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What is Visual Analytics

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
The use of visual representations, such as graphs and charts, to facilitate data exploration and analysis.
Published in Chapter:
Interdisciplinary Application of Machine Learning, Data Science, and Python for Cricket Analytics
Haseeb Imdad (National Textile University, Pakistan) and Haseeb Ahmad (National Textile University, Pakistan)
DOI: 10.4018/978-1-6684-8696-2.ch002
Abstract
The chapter explores the use of machine learning, data science, and Python in the context of cricket analytics. It highlights the importance of interdisciplinary collaboration and its potential to enhance the accuracy and speed of cricket analytics. It discusses the various data sources that can be used for cricket analytics and how machine learning algorithms can extract valuable insights. The chapter also provides an overview of various Python libraries commonly used in cricket analytics and explains how they can be used for data cleaning, feature engineering, and model building. Additionally, the chapter discusses the challenges and limitations of cricket analytics and provides suggestions for future research directions.
Full Text Chapter Download: US $37.50 Add to Cart
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Visualization: Future Technology and Practices for Computational Science and Engineering
Provides visual interfaces to large repositories of data by combining information visualization with human factors and data analysis to support decision making.
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Teaching and Using Analytics in Management Education
The process for analyzing large, disparate databases using visual interfaces.
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Big Data Visualization of Association Rules and Frequent Patterns
An interdisciplinary area that integrates data science, data mining and data visualization. It deals with information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.
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Learning Analytics
A type of information analytics that relies the last step of the analysis (the sense making process) in the human being. This is achieved by the visual representation of the data that allows humans to easily recognise patterns and make conclusions that are difficult to achieve by computers.
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Advanced Analytics for Big Data
The science of analytical reasoning facilitated by interactive visual interfaces.
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