References

• 21 Essential Data Visualization Tools: http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html

• Apache Zeppelin notebook home page: https://zeppelin.apache.org/

• Jupyter notebook home page: https://jupyter.org/

• Using IPython Notebook with Apache Spark: http://hortonworks.com/hadoop-tutorial/using-ipython-notebook-with-apache-spark/ 

• Apache Toree, which enables interactive workloads between applications and Spark cluster. Can be used with jupyter to run Scala code: https://toree.incubator.apache.org/

• GoogleVis package using R: https://cran.rproject.org/web/packages/googleVis/vignettes/googleVis_examples.html

• GraphX Programming Guide: http://spark.apache.org/docs/latest/graphx-programming-guide.html

• Going viral with R's igraph package: https://www.r-bloggers.com/going-viral-with-rs-igraph-package/

• Plotting with categorical data: https://stanford.edu/~mwaskom/software/seaborn/tutorial/categorical.html#categorical-tutorial

Data source citations

Bank data source (citation...