Data visualization is a field that’s gaining momentum as more companies and individuals recognize how valuable data can be. Data scientists are increasingly being tasked with creating beautiful visualizations that bring abstract datasets to life. The result is often stunning: beautiful, engaging and informative artworks made out of data points.
An explosion of beautiful data visualization
Data visualizations are becoming more common. In fact, data visualization is a growing field and it’s being used in many different industries to display all kinds of data. The following examples show how beautiful artwork can be created from complex data sets:
- The above image was created by artist [Gregor Aisch](https://www.behance.net/gregor_aisch) using real-time flight information from Twitter and Instagram posts tagged #NYCairports during Hurricane Sandy in 2012. By mapping this information onto a 3D model of JFK airport, he created an explosive representation of social media activity during one of New York City’s worst disasters ever!
What is data visualization?
Data visualization is a way to present data in a way that makes it easier to understand. Data visualization can be used to show trends, patterns, and relationships. Data visualizations can also be used to make predictions and communicate information.
This is a great example of how you can use data points to create beautiful artwork!
The field of data visualization is growing rapidly
Data visualization is a growing field. The term “data visualization” was first used in the 1990s and has since become more common, with many different definitions and interpretations. Data visualization is often considered to be a combination of art and science, but there are also other ways to define it: as a new way to communicate information; as a new way to tell stories; or even as a tool for problem solving.
Data visualizations can be useful and engaging
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