Ben Kates 👋 (he/him)
📊 Data Apps
The WorkRise network is an Urban Instute-hosted research initiative focused on upward mobility and the low-wage worker. This feature, along with the accompanying Who is the Low-Wage Workforce? piece, focuses on data exploration around low-wage workers across the country (median wage and low-wage worker share).
I knew there was something to glean from my YouTube history data, exported from Google Takeout after Reddit inspiration. After some EDA in R using the
tidyverse, I quickly I realized there was potential for a data app here.In building this, I dove deep into the
visx visualization package from Airbnb, the
MUI package for material UI, and the
tidyjs data transformation package (among others)
In June of 2020, Delaware's New Castle County (NCCo) Executive Matt Meyer asked CompassRed for a better visualization solution for the wastewater COVID-19 testing program.Alongside a project manager, I led the NCCo team through a 3 week sprint to prototype and build a Shiny app that included an interactive
leaflet visualization of the catchment areas being tested. Gathering app requirements and data details in such a short window was exciting but taught me that no matter the time crunch, the stakeholder management process for data products is the same.
The WorkRise network is an Urban Instute-hosted research initiative focused on upward mobility and the low-wage worker. This feature, along with the accompanying Where is the Low-Wage Workforce? tool, focuses on explaining demographics of the low-wage worker in the United States.Plots were created in
svglite to export as svg, and rendered in SvelteKit to add alt text and CSS like fonts and full width definition.
As part of the CompassRed blog, the team was asked to create data-related content that would not only attract visitors to the site and services, but build content that we were genuinely curious to explore and share! As someone who believes strongly in the benefits of mental health care, I explored what Google search trends were looking like shortly after the start of COVID-19 lockdown (April 2020). Nice to have some news coverage of the piece too!
After my previous infographic-style article, I wanted to continue exploring data that personally impacted me. As an avid fan of musicians on the live-streaming site Twitch and online music education in general, I knew that other people were also experiencing an increase in interest in online music communities after the COVID-19 lockdown began.Aside from Google Trends, I exported data from SullyGnome, a 3rd party Twitch analytics service.
My first blog post for CompassRed was a custom
ggplot2 infographic showing data viz on a really neat Twitter bot called "Emoji Mashup". The bot combined emojis in funny ways which resulted in hilarious expressions. Naturally, I wanted to see which mashups got the most likes and why! Fast forward to 2022 when I was learning