Story 1 : Where are you most likely to be killed by a car in Philadelphia? (Hint: Not Center City)
I collected traffic data from Pennsylvania Department of Transportation and fatality data from Philadelphia Office of Transportation and Infrastructure Systems. I cleaned and joined the two data sets in SQL and calculated the death rates in each neighborhood. Finally, I visualizaed it as an interactive map using ArcGIS.
Story 2 :E-Learning Platforms a Bright Spot Amid COVID-19’s Economic Quake
I always look to use more reliable data sources for my reporting, and this is the first time I tapped Google Trends. Combining the search interest data from Google with Coursera’s enrollment data, the chart shows a booming online learning scene during the pandemic.
Story 2 :China Opens Door Wider to Plant-Based Food With Starbucks Push
The story is about China’s alternative protein market. I made queries on PitchBook, a paid database monitoring private equity and venture capital deals. This is my go-to database when reporting the private sector.
Story 4 : Investors Continue Push For Accountability After McDonald’s Sues Ex-CEO
I want to make the point that CEOs’ pay has grown out of proportion to the economy. I collected data on CEO's compensation from the Economic Policy Institute, and computed it with their typical workers’ pay and the stock market.
Story 5: Meatpacking Robots May Rise in U.S. Due to COVID-19 Labor Shortages
We did many stories on COVID-19’s impacts on private investments, and I like this one because the topic gave me the chance to work with robust government data, rather than private data whose scope is often limited.