© 2018 VLDB Endowment. In order to democratize data science, we need to fundamentally
rethink the current analytics stack, from the user interface to the “guts.“Most importantly …

The problem of data visualization is to transform data into a visual context such that people
can easily understand the significance of data. Nowadays, data visualization becomes …

In this paper, we present a new benchmark to validate the suitability of database systems for
interactive visualization workloads. While there exist proposals for evaluating database …

We consider data-visualization systems where a middleware layer translates a frontend
request to a SQL query to a backend database to compute visual results. We study the …

We present DashQL, a language that describes complete analysis workflows in self-
contained scripts. DashQL combines SQL, the grammar of relational database systems, with …

We present new language-based dynamic analysis techniques for linking visualisations and
other structured outputs to data in a fine-grained way, allowing users to explore how data …

We study the problem of efficient spatial visualization on a large data set stored in a
database using SQL queries with ad-hoc range conditions on numerical attributes, for …

Interactive visualization design and research have primarily focused on local data and
synchronous events. However, for more complex use cases-eg, remote database access …

It is well-established that the provenance of a scientific result is important, sometimes more
important than the actual result. For computational analyses that involve visualization, this …

Crossfilter, a typical application for interactive data exploration (IDE), is widely used in data
analysis, BI, and other fields. However, with the scale-up of the dataset, the real-time …