FlowingData.com Data Visualization Set

__Visualize This__ is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, etc and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception.__Data Points__ focuses on the approach to visualization and data. Visualization is a medium that can be used as a tool, art, a way to tell stories, etc., __Data Points__ guides readers through making data approachable through visualization techniques and best practices. The focus is on designing with a purpose in mind. __Data Points__ discusses why recipes (from the rules) work and expands on how readers can make their own recipes. The book is example-driven, featuring work from people in areas of art, design, business, statistics, computer science, cartography, and online media, as well as many of the author's own illustrations. The major sections of the book cover: * Visualization as Medium -- In the same way not all movies are documentaries, not all visualization is about optimal visual perception. * Data Representation -- There are rules across all visualization applications, such as the use of appropriate shapes to accurately represent values. * Design with Purpose -- Rules can be broken though. It all depends on who and what you're designing for. __Data Points__ digs deep into the foundations of data visualization: * Understanding Data and Visualization * Representing Data * Exploring Data Visually * Designing for an Audience * Visualizing with Clarity * Putting Everything Into Practice with Tools and Resources Cover 1 Contents 2 Visualize This 3 Contents 17 Introduction 19 Chapter 1: Telling Stories with Data 31 More Than Numbers 32 What to Look For 38 Design 43 Wrapping Up 50 Chapter 2: Handling Data 51 Gather Data 52 Formatting Data 68 Wrapping Up 82 Chapter 3: Choosing Tools to Visualize Data 83 Out-of-the-Box Visualization 84 Programming 92 Illustration 106 Mapping 110 Survey Your Options 118 Wrapping Up 119 Chapter 4: Visualizing Patterns over Time 121 What to Look for over Time 122 Discrete Points in Time 123 Continuous Data 148 Wrapping Up 162 Chapter 5: Visualizing Proportions 165 What to Look for in Proportions 166 Parts of a Whole 166 Proportions over Time 191 Wrapping Up 207 Chapter 6: Visualizing Relationships 209 What Relationships to Look For 210 Correlation 210 Distribution 230 Comparison 243 Wrapping Up 256 Chapter 7: Spotting Differences 257 What to Look For 258 Comparing Across Multiple Variables 258 Reducing Dimensions 288 Searching for Outliers 295 Wrapping Up 299 Chapter 8: Visualizing Spatial Relationships 301 What to Look For 302 Specific Locations 302 Regions 315 Over Space and Time 333 Wrapping Up 355 Chapter 9: Designing with a Purpose 357 Prepare Yourself 358 Prepare Your Readers 360 Visual Cues 363 Good Visualization 370 Wrapping Up 371 Index 373 Data Points: Visualization That Means Something 389 About the Author 397 Acknowledgments 398 Contents 399 Introduction 401 Chapter 1: Understanding Data 407 What Data Represents 408 Variability 426 Uncertainty 436 Context 441 Wrapping Up 447 Chapter 2: Visualization: The Medium 449 Analysis and Exploration 451 Information Graphics and聽Presentation 464 Entertainment 475 Data Art 480 The Everyday 487 Wrapping Up 495 Chapter 3: Representing Data 497 Visualization Components 499 Putting It Together 521 Wrapping Up 538 Chapter 4: Exploring Data Visually 541 Process 542 Visualizing Categorical Data 549 Visualizing Time Series Data 560 Visualizing Spatial Data 571 Multiple Variables 582 Distributions 595 Wrapping Up 605 Chapter 5: Visualizing with Clarity 607 Visual Hierarchy 608 Readability 611 Highlighting 627 Annotation 634 Do the Math 641 Wrapping Up 644 Chapter 6: Designing for an Audience 647 Common Misconceptions 648 Present Data to People 660 Things to Consider 664 Putting It Together 674 Wrapping Up 679 Chapter 7: Where to Go from Here 683 Visualization Tools 684 Programming 689 Illustration 694 Statistics 695 Wrapping Up 695 Index 697 Visualize This is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, etc and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception. Data Points focuses on the approach to visualization and data. Visualization is a medium that can be used as a tool, art, a way to tell stories, etc., Data Points guides readers through making data approachable through visualization techniques and best practices. The focus is on designing with a purpose in mind. Data Points discusses why recipes (from the rules) work and expands on how readers can make their own recipes. The book is example-driven, featuring work from people in areas of art, design, business, statistics, computer science, cartography, and online media, as well as many of the author's own illustrations. The major sections of the book cover: Visualization as Medium -- In the same way not all movies are documentaries, not all visualization is about optimal visual perception. Data Representation -- There are rules across all visualization applications, such as the use of appropriate shapes to accurately represent values. Design with Purpose -- Rules can be broken though. It all depends on who and what you're designing for. Data Points digs deep into the foundations of data visualization: Understanding Data and Visualization Representing Data Exploring Data Visually Designing for an Audience Visualizing with Clarity Putting Everything Into Practice with Tools and Resources Visualize This is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, etc and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception. Data Points focuses on the approach to visualization and data. Visualization is a medium that can be used as a tool, art, a way to tell stories, etc., Data Points guides readers through making data approachable through visualization techniques and best practices. The focus is on designing with a purpose in mind. Data Points discusses why recipes (from the rules) work and expands on how readers can make their own recipes. The book is example-driven, featuring work from people in areas of art, design, business, statistics, computer science, cartography, and online media, as well as many of the author's own illustrations. The major sections of the book cover: Visualization as Medium -- In the same way not all movies are documentaries, not all visualization is about optimal visual perception. Data Representation -- There are rules across all visualization applications, such as the use of appropriate shapes to accurately represent values. Design with Purpose -- Rules can be broken though. It all depends on who and what you're designing for. Data Points digs deep into the foundations of data visualization: Understanding Data and VisualizationRepresenting DataExploring Data VisuallyDesigning for an AudienceVisualizing with ClarityPutting Everything Into Practice with Tools and Resources ..