The change of very first chart on page 91 was quite impressive and made me interest of the concept of maximizing data ink ratio. Today, unlike the period of 1980s, we have great quad processing computer that can do all the graphical designs using its own GPU which results in realistic visual on 3Ds. Even though I agree this theory of maximizing data ink ratio, I think some decoration is quite necessary to emphasize the data you are retrieving.

The Visual Display of Quantitative Information

Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

2004아테네 올림픽대회출전 한국레슬링 대표선수의 무산소성 운동능력 및 등속성 근력

Display screen with graphical user interface

In this paper, we present a systematization of techniques that use quality metrics to help in the visual exploration of meaningful patterns in high-dimensional data. In a number of recent papers, different quality metrics are proposed to automate the demanding search through large spaces of alternative visualizations (e.g., alternative projections or ordering), allowing the user to concentrate on the most promising visualizations suggested by the quality metrics. Over the last decade, this approach has witnessed a remarkable development but few reflections exist on how these methods are related to each other and how the approach can be developed further. For this purpose, we provide an overview of approaches that use quality metrics in high-dimensional data visualization and propose a systematization based on a thorough literature review. We carefully analyze the papers and derive a set of factors for discriminating the quality metrics, visualization techniques, and the process itself. The process is described through a reworked version of the well-known information visualization pipeline. We demonstrate the usefulness of our model by applying it to several existing approaches that use quality metrics, and we provide reflections on implications of our model for future research.

Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization

3D information visualization has existed for more than 100 years 3D offers intrinsic attributes such as an extra dimension for encoding position and length, meshes and surfaces; lighting and separation Further 3D can aid mental models for configuration of data within a 3D spatial framework Perceived issues with 3D are solvable and successful, specialized information visualizations can be built

3D InfoVis is here to stay: Deal with it

Introduction xvii PART 1 Overview Chapter 1 Why Graphs? 3 Chapter 2 A Graph for Every Problem 27 PART 2 Process and Tools Chapter 3 Data--Collect, Clean, and Connect 55 Chapter 4 Stats and Layout 87 Chapter 5 Visual Attributes 125 Chapter 6 Explore and Explain 157 Chapter 7 Point-and-Click Graph Tools 187 Chapter 8 Lightweight Programming 223 PART 3 Visual Analysis of Graphs Chapter 9 Relationships 275 Chapter 10 Hierarchies 293 Chapter 11 Communities 315 Chapter 12 Flows 351 Chapter 13 Spatial Networks 389 PART 4 Advanced Techniques Chapter 14 Big Data 419 Chapter 15 Dynamic Graphs 449 Chapter 16 Design 473 Glossary 497 Index 501

Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

A system and method are provided for visually distinguishing a plurality of numerical elements from a plurality of non-numeric elements in source data, in which the plurality of non-numeric elements providing context for the numerical elements. The system and method comprise the modules and corresponding functionality for selecting a portion of the source data and for identifying the plurality of numerical elements from the plurality of non-numeric elements in the selected portion of the source data according to a recognized format of the numerical elements. The system and method also assign a first shape object to an identified first numerical element of the plurality of numerical elements such that a visual property of the first shape object represents the numerical value of the first numerical element according to a scale, as well as assign a second shape object to an identified second numerical element of the plurality of numerical elements such that the visual property of the second shape object represents the numerical value of the second numerical element according to the scale. The system and method also position the first and second shape objects with respect to a reference surface and assign non-numeric objects to each of the plurality of identified non-numeric elements in the selected portion of the source data. Further, the system and method also position the non-numeric objects with respect to the reference surface for facilitating maintaining the context of the numerical elements for the numerical objects, such that the objects and reference surface are configurable for subsequent display as transformed data or storage in a storage for later retrieval.

System and method for visualizing contextual-numerical data of source documents as corresponding transformed documents

A method and system are provided for monitoring temporally dependent performance of at least one financial instrument in a marketplace including price and optional volume quantities for executed and unexecuted trades of the at least one financial instrument. The method and system include receiving temporally dependent financial data representing the price and optional volume quantities of the at least one financial instrument and determining a first common price scale configured for visually distinguishing the price quantities of both the executed and unexecuted trades and optionally determining at least one volume scale configured for visually distinguishing at least some of the volume quantities. The method and system also include determining a first plurality of shapes configured for visually distinguishing the executed trades on a trading activity surface and determining a second plurality of shapes configured for visually distinguishing the unexecuted trades on an order book surface, such that optionally each of the shapes of the first and second plurality of shapes are sized to correspond to the volume quantity associated with the trade represented by the shape, each of the shapes of the first and second plurality of shapes positioned on their respective surface with respect to the first common price scale to correspond to the price quantity associated with the trade represented by the shape. The system and method also include generating a visual representation configured for portraying the positioned shapes on a visual interface, such that the visual representation includes the trading activity surface located adjacent to the order book surface, such that the trading activity surface and the order book surface are visually aligned with respect to the first common price scale.

Financial instrument viewer based on shared axes

When creating a visualization for communication, the inclusion of aesthetically appealing elements can greatly increase a design's appeal, intuitiveness and memorability. Used without care, this "sizzle" can reduce the effectiveness of the visualization by obscuring the intended message. Maintaining a focus on key design principles and an understanding of the target audience can result in an effective visualization for communication. This paper describes these principles and shows their use in creating effective designs.

Visualization for communication: the importance of aesthetic sizzle

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Richard Brath

Author Tools

Chat about Author