Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Dhruv Madeka, a quantitative researcher at Bloomberg, describes the open source library D3 (or D3.js), which is used to make interactive data visualizations, as “awesome.” But for many would-be fans, ...

Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

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

Many analyses in functional genomics use powerful computational and statistical tools to preprocess and model data, and provide statistical inferences. Visualization of data at each step of these ...

Getting readers of a news story interested in numbers can be a challenge. But the benefits of engaging readers in data can lead to a better understanding, preventing misinformation and ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

See our top data 8 visualization tools, including Tableau, Power BI and Google Looker, learn why we selected each and understand how to determine the best visualization tool. Data visualization tools ...