Google Visualization Api Essentials Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Google Visualization Api Essentials book. This book definitely worth reading, it is an incredibly well-written.
Google Visualization API Essentials by Traci L. Ruthkoski Pdf
This book is a step-by-step tutorial full of diagrams, core concept explanations, best practice tips, and links to working book examples. This book will show you how create web-ready data visualizations using Google’s infrastructure. Some HTML knowledge is the only requirement, although some JavaScript knowledge is also helpful.
Google Visualization API Essentials by Traci L. Ruthkoski Pdf
This book is a step-by-step tutorial full of diagrams, core concept explanations, best practice tips, and links to working book examples. This book will show you how create web-ready data visualizations using Google’s infrastructure. Some HTML knowledge is the only requirement, although some JavaScript knowledge is also helpful.
If you are an Ext JS or Sencha Touch developer, designer, or architect who wants to build enterprise-scale data visualization capabilities using Sencha, then this book is ideal for you. You should have a knowledge of HTML, JavaScript, CSS, and Sencha Ext JS or Sencha Touch fundamentals, in particular. Some familiarity with SVG and HTML5 Canvas would be preferred, but not required.
With Google Web Toolkit, Java developers can build sophisticated Rich Internet Applications (RIAs) and complete Web sites using the powerful IDEs and tools they already use. Now, with GWT 2, Google Web Toolkit has become even more useful. Essential GWT shows how to use this latest version of GWT to create production solutions that combine superior style, performance, and interactivity with exceptional quality and maintainability. Federico Kereki quickly reviews the basics and then introduces intermediate and advanced GWT skills, covering issues ranging from organizing projects to compiling and deploying final code. Throughout, he focuses on best-practice methodologies and design patterns. For example, you’ll learn how to use the MVP (model-view-presenter) pattern to improve application design and support automated testing for agile development. Kereki illuminates each concept with realistic code examples that help developers jump-start their projects and get great results more quickly. Working with the latest versions of open source tools such as Eclipse, Subversion, Apache, Tomcat, and MySQL, he demonstrates exactly how GWT fits into real Web development environments. Coverage includes Using the Google Plugin for Eclipse and the GWT Shell Script Detecting and working with browsers—and solving the problems they cause Building better user interfaces with the MVP pattern Using APIs for visualization, mapping, weather data, and more Internationalizing and localizing GWT code Securing GWT applications with cryptography, hashing, and encryption Testing with JUnit, Emma, GWTTestCase, Selenium, and Mock Objects Deploying client-only and client-plus-server GWT applications
Integrate Google Maps with your Android application to offer feature-rich and interactive maps About This Book Set up the development environment and obtain the Google API key to create your first map application Create a cutting edge Google maps application by implementing all the concepts learned A step-by-step tutorial guide that is full of pragmatic examples Who This Book Is For If you are an Android developer and want to integrate maps into your application, then this book is definitely for you. This book is intended for novice Android application developers who would like to get up and running with map rich applications using Google Maps. Some basic development experience would be helpful but it's not a mandate. What You Will Learn Get to know about the basic development environment setup needed to create a successful map application Generate an SHA1 fingerprint, obtain an API key, and create a basic map application Detect different types of maps and implement them in your application Add information to your map such as markers, overlays, information windows, and shapes Explore the interaction with maps and work with gestures Change the different camera views in your map application Work with real-time GPS location data and implementing it in your application Apply Street View and integrate the StreetViewPanoroma fragment to your application Employ the native Google maps application to solve some of the tasks using intents Create a cutting edge Google maps application by implementing all the concepts learned In Detail This book helps you to overcome the most common problems faced by users and helps you create a successful map application without any hassle. The book starts with a brief description of how to set up an environment and obtain an API key to create your map application. This book will teach you about adding markers, overlays, and information windows to the map in detail. You will then dive deep into customizing various types of maps and working with location data and Google Street view. By the end of this book, you will be able to create succinct map applications in Android using Google maps efficiently. Style and approach The book is tailored for the reader with a fundamental approach to Android Google Maps providing a step-by-step introduction to Android Google Maps. It focuses on simple, easy-to-understand examples that are pragmatic and serve as useful basis for real-world applications. Different topics are approached in a bottom-up fashion, gradually going from the simplest foundations to the most advanced features.
Mastering Gephi Network Visualization by Ken Cherven Pdf
This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.
JavaScript and jQuery for Data Analysis and Visualization by Jon Raasch,Graham Murray,Vadim Ogievetsky,Joseph Lowery Pdf
Go beyond design concepts—build dynamic datavisualizations using JavaScript JavaScript and jQuery for Data Analysis and Visualizationgoes beyond design concepts to show readers how to build dynamic,best-of-breed visualizations using JavaScript—the mostpopular language for web programming. The authors show data analysts, developers, and web designershow they can put the power and flexibility of modern JavaScriptlibraries to work to analyze data and then present it usingbest-of-breed visualizations. They also demonstrate the use of eachtechnique with real-world use cases, showing how to apply theappropriate JavaScript and jQuery libraries to achieve the desiredvisualization. All of the key techniques and tools are explained in thisfull-color, step-by-step guide. The companion website includes allsample codes used to generate the visualizations in the book, datasets, and links to the libraries and other resources covered. Go beyond basic design concepts and get a firm grasp ofvisualization approaches and techniques using JavaScript andjQuery Discover detailed, step-by-step directions for buildingspecific types of data visualizations in this full-color guide Learn more about the core JavaScript and jQuery libraries thatenable analysis and visualization Find compelling stories in complex data, and create amazingvisualizations cost-effectively Let JavaScript and jQuery for Data Analysis andVisualization be the resource that guides you through themyriad strategies and solutions for combining analysis andvisualization with stunning results.
EHealth2014 – Health Informatics Meets EHealth by A. Hörbst,D. Hayn,G. Schreier Pdf
It is generally accepted that information and communication technology has the potential to support high quality, high-tech medicine, but up to now healthcare has lagged behind other sectors, such as service industries, in the implementation of such technology. Medicine is now beginning to catch up, however, and the Austrian government recently agreed on the nationwide implementation of an Electronic Health Record (Elektronische Gesundheitsakte (ELGA))._x000D_ This book presents the proceedings of the 8th scientific eHealth conference, which is being held in Vienna, Austria, in the context of the eHealth Summit Austria, in April 2014. The theme of the conference is "Outcomes Research: The Benefit of Health-IT", addressing the challenges which will inevitably accompany the new opportunities offered by the increased use of ICT in healthcare. The history of technologies making the transition from the laboratory into practice is one of mixed success. It is vital to understand what makes such an implementation a positive one, and factors such as the needs, fears, and context of potential users are as important as a sound technical implementation. Priorities may need to be rethought and new dimensions added._x000D_ The book will be of interest to all those considering the effect of new technologies and eHealth on the provision of healthcare systems, and seeking to achieve services which are both technically and organizationally sound and which will also efficiently deliver noticeable benefits for users.
Python Data Visualization Essentials Guide by Kallur Rahman Pdf
Build your data science skills. Start data visualization Using Python. Right away. Become a good data analyst by creating quality data visualizations using Python. KEY FEATURES ● Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. ● Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. ● Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining. DESCRIPTION Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert. The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas. The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. WHAT YOU WILL LEARN ● Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly. ● Practice your data visualization understanding across numerous datasets and real examples. ● Learn to visualize geospatial and time-series datasets. ● Perform correlation and EDA analysis using Pandas and Matplotlib. ● Get to know storytelling of complex and unstructured data using Bokeh and Pandas. ● Learn best practices in writing clean and short python scripts for a quicker visual summary of datasets. WHO THIS BOOK IS FOR This book is for all data analytics professionals, data scientists, and data mining hobbyists who want to be strong data visualizers by learning all the popular Python data visualization libraries. Prior working knowledge of Python is assumed. TABLE OF CONTENTS 1. Introduction to Data Visualization 2. Why Data Visualization 3. Various Data Visualization Elements and Tools 4. Using Matplotlib with Python 5. Using NumPy and Pandas for Plotting 6. Using Seaborn for Visualization 7. Using Bokeh with Python 8. Using Plotly, Folium, and Other Tools for Data Visualization 9. Hands-on Examples and Exercises, Case Studies, and Further Resources
Data Analytics by Juan J. Cuadrado-Gallego,Yuri Demchenko Pdf
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field.
Essential Statistics for Non-STEM Data Analysts by Rongpeng Li Pdf
Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programming Key FeaturesWork your way through the entire data analysis pipeline with statistics concerns in mind to make reasonable decisionsUnderstand how various data science algorithms functionBuild a solid foundation in statistics for data science and machine learning using Python-based examplesBook Description Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks. The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning. By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals. What you will learnFind out how to grab and load data into an analysis environmentPerform descriptive analysis to extract meaningful summaries from dataDiscover probability, parameter estimation, hypothesis tests, and experiment design best practicesGet to grips with resampling and bootstrapping in PythonDelve into statistical tests with variance analysis, time series analysis, and A/B test examplesUnderstand the statistics behind popular machine learning algorithmsAnswer questions on statistics for data scientist interviewsWho this book is for This book is an entry-level guide for data science enthusiasts, data analysts, and anyone starting out in the field of data science and looking to learn the essential statistical concepts with the help of simple explanations and examples. If you’re a developer or student with a non-mathematical background, you’ll find this book useful. Working knowledge of the Python programming language is required.
The Essential Criteria of Graph Databases by Ricky Sun Pdf
Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers’ interest in further broaden the reach and applicable domains of graph systems. Presents updates on the essential criteria of graph database(s) and how they are quite different from traditional relational database or other types of NoSQL DBMS or any of those big-data frameworks (i.e., Hadoop, Spark, etc.) Clearly points out the key criteria that readers should pay attention to Teaches users how to avoid common mistakes and how to get hands-on with system architecture design, benchmarking or selection of an appropriate graph platform/vendor-system
A Hands-On Introduction to Essential Python Libraries and Frameworks (With Code Samples) by Murat Durmus Pdf
Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know. "Python is not just a language, it's a community where developers can learn, collaborate and create wonders." ~ Guido van Rossum (Creator of Python)
Supercharged JavaScript Graphics by Raffaele Cecco Pdf
Thanks to improved Web browser support and the advent of HTML5, JavaScript now plays a major role in programming high-performance Web graphics. This hands-on book shows programmers how to create rich Web applications for big-screen computers and small-screen mobile devices.