Data Visualization For Dummies

Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience This full-color guide shows you how to analyze large amounts of data, ...

Data Visualization For Dummies

Author: Mico Yuk

Publisher: John Wiley & Sons

ISBN: 1118502922

Page: 256

View: 914

A straightforward, full-color guide to showcasing data soyour audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit,and government agency wants and needs to analyze and leveragedatasets that can quickly become ponderously large. Datavisualization software enables different industries to presentinformation in ways that are memorable and relevant to theirmission. This full-color guide introduces you to a variety of waysto handle and synthesize data in much more interesting ways thanmere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how toconvey complex data in a clear, concise diagram, ways to createeye-catching visualizations, and much more! Effective data analysis involves learning how to synthesizedata, especially big data, into a story and present that story in away that resonates with the audience This full-color guide shows you how to analyze large amounts ofdata, communicate complex data in a meaningful way, and quicklyslice data into various views Explains how to automate redundant reporting and analyses,create eye-catching visualizations, and use statistical graphicsand thematic cartography Enables you to present vast amounts of data in ways that won'toverwhelm your audience Part technical manual and part analytical guidebook, DataVisualization For Dummies is the perfect tool for transformingdull tables and charts into high-impact visuals your audience willnotice...and remember.

Exam Prep for Data Visualization for Dummies reg

This book provides over 2,000 Exam Prep questions and answers to accompany the text Data Visualization for Dummies® Items include highly probable exam items: Data structure, signal, Program counter, organization, Time, Handshaking, content ...

Exam Prep for  Data Visualization for Dummies reg

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Data Science For Dummies

Let this book be your guide. Data Science For Dummies is for working professionals and students interested in transforming an organization's sea of structured, semi-structured, and unstructured data into actionable business insights.

Data Science For Dummies

Author: Lillian Pierson

Publisher: John Wiley & Sons

ISBN: 1119327636

Page: 384

View: 635

Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Data Visualization with Python for Beginners Visualize Your Data Using Pandas Matplotlib and Seaborn

What this book aims to do... This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data.

Data Visualization with Python for Beginners  Visualize Your Data Using Pandas  Matplotlib and Seaborn

Author: Ai Publishing

Publisher: AI Publishing LLC

ISBN: 9781733042680

Page: 280

View: 818

Data Visualization using Python for Beginners Are you looking for a hands-on approach to learn Python for Data Visualization Fast? Do you need to start learning Python for Data Visualization from Scratch? This book is for you. This book works as guide to present fundamental Python Libraries and basis related to Data Visualization using Python. Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns. This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science. We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc . What this book offers... You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises. Clear and Easy to Understand Solutions All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill. What this book aims to do... This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project. Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time. Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book Topics Covered: Basic Plotting with Matplotlib Advanced Plotting with Matplotlib Introduction to the Python Seaborn Library Advanced Plotting with Seaborn Introduction to Pandas Library for Data Analysis Pandas for Data Visualization 3D Plotting with Matplotlib Interactive Data Visualization with Bokeh Interactive Data Visualization with Plotly Hands-on Project Exercises Click the BUY button and download the book now to start learning and coding Python for Data Visualization. ** MONEY BACK GUARANTEE BY AMAZON ** If you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform or contact us by sending an email at [email protected] **GET YOUR COPY NOW, the price will be 19.99$ soon**

Python for Data Science For Dummies

See why Python works for data science — tour the data science pipeline and learn about Python's basic capabilities Get set up — install Python, download datasets and example code, and start working with numbers and logic, creating ...

Python for Data Science For Dummies

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 1118843983

Page: 432

View: 287

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Data Analytics Guide For Beginners

Topics covered in this book: -Data Mining -Big Data -Machine Learning -Alternative Data -Data Management -Web Scraping -Regression Analysis -Clustering Analysis -Association Analysis -Data Visualization -Business Intelligence

Data Analytics Guide For Beginners

Author: Hosea Droski

Publisher:

ISBN:

Page: 124

View: 639

Data Science and Data Analytics are two most trending terminologies of today's time. Presently, data is more than oil to the industries. Data is collected into raw form and processed according to the requirement of a company and then this data is utilized for the decision making purpose. This process helps the businesses to grow & expand their operations in the market. Topics covered in this book: -Data Mining -Big Data -Machine Learning -Alternative Data -Data Management -Web Scraping -Regression Analysis -Clustering Analysis -Association Analysis -Data Visualization -Business Intelligence

Currency Trading For Dummies

For more information or to order direct visit www.dummies.com & Available in
print and e-book formats. Available ... Dummies 978-1-118–29405–5 Big Data
Big Data For Dummies 978-1-118–50422–2 Data Visualization For Dummies ...

Currency Trading For Dummies

Author: Kathleen Brooks

Publisher: John Wiley & Sons

ISBN: 1118989813

Page: 384

View: 171

Your plain-English guide to currency trading Currency Trading For Dummies is a hands-on, user-friendlyguide that explains how the foreign exchange (ForEx) market worksand how you can become a part of it. Currency trading has manybenefits, but it also has fast-changing financial-trading avenues.ForEx markets are always moving. So how do you keep up? With thisnew edition of Currency Trading For Dummies, you'll get theexpert guidance you've come to know and expect from the trusted ForDummies brand—now updated with the latest information on thetopic. Inside, you'll find an easy-to-follow introduction to theglobal/ForEx market that explains its size, scope, and players; alook at the major economic drivers that influence currency values;and the lowdown on how to interpret data and events like a pro.Plus, you'll discover different types of trading styles and make aconcrete strategy and game plan before you act onanything. Covers currency trading conventions and tools Provides an insider's look at key characteristics of successfulcurrency traders Explains why it's important to be organized and prepared Offers guidance on trading pitfalls to avoid and riskmanagement rules to live by Whether you're just getting started out in the foreign exchangemarket or an experienced trader looking to diversify yourportfolio, Currency Trading For Dummies sets you up fortrading success.

Statistical Analysis with Excel For Dummies

For more information or to order direct visit www.dummies.com Available in print
and e - book formats . ... 2nd Edition 978-1-118-59082-9 Data Visualization For
Dummies 978-1-118-50289-1 OS X Mavericks For Dummies 978-1-118-69188-5
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Statistical Analysis with Excel For Dummies

Author: Joseph Schmuller

Publisher: John Wiley & Sons

ISBN: 1119271150

Page: 560

View: 193

There's nothing random about it—this is the book on statistical analysis with Excel Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world's most popular spreadsheet program to crunch numbers and interpret statistics—even if you've never taken a statistics or advanced math course. In no time, you'll learn to use Excel to create and translate statistics in everyday life, understand common statistical terms, and improve your classroom or professional skills. Statistics has a reputation for being a challenging, math-intensive pursuit—but it doesn't have to make your palms sweat. Using a minimum of equations and assuming no prior knowledge of statistics or Excel, this hands-on guide cuts through the jargon and shows you how to make sense of formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more. Use Excel's tools to analyze and understand data Apply statistical analysis to predict trends and make decisions Interpret sales figures, gambling odds, and sports stats Develop a grading curve or medical correlations Forget the mumbo jumbo! This guide shows you that statistical analysis with Excel can be easy, fun, and useful!

Content Marketing Strategies For Dummies

For example, you've probably seen infographics that attempt to simplify the data.
You can also use tools to create dashboards, mock‐ups, and simulations. So
how do you decide whether your data would lend itself to one of these
visualization ...

Content Marketing Strategies For Dummies

Author: Diamond

Publisher: John Wiley & Sons

ISBN: 1119154561

Page: 408

View: 184

Drive your content marketing campaign toward success Blogs and social platforms are all the rage right now—especially for strategists looking to cultivate influence among target audience members through content marketing. Content Marketing Strategies For Dummies explains how you can use content marketing to gain an edge over your competition, even in the most crowded of marketplaces. This timely text introduces you to the Five C Cycle: Company Focus, Customer Experience, Content Creation, Channel Promotion, and Closed-Loop Analysis. The Five C Cycle drives the creation and documentation of a targeted content marketing strategy, and allows you to approach your content marketing campaign with confidence. By helping you determine your company's focus, uncover your customers' experience with data, develop channel promotions across social platforms, create actionable online content, and use closed-loop analysis to build on previous success, this will become your go-to content marketing guide. Content marketing entails creating and curating content online via blog posts, social media platforms, and more. The goal is to acquire and retain customers by creating content that brings value to their lives, and that encourages them to engage with your brand. This easy-to-understand guide will help you do just that. Analyze customer data to better understand your target audience's journey Leverage social platforms, such as Facebook and Twitter, to develop channel promotions Create and curate intelligent, engaging content that leads to action Build upon your previous success with closed-loop analysis Whether you work for a large corporation, are part of a small business, are a solo thought leader, or are an educator, Content Marketing Strategies For Dummies tells you how to gain a critical, competitive advantage through targeted content marketing strategies.

Data Visualization with JavaScript

To do that, we can create a dummy chart with no visible data, position that
dummy chart below the bottom chart, and enable labels on its x-axis. The
following three sections create an array of dummy data, create a <div> to hold the
dummy ...

Data Visualization with JavaScript

Author: Stephen A. Thomas

Publisher: No Starch Press

ISBN: 1593276052

Page: 365

View: 473

You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web? In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time. Then you'll move on to more advanced topics, including how to: Create tree maps, heat maps, network graphs, word clouds, and timelines Map geographic data, and build sparklines and composite charts Add interactivity and retrieve data with AJAX Manage data in the browser and build data-driven web applications Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.

Plant Based Diet For Dummies

Apple & Mac iPad For Dummies , 6th Edition 978-1-118-72306-7 Personal
Finance For Dummies , 7th Edition ... in - One For Dummies , Data Visualization
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Plant Based Diet For Dummies

Author: Marni Wasserman

Publisher: John Wiley & Sons

ISBN: 1118830679

Page: 368

View: 701

Get healthy, lose weight, and feel great on a plant-based diet The benefits of a plant-based diet have been publicized far and wide, and you can no longer deny it—you're fully ready to experience the health benefits of this lifestyle. Plant-Based Diet For Dummies has been created to help even the most stubborn carnivores adapt to and even learn to find joy in a plant-based diet. Besides providing useful tips, delicious recipes, and meal ideas, this lively resource discusses all you have to gain from adopting healthier eating habits, including a decreased risk for cancer, a lower risk of heart disease and stroke, a lower cholesterol count and blood pressure, and a lower risk, and prevention, of diabetes. A meat-free lifestyle has many benefits for your body, and author Marni Wasserman takes you on a journey of discovery into the exciting world of fruits, vegetables, and other nutrient-rich foods. A plant-based diet, while similar to vegetarian and vegan diets, is different in that it allows an individual to experience the benefits of vegetarianism without focusing on the politics of a meat-free lifestyle. This book takes the mystery out of adopting better food habits and making better meal choices. It shows you how to stock your kitchen, cook fantastic meals, and discover the wealth of delicious ingredients at your fingertips. Discusses how to improve energy, lower cholesterol, and protect the body's cells, all through better diet options Includes more than 40 mouthwatering recipes and sample menu plans Gives specific advice and instructions for athletes, those battling illnesses, expectant parents, seniors, and children Covers which plant foods are good sources of fat, protein, complex carbohydrates, and fiber Get healthy, lose weight, and feel great on a plant-based diet.

Data Science Programming All In One For Dummies

This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Data Science Programming All In One For Dummies

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 1119626110

Page: 768

View: 557

Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Better Data Visualizations

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.

Better Data Visualizations

Author: Jonathan Schwabish

Publisher: Columbia University Press

ISBN: 0231550154

Page:

View: 304

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.

Excel 2019 All in One For Dummies

The book covers importing data, building and editing worksheets, creating formulas, generating pivot tables, and performing financial functions, what-if scenarios, database functions, and Web queries.

Excel 2019 All in One For Dummies

Author: Greg Harvey

Publisher: John Wiley & Sons

ISBN: 111951794X

Page: 816

View: 533

Make Excel work for you Excel 2019 All-In-One For Dummies offers eight books in one!! It is completely updated to reflect the major changes Microsoft is making to Office with the 2019 release. From basic Excel functions, such as creating and editing worksheets, to sharing and reviewing worksheets, to editing macros with Visual Basic, it provides you with a broad scope of the most common Excel applications and functions—including formatting worksheets, setting up formulas, protecting worksheets, importing data, charting data, and performing statistical functions. The book covers importing data, building and editing worksheets, creating formulas, generating pivot tables, and performing financial functions, what-if scenarios, database functions, and Web queries. More advanced topics include worksheet sharing and auditing, performing error trapping, building and running macros, charting data, and using Excel in conjunction with Microsoft Power BI (Business Intelligence) to analyze, model, and visualize vast quantities of data from a variety of local and online sources. Get familiar with Worksheet design Find out how to work with charts and graphics Use Excel for data management, analysis, modeling, and visualization Make sense of macros and VBA If you’re a new or inexperienced user looking to spend more time on your projects than trying to figure out how to make Excel work for you, this all-encompassing book makes it easy!

Data Analytics for Absolute Beginners a Deconstructed Guide to Data Literacy

Topics covered in this book: Data MiningBig DataMachine Learning Alternative Data Data ManagementWeb ScrapingRegression AnalysisClustering AnalysisAssociation AnalysisData VisualizationBusiness Intelligence

Data Analytics for Absolute Beginners  a Deconstructed Guide to Data Literacy

Author: Oliver Theobald

Publisher:

ISBN: 9781081762469

Page: 88

View: 893

While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence

Learning Tableau 2020

With this updated edition, you will develop a firm grip on data visualization using Tableau 2020 and master all of the core features that enable you to explore, prepare, fix, and present data quickly and easily.

Learning Tableau 2020

Author: Joshua N. Milligan

Publisher: Packt Publishing Ltd

ISBN: 1800203721

Page: 576

View: 646

Thousands of enterprises worldwide use Tableau as the solution for their data issues, big and small. With this updated edition, you will develop a firm grip on data visualization using Tableau 2020 and master all of the core features that enable you to explore, prepare, fix, and present data quickly and easily.

Excel Data Analysis For Dummies

Most businesses are drowning in data, and making sense of it all is critical. Excel is a powerful data analysis tool, and this book shows you how to use it and become a data deciphering expert.

Excel Data Analysis For Dummies

Author: Stephen L. Nelson

Publisher: John Wiley & Sons

ISBN: 1119077168

Page: 384

View: 819

Want to take the guesswork out of analyzing data? Let Excel do all the work for you! Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool. This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel's statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you're up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization. Excel is the most popular business intelligence tool in the world, and the newest update – Microsoft Excel 2016 – features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking. Fully updated to cover the latest updates and features of Excel 2016 Learn useful details about statistics, analysis, and visual presentations for your data Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand With Excel Data Analysis For Dummies, 3rd Edition, you'll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages.

Storytelling with Data

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.

Storytelling with Data

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002060

Page: 288

View: 248

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!

R For Dummies

Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners.

R For Dummies

Author: Andrie de Vries

Publisher: John Wiley & Sons

ISBN: 1119963133

Page: 408

View: 123

Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you

Fundamentals of Data Visualization

This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.

Fundamentals of Data Visualization

Author: Claus O. Wilke

Publisher: O'Reilly Media

ISBN: 1492031054

Page: 390

View: 392

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story