Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Effective data visualizations display complex information in a way that's easy to understand. Here's what goes into creating a good one. Data visualization has grown more complex as the number of data ...

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications. If you develop applications that share data with ...

Methods and tools for visualizing biological data have improved considerably over the last decades, but they are still inadequate for some high-throughput data sets. For most users, a key challenge is ...