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.
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.
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.
Vue.js, D3
A dashboard that looks at various performance metrics of the NYC Subway.
Vue.js
Amid talk of a 20% corporate tax rate, I built a tool you can use to search the effective tax rate of S&P 500 companies and sectors. It's a single-page application built with Vue.
Python
I parsed the data for a simulation that lets users move the inflation rate of different sub-categories of PCE inflation. Moving these sub-categories shows how much impact each has on the overall inflation rate and what it would take for the Fed to reach its target rate of 2%.
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.