Can I read Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society) on EtoBox?

Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society) by Robert Grant; American Statistical Association is a nonfiction available to read on EtoBox.

What is Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society) about?

This is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: • Focusses on concepts and ways of thinking about data rather than algebra or computer code. • Features 17 short chapters that can be read in one sitting. • Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. • Contains more than 125 visualizations, most created by the author. • Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on craf

Who reads Data Visualization: Charts, Maps, and Interactive Graphics (ASA-CRC Series on Statistical Reasoning in Science and Society)?

Author

Robert Grant; American Statistical Association

Publisher

CRC Press is an imprint of the Taylor & Francis Group, an informa business

Published

2019

Language

EN

ISBN

9781351781749

Category

nonfiction

Subjects

Mathematics, Engineering, Computer Science