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Title:Towards a scripting language for visual data exploration
Author(s):Xue, Edward H.
Advisor(s):Parameswaran, Aditya G.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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
Issue Date:2018-04-26
Type:Text
URI:http://hdl.handle.net/2142/101040
Rights Information:Copyright 2018 Edward Xue
Date Available in IDEALS:2018-09-04
Date Deposited:2018-05


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