[PDF] Overview of Data Visualization | Semantic Scholar (2024)

With the combination of some known methods, a new algorithm to do 4 dimensional data visualization is presented and a program project plan about it is presented, and some issues and explanations around it are presented.

The purpose of this research concerns the integration between Human-Computer Interaction and Data Visualization to increase users’ awareness of issues of public interest and which HCI methodologies can be useful to design and validate systems that can become effective tools to support communities of users in decision-making processes about issues such as sustainability.

Insight is provided into data visualization selection literature, as well as how a Delphi process can be implemented to assist the design of public health dashboards is shown.

This study identified the most appropriate machine learning algorithm to analyze the collected data from sources specialized in crime prevention, which helps the institutions against crime to better predict and classify it.

A solution was implemented using the Lean Information Management and the Microsoft Power BI tool to provide the main participants of the process with a set of key performance indicators, through data visualization in a structured, simple, appealing, and intuitive way.

The proposed research concentrates on customized data visualization techniques that have been developed in order to store the data and also enhance the data security which will give an additional strength to the Cloud Computing Platforms like AWS and Google Cloud where the customers can feel that their data is in safe hands.

The dashboard has been successfully used for four consecutive semesters at the program level, proving to be an effective tool for facilitating the exam question moderation process.

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Practical practitioners, developers, teachers and students as well as those interested in gaining some exposure to the field will get an in-depth understanding of visualization techniques and are provided with sufficient information, often with full source code, to complete an implementation.

The graphic representation of quantitative information has deep roots that reach into the histories of the earliestmap making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine and other fields.

This paper presents a meta-anatomy of human interaction in the context of data mapping, which aims to provide a scaffolding for future generations to think and act in a more holistic way.

The purpose of this piece of document is to collect all visualization techniques with their brief introduction to form a guide for the young researchers who wants to start work in visualization.

This paper considers visualization from multiple points of view: a technological viewpoint is adopted, where the value of visualization is measured based on effectiveness and efficiency, and an economic model of visualize is presented and benefits and costs are established.

The top 10 unsolved problems list described in this article is a revised and extended version of information visualization problems, highlighting issues from a user-centered perspective and technical challenges in nature.

Using the actual visual artefacts in visualisation as opposed to representing them by graphical primitives helps the researcher to understand meaning and/or cause behind the patterns she may observe, as well as discover additional patterns.

The tree-map visualization technique makes 100% use of the available display space, mapping the full hierarchy onto a rectangular region in a space-filling manner, which allows very large hierarchies to be displayed in their entirety and facilitates the presentation of semantic information.

The purpose of this paper is to provide a description of the process of modeling and, based upon theories of cognition, show how visualization can assist in developing and assessing computational models for very large, high dimensional data sets.

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