Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

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 ...

Accountants often are tasked with tracking the performance of their organization (or client organizations). That process usually requires referring to multiple sources to gain insight on the trends of ...

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 ...

CartoDB, a data visualization company founded in Madrid in 2012, changed its name to CARTO to celebrate its new analysis tool CARTO Builder and to emphasize its attempt to enlarge its audience from ...

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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. Any great story means visualization and detail. It takes the small ...

Through rigorous, data-based analysis, researchers and analysts can add to our understanding of societal shortcomings and point toward evidence-based solutions. But carelessly collecting and ...