Chapter 9. Data visualization to the end user

 

This chapter covers

  • Considering options for data visualization for your end users
  • Setting up a basic Crossfilter MapReduce application
  • Creating a dashboard with dc.js
  • Working with dashboard development tools
Application focused chapter

You’ll notice quickly this chapter is certainly different from chapters 3 to 8 in that the focus here lies on step 6 of the data science process. More specifically, what we want to do here is create a small data science application. Therefore, we won’t follow the data science process steps here. The data used in the case study is only partly real but functions as data flowing from either the data preparation or data modeling stage. Enjoy the ride.

Often, data scientists must deliver their new insights to the end user. The results can be communicated in several ways:

9.1. Data visualization options

 
 
 

9.2. Crossfilter, the JavaScript MapReduce library

 
 
 
 

9.3. Creating an interactive dashboard with dc.js

 

9.4. Dashboard development tools

 

9.5. Summary

 
 
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