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Learning Highcharts
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Download or read book Learning Highcharts 4 written by Joe Kuan and published by Packt Publishing Ltd. This book was released on 2015-01-23 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is aimed at all levels of readers. Beginners can learn the basic configurations and step-by-step approaches in creating charts or Highcharts cloud. For intermediate and advanced readers, the book explores the APIs, events, server-side operations and plugins.
Book Synopsis Highcharts Essentials by : Bilal Shahid
Download or read book Highcharts Essentials written by Bilal Shahid and published by Packt Publishing Ltd. This book was released on 2014-10-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a web developer with a basic knowledge of HTML, CSS, and JavaScript and want to quickly get started with this web charting technology, this is the book for you. This book will also serve as an essential guide to those who have probably used a similar library and are now looking at migrating to Highcharts.
Book Synopsis Instant Highcharts by : Cyril Grandjean
Download or read book Instant Highcharts written by Cyril Grandjean and published by Packt Publishing Ltd. This book was released on 2013-01-01 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. Instant Highcharts Starter has a step-by-step approach to help you understand the core concepts of different types of Highcharts and create your own customized charts.Instant Highcharts Starter is for web developers who are new to the Highcharts library and looking to create their own charts in their webpages. You should have some experience with the JavaScript library. You should know how to develop a server-side language such as PHP to create dynamic Highcharts.
Book Synopsis Practical Highcharts with Angular by : Sourabh Mishra
Download or read book Practical Highcharts with Angular written by Sourabh Mishra and published by Apress. This book was released on 2020-03-24 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highcharts is a popular charting product that provides stunning animated and interactive charts. This concise book examines data analysis and construct the right graph. Nowadays, charting is used by the finance, education, entertainment, sports and real estate sectors to analyse their data. Built on top of of modern Javascript frameworks like jQuery and Angular, Highcharts enables developers to easily construct charts that will work in all modern browsers with pure knowledge of HTML, CSS, and JavaScript. You'll see how to use Highcharts, call backend services for data, and easily construct real-time data dashboards. You'll also learn how you can club your code with jQuery and Angular. This book provides the best solutions for real-time challenges and covers a wide range of charts including line, area, maps, plot, different types of pie chart, Gauge, heat map, Histogram chart, stacked bar, scatter plot and 3D Charts. After reading this book, you'll be able to export your charts in different formats for project-based learning. What You'll Learn Basics of Angular, consuming service through angular and implement highcharts using Angular. Use and export different chart types Work on a real-time data project calling Web API and Ajax calls through the various data sources using Angular. Create interactive styling themes and colors for a dashboard Who This Book Is For Developers, tech leads, architects or students with basic knowledge of HTML, CSS, and JavaScript who want to develop high performing, stunning, smooth, and interactive animated charts for your web products.
Book Synopsis Beginning JavaScript Charts by : Fabio Nelli
Download or read book Beginning JavaScript Charts written by Fabio Nelli and published by Apress. This book was released on 2014-01-24 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning JavaScript Charts shows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts. This book is suitable for developers of all experience levels and needs: for those who love fast and effective solutions, you can use the jqPlot library to generate charts with amazing effects and animations using only a few lines of code; if you want more power and need to create data visualization beyond traditional charts, then D3 is the JavaScript library for you; finally, if you need a high-performance, professional solution for interactive charts, then the Highcharts library is also covered. If you are an experienced developer and want to take things further, then Beginning JavaScript Charts also shows you how to develop your own graphics library starting from scratch using jQuery. At the end of the book, you will have a good knowledge of all the elements needed to manage data from every possible source, from high-end scientific instruments to Arduino boards, from PHP SQL databases queries to simple HTML tables, and from Matlab calculations to reports in Excel. You will be able to provide cutting-edge charts exploiting the growing power of modern browsers. Create all kinds of charts using the latest technologies available on browsers (HTML5, CSS3, jQuery, jqPlot, D3, Highcharts, and SVG) Full of step-by-step examples, Beginning JavaScript Charts introduces you gradually to all aspects of chart development, from the data source to the choice of which solution to apply. This book provides a number of tools that can be the starting point for any project requiring graphical representations of data, whether using commercial libraries or your own
Book Synopsis Hands-On Data Visualization by : Jack Dougherty
Download or read book Hands-On Data Visualization written by Jack Dougherty and published by O'Reilly Media. This book was released on 2021-04-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Book Synopsis Advances in Human Factors in Training, Education, and Learning Sciences by : Waldemar Karwowski
Download or read book Advances in Human Factors in Training, Education, and Learning Sciences written by Waldemar Karwowski and published by Springer. This book was released on 2019-06-01 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of human factors in optimizing the learning and training process. It reports on the latest research and best practices and discusses key principles of behavioral and cognitive science, which are extremely relevant to the design of instructional content and new technologies to support mobile and multimedia learning, virtual training and web-based learning, among others, as well as performance measurements, social and adaptive learning and many other types of educational technologies, with a special emphasis on those important in the corporate, higher education, and military training contexts. Based on the AHFE 2019 Conference on Human Factors in Training, Education, and Learning Sciences, held on July 24-28, 2019, in Washington D.C., USA, the book offers a timely perspective on the role of human factors in education. It highlights important new ideas and will fosters new discussions on how to optimally design learning experiences.
Book Synopsis Learning Tableau by : Joshua N. Milligan
Download or read book Learning Tableau written by Joshua N. Milligan and published by Packt Publishing Ltd. This book was released on 2015-04-27 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data visually. Some familiarity with databases and data structures is helpful, but not required.
Book Synopsis Reproducible Finance with R by : Jonathan K. Regenstein, Jr.
Download or read book Reproducible Finance with R written by Jonathan K. Regenstein, Jr. and published by CRC Press. This book was released on 2018-09-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.
Book Synopsis Learning Google Analytics by : Mark Edmondson
Download or read book Learning Google Analytics written by Mark Edmondson and published by "O'Reilly Media, Inc.". This book was released on 2022-11-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations. Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them. You'll learn: How Google Cloud integrates with GA4 The potential use cases that GA4 integrations can enable Skills and resources needed to create GA4 integrations How much GA4 data capture is necessary to enable use cases The process of designing dataflows from strategy though data storage, modeling, and activation
Download or read book Learn Ionic 2 written by Joyce Justin and published by Apress. This book was released on 2017-04-13 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore key scenarios required for building quality Ionic apps quickly and easily and bring them to the iOS and Android mobile ecosystem. Learn Ionic 2 explains various techniques to quickly integrate third-party back end systems. With this short guide, you'll benefit from practical examples of implementing authentication and authorization, connecting to social media, integrating with payment gateway, and analytics integration. This book presents solutions to the challenges faced during the development process of these tasks. Validation is essential to the survival and eventual success of any startup. You validate your business idea by placing a product in the hands of your customers and getting them to interact with it. The Ionic framework makes this possible. What You'll Learn: Master end-to-end hybrid application development Create user management modules including signup, login, and forgotten passwords Use analytics to evaluate an application using Ionic Framework Who This Book Is For: Tech entrepreneurs and businessmen with ideas
Book Synopsis Geographical Information Systems Theory, Applications and Management by : Cédric Grueau
Download or read book Geographical Information Systems Theory, Applications and Management written by Cédric Grueau and published by Springer. This book was released on 2017-07-08 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes extended, revised and selected contributions from the Second International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2016, held in Rome, Italy, in April 2016. The 10 papers presented in this volume were carefully reviewed and selected from a total of 33 submissions. They contribute to the understanding of relevant trends of current research on the topic, including urban and regional planning; water information systems; geospatial information and technologies; spatio-temporal database management; decision support systems; energy information systems; GPS, and location detection.
Book Synopsis Learning WCF by : Michele Leroux Bustamante
Download or read book Learning WCF written by Michele Leroux Bustamante and published by "O'Reilly Media, Inc.". This book was released on 2007 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-use introduction to the Microsoft Windows Communication Foundation removes the complexity of using the API by providing detailed answers, explanations, and code samples to the most common questions asked by software developers.
Book Synopsis Nested algorithms for optimal reservoir operation and their embedding in a decision support platform by : Blagoj Delipetrev
Download or read book Nested algorithms for optimal reservoir operation and their embedding in a decision support platform written by Blagoj Delipetrev and published by CRC Press. This book was released on 2020-04-30 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reservoir operation is a multi-objective optimization problem, and is traditionally solved with dynamic programming (DP) and stochastic dynamic programming (SDP) algorithms. The thesis presents novel algorithms for optimal reservoir operation, named nested DP (nDP), nested SDP (nSDP), nested reinforcement learning (nRL) and their multi-objective (MO) variants, correspondingly MOnDP, MOnSDP and MOnRL. The idea is to include a nested optimization algorithm into each state transition, which reduces the initial problem dimension and alleviates the curse of dimensionality. These algorithms can solve multi-objective optimization problems, without significantly increasing the algorithm complexity or the computational expenses. It can additionally handle dense and irregular variable discretization. All algorithms are coded in Java and were tested on the case study of the Knezevo reservoir in the Republic of Macedonia. Nested optimization algorithms are embedded in a cloud application platform for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed, interoperable, and it creates a real-time multiuser collaboration platform. This thesis contributes with new and more powerful algorithms for an optimal reservoir operation and cloud application platform. All source codes are available for public use and can be used by researchers and practitioners to further advance the mentioned areas.
Book Synopsis F# for Machine Learning Essentials by : Sudipta Mukherjee
Download or read book F# for Machine Learning Essentials written by Sudipta Mukherjee and published by Packt Publishing Ltd. This book was released on 2016-02-25 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up and running with machine learning with F# in a fun and functional way About This Book Design algorithms in F# to tackle complex computing problems Be a proficient F# data scientist using this simple-to-follow guide Solve real-world, data-related problems with robust statistical models, built for a range of datasets Who This Book Is For If you are a C# or an F# developer who now wants to explore the area of machine learning, then this book is for you. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage. What You Will Learn Use F# to find patterns through raw data Build a set of classification systems using Accord.NET, Weka, and F# Run machine learning jobs on the Cloud with MBrace Perform mathematical operations on matrices and vectors using Math.NET Use a recommender system for your own problem domain Identify tourist spots across the globe using inputs from the user with decision tree algorithms In Detail The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs. If you want to learn how to use F# to build machine learning systems, then this is the book you want. Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data. Style and approach This book is a fast-paced tutorial guide that uses hands-on examples to explain real-world applications of machine learning. Using practical examples, the book will explore several machine learning techniques and also describe how you can use F# to build machine learning systems.
Book Synopsis Practical Java Machine Learning by : Mark Wickham
Download or read book Practical Java Machine Learning written by Mark Wickham and published by Apress. This book was released on 2018-10-23 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use within your ML project. You will be introduced to tools which can help you identify and manage your data including JSON, visualization, NoSQL databases, and cloud platforms including Google Cloud Platform and Amazon Web Services. Practical Java Machine Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity, each of which produce data that can power unique machine learning solutions. You will learn to build a variety of applications that demonstrate the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data. After reading this book, you will come away with case study examples and projects that you can take away as templates for re-use and exploration for your own machine learning programming projects with Java. What You Will LearnIdentify, organize, and architect the data required for ML projects Deploy ML solutions in conjunction with cloud providers such as Google and Amazon Determine which algorithm is the most appropriate for a specific ML problem Implement Java ML solutions on Android mobile devices Create Java ML solutions to work with sensor data Build Java streaming based solutionsWho This Book Is For Experienced Java developers who have not implemented machine learning techniques before.
Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic
Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
