R gives the capability of creating many graphical displays. These displays are used to view data in an easier and more concise way. In other words, graphs can help us make better sense of what happens ...

Statistician Howard Wainer and psychologist Michael Friendly are numbers magicians — they make the invisible visible. Two of the world’s leading figures in the field of data visualization, they are co ...

Researchers today have access to an unprecedented amount of data. The challenge is to benefit from this abundance without being overwhelmed. Data visualization for efficient exploration and effective ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

In a time-constrained situation, such as standing in line at a cafeteria or restaurant, it can be difficult for consumers to quickly calculate and use numerical nutrition information -- beyond the ...

A graphical display of select nutrients has resulted in consumers purchasing healthier, lower-calorie menu items as a meal when ordering in a café setting, a study has shown. This novel way of ...

In this section, we use the dataset cargame.csv to demonstrate how to create basic graphical displays in Python. Below is the scenario for the data: A toy company has four types of vehicles for sale: ...