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An accessible primer on how to create effective graphics from data
This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.
Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective 'small multiple'
An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using
An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using
Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python
Create and publish your own interactive data visualization projects on the web--even if you have little or no experience with data visualization or web development. It's inspiring and fun with this friendly, accessible, and practical hands-on introduction. This fully updated and expanded second
DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book
A critical introduction to the sociology and politics of Emile
This is a 'how to' book for scientific visualization. SciViz has not been covered in an approachable form (other than in compilations of research papers) since Brodlie's seminal work 'Scientific Visualization: Techniques and Applications' in 1992. This book does not treat the subject as a subset of
A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to
Literary Theory: A Practical Introduction, Third Edition, presents a comprehensive introduction to thefull range of contemporary approaches to the study of literature and culture, from formalism, structuralism, and historicism to ethnic, gender, and science studies.Introduces students to a variety
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for
Chapter 1. Introduction to Data ScienceNo of pages: 10This chapter introduces the reader to data science, and describes the major stages of working with data (collect, explore, preprocess, visualize, predict, and infer knowledge). It sets the common expectations what constitutes a data science
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates 'the infinitesimal, incomplete, imperfect, yet exquisitely human details of life,' in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year,
A Readable, Updated Introduction to Textual CriticismThis accessibly written, practical introduction to Old Testament textual criticism helps students understand the discipline and begin thinking through complex issues for themselves. The authors combine proven expertise in the classroom with
A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization
The Data Visualization Sketchbook, the latest addition to bestselling author Stephanie D.H. Evergreen's arsenal of data viz tools, provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats including a project page,
Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background
Now completely revised, Practical Electronics: A Complete Introduction covers the key areas of electronics you need to be confident in, whether you are a keen amateur hobbyist, an engineering student or a professional who wants to keep up to date. It outlines the basics in clear jargon-free English
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
Make the Leap From Beginner to Intermediate in Python...Python Basics: A Practical Introduction to Python 3Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample ProjectsWhat should you learn about Python in the beginning to get a strong foundation? With Python Basics,
Reiki: Hands That Heal is a perfect introduction to Reiki and a useful workbook for practitioners at all levels. As an introduction, Joyce Morris outlines the history and general principles of Reiki, and her lineage to the tradition. For the practitioner and those who want to learn more about
Tell Insightful, Actionable Business Stories with Tableau, the World's Leading Data Visualization Tool Visual Data Storytelling with Tableau brings together knowledge, context, and hands-on skills for telling powerful, actionable data stories with Tableau. This full-color guide shows how to