Fullstack D3 and Data Visualization
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Build beautiful data visualizations with D3The 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.Learn how to quickly turn data into insights with D3We 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.And D3 is the best tool for job if you need to create custom data visualizations.With Fullstack D3 and Data Visualization you and your team will be able to share key insights, uncover problems before they start, and impress your boss by creating gorgeous visualizations.What’s InsideChapter 0: Introduction When would you want to use D3.js?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.Chapter 1: Making your first chartIn this chapter we make a line chart. Line charts are a great starting place because of their popularity, but also because of their simplicity.Chapter 2: Making a scatterplotWhen looking at the relationship between two metrics, a scatterplot is a good choice. In this chapter we show how to create a scatterplot.Chapter 3: Making a bar chartIn 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.Chapter 4: Animations and TransitionsWhen 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.Chapter 5: InteractionsThe biggest advantage of creating charts with JavaScript is the ability to respond to user input.Chapter 6: Making a mapMaps are also uniquely good at answering geography-based questions. In this chapter, we’ll build a map and learn how
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