Jupyter notebook with ipywidgets and plotly to automate the production and exploration of graphs of greenhouse gas (GHG) emissions and gross domestic product (GDP) data by country over much longer historical periods than typical, using the amazing PRIMAP-hist dataset in order to gain insight into potential high-level relationship between countries’ development and climate impact. For forthcoming paper with Eric Sanderson and Johannes Gütschow.

Things I do/did: Jupyter notebook setup on AWS, all coding
Tools/tech involved: Jupyter, iwidgets, plotly, numpy, pandas