or text-to-speech options to make your visuals accessible to people with visual impairments or disabilities.

添加您的观点

Graphic Arts

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are some emerging trends and innovations in data visualization?

1

2

3

4

5

6

1 Interactive and dynamic visuals

2 Immersive and experiential visuals

3 Artistic and expressive visuals

4 Ethical and responsible visuals

5 Collaborative and participatory visuals

6 Accessible and adaptable visuals

Graphic Arts

给文章评分

感谢您的反馈

更多Graphic Arts相关文章

更多相关阅读内容