scholarly journals An Analysis of Data Visualization Tools

2019 ◽  
Vol 178 (10) ◽  
pp. 4-7
Author(s):  
Vijay Gupta
Keyword(s):  
Data Visualization ◽  
Visualization Tools

scholarly journals Developing effective data visualization tools for nutrition: reflections on the design of a Nutrition Scorecard in Nigeria

2021 ◽  
Vol 5 ◽  
pp. 98
Author(s):  
Yashodhara Rana ◽  
Gianni Dongo ◽  
Caroline Snead ◽  
Grace Agi ◽  
Oluwagbenga Sadik ◽  
...  
Keyword(s):  
Data Visualization ◽  
Target Audience ◽  
Theory Of Change ◽  
Open Letter ◽  
Target Groups ◽  
Design Processes ◽  
Participatory Processes ◽  
Visualization Tools ◽  
Collaborative Efforts ◽  
Constructive Action

There has been a growing number of nutrition data visualization tools (DVTs) to monitor progress towards targets and encourage action. However, there are few documented examples of how to go about designing effective DVTs for nutrition-related audiences. In this Open Letter, we summarize reflections from collaborative efforts between the Nigeria Governors’ Forum (NGF) and the Data for Decisions to Expand Nutrition Transformation project (DataDENT) in 2019-2021 to design a sub-national nutrition scorecard that aims to hold Nigeria’s 36 Governors accountable to nutrition commitments. Our reflections add to an emerging body of work advocating for DVT design processes to develop a specific theory of change for how the DVT will influence target groups and achieve aims. Once the target audience is identified, it is important to create a strong engagement strategy to ensure that the DVT promotes constructive action. We also highlight the importance of identifying actionable indicators through participatory processes. We hope that these insights about collaborative DVT design can be applied by countries and institutions who want to develop similar tools to advance the nutrition agenda in their context.

Semiotic Content of Visuals and Communication

2014 ◽  
pp. 174-192
Keyword(s):  
Data Visualization ◽  
Verbal Communication ◽  
Biological Data ◽  
Scientific Study ◽  
Visual Design ◽  
Basic Information ◽  
Natural Processes ◽  
Sign Systems ◽  
Visualization Tools ◽  
Living Organisms

The semiotic content of visual design makes a foundation for non-verbal communication applied to practice, especially for visualizing knowledge. The ways signs convey meaning define the notion of semiotics. After inspection of the notions of sign systems, codes, icons, and symbols further text examines how to tie a sign or symbol to that for which it stands, combine images, and think figuratively or metaphorically. Further text introduces basic information about communication through metaphors, analogies, and about the scientific study of biosemiotics, which examines communication in living organisms aimed at conveying meaning, communicating knowledge about natural processes, and designing the biological data visualization tools.

scholarly journals A Virtual Reality Platform for Analyzing Remote Archaeological Sites

2019 ◽  
Vol 31 (2) ◽  
pp. 167-176 ◽  
Author(s):  
Brendan Cassidy ◽  
Gavin Sim ◽  
David Wayne Robinson ◽  
Devlin Gandy
Keyword(s):  
Virtual Reality ◽  
Native American ◽  
Data Visualization ◽  
Archaeological Sites ◽  
Archaeological Data ◽  
Key Stakeholders ◽  
World Class ◽  
Visualization Tools ◽  
Survey Evaluation

Abstract This paper describes a Virtual Reality (VR) prototype developed to help archaeologists and other stakeholders explore and analyse archaeological data in a more immersive context. We describe a VR reconstruction of Pleito Cave, a fragile world class rock-art site with accessibility limitation. Key stakeholders are identified and a prototype is described that provides a VR platform for visualizing and interacting with complex archaeological data (gathered from techniques such as decorrelation stretch and X-ray fluorescence) virtually ‘in situ’, in a way that would not be possible at the real site. The prototype allows multiple remote users to interact with the cave together remotely providing opportunities for collaborative interpretation and analysis of archaeological data. We also present a survey-based evaluation in which both archaeologists and Native American stakeholders indicate positive responses for measures of both engagement and value. Research Highlights An interactive, multi-user, immersive archaeological data visualization tool is described. Survey evaluation elicits insights into where the system provides value and engagement for key stakeholders. Thematic Analysis provides further design insights for future development of immersive archaeological data visualization tools.

scholarly journals Data Visualization Tools for Materials Properties Research

2017 ◽  
Vol 96 ◽  
pp. 00014 ◽  
Author(s):  
Artem Obkhodsky ◽  
Sergey Kuznetsov ◽  
Alexander Popov ◽  
Aleksey Zolotarev ◽  
Victor Sachkov
Keyword(s):  
Data Visualization ◽  
Materials Properties ◽  
Visualization Tools

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

2017 ◽  
Author(s):  
Gary M. Stump ◽  
Simon W. Miller ◽  
Michael A. Yukish ◽  
Christopher M. Farrell
Keyword(s):  
Data Visualization ◽  
Decision Makers ◽  
Multidimensional Data ◽  
Design Problems ◽  
Design Constraints ◽  
Performance Space ◽  
Multidimensional Data Visualization ◽  
Complex Design ◽  
Visualization Tools ◽  
The Impact

A potential source of uncertainty within multi-objective design problems can be the exact value of the underlying design constraints. This uncertainty will affect the resulting performance of the selected system commensurate with the level of risk that decision-makers are willing to accept. This research focuses on developing visualization tools that allow decision-makers to specify uncertainty distributions on design constraints and to visualize their effects in the performance space using multidimensional data visualization methods to solve problems with high orders of computational complexity. These visual tools will be demonstrated using an example portfolio design scenario in which the goal of the design problem is to maximize the performance of a portfolio with an uncertain budget constraint.

scholarly journals Graph structures for data visualizations

2021 ◽  
Vol 6 (2) ◽  
pp. 24-31
Author(s):  
Stefana Janićijević ◽  
Vojkan Nikolić
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Data Types ◽  
Current State ◽  
Graph Structures ◽  
Big Data Visualization ◽  
Visualization Tools ◽  
Graph System ◽  
Data Visualizations

Networks are all around us. Graph structures are established in the core of every network system therefore it is assumed to be understood as graphs as data visualization objects. Those objects grow from abstract mathematical paradigms up to information insights and connection channels. Essential metrics in graphs were calculated such as degree centrality, closeness centrality, betweenness centrality and page rank centrality and in all of them describe communication inside the graph system. The main goal of this research is to look at the methods of visualization over the existing Big data and to present new approaches and solutions for the current state of Big data visualization. This paper provides a classification of existing data types, analytical methods, techniques and visualization tools, with special emphasis on researching the evolution of visualization methodology in recent years. Based on the obtained results, the shortcomings of the existing visualization methods can be noticed.

scholarly journals 2D Data Visualization Tools Menggunakan Flask dan AngularJS

2020 ◽  
Vol 2 (2) ◽  
pp. 91-97
Author(s):  
JERRYL JEOVANO
Keyword(s):  
Data Visualization ◽  
Time Management ◽  
Volume Data ◽  
Stream Data ◽  
Data User ◽  
Data Volume ◽  
Visualization Tools ◽  
2D Data

Data merupakan bagian penting dari semua aplikasi. Namun seiring perkembangan aplikasi dan kecepatan stream data, volume data yang dihasilkan telah melebihi milyaran data. Semakin besar volume data, maka semakin sulit juga data tersebut dianalisa. Tujuan pembuatan software ini untuk memvisualisasikan data user dari file yang diupload kepada sistem. Memudahkan tim analis untuk memprediksi dan memajukan sebuah usaha. Visualisasi data berjalan fleksibel, sehingga user dapat menentukan sendiri data pada bagian axis-axisnya. Pembuatan website ini menggunakan framework Flask yang berbasis pada bahasa pemrograman Python, database cassandra merupakam database nosql yang mana digunakan untuk penyimpanan data website ini. Sedangkan visualisasi, website ini menggunakan library DevExpress dan Google Chart yang berbasis AngularJS. AngularJS sendiri merupakan perluasan dari bahasa pemrograman HTML. Metodologi yang akan digunakan pada pembuatan website ini adalah Scrum. Prose pembuatan website ini dilakukan dalam 4 sprint. Masing-masing sprint dalam penelitian ini berlangsung dalam jangka waktu 14 hari. Dari hasil penelitian ini dapat disimpulkan bahwa penggunaan metode scrum untuk membuat web untuk visualisasi data berjalan dengan efektif karena dalam proses pembuatan web ini lebih terstruktur sehingga time management menjadi lebih efisien. Library DevExpress lebih mudah digunakan daripada menggunakan library Google Chart. Dalam menampilkan chart, library DevExpress hanya dapat menampilkan sebuah chart dalam satu halaman.

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