D3.js
I led the design and development of FiveThirtyEight's "Quiet Caucuses" interactive, showing how each representative's caucus affiliation compares to their voting behavior. The visualization was based on an analysis of House votes from 2023.
D3.js
I led the design of FiveThirtyEight's 2024 election forecast and helped develop the frontend, visualizing polling uncertainty and highlighting the significance of seven swing states.
Vue.js, D3-geo (command-line interface), Excel
The idea for this quiz came from a hackathon. Census data, among other data that characterizes a location, is used to find metropolitan areas that match your needs and wants in retirement.
D3.js, Svelte, Python, Pandas
Using the National Database of Childcare Prices, I created a tool for readers to search for childcare prices by county and see how that compares to their income and the median income of that county.
Svelte, D3.js, GitHub Actions, Python
A series of interactives where I breakdown and visualize top-line economic indicators and make its components searchable.
A column where I regularly take a deep dive into one data point that is meaningful to the financial world and your money. There are so many metrics that can help us make informed financial decisions. I explain how they are derived and what we can learn from them.
D3.js, Svelte, Python, GitHub Actions
I analyzed data on total listings of single-family homes collected by Realtor.com to organize and present data in a personalized way.
D3.js, Vue, Google Sheets
By collecting data from each of the nine largest container ports in the U.S., I created a unique dataset that tells the story of how the supply chain is being affected by the changing economy, particularly from the increased demand for goods.
D3.js, Vue, Google Sheets
I analyzed data from over 200 public pension systems, identified outliers in funding ratios and put these data points into context of market conditions and legislation.
D3.js, Vue, Google Sheets
Python/pandas, Excel, Vue.js, D3.js, Google Sheets and Gmail API
I helped identify six daily or weekly metrics that offer near realtime updates on the state of the US economy throughout the pandemic. I set up a cron that gathers information from emailed weekly reports, FRED, and government agencies. I designed and built the interface.
Python/BeautifulSoup
I searched the SEC's EDGAR database using Python and BeautifulSoup to find mentions of crypto-related words in Form D filings with the SEC, which is where some companies are initiating ICOs
Python/pandas, Excel, OpenRefine, Vue.js
Looking at FEC data, I identified CEOs of S&P 500 companies for the 2018 reporting cycle using Python to fetch and format the data, OpenRefine to standardize last names and employers and Excel to analyze the data. I built the interactive with Vue.js.
Python, D3.js, JavaScript
I wrote a script that calculated the make-up of PCE inflation and could be run every month after the Commerce Department's release of the figures. I also contributed to the frontend design and development of the tool.
Bootstrap Tables, Handlebars.js
The State Department released Hillary Clinton's emails from the time when she was secretary of state on a monthly schedule. I implemented Bootstrap Tables and server-side pagination to improve load time. Features include the ability to search by certain senders/recipients and popular search terms to guide users on what to search for.