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Data Visualisation 2nd Edition Ebook by Andy Kirk Free Shipping

Description: Free eBay listing template designed by dewiso.com Data Visualisation A Handbook for Data-Driven Design by Andy Kirk, 2019 Winner of the "Printed Information Resource 2020" award from the Knowledge & Information Management Group, part of The Chartered Association of Library & Information Professionals (CILIP) (UK) Prepares scholars and students to understand how to create effective data visualizations. Features and further details Additional Features: This handbook provides conceptual and practical guidance, it comprises three main sections ( A, B, and C) which focus on 10 chapters and Epilogue. Part A focus on the fundamentals of comprehending data visualization, part B talks about the first 3 stages of the data visualization design process and part C talks about the five distinct layers of the data visualization anatomy! Details: Provides over 200 images and information and extensive how-not-examples Package Includes: One E-book send via email. Contact us We can be contacted at any time through eBay messages if you have any questions, comments, or product requests. We will respond to you within 24 hours and do our best to help you out! We encourage our customers to contact us with any questions or concerns! We'd like to be sure you are completely satisfied with your purchase. Payment $29.99 Shipping Free Shipping Disclaimer No return policy, however, if you have any problems or concerns please contact us Free eBay listing template designed by © dewiso.com.

Price: 29.99 USD

Location: Wayne, New Jersey

End Time: 2024-05-09T14:10:05.000Z

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Data Visualisation 2nd Edition Ebook by Andy Kirk Free ShippingData Visualisation 2nd Edition Ebook by Andy Kirk Free Shipping

Item Specifics

All returns accepted: ReturnsNotAccepted

Publication Year: 2019

Type: Textbook

Format: Ebook

Subject Area: data visualisation

Publication Name: SAGE Publications

Author: Andy Kirk

Educational Level: Adult & Further Education

Level: Beginner, Intermediate

Subject: data visualisation, information technology, data, Computer Science

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