Data Visualization and Statistical Literacy for Open and Big Data

  • 6h 49m
  • Theodosia Prodromou
  • IGI Global
  • 2017

Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations.

Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.

About the Author

Theodosia Prodromou is a Cypriot-Australian mathematician, statistician and mathematics educator, who joined the University of New England in July 2009 to lecture in Mathematics Education. She taught primary and secondary Mathematics in different countries of Europe, and Australia. She has experience of teaching mathematics education to pre-service teachers and in-service teachers within primary and secondary and post-graduate programs. She is involved in European and International funded or unfunded projects. She is a chair of the Australian GeoGebra Institute.

In this Book

  • Data Visualisation and Statistics Education in the Future
  • Open Data in Australian Schools: Taking Statistical Literacy and the Practice of Statistics Across the Curriculum
  • Visual Criminology: Making Sense of Crime Data and Analysis for Criminology Students
  • Opportunities and Challenges of Visualization and Open Data in Food Security Analysis
  • Teaching Visualisation in the Age of Big Data: Adopting Old Approaches to Address New Challenges
  • Comparison of Graduates' and Academics' Perceptions of the Skills Required for Big Data Analysis: Statistics Education in the Age of Big Data
  • Excel-lence in Data Visualization? The Use of Microsoft Excel for Data Visualization and the Analysis of Big Data
  • Teachers Analyzing Sampling With TinkerPlots: Insights for Teacher Education
  • Visualising Big Data for Official Statistics: The ABS Experience
  • Big Data Techniques for Supporting Official Statistics: The Use of Web Scraping for Collecting Price Data
  • Big Data in Official Statistics
  • Linked Open Statistical Metadata


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