Abstract
In this chapter, we will talk about how to look at—to visualize—our analytical results. This is actually quite a complex process, or it can be. It’s all a matter of choosing an appropriate technology stack for the kind of visualizing you need to do for your application. The visualization task in an analytics application can range from creating simple reports to full-fledged interactive systems. In this chapter we will primarily be discussing Angular JS and its ecosystem, including the ElasticUI visualization tool Kibana, as well as other visualization components for graphs, charts, and tables, including some JavaScript-based tools like D3.js and sigma.js.
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© 2017 Kerry Koitzsch
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Koitzsch, K. (2017). Data Visualizers: Seeing and Interacting with the Analysis. In: Pro Hadoop Data Analytics . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1910-2_10
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DOI: https://doi.org/10.1007/978-1-4842-1910-2_10
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1909-6
Online ISBN: 978-1-4842-1910-2
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