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Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text;
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structure, which means you can better comprehend the meaning of your data. And visual data is easier for everyone to understand;
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created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data;
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designed well, data visualizations help us make sense of data and communicate our insights better. Bringing a clear classroom teaching style;
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, and other professionals looking to better understand and communicate with data;
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Master the art of building responsive visualizations on the Web About This Book * Learn the techniques for building data;
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Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features;
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Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3 About This Book * Learn;
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Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios About;
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Are you looking for a better approach to data visualization? Learn what tools SAP Lumira, discovery edition gives you to create interactive;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic;
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better understanding of the data * Understand ways to produce good visualizations and create reports for the results * Read and write data from;
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Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this;
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Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About;
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Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use;
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Illustrate your data in a more interactive and interesting way using Tableau Public About This Book * Learn the basics of creating;
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Not a data expert? Here's an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data;
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create matrices to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to;
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Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using;
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of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from;
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Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;
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data sources with Redash Key Features Learn the best use of visualizations to build powerful interactive dashboards Create and share;
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Build attractive, insightful, and powerful visualizations to gain quality insights from your data Key Features Master Matplotlib for data;
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Breathe life into your data by learning how to use D3.js V4 to visualize information About This Book * Create complex visualizations;
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R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer;
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