Previous research has identified trade-offs when it comes to designing visualization tools.
While constructive" bottom-up'tools promote a hands-on, user-driven design process that …

Tools exist for people to create visualizations with their data; however, they are often
designed for programmers or they restrict less technical people to pre-defined templates …

Multidimensional multivariate data can be visualized using many different well‐known
charts, such as bar charts, stacked bar charts, grouped bar charts, scatterplots, or pivot …

In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

During the COVID-19 pandemic, a number of data visualizations were created to inform the
public about the rapidly evolving crisis. Data dashboards, a form of information …

Analytical dashboards represent a new approach to dashboards. Rather than hide the
details from the dashboard, an analytical dashboard is capable of representing a vast …

As datasets grow to tera-and petabyte sizes, exploratory data visualization becomes very
difficult: a screen is limited to a few million pixels, and main memory to a few tens of millions …

Visualizations often appear in multiples, either in a single display (eg, small multiples,
dashboard) or across time or space (eg, slideshow, set of dashboards). However, existing …

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-
world cases for data visualization, an essential skill required in today's information-rich …

Visualization tools are often specialized for specific tasks, which turns the user's analytical
workflow into a fragmented process performed across many tools. In this paper, we present …