THESIS
2018
xvi, 112 pages : illustrations ; 30 cm
Abstract
In the era of big data, the amount of digital information is growing at a tremendous
rate. The past few years have seen major advances in data visualization and visual
analytics systems for exploratory data analysis. However, the increasing complexity of
data has posed new challenges to effective communication of data insights to a general
audience. To convey data insights effectively, narrative visualization has been designed
and created by practitioners in the forms of data journalisms, interactive data reports, and
so on. However, most existing narrative visualizations are crafted by graphical designers
and visualization experts through graphical design tools or programming languages.
Therefore, it is very hard and time-consuming to generate or author visual data stories.
To...[
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In the era of big data, the amount of digital information is growing at a tremendous
rate. The past few years have seen major advances in data visualization and visual
analytics systems for exploratory data analysis. However, the increasing complexity of
data has posed new challenges to effective communication of data insights to a general
audience. To convey data insights effectively, narrative visualization has been designed
and created by practitioners in the forms of data journalisms, interactive data reports, and
so on. However, most existing narrative visualizations are crafted by graphical designers
and visualization experts through graphical design tools or programming languages.
Therefore, it is very hard and time-consuming to generate or author visual data stories.
To address this challenge, we present visual data storytelling techniques and systems
to ease the generation and authoring of narrative visualization, and to enhance data
insight communication. Specifically, we design an interactive visualization system that
can generate interactive slides with a narrative structure from academic papers to improve
users’ paper-reading experience; we develop animated narrative visualization to present video clickstream data to guide the user’s attention to patterns and anomalies in the
data; and we introduce InfoNice, a visualization design tool that facilitates users to
easily create data-driven infographics for storytelling. We have conducted various user
studies to demonstrate the effectiveness of our systems and techniques for data insight
communication.
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