This page connects you with books on data visualization in various programming languages like R, Python, Java; and different platforms and packages like MicroSoft Power BI and Visio, Jupyter, Tableau, QlikView, Mathematica, MATLAB and more.
Navigate this page using the table of contents below left. Each book has an (i) icon that you can click on for a brief blurb about the book.
Find books by general topic, and by specific software, programming language or package.
Data Visualization: Representing Information on Modern Web by
Get a portable, versatile, and flexible data visualization design approach that will help you navigate the complex path towards successGet thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative optionsA comprehensive and contemporary introduction to data-driven visualization design and the most effective approaches to designing impact-maximizing and cognition-amplifying visualizations
Data Visualization: a Successful Design Process by
A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks by
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. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do's and don'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart's design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Big Data Visualization : Learn Effective Tools and Techniques to Separate Big Data Into Manageable and Logical Components for Efficient Data Visualization by
Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualizationAbout This BookThis unique guide teaches you how to visualize your cluttered, huge amounts of big data with easeIt is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelfImprove your decision-making by visualizing your big data the right wayWho This Book Is ForThis book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations.What You Will LearnUnderstand how basic analytics is affected by big dataDeep dive into effective and efficient ways of visualizing big dataGet to know various approaches (using various technologies) to address the challenges of visualizing big dataComprehend the concepts and models used to visualize big dataKnow how to visualize big data in real time and for different use casesUnderstand how to integrate popular dashboard visualization tools such as Splunk and TableauGet to know the value and process of integrating visual big data with BI tools such as TableauMake sense of the visualization options for big data, based upon the best suited visualization techniques for big dataIn DetailWhen it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations.This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore'big data oriented'tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics.The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.Style and approachWith the help of insightful real-world use cases, we'll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.
Data Visualizations and Infographics by
Graphics which visually represent data or complex ideas are oftentimes easier for people to understand and digest than standalone statistics. A map shaded with different colors to represent religious affiliations or income levels enables researchers to quickly identify trends and patterns. New free tools and applications offer librarians the opportunity to organize and manipulate data to quickly create these helpful graphics. Learn how to overlay data sets on maps, create infographics for library services and instruction, use mind mapping for group brainstorming sessions, produce detailed timelines, process flowcharts, diagrams, and much more in this complete how-to-guidebook. This complete how-to guidebook provides you with the tools and inspiration you need to use infographics and data visualization techniques in your library to knock your audience's socks off as you tell your story in a visual format that can be consumed and understood at a glance. You will learn how to: use the tools you already have to create a simple infographic; create a library services infographic using Piktochart; create instructional infographics with Easel.ly; create interactive timelines; mind map your brainstorming meetings; create library flowcharts and diagrams using Creately; create interactive maps with imported data; and create complex data visualizations.
Data Visualization for Business Decisions by
This workbook is intended for business analysts who wish to improve their skills in creating data visuals, presentations, and report illustrations used to support business decisions. It is a qualitative lab to develop the power of visualization and discrimination. It does not require the reader to modify charts, but to analyze and describe what would improve charts. In a set of controlled exercises, the reader is taken through the eighteen elements of six dimensions of analyzing and improving charts, visuals and reports used to communicate business concepts. Includes companion files with videos, sample files, and slides used in examples from the book. Features: Includes eighteen labs, three for each of the six major dimensions of data visuals: Story, Signs, Purpose, Perception, Method, and Charts Uses a comprehensive RAIKS (Rapid Assessment of Individual Knowledge and Skills) survey to judge readers' progress before and after using the text Provides a capstone exercise to review the aggregate analysis and final results for the two analyzed charts Companion files that include video tutorials and all of the sample files and templates used in the book's examples
R Data Visualization Cookbook by
Create animated and interactive plots to help you communicate and explore data. Utilize various R packages to generate graphs, manipulate data, and create beautiful presentations. Learn to interpret data and tell a story using this step-by-step guide to data visualization. If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
R: Data Analysis and Visualization by
Master the art of building analytical models using R. Load, wrangle, and analyze your data using the world's most powerful statistical programming language. Build and customize publication-quality visualizations of powerful and stunning R graphs. Develop key skills and techniques with R to create and customize data mining algorithms. Use R to optimize your trading strategy and build up your own risk management system. Discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R. This book is for data scientists or quantitative analysts who are looking to learn R and take advantage of its powerful analytical design framework.
R Data Science Essentials by
Learn the essence of data science and visualization using R in no time at all. Become a pro at making stunning visualizations and dashboards quickly and without hassle. For better decision making in business, apply the R programming language with the help of useful statistical techniques. From seasoned authors comes a book that offers you a plethora of fast-paced techniques to detect and analyze data patterns. If you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.
R Data Analysis Projects : Get Valuable Insights From Your Data by Building Data Analysis Systems From Scratch with R. by
Get valuable insights from your data by building data analysis systems from scratch with R. This book is a handy guide to take your understanding of data analysis with R to the next level. Real-world projects that focus on problems in finance, network analysis, social media, and more. From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end data analysis pipelines using R. If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book.
R: Recipes for Analysis, Visualization and Machine Learning by
Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning. Proficiently analyze data and apply machine learning techniques. Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R. Construct a predictive model by using a variety of machine learning packages. This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning.
R Data Analysis Cookbook by
This book is ideal for those who are already exposed to R, but have not yet used it extensively for data analytics and are seeking to get up and running quickly for analytics tasks. This book will help people who aspire to enhance their skills in any of the following ways: perform advanced analyses and create informative and professional charts become proficient in acquiring data from many sources apply supervised and unsupervised data mining techniques use R's features to present analyses professionally.
Simulation for Data Science with R by
Harness actionable insights from your data with computational statistics and simulations using R. Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies. A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation. This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required.
Jupyter for Data Science : Your One-stop Guide to Building an Efficient Data Science Pipeline Using Jupyter by
Your one-stop guide to building an efficient data science pipeline using Jupyter. Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science. Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using Jupyter. Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guide. This book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book.
Data Visualization with D3 4.x Cookbook - Second Edition : Discover Over 65 Recipes to Help You Create Breathtaking Data Visualizations Using the Latest Features of D3 by
Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3. Learn about D3 4.0 from the inside out and master its new features and utilize D3 packages to generate graphs, manipulate data, and create beautiful presentationsSolve real-world visualization problems with the help of practical recipes. If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can serve as a desktop quick-reference guide for experienced data visualization developers. You'll also find this book useful if you're a D3 user who wants to take advantage of the new features introduced in D3 4.0. You should have previous experience with D3.
D3.js 4.x Data Visualization - Third Edition : Create and Publish Your Own Interactive and Compelling Data Visualizations with D3.js 4.x by
Create and publish your own interactive and compelling data visualizations with D3.js 4.x. Build interactive and rich graphics and visualization using JavaScript`s powerful library D3.js. Learn D3 from the ground up, using the all-new version 4 of the library. Gain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typing. This book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. Some basic knowledge of JavaScript is expected, but no prior experience with data visualization or D3 is required to follow this book.
Expert Data Visualization : Breathe Life Into Your Data by Learning How to Use D3.js V4 to Visualize Information by
Breathe life into your data by learning how to use D3.js V4 to visualize information. Create complex visualizations powered by D3.js and open data.Provides an extensive set of visualizations that explore all the functionality provided by D3.js V4.Shows how to set up an easy–to-use environment to create stunning visualizations. The target audience of this book is JavaScript developers, designers, and visual artists who have some basic JavaScript programming knowledge and who now want to master pro-level techniques to create interactive data visualizations using web standards which work on desktop as well as mobile devices. What You Will LearnLearn how D3.js works to declaratively define visualizations.Create charts from scratch by using SVG and the D3.js APIsSee how to prepare data for easy visualization using D3.js.Visualize hierarchical data using chart types provided by D3.jsExplore the different options provided by D3.js to visualize linked data such as graphs.Spice up your visualizations by adding interactivity and animations.Learn how to use D3.js to visualize and interact with Geo- and Gis-related information sources.Create visualization by streaming data over WebSocketsIn DetailDo you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? This book is your ideal choice to master interactive data visualization with D3.js V4.The book includes a number of extensive examples that to help you hone your skills with data visualization. Throughout nine chapters these examples will help you acquire a clear practical understanding of the various techniques, tools and functionality provided by D3.js. You will first setup your D3.JS development environment and learn the basic patterns needed to visualize your data. After that you will learn techniques to optimize different processes such as working with selections; animating data transitions; creating graps and charts, integrating external resources (static as well as streaming); visualizing information on maps; working with colors and scales; utilizing the different D3.js APIs; and much more. The book will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and realtime data streams, such as seismic data, geospatial data, scientific data, and more. Towards the end of the book, you will learn to add more functionality on top of D3.js by using it with other external libraries and integrating it with Ecmascript 6 and TypescriptStyle and approachThis book will have a real–world, case-study approach, where you will be given data sets from different domains. These data sets will have different visualization goals; some might need 2D or 3D charts, some might need automated workflows, others might require interactive maps. While you fulfill these goals, you will learn different techniques and best practices, which will enable you to perform data visualization tasks on your own.
Learning Responsive Data Visualization by
Master the art of building responsive visualizations on the Web. Learn the techniques for building data visualizations that work well for all screen sizesImplement responsive techniques with popular libraries to get to grips with building responsive visualizations that work in the real worldIncorporate responsive workflow in your data visualization process to build visualizations that take a mobile-first approach. Web developers and data science professionals who want to make their visualizations work for smaller screen sizes. Some basic knowledge of JavaScript and Data visualization is expected.
Java Data Analysis : Get the Most Out of the Popular Java Libraries and Tools to Perform Efficient Data Analysis by
Get the most out of the popular Java libraries and tools to perform efficient data analysis. Get your basics right for data analysis with Java and make sense of your data through effective visualizations. Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning. This is your companion to understanding and implementing a solid data analysis solution using Java. If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required.
Learning IPython for Interactive Computing and Data Visualization - Second Edition : Get Started with Python for Data Analysis and Numerical Computing in the Jupyter Notebook by
Learn the basics of Python in the Jupyter Notebook. Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn. Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel. This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform.
Python: Data Analytics and Visualization by
Understand, evaluate, and visualize dataAbout This BookLearn basic steps of data analysis and how to use Python and its packages. A step-by-step guide to predictive modeling including tips, tricks, and best practices. Effectively visualize a broad set of analyzed data and generate effective results. This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.
Applied Data Science with Python and Jupyter : Use Powerful Industry-standard Tools to Unlock New, Actionable Insights From Your Data by
Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications. Get up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts such as SVM, KNN classifiers, and Random Forests. Discover how you can use web scraping to gather and parse your own bespoke datasets. Getting started with data science doesn't have to be an uphill battle. Applied Data Science with Python and Jupyter is a step-by-step guide ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction to these concepts.
Learning Python Data Visualization by
If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
Python Data Visualization Cookbook by
This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.
Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data. You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need mathematics for this book, every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.
Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages From Data Manipulation to Processing by
Get to grips with the most popular Python packages that make data analysis possible. Explore the tools you need to become a data analyst. Discover practical examples to help you grasp data processing concepts. Walk through hierarchical indexing and grouping for data analysis scripting. This book is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.
Mastering Python Data Visualization : Generate Effective Results in a Variety of Visually Appealing Charts Using the Plotting Packages in Python by
Explore various tools and their strengths while building meaningful representations that can make it easier to understand data. Packed with computational methods and algorithms in diverse fields of science. Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse. If you are a Python developer who performs data visualization and wants to develop your existing Python knowledge, then this book is for you.
Power BI Data Analysis and Visualization by
Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL. Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions.
Mastering Data Visualization with Microsoft Visio Professional 2016 by
Master the art of presenting information visually using Microsoft Visio Professional 2016 and Visio Pro for Office365. Visualize information to meet the needs of your business. Get the quick way to learn Microsoft Visio 2016. This book is aimed at the departmental-level business intelligence professional or Microsoft Office power-user who wants to create data diagrams with Microsoft Visio that can accurately represent business information visually.
Microsoft Power BI Quick Start Guide : Build Dashboards and Visualizations to Make Your Data Come to Life by
Bring your data to life with Power BI. Get to grips with the fundamentals of Microsoft Power BI and its Business Intelligence capabilitiesBuild accurate analytical models, reports and dashboards. Get faster and more intuitive insights from your data using Microsoft Power BI. Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights using your organization's data. This book is for aspiring Business Intelligence professionals who want to get up and running with Microsoft Power BI. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, this book is for you.
Tableau: Creating Interactive Data Visualizations by
Use data visualization principles to help you to design dashboards that enlighten and support business decisionsIntegrate your data to provide mashed-up dashboards. Connect to various data sources and understand what data is appropriate for Tableau. Understand chart types and when to use specific chart types with different types of data. Data scientists who have just started using Tableau and want to build on the skills using practical examples. Familiarity with previous versions of Tableau will be helpful, but not necessary.
Tableau Cookbook – Recipes for Data Visualization by
Create beautiful data visualizations and interactive dashboards with Tableau. Delve into the features and functionalities of Tableau from the ground up with this step-by-step guide that has over 50 “follow-me” recipes. Build rich visualizations to effectively highlight the underlying trends and patterns in your data. Build beautiful interactive dashboards and storyboards to stitch your visualizations together and tell a story. This book is for both beginners who want to learn Tableau from scratch and to more seasoned users who simply want a quick reference guide.
Getting Started with Tableau 2019.2 : Effective Data Visualization and Business Intelligence with the New Features of Tableau 2019.2 by
Leverage the power of Tableau 2019.1's new features to create impactful data visualization. Get up and running with the newly released features of Tableau 2019.1. Create enterprise-grade dashboard and reports to communicate your insights effectively. Begin your Tableau journey by understanding its core functionalities Book Description Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. Existing Tableau users and BI professionals who want to get up to speed with what's new in Tableau 2019 will find this beginner-level book to be a very useful resource. Some experience of Tableau is assumed, however, the book also features introductory concepts, which even beginners can take advantage of.
Getting Started with Tableau 2018.x : Get up and Running with the New Features of Tableau 2018 for Impactful Data Visualization by
Leverage the power of Tableau to get actionable business insights and make better business decisions. Explore all the new features of Tableau 2018.x. Begin your Tableau journey by understanding its core functionalities. Apply advanced techniques such as data blending and parameters to make the best of Tableau. Tableau is one of the leading business intelligence tools used worldwide, in organizations of every scale. In its latest release, Tableau 2018 promises richer and more useful features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. If you're a beginner or an existing BI professional looking to get the most out of Tableau 2018's latest features, this book is for you. You'll also find this book useful if you're an aspiring analyst who wants to learn the capabilities of Tableau to answer business-specific questions. No prior knowledge or experience with Tableau or any other Business Intelligence tool is necessary.
Tableau 10 Complete Reference : Transform Your Business with Rich Data Visualizations and Interactive Dashboards with Tableau 10 by
Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways. Apply best practices in data visualization and chart types exploration. Explore the latest version of Tableau Desktop with hands-on examplesUnderstand the fundamentals of Tableau storytelling. Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. Tableau 10 Complete Reference is designed for anyone who wants to understand their data better and represent it in an effective manner. It is also used for BI professionals and data analysts who want to do better at their jobs.
Learning Tableau 2020 : Create Effective Data Visualizations, Build Interactive Visual Analytics, and Transform Your Organization, 4th Edition by
Explore Tableau 2020 features and redefine business analytics for your firm. Understand visualizing data and creating interactive dashboards to gain meaningful insightsLearn implementing effective data storytelling to redefine how your business leverages data and makes decisionsBook DescriptionLearning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics.The book starts by taking you through foundational principles of Tableau. This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book will simplify Tableau for beginners to build on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Having a bit of background with data will help, but you don't need to know scripting, SQL or database structures.
Tableau Data Visualization Cookbook by
This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order.You'll gain the most from this book if you have basic understanding of various chart types and of their importance. Knowing when to employ a certain graphic will be equally useful. This book will get you up to speed if you just started using Tableau. You'll find this book useful if you spend a lot of time conducting data analysis and creating reports.
Mastering QlikView Data Visualization by
Take your QlikView skills to the next level and master the art of creating visual data analysis for real business needs. Explore how to create your own QlikView data laboratory and how to develop QlikView applications using agile project methodsImplement advanced data visualization and analysis for common business requirements from the sales, finance, marketing, inventory, operations, and human resources departmentsLearn from real-life experience shared in this book that will give you the upper hand in your next QlikView project. This book is intended for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. You should have a basic understanding of advanced QlikView functions.
Hands-On Business Intelligence with Qlik Sense : Implement Self-service Data Analytics with Insights and Guidance From Qlik Sense Experts by
Create dynamic dashboards to bring interactive data visualization to your enterprise using Qlik Sense. Implement various Qlik Sense features to create interactive dashboards. Analyze data easily and make business decisions faster using Qlik Sense. Perform self-service data analytics and geospatial analytics using an example-based approach. Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. If you're a data analyst, BI developer, or interested in business intelligence and want to gain practical experience of working on Qlik Sense, this book is for you. You'll also find it useful if you want to explore Qlik Sense's next-generation applications for self-service business intelligence. No prior experience of working with Qlik Sense is required.
QlikView: Advanced Data Visualization : Discover Deeper Insights with Qlikview by Building Your Own Rich Analytical Applications From Scratch by
Build powerful data analytics applications with this business intelligence tool and overcome all your business challenges. Master time-saving techniques and make your QlikView development more efficient. Perform geographical analysis and sentiment analysis in your QlikView applications. Explore advanced QlikView techniques, tips, and tricks to deliver complex business requirements. This Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.
Qlik Sense: Advanced Data Visualization for Your Organization : Create Smart Data Visualizations and Predictive Analytics Solutions by
Perform Interactive Data Analysis with Smarter Visualizations and Support your Enterprise-wide Analytical Needs. Get a practical demonstration of discovering data for sales, human resources, and more using Qlik Sense. Create dynamic dashboards for business intelligence and predictive analytics Create and collaborate comprehensive analytical solutions using Rattle and Qlik Sense. This course is for anyone who wishes to understand and utilize the various new approaches to business intelligence actively in their business practice. Knowing the basics of business intelligence concepts would be helpful when picking up this course, but is not mandatory.
Learning Qlikview Data Visualization by
A practical and fast-paced guide that gives you all the information you need to start developing charts from your data.Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any previous knowledge of QlikView. Experience with spreadsheet software will help you understand QlikView functions.
Mathematica Data Visualization by
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
MATLAB Graphics and Data Visualization Cookbook by
MATLAB Graphics and Data Visualization Cookbook'will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.
OpenGL Data Visualization Cookbook by
Get acquainted with a set of fundamental OpenGL primitives and concepts that enable users to create stunning visuals of arbitrarily complex 2D and 3D datasets for many common applications. Explore interactive, real-time visualization of large 2D and 3D datasets or models, including the use of more advanced techniques such as stereoscopic 3D rendering.Create stunning visuals on the latest platforms including mobile phones and state-of-the-art wearable computing devices. This book is aimed at anyone interested in creating impressive data visualization tools using modern graphics hardware. Whether you are a developer, engineer, or scientist, if you are interested in exploring the power of OpenGL for data visualization, this book is for you. While familiarity with C/C++ is recommended, no previous experience with OpenGL is assumed.
Circos Data Visualization : How To by
Recipes that follow a problem-solution approach. It's a friendly, hands-on guide to creating visualizations with step-by-step instructions. This book is targeted at statisticians, analysts, and graphic designers with an interest in data visualization. The author does not presume any experience with Circos and steps through the installation and diagram creation process.
The Applied SQL Data Analytics Workshop : Develop Your Practical Skills and Prepare to Become a Professional Data Analyst, 2nd Edition by
Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable. Explore ways to use SQL for data analytics and gain key insights from your dataStudy advanced analytics, such as geospatial and text analytics. Discover ways to integrate your SQL pipelines with other analytics technologies. If you are a database engineer who is looking to transition into analytics or someone who knows SQL basics but doesn't know how to use it to create business insights, then this book is for you.
Learning Kibana 7 : Build Powerful Elastic Dashboards with Kibana's Data Visualization Capabilities, 2nd Edition by
A beginner's guide to analyzing and visualizing your Elastic search data using Kibana 7 and Timelion. Gain a fundamental understanding of how Kibana operates within the Elastic Stack. Explore your data with Elastic Graph and create rich dashboards in Kibana. Learn scalable data visualization techniques in Kibana 7. Kibana is a window into the Elastic Stack, that enables the visual exploration and real-time analysis of your data in Elasticsearch. This book will help you understand the core concepts of the use of Kibana 7 for rich analytics and data visualization. If you're new to the tool or want to get to grips with the latest features introduced in Kibana 7, this book is the perfect beginner's guide.
Learning Elastic Stack 7.0 : Distributed Search, Analytics, and Visualization Using Elasticsearch, Logstash, Beats, and Kibana by
A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0 Key Features Gain access to new features and updates introduced in Elastic Stack 7.0 Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana. Explore useful tips for using Elastic Cloud and deploying Elastic Stack in production environments. The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.
Hands-On Data Science with the Command Line : Automate Everyday Data Science Tasks Using Command-line Tools by
Big data processing and analytics at speed and scale using command line tools. Key Features Perform string processing, numerical computations, and more using CLI tools Understand the essential components of data science development workflow Automate data pipeline scripts and visualization with the command line Book Description The Command Line has been in existence on UNIX-based OSes in the form of Bash shell for over 3 decades. However, very little is known to developers as to how command-line tools can be OSEMN (pronounced as awesome and standing for Obtaining, Scrubbing, Exploring, Modeling, and iNterpreting data) for carrying out simple-to-advanced data science tasks at speed. This book will start with the requisite concepts and installation steps for carrying out data science tasks using the command line. This book is for data scientists and data analysts with little to no knowledge of the command line but has an understanding of data science. Perform everyday data science tasks using the power of command line tools.
HTML5 Graphing and Data Visualization Cookbook by
This cookbook is organized in a linear, progressive way allowing it to be read from start to finish, as well as to be used as a useful resource for specific tasks. The HTML5 examples and recipes will have you making dynamic, interactive, and animated charts and graphs in no time. You don't need to have a background in HTML5 or Canvas but you do need to have a basic understanding of how HTML works and know how to code in any language (preferably in JavaScript). In this book we will not explain how to learn to code but how to create projects and how to plan and execute them in the process.
Social Data Visualization with Html5 and Javascript by
This book is a fast-paced guide full of step-by-step instructions that teach you how to visualize social data using HTML5 and JavaScript.This book is for developers who are excited about data and who want to share that excitement with others. Developers who are interested in the data which can be extracted from social networks will also find this book hugely beneficial. Readers should have a working knowledge of both JavaScript and HTML.
