G Singh, J Singh, C Prabha - 2022 7th international …, 2022 - ieeexplore.ieee.org
Data visualization is a key component to business and data analytics and it is common to think of statistical graphics and data visualization as relatively modern developments in …
P Godfrey, J Gryz, P Lasek - IEEE transactions on knowledge …, 2016 - ieeexplore.ieee.org
Visualization provides a powerful means for data analysis. But to be practical, visual analytics tools must support smooth and flexible use of visualizations at a fast rate. This …
Most visualizations today are produced by retrieving data from a database and using a specialized visualization tool to render it. This decoupled approach results in significant …
Data analysts often build visualizations as the first step in their analytical workflow. However, when working with high-dimensional datasets, identifying visualizations that show relevant …
When an organization chooses one course of action over alternatives, this task typically falls on a decision maker with relevant knowledge, experience, and understanding of context …
Data visualization is an effective mechanism for identifying trends, insights, and anomalies in data. On large datasets, however, generating visualizations can take a long time, delaying …
Data analysts operating on large volumes of data often rely on visualizations to interpret the results of queries. However, finding the right visualization for a query is a laborious and time …
We present a vision of next-generation visual analytics services. We argue that these services should have three related capabilities: support visual and interactive data …
In recent years we have seen information visualization technology move from an advanced research topic to mainstream adoption in both commercial and personal use. This move is in …