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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Human-Computer Interaction > Information Visualisation
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Information Visualisation

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  • Hands-On Data Visualization with Bokeh : Interactive web plotting for Python using Bokeh - Kevin Jolly
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  • Mastering Spark with R : The Complete Guide to Large-Scale Analysis and Modeling - Javier Luraschi
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  • Hands-On Data Analysis with NumPy and pandas : Implement Python packages from data manipulation to processing - Curtis Miller
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  • Apache Superset Quick Start Guide : Develop interactive visualizations by creating user-friendly dashboards - Shashank Shekhar
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  • Acting with Technology : Activity Theory and Interaction Design - Victor Kaptelinin
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  • R Graphics Cookbook : Practical Recipes for Visualizing Data - Winston Chang
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    Winston Chang
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  • Microsoft Power BI Quick Start Guide : Build dashboards and visualizations to make your data come to life - Devin Knight
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  • arc42 by Example : Software architecture documentation in practice - Dr. Gernot Starke
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  • Mapping the Nation : History and Cartography in Nineteenth-Century America - Susan Schulten
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  • Deep Learning with Keras : Beginner's Guide to Deep Learning with Keras - Frank Millstein
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    Frank Millstein
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  • Taking [A]part : The Politics and Aesthetics of Participation in Experience-Centered Design - John McCarthy
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    Jevin D. West and Carl T. Bergstrom
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    Jonas Lowgren and Bo Reimer
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  • Simulation and Its Discontents : Simplicity: Design, Technology, Business, Life - Sherry Turkle
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  • Statistical Application Development with R and Python - Second Edition : Software Implementation Illustrated with R and Python - Prabhanjan Narayanachar Tattar
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  • Mastering Bitcoin For Absolute Beginners The Ultimate Guide To Bitcoin And The Future - Robert Akiyama
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    Robert Akiyama
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  • Machine Learning Pocket Reference : Working with Structured Data in Python - Matt Harrison
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  • Positive Computing : Technology for Wellbeing and Human Potential - Rafael A. Calvo
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  • Data Wrangling with Python : Creating actionable data from raw sources - Shubhadeep Roychowdhury Dr. Tirthajyoti Sarkar
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    Shubhadeep Roychowdhury Dr. Tirthajyoti Sarkar
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  • Machine Learning for Beginners : An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work - Steven Cooper
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    Steven Cooper
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  • Interactive Web-Based Data Visualization with R, plotly, and shiny : Chapman & Hall/CRC The R Series - Carson Sievert
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    Chapman & Hall/CRC The R Series
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  • Applied Data Science with Python and Jupyter : Use powerful industry-standard tools to unlock new, actionable insights from your data - Alex Galea
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    Alex Galea
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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
    Deep Learning Cookbook
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  • Tableau 2019.x Cookbook : Over 115 recipes to build end-to-end analytical solutions using Tableau - Dmitry Anoshin
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    Dmitry Anoshin
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  • Designing Effective Digital Badges : Applications for Learning - Joey R. Fanfarelli
    Designing Effective Digital Badges
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  • D3.js : Cutting-edge Data Visualization - Ændrew H. Rininsland
    D3.js
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    Ændrew H. Rininsland, Michael Heydt and Pablo Navarro Castillo
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  • The Accidental Data Scientist : Big Data Applications and Opportunities for Librarians and Information Professionals - Amy Affelt
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  • Hands-On Data Analysis with Scala : Perform data collection, processing, manipulation, and visualization with Scala - Rajesh Gupta
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  • Precision Motion Systems : Modeling, Control, and Applications - Jian Liang
    Precision Motion Systems
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    Jian Liang, Bindi You, Deqing Huang, Si-Lu Chen and Lei Liu
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  • Control Applications for Biomedical Engineering Systems - Ahmad Taher Azar
    Control Applications for Biomedical Engineering Systems
    Ahmad Taher Azar
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  • Advanced Analytics with R and Tableau : Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R - Ruben Oliva Ramos Jen Stirrup
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  • QlikView: Advanced Data Visualization : Discover deeper insights with Qlikview by building your own rich analytical applications from scratch - Miguel Angel Garcia
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  • Mastering Machine Learning with Spark 2.x : Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial - Alex Tellez
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  • Making Sense of Field Research : A Practical Guide for Information Designers - Sheila Pontis
    Making Sense of Field Research
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    Sheila Pontis
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  • Connected Code : Why Children Need to Learn Programming - Yasmin B. Kafai
    Connected Code
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  • D3 for the Impatient : Interactive Graphics for Programmers and Scientists - Philipp K. Janert
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    Philipp K. Janert
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  • Digital Image Watermarking : Theoretical and Computational Advances - Surekha Borra
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    Surekha Borra, Rohit Thanki and Nilanjan Dey
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  • Hands-On Exploratory Data Analysis with R : Become an expert in exploratory data analysis using R packages - Radhika Datar
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    Radhika Datar and Harish Garg
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  • What Every Manager Should Know About Big Data and Data Science - Lars Nielsen
    What Every Manager Should Know About Big Data and Data Science
    Lars Nielsen, Noreen Burlingame and Robert Masters
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  • Self-Tracking : The MIT Press Essential Knowledge series - Gina Neff
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  • Practical Data Science with SAP : Machine Learning Techniques for Enterprise Data - Greg Foss
    Practical Data Science with SAP
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    Greg Foss and Paul Modderman
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  • Getting Started with Tableau 2019.2 : Effective data visualization and business intelligence with the new features of Tableau 2019.2, 2nd Edition - Tristan Guillevin
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    Tristan Guillevin
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  • Ambient Commons : Attention in the Age of Embodied Information - Malcolm McCullough
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    Malcolm McCullough
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