IS460: Data Visualization - Python (in Rmarkdown) Mid-Module Assignment

Mixing R and Pyhton in R Markdown

Visualization 1: Annualized Daily Returns S&P500 Returns Bar Graph

Visualization #2: Waterfall Diagram of Average Monhtly Returns

Visualization #3: S&P 500 Return Drivers

##                S_GPRDoverVIX     S_EPU  S_US3Month
## S_GPRDoverVIX       1.000000 -0.244031   -0.039933
## S_EPU              -0.244031  1.000000   -0.506946
## S_US3Month         -0.039933 -0.506946    1.000000

## (array([-20.,   0.,  20.,  40.,  60.,  80., 100., 120., 140., 160.]), [Text(-20.0, 0, '−20'), Text(0.0, 0, '0'), Text(20.0, 0, '20'), Text(40.0, 0, '40'), Text(60.0, 0, '60'), Text(80.0, 0, '80'), Text(100.0, 0, '100'), Text(120.0, 0, '120'), Text(140.0, 0, '140'), Text(160.0, 0, '160')])

Visualiation #4: Bump Chart of Top and Bottom 10 Years of Returns