eBook Data Visualization and Statistical Literacy for Open and Big Data, 1st Edition

  • Theodosia Prodromou
  • Published By:
  • ISBN-10: 1522525130
  • ISBN-13: 9781522525134
  • DDC: 005.7
  • 365 Pages | eBook
  • Original Copyright 2017 | Published/Released July 2017
  • This publication's content originally published in print form: 2017
  • Price:  Sign in for price



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. This book 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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Data Mining and Database Management (ADMDM) Book Series.
Titles in this Series.
Table of Contents.
Detailed Table of Contents.
Teaching Big and Open Data.
1: Data Visualisation and Statistics Education in the Future.
2: Open Data in Australian Schools: Taking Statistical Literacy and the Practice of Statistics Across the Curriculum.
3: Visual Criminology: Making Sense of Crime Data and Analysis for Criminology Students.
4: Opportunities and Challenges of Visualization and Open Data in Food Security Analysis.
Using Big Data.
5: Teaching Visualisation in the Age of Big Data: Adopting Old Approaches to Address New Challenges.
6: Comparison of Graduates’ and Academics’ Perceptions of the Skills Required for Big Data Analysis: Statistics Education in the Age of Big Data.
7: Excel-lence in Data Visualization? The Use of Microsoft Excel for Data Visualization and the Analysis of Big Data.
8: Teachers Analyzing Sampling With TinkerPlots: Insights for Teacher Education.
Gathering and Processing Big Data.
9: Visualising Big Data for Official Statistics: The ABS Experience.
10: Big Data Techniques for Supporting Official Statistics: The Use of Web Scraping for Collecting Price Data.
11: Big Data in Official Statistics.
12: Linked Open Statistical Metadata.
Compilation of References.
About the Contributors.