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 ...

Data visualization is important in any industry as it makes it easier to identify patterns, trends and outliers in large sets of data. Whether you’re a teacher, a computer scientist or a ...

In this era of big data and sophisticated analytics those tortured souls whose job it is to explain and inform have a big problem: How to to make understandable and actionable what the data reveals.

From understanding and cleansing "dirty data" to some free and not-so free platforms to develop sophisticated visualizations, an ABA TechShow panel offered tips for creating data-driven visuals. Pie ...

There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer’s repertoire. They’re ...

One of the most appealing things about R is its ability to create data visualizations with just a couple of lines of code. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find ...

Discover how Tableau Data Visualization, BI dashboards, and Tableau Prep work together as a powerful data visualization tool for interactive charts, cleaner data, and clearer data storytelling.

Interested journalists can register for this online training in Spanish. Taller Arteluz is organizing the course "Data journalism and visualization for beginners" on Jan. 23 and 20, 2022 and Feb. 5, ...

Visualization is an essential element of any Big Data and analytics strategy. The most up-to-date, real-time information and advanced analytics solutions are an expensive waste of money if you can’t ...

For data to be useful to humans, we have to be able to visualize it in a way that lets us understand the story it tells, and communicate it to others. Data visualization tools are constantly evolving ...