Towards a scripting language for visual data exploration

Xue, Edward H.

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https://hdl.handle.net/2142/101040 Copy

Description

Title

Towards a scripting language for visual data exploration

Author(s)

Xue, Edward H.

Issue Date

2018-04-26

Director of Research (if dissertation) or Advisor (if thesis)

Parameswaran, Aditya G.

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Data Analytics
• Visual Data Analytics
• Automatic Visualization
• Databases
• Scripting Language
• R
• ggplot
• Data Exploration
• Zenvisage
• Query Language
• ZQL
• ZSL
• Data Science
• grammar
• CFG
• BNF

Abstract

Visualization of data is becoming increasingly important for data analysis; numerous insights can be derived from visualizations at a glance. While the information provided through visualization is powerful, the visual analysis process remains largely manual, consuming valuable man-hours. Zenvisage automates the search for desired visual patterns, speeding up visual exploration. It does so through a query language, ZQL, that encapsulates the key data analysis operations such as comparison, sorting, filtering, and composition. However, Zenvisage is somewhat lacking in support for expert data analysts, who are comfortable with programming in existing data analytics tools and may not want to switch to a new system. In order to bring our tool to such users, we propose the Zenvisage Scripting Language, which the power of provides the same expressive power as ZQL but also integrates directly into an expert user’s programming language (in our case, we use ggplot and R as a case study). This would allow users to easily adapt their workflows to support visual exploration-based insight

Graduation Semester

2018-05

Type of Resource

text

Permalink

http://hdl.handle.net/2142/101040

Copyright and License Information

Copyright 2018 Edward Xue

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