There is a data revolution happening across the globe. From academics to politics, and everywhere in between, the world’s stories are being told through their datapoints. And, while using ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

One of the most common clichés in the viz space is that “data visualizations are only as effective as the insights they reveal.” In this context, effectiveness is a function of careful planning. Any ...

Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries. But all the ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

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 ...

Opinions expressed by Entrepreneur contributors are their own. As an entrepreneur, a pitch deck is your most powerful tool to impress investors and raise investments from them. However, creating the ...

We’ve all heard that data tells a story. But sometimes that story is difficult to follow – especially if you’re not really a numbers person. As SEO professionals, we know what we do has an effect on a ...

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 ...