Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed. This book discusses the principles and best practices of dataset creation, and covers basic data types and their related appropriate statistics and visualizations. A key focus of the book is why certain data types are chosen for representing concepts and measurements, in contrast to the typical discussions of how to analyze a specific data type once it has been selected. What You Will Learn Be aware of the principles of creating and collecting data Know the basic data types and representations Select data types, anticipating analysis goals Understand dataset structures and practices for analyzing and sharing Be guided by examples and use cases (good and bad) Use cleaning tools and methods to create good data Who This Book Is For Researchers who design studies and collect data and subsequently conduct and report the results of their analyses can use the best practices in this book to produce better descriptions and interpretations of their work. In addition, data analysts who explore and explain data of other researchers will be able to create better datasets.

For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin’s popular blog, Preppin’ Data, this practical guide takes you step-by-step through Tableau Prep’s fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. Know what to look for when you prepare data Learn which Tableau Prep functions to use when working with data fields Analyze the shape and profile of your dataset Output data for analysis and learn how Tableau Prep automates your workflow Learn how to clean your dataset using Tableau Prep functions Explore ways to use Tableau Prep techniques in real-world scenarios Make your data available to others by managing and documenting the output

"Learning Tableau 2020" is a comprehensive resource designed to strengthen your understanding of Tableau. It takes you from mastering the fundamentals to achieving proficiency in advanced visualization and data handling techniques. Through this book, you will gain the ability to create impactful data visualizations and interactive dashboards, effectively leveraging the capabilities of Tableau 2020. What this Book will help me do Effectively utilize Tableau 2020 features to develop data visualizations and dashboards. Apply advanced Tableau techniques, such as LOD and table calculations, to solve complex data analysis problems. Clean and structure data using Tableau Prep, enhancing data quality and reliability. Incorporate mapping and geospatial visualization for geographic data insights. Master storytelling with data by constructing engaging and interactive dashboards. Author(s) Joshua N. Milligan, the author of "Learning Tableau 2020," is an experienced Tableau training consultant and professional. With extensive years in the data visualization and analytics field, Joshua brings a practical perspective to the book. He excels at breaking down complex topics into accessible learning paths, making advanced Tableau concepts approachable for learners of all levels. Who is it for? This book is perfect for aspiring data analysts, IT professionals, and data enthusiasts who aim to understand and create compelling business intelligence reports. Beginners in Tableau will find the learning process straightforward due to its structured and incremental lessons. Advanced users can refine their skills with the wide range of complex examples covered. A basic familiarity with working with data is beneficial, though not required.

"Learn Grafana 7.0" is the ultimate beginner's guide to leveraging Grafana's capabilities for analytics and interactive dashboards. You'll master real-time data monitoring, visualization, and learn how to query and explore metrics with a hands-on approach to Grafana 7.0's new features. What this Book will help me do Learn to install and configure Grafana from scratch, preparing you for real-world data analysis tasks. Navigate and utilize the Graph panel in Grafana effectively, ensuring clear and actionable visual insights. Incorporate advanced dashboard features such as annotations, templates, and links to enhance data monitoring. Integrate Grafana with major cloud providers like AWS and Azure for robust monitoring solutions. Implement secure user authentication and fine-tuned permissions for managing teams and sharing insights safely. Author(s) None Salituro, the author of "Learn Grafana 7.0," is an experienced data visualization expert with years of experience in software development and analytics. Salituro focuses on creating understandable and accessible resources for developers and analysts of all skill levels, bringing a hands-on practical approach to technical learning. Who is it for? This book is perfect for data analysts, business intelligence developers, and administrators looking to build skills in data visualization and monitoring with Grafana 7.0. If you're eager to create interactive dashboards and learn practical applications of Grafana's features, this book is for you. Beginners to Grafana are fully accommodated, though familiarity with data visualization principles is beneficial. For those seeking to monitor cloud services like AWS with Grafana, this book is indispensable.

Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to Practical Tableau, author Ryan Sleeper takes you through a collection of unique tips and tutorials for using this popular software. Beginning to advanced Tableau users will learn how to go beyond Show Me to make better charts and learn dozens of tricks to improve both the author and user experience. Featuring many approaches he developed himself, Ryan shows you how to create charts that empower Tableau users to explore, understand, and derive value from their data. He also shares many of his favorite tricks that enabled him to become a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Global Iron Viz Champion. Learn what’s new in Tableau since Practical Tableau was released Examine unique new charts—timelines, custom gauges, and leapfrog charts—plus innovations to traditional charts such as highlight tables, scatter plots, and maps Get tips that can help make a Tableau developer’s life easier Understand what developers can do to make users’ lives easier

Learn to create stunning animated and interactive charts using Highcharts and Angular. Use and build on your existing knowledge of HTML, CSS, and JavaScript to develop impressive dashboards that will work in all modern browsers. You will learn 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, 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. Highcharts is one the most useful products worldwide for develop charting on the web, and Angular is well known for speed. Using Highcharts with Angular, developers can build fast, interactive dashboards. Get up to speed using this book today. What You’ll Learn How to develop interactive, animated dashboards How you can implement Highcharts using Angular How to develop a real-time application with the use of WebAPI, Angular, and Highcharts How to create interactive styling themes and colors for a dashboard Who This Book Is For This book is aimed at developers, dev leads, software architects, students or enthusiasts who are already familiar with HTML, CSS, and JavaScript.

Learn how to easily transform your data into engaging, interactive visual reports! Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily. No previous experience is required to get started right away—all you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, step-by-step instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of real-world scenarios. This engaging, reader-friendly guide will enable you to: Use Google Data Studio to access various types of data, from your own personal data to public sources Build your first data set, navigate the Data Studio interface, customize reports, and share your work Learn the fundamentals of data visualization, personal data accessibility, and open data API's Harness the power of publicly accessible data services including Google’s recently released Data Set Search Add banners, logos, custom graphics, and color palettes Hands On With Google Data Studio: A Data Citizens Survival Guide is a must-have resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders.

Tableau Desktop Certified Associate: Exam Guide is your companion for mastering Tableau and preparing for the certification exam with confidence. Through this book, you will gain a comprehensive understanding of Tableau Desktop's features and learn to implement them in practical scenarios to solve analytics challenges. What this Book will help me do Understand and apply Tableau best practices for analyzing and visualizing data effectively. Visualize geographic data using vector maps and gain insights into spatial distributions. Leverage advanced analytics techniques such as forecasting to predict key metrics. Build effective dashboards that convey information clearly and efficiently. Gain confidence in tackling Tableau Desktop Certified Associate exam questions with expert tips and mock exams. Author(s) The authors, Dmitry Anoshin, JC Gillet, Peri Biyani, and others, are experienced professionals in data analytics and business intelligence. With significant expertise in teaching and applying Tableau, they bring a wealth of knowledge to this guide, offering clear instructions and practical insights. Their dedication to empowering learners fosters a supportive and assured journey through this book. Who is it for? This book is ideal for business analysts, BI professionals, and data analysts aiming to become certified Tableau Desktop Associates. If you have a foundational understanding of Tableau Desktop and are looking to deepen your expertise while preparing for certification, this book is tailored to help you achieve that goal.

Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.

Focus on the most important and most often overlooked factor in a successful Tableau project—data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop What You Will Learn Recognize data sources that are good candidates for analytics in Tableau Connect tolocal, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool Who This Book Is For Tableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau

Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

Go beyond the basics of D3.js to create maintainable, modular, and testable charts and to package them into a library that can be distributed as open source software or kept for private use. This book will show you how to transform regular D3.js chart code into reusable and extendable modules.You know the basics of working with D3.js, but it's time to become a professional D3.js practitioner. This book is your launching pad to refactoring code, composing complex visualizations from small components, working as a team with other developers, and integrating charts with a Continuous Integration system. You'll begin by creating a production-ready chart using D3.js v5, ES2015, and a test-driven approach and then move on to using and extending Britecharts, the reusable charting library based on Reusable API patterns. Finally, you'll see how to use D3.js along with React to document and build your charts to compose a charting library you can release into the NPM repository. With Pro D3.js, you'll become an accomplished D3.js developer in no time. What You Will Learn Create v5 D3.js charts with ES2016 and unit tests Develop modular, testable and extensible code with the Reusable API pattern Work with and extend Britecharts, a reusable charting library created at Eventbrite Use Webpack and npm to create and publish a charting library from your own chart collections Write reference documentation and build a documentation homepage for your library. Who This Book Is For Data scientists, data visualization engineers, and frontend developers with a fundamental knowledge of D3.js and some experience with JavaScript, as well as data journalists and consultants.

"Getting Started with Tableau 2019.2" is your primer to mastering the latest version of Tableau, a leading tool for data visualization and analysis. Whether you're new to Tableau or looking to upgrade your skills, this book will guide you through both foundational and advanced features, enabling you to create impactful dashboards and visual analytics. What this Book will help me do Understand and utilize the latest features introduced in Tableau 2019.2, including natural language queries in Ask Data. Learn how to connect to diverse data sources, transform data by pivoting fields, and split columns effectively. Gain skills to design intuitive data visualizations and dashboards using various Tableau mark types and properties. Develop interactive and storytelling-based dashboards to communicate insights visually and effectively. Discover methods to securely share your analyses through Tableau Server, enhancing collaboration. Author(s) Tristan Guillevin is an experienced data visualization consultant and an expert in Tableau. Having helped several organizations adopt Tableau for business intelligence, he brings a practical and results-oriented approach to teaching. Tristan's philosophy is to make data accessible and actionable for everyone, no matter their technical background. Who is it for? This book is ideal for Tableau users and data professionals looking to enhance their skills on Tableau 2019.2. If you're passionate about uncovering insights from data but need the right tools to communicate and collaborate effectively, this book is for you. It's suited for those with some prior experience in Tableau but also offers introductory content for newcomers. Whether you're a business analyst, data enthusiast, or BI professional, this guide will build solid foundations and sharpen your Tableau expertise.

A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that’s easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it’s no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. • Learn the different types of charts you can create • Use aggregation, calculated fields, and parameters • Create insightful maps • Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.

Dive into the world of data visualization with 'Learn D3.js'. This comprehensive guide introduces D3.js-the leading JavaScript library for creating interactive, data-driven visualizations on the web. By following practical examples, you'll understand core concepts of D3.js, learn to implement various types of visualizations, and develop skills to bring dynamic, responsive graphics to your projects. What this Book will help me do Master the fundamentals of D3.js and use it to produce stunning web-based data visualizations. Bind data to the DOM using D3.js and configure interactive transitions and animations. Gain experience generating a multitude of chart types such as bar, pie, scatter charts, and more. Incorporate user interactivity into your visualizations using D3.js effectively. Work with map-based data visualizations using GIS data and various geographical projections. Author(s) Helder da Rocha is an experienced developer and educator with a passion for data visualization. With a solid background in JavaScript and web technologies, he has crafted this book to make the complexities of D3.js accessible and engaging. His approach emphasizes practical, hands-on learning, nurturing both new and seasoned developers alike. Who is it for? Are you a web developer, designer, or data scientist aiming to create interactive data visualizations for the web? If you have foundational knowledge of HTML, CSS, and JavaScript, this book is your perfect guide. Whether you're dipping your toes into web-based charts or seeking to craft advanced interactive graphics, 'Learn D3.js' is tailored to empower your journey.

If you’re in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Written for technically savvy readers with a background in programming or data science, the book moves quickly, emphasizing unifying concepts and patterns. Anticipating common difficulties, author Philipp K. Janert teaches you how to apply D3 to your own problems. Assuming only a general programming background, but no previous experience with contemporary web development, this book explains supporting technologies such as SVG, HTML5, CSS, and the DOM as needed, making it a convenient one-stop resource for a technical audience. Understand D3 selections, the library’s fundamental organizing principle Learn how to create data-driven documents with data binding Create animated graphs and interactive user interfaces Draw figures with curves, shapes, and colors Use the built-in facilities for heatmaps, tree graphs, and networks Simplify your work by writing your own reusable components

Discover how to harness the power of Tableau 2019 to transform raw data into insightful, actionable business intelligence. This book serves as a comprehensive guide to mastering Tableau's features-from creating stunning visualizations to managing complex datasets with Tableau Prep. By the end, you'll be well-equipped to use Tableau for informed decision-making. What this Book will help me do Master the essential features of Tableau 2019 to become proficient in data visualization. Learn to prepare and integrate data effectively using Tableau Prep. Develop advanced visual analytics skills, including calculations and table calculations. Understand how to craft compelling dashboards and data stories for impactful communication. Leverage new Tableau features like set actions and transparent views for enhanced analytics. Author(s) Joshua N. Milligan is a Tableau-certified professional and Tableau Zen Master with extensive industry experience in data analytics. Known for his clarity in teaching, Joshua takes a practical and comprehensive approach to help users navigate Tableau effectively. His passion for empowering data-driven decisions is evident in his writing. Who is it for? This book is ideal for data professionals, analysts, or anyone new to Tableau who seeks to gain proficiency in data visualization and analysis. It is suitable for beginners, as it walks the reader through foundational concepts before introducing complex topics. Readers looking to enhance their skills in advanced Tableau techniques will also find value here. Familiarity with databases is helpful but not mandatory.

This book, 'Learn Chart.js', serves as a comprehensive guide to mastering Chart.js for creating stunning web-based data visualizations. By combining JavaScript, HTML5 Canvas, and Chart.js, you will understand how to turn raw data into interactive visual stories. What this Book will help me do Develop skills to create interactive and engaging data visualizations using the Chart.js library. Learn to efficiently load, parse, and handle data from external formats like CSV and JSON. Understand different chart types offered by Chart.js and learn when to best use each one. Gain the ability to customize Chart.js charts, such as adjusting properties for styling or animations. Acquire hands-on experience with practical examples, equipping you to apply what you learn in real-world scenarios. Author(s) Helder da Rocha brings his extensive experience in programming and software development to this book, offering readers a clear and practical approach to mastering Chart.js. With a deep understanding of data visualization and web technologies, he conveys complex concepts in a straightforward way. Who is it for? This book is ideal for web developers, data analysts, and designers who have basic proficiency in HTML, CSS, and JavaScript. It is particularly suited for professionals looking to create impactful web-based data visualizations using open-source tools. Additionally, the book assumes no prior knowledge of the Canvas element, making it accessible for Chart.js beginners.

Mastering Tableau 2019.1 is your essential guide for becoming an expert in Tableau's advanced features and functionalities. This book will teach you how to use Tableau Prep for data preparation, create complex visualizations and dashboards, and leverage Tableau's integration with R, Python, and MATLAB. You'll be equipped with the skills to solve both common and advanced BI challenges. What this Book will help me do Gain expertise in preparing and blending data using Tableau Prep and other data handling tools. Create advanced data visualizations and designs that effectively communicate insights. Implement narrative storytelling in BI with advanced presentation designs in Tableau. Integrate Tableau with programming tools like R, Python, and MATLAB for extended functionalities. Optimize performance and improve dashboard interactivity for user-friendly analytics solutions. Author(s) Marleen Meier, with extensive experience in business intelligence and analytics, and None Baldwin, an expert in data visualization, collaboratively bring this advanced Tableau guide to life. Their passion for empowering users with practical BI solutions reflects in the hands-on approach employed throughout the book. Who is it for? This book is perfectly suited for business analysts, BI professionals, and data analysts who already have foundational knowledge of Tableau and seek to advance their skills for tackling more complex BI challenges. It's ideal for individuals aiming to master Tableau's premium features for impactful analytics solutions.

Dive into the world of Kibana 7 with this hands-on guide that simplifies the process of visualizing and analyzing data using Elasticsearch. From fundamental concepts to advanced tools, this book enables you to create intuitive dashboards and leverage powerful machine learning capabilities effectively. Discover how to transform your data into actionable insights with ease. What this Book will help me do Configure Logstash to fetch and process CSV data for visualization. Master creating and managing index patterns within Kibana for efficient data navigation. Effectively apply filters to refine data presentations and insights. Develop and utilize machine learning jobs in Kibana to identify trends and anomalies. Create, customize, and share impactful visualizations and dashboards to drive data-driven decisions. Author(s) None Srivastava is a technical expert in data visualization and Elasticsearch tools, with practical experience implementing and teaching about the Elastic Stack. The author brings a hands-on approach to this book, simplifying complex concepts for ease of understanding. Their expertise ensures that the book serves both as a learning guide and a practical reference. Who is it for? This book is ideal for developers and IT professionals who are either new to Kibana or looking to deepen their understanding of its visualization capabilities. It is suitable for individuals working with the Elastic Stack or seeking to leverage Kibana for data analysis purposes. Even if you are progressing from a novice to an intermediate level, this guide will provide future-proof skills to optimize your workflow.