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"visualization"
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Making data visualization more efficient and effective: a survey
2020
Data visualization is crucial in today’s data-driven business world, which has been widely used for helping decision making that is closely related to major revenues of many industrial companies. However, due to the high demand of data processing w.r.t. the volume, velocity, and veracity of data, there is an emerging need for database experts to help for efficient and effective data visualization. In response to this demand, this article surveys techniques that make data visualization more efficient and effective. (1) Visualization specifications define how the users can specify their requirements for generating visualizations. (2) Efficient approaches for data visualization process the data and a given visualization specification, which then produce visualizations with the primary target to be efficient and scalable at an interactive speed. (3) Data visualization recommendation is to auto-complete an incomplete specification, or to discover more interesting visualizations based on a reference visualization.
Journal Article
SRplot: A free online platform for data visualization and graphing
by
Huang, Xinhua
,
Wu, Shangjie
,
Zhang, Guicheng
in
Analysis
,
Bioinformatics
,
Biology and Life Sciences
2023
Graphics are widely used to provide summarization of complex data in scientific publications. Although there are many tools available for drawing graphics, their use is limited by programming skills, costs, and platform specificities. Here, we presented a freely accessible easy-to-use web server named SRplot that integrated more than a hundred of commonly used data visualization and graphing functions together. It can be run easily using all Web browsers and there are no strong requirements on the computing power of users’ machines. With a user-friendly graphical interface, users can simply paste the contents of the input file into the text box according to the defined file format. Modification operations can be easily performed, and graphs can be generated in real-time. The resulting graphs can be easily downloaded in bitmap (PNG or TIFF) or vector (PDF or SVG) format in publication quality. The website is updated promptly and continuously. Functions in SRplot have been improved, optimized and updated depend on feedback and suggestions from users. The graphs prepared with SRplot have been featured in more than five hundred peer-reviewed publications. The SRplot web server is now freely available at http://www.bioinformatics.com.cn/SRplot .
Journal Article
From chaos to clarity : how data visualization can save the world
\"The world is flooded in data. Rather than bringing clarity to the world, this deluge of data has made the world more complicated and difficult to understand. It has also potentially made the world more dangerous. We are living in a world where humanity is so overwhelmed and saturated with data that amidst the confusion lies misinformation, false narratives and geopolitical political risk that could threaten global security and financial markets. Ironically, the solution may still require data, but it needs to be rooted in human intuition and human intelligence. The answer lies in data visualisation.\"-- Provided by publisher.
ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data
2021
We present the ggtreeExtra package for visualizing heterogeneous data with a phylogenetic tree in a circular or rectangular layout (https://www.bioconductor.org/packages/ggtreeExtra). The package supports more data types and visualization methods than other tools. It supports using the grammar of graphics syntax to present data on a tree with richly annotated layers and allows evolutionary statistics inferred by commonly used software to be integrated and visualized with external data. GgtreeExtra is a universal tool for tree data visualization. It extends the applications of the phylogenetic tree in different disciplines by making more domain-specific data to be available to visualize and interpret in the evolutionary context.
Journal Article