Elizabeth Shope

Data Visualizations

Electricity Generation Sources Over Time

This stacked barplot visualization shows how the mix of sources with which the United States generates electricity has evolved over time. Built with: Python, Plotly.

Cancer Incidence and Mortality in the United States

This compound visualization shows the breakdown of cancer rates by year and gender from 1999-2014, 2014 cancer rates by gender and race, and 2014 cancer rates by gender and leading site. Built with: R, ggplot2.

Terrorism Mapping

Here, we look at where terrorism incidents occurred globally in 2016. We also take a deeper dive into Iraq and its terrorism history over time. Built with: R, Leaflet, Tableau.

Terrorism Sankey Network

Here, we use a Sankey Network to inspect the mapping between different regions of the world and different types of terrorism attacks. Built with: R, NetworkD3.

Capital Bikeshare Hourly Usage

This time series visualization shows hourly trip counts over the course of three different weeks. You can use a slider and other tools to zoom in on different portions of time. Built with: Python, Plotly.

Capital Bikeshare Resident vs. Tourist Riders

This set of visualizations shows how resident vs. tourist usage of Capital Bikeshare differs. The visualizations use data from September 2016 and consider the number of trips taken each day for the two groups, the average trip lenth each day, and the most frequent stations for starting trips for the two groups. Built with: R, ggplot2.

The Link Between Poverty and Education

This visualization shows the link between poverty and education in the United States. In the U.S. states, there is a strong positive correlation between rates of adults without a high school diploma and poverty rates. This visualization also shows the disparity between education and poverty levels in the North and South. Built with: Tableau.

World Happiness Exploration

This dashboard shows happiness levels around the world, lets you explore which countries are the happiest and least happy, and see which factors are most correlated with happiness levels. Built with: Tableau.

About Me

I have spent my career focused on creating positive change in the world. Currently, I am a Senior Data Scientist at Persefoni, a company building greenhouse gas emissions accounting software.

As a data scientist, I am particularly interested in issues relating to sustainability and the environment, health, education, and politics. I enjoy exploratory data analysis, creating data visualizations, building machine learning models, and designing experiments.

Solving environmental problems has been a passion of mine for almost as long as I can remember. At Harvard, I persuaded the university to replace Kimberly-Clark toilet paper with 100% recycled toilet paper on Harvard’s campus; I spoke to this victory at a Kimberly-Clark shareholder meeting and encouraged them to stop clearcutting ancient forests. This and other efforts convinced Kimberly-Clark to stop sourcing from old-growth forests. Then, at the Natural Resources Defense Council, I worked with a small team to develop, run, and win the campaign against the Keystone XL tar sands oil pipeline.

More recently, I have built a data science skill set and turned my attention to the private sector, where I’ve helped to develop software for fleet vehicle electrification and greenhouse gas emissions accounting.

I graduated from Harvard University with a Bachelor’s degree in Environmental Science and Public Policy, and from Georgetown University with an M.S. in Data Science.