scholarly journals DATA VISUALIZATION TOOLS FOR CONFOUNDING AND SELECTION BIAS IN LONGITUDINAL DATA: THE %LENGTHEN, %BALANCE, AND %MAKEPLOT (CONFOUNDR) MACROS AND R PACKAGE

2020 ◽  
Vol 189 (12) ◽  
pp. 1633-1636
Author(s):  
Erin M Schnellinger ◽  
Linda Valeri ◽  
John W Jackson
Keyword(s):  
Longitudinal Data ◽  
Selection Bias ◽  
Data Visualization ◽  
R Package ◽  
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 suddengains: An R package to identify sudden gains in longitudinal data

PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0230276 ◽  
Author(s):  
Milan Wiedemann ◽  
Graham R. Thew ◽  
Richard Stott ◽  
Anke Ehlers
Keyword(s):  
Longitudinal Data ◽  
R Package ◽  
Sudden Gains

scholarly journals Comparison of visualization tools for single-cell RNAseq data

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Batuhan Cakir ◽  
Martin Prete ◽  
Ni Huang ◽  
Stijn van Dongen ◽  
Pinar Pir ◽  
...  
Keyword(s):  
Single Cell ◽  
R Package ◽  
Data Format ◽  
Interactive Analysis ◽  
Rnaseq Data ◽  
Scientific Report ◽  
Visualization Tools ◽  
Time Required ◽  
User Friendly ◽  
The Web

Abstract In the last decade, single cell RNAseq (scRNAseq) datasets have grown in size from a single cell to millions of cells. Due to its high dimensionality, it is not always feasible to visualize scRNAseq data and share it in a scientific report or an article publication format. Recently, many interactive analysis and visualization tools have been developed to address this issue and facilitate knowledge transfer in the scientific community. In this study, we review several of the currently available scRNAseq visualization tools and benchmark the subset that allows to visualize the data on the web and share it with others. We consider the memory and time required to prepare datasets for sharing as the number of cells increases, and additionally review the user experience and features available in the web interface. To address the problem of format compatibility we have also developed a user-friendly R package, sceasy, which allows users to convert their own scRNAseq datasets into a specific data format for visualization.

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 Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Christian Bender ◽  
Silvia vd Heyde ◽  
Frauke Henjes ◽  
Stefan Wiemann ◽  
Ulrike Korf ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
R Package

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.

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