Data Visualization Techniques: Traditional Data to Big Data

2020 ◽  
pp. 53-74
Author(s):  
Parul Gandhi ◽  
Jyoti Pruthi
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Visualization Techniques

Visualization of Big Data Sets Using Computer Graphics

2018 ◽  
pp. 578-603
Author(s):  
Anna Ursyn ◽  
Edoardo L'Astorina
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Visual Analysis ◽  
Data Sets ◽  
Arrival Times ◽  
Learning And Teaching ◽  
Knowledge Domains ◽  
Visualization Of Data ◽  
And Mathematics ◽  
Visualization Techniques

This chapter discusses some possible ways of how professionals, researchers and users representing various knowledge domains are collecting and visualizing big data sets. First it describes communication through senses as a basis for visualization techniques, computational solutions for enhancing senses and ways of enhancing senses by technology. The next part discusses ideas behind visualization of data sets and ponders what is and what not visualization is. Further discussion relates to data visualization through art as visual solutions of science and mathematics related problems, documentation objects and events, and a testimony to thoughts, knowledge and meaning. Learning and teaching through data visualization is the concluding theme of the chapter. Edoardo L'Astorina provides visual analysis of best practices in visualization: An overlay of Google Maps that showed all the arrival times - in real time - of all the buses in your area based on your location and visual representation of all the Tweets in the world about TfL (Transport for London) tube lines to predict disruptions.

Measuring the Antitrust Revolution

2020 ◽  
Vol 65 (4) ◽  
pp. 499-514
Author(s):  
D. Daniel Sokol ◽  
Sara Bensley ◽  
Maia Crook
Keyword(s):  
Big Data ◽  
Economic Analysis ◽  
Data Visualization ◽  
Case Law ◽  
Court Cases ◽  
Multiple Goals ◽  
Historical Trends ◽  
Access Project ◽  
Visualization Techniques ◽  
The Impact

Although antitrust always evolved with the economics of its time, economic analysis was not central to the antitrust enterprise until Continental T.V. Inc. v. GTE Sylvania. In doing so, the Court abandoned the multiple goals of the prior era to embrace a singular economic goal. With a singular goal, antitrust had become revolutionary. How to measure the antitrust revolution has been difficult. In this article, we focus on published case law, which provides a broad set of observations that includes government enforcement actions and private antitrust suits. We use the Caselaw Access Project database and its associated “Historical Trends” tool to track the usage of certain words and phrases in judicial opinions. This article is the first to measure antitrust terms in court cases that combine big data with data visualization techniques to better understand, based on the usage of common antitrust terms, the impact economics has had on decided cases.

scholarly journals DATA VISUALIZATION TECHNIQUES: A REVIEW

2020 ◽  
Vol 7 (8) ◽  
pp. 18-26
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Visualization ◽  
Fast Rate ◽  
Time Data ◽  
Big Data Visualization ◽  
Basic Concepts ◽  
Visualization Techniques ◽  
Pictorial Form

Data visualization involves representing data and information in a graphical or pictorial form so that it can be easily understandable. At Present time, data is increasing at a very fast rate so, it is important to visualize and analyze the massive amount of data by using various visualization techniques. Data Visualization techniques are very helpful to visualize and understand outliers, trends, and patterns in data and thus helpful in decision making. This paper presents a review of the basic concepts of data visualization and various techniques and tools used for visualizing data. Some big data visualization techniques, which are the need of the hour, are also being discussed.

scholarly journals Linked Data Visualization: Techniques, Tools, and Big Data

2020 ◽  
Vol 10 (1) ◽  
pp. 1-157 ◽  
Author(s):  
Laura Po ◽  
Nikos Bikakis ◽  
Federico Desimoni ◽  
George Papastefanatos
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Linked Data ◽  
Visualization Techniques

scholarly journals Overlapping issues and solutions in data visualization techniques

2019 ◽  
Vol 16 (3) ◽  
pp. 1600
Author(s):  
Nur Diana Izzati Husin ◽  
Nur Atiqah Sia Abdullah
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Network Data ◽  
Data Sets ◽  
Complex Data ◽  
Advantages And Disadvantages ◽  
Data Analyst ◽  
Visualization Process ◽  
New Knowledge ◽  
Visualization Techniques

<span>The tremendous growth of big data has caused the data visualization process becomes more complex and challenging, and yet, data is expected to be increased from time to time. With these massive and complex data, it is getting harder for the data analyst to interpret or read the data in order to gain new knowledge or information. Therefore, it is important to visualize these data using different techniques. However, there are many remaining issues in data visualization techniques. These issues make the data visualization a big challenge to the data analyst. The most common issue in data visualization techniques is the overlapping issue. This paper reviews the overlapping issues in multidimensional and network data visualization techniques. The existing solutions are also reviewed and discussed in term of advantages and disadvantages. This paper concludes the advantages of the overlapping issues and solutions, before discussing their drawbacks. This paper suggests the color-based approach, relocation, and reduction of data sets to solve the overlapping issues.</span>

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