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 ...

Making quick and informed decisions is crucial to stay ahead in today's fast-paced, data-driven world. As we generate vast amounts of data, transforming it into actionable insights has never been more ...

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 ...

“Very often, these charts should be appearing in the first few paragraphs, explaining the basic information so that the accompanying copy can be more analytical. We can use these graphics to help ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Data visualisation is proving its value throughout a period of economic uncertainty. In this 16-page buyer’s guide, Computer Weekly looks at the rise of embedded analytics, the advantages of real-time ...

Data can sometimes feel overwhelming, can’t it? Whether you’re staring at endless rows in a spreadsheet or trying to make sense of complex trends, it’s easy to feel lost in the noise. But what if ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

There have never been so many line charts, bar charts and choropleth maps occupying the news, as simple data visualisations have become key to communicating vital information about the coronavirus ...