Fullstack D3 and Data Visualization - by Amelia Wattenberger (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Build beautiful data visualizations with D3</p><p>The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations.</p><p>Learn how to quickly turn data into insights with D3</p><p>We have the data. But it needs to be understood by humans. The best way to convert this data into an understandable format is to mold it into a data visualization.</p><p>And <strong>D3 is the best tool for job if you need to create custom data visualizations.</strong></p><p>With <em>Fullstack D3 and Data Visualization</em> you and your team will be able to share key insights, uncover problems before they start, and impress your boss by creating gorgeous visualizations.</p><p>What's Inside</p><p><strong>Chapter 0: Introduction When would you want to use D3.js?</strong></p><p>There is a spectrum of libraries to create charts on the web: on one end, you have easy-to-use, basic libraries that will create a standard chart type.</p><p><strong>Chapter 1: Making your first chart</strong><br /> In this chapter we make a line chart. Line charts are a great starting place because of their popularity, but also because of their simplicity.</p><p><strong>Chapter 2: Making a scatterplot</strong><br /> When looking at the relationship between two metrics, a scatterplot is a good choice. In this chapter we show how to create a scatterplot.</p><p><strong>Chapter 3: Making a bar chart</strong><br /> In this chapter we cover how to create a histogram, which is a bar chart that shows the distribution of one metric, with the metric values on the x axis and the frequency of values on the y axis.</p><p><strong>Chapter 4: Animations and Transitions</strong><br /> When we update our charts, we can animate elements from their old to their new positions. These animations can be visually exciting, but more importantly, they have functional benefits.</p><p><strong>Chapter 5: Interactions</strong><br /> The biggest advantage of creating charts with JavaScript is the ability to respond to user input.</p><p><strong>Chapter 6: Making a map</strong><br /> Maps are also uniquely good at answering geography-based questions. In this chapter, we'll build a map and learn how to plot values within a location.</p><p><strong>Chapter 7: Data Visualization Basics</strong><br /> Now that we're comfortable with how to create a chart, we should zoom out a bit and talk about what chart to create. </p><p><strong>Chapter 8: Common Charts</strong><br /> In this chapter, we talk about common chart types and when to use them. </p><p><strong>Chapter 9: Dashboard Design</strong></p><p>A dashboard is any web interface that makes sense out of dynamic data, and in this chapter we learn how to make one.</p><p><strong>Chapter 10: Advanced Visualization: Marginal Histogram</strong><br /> First, we'll focus on enhancing a chart we've already made: our scatter plot. This chart will have multiple goals, all exploring the daily temperature ranges in our weather dataset.</p><p><strong>Chapter 11: Advanced Visualization: Radial Weather Chart</strong><br /> We talked about radar charts in Chapter 10. For this project, we'll build a more complex radar chart.</p><p><strong>Chapter 12: Advanced Visualization: Animated Sankey Diagram</strong><br /> In this project, we'll be simulating real data and creating an animated diagram to engage our viewers. </p><p><strong>Chapter 13: D3 and React</strong><br /> What's the best way to draw a chart within React? It turns out that there is a fair bit of overlap in functionality between a React and D3 - we'll discuss how we can create blazing fast charts using the two together.</p><p><strong>Chapter 14: D3 and Angular</strong><br /> In this chapter we show how to create optimized SVG charts using D3 and Angular.</p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>"I always wondered how I would even start to build something in D3 and now I finally know - this is an awesome book!<br /> Personalizing the data so my charts are my charts.<br /> As a D3 newbie, I couldn't appreciate just how useful this would be. <strong>Amazing</strong>."<br /> - Sergio Sánchez<br /> <em>Founder at Tacosdedatos</em></p><p>"<strong>I loved the chapter on dashboards.</strong> Having built many dashboards over the years, <strong>this is what brought it all together for me.</strong>"</p><p>- Steven Williams<br /> <em>Senior Frontend Engineer at Tallgrass Freight Company</em></p><p>"This book reads really well. Generalizing code is not commonly addressed in D3 books geared towards beginners. Thank you for doing that Amelia! <strong>Great work</strong>!"<br /> - Leandro Collares<br /> <em>Software Developer</em></p><p>"Just did my first scrollytelling experiment using d3.js + javascript for scroll events! <strong>Can't believe it!!</strong>"<br /> - Guillermina Sutter Schneider<br /> <em>Research & Project Manager at Cato Institute</em></p><p>"I really like that this book gets you <strong>creating a MVP chart within 1 chapter</strong>"<br /> - Cameron Yick<br /> <em>Software Engineer, Data Visualization at Datadog</em></p><p>"The course has been amazing so far! It has <strong>a great balance</strong> between educating about dataviz, explaining methodologies, and letting us know which bits are syntactic sugar. Loving the course!"<br /> - Marguerite Roth<br /> <em>Design Lead at Parse.ly</em></p><p>"I was a D3 newbie, but couldn't wait to learn it. Now I understand why people in general say that D3 is quite difficult to learn. Lots of new concepts, but I made it through and I am still having fun! <strong>Amelia is a great teacher.</strong>"<br /> -Ralph Spandl<br /> <em>Information Architect at r42 communication</em></p><br>
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