Ben Kates 👋 (he/him)
😁 Nice to meet you! I'm Ben, a data visualization developer working at the Urban Institute. I help communicate research findings by building data visualizations for Urban features, Urban Wire posts, and other Urban products using JavaScript (Svelte, D3.js, React) and R (tidyverse, ggplot2). I am also a co-organizer of the Philadelphia Data Visualization Meetup.📊 Before joining Urban in February 2023, I worked with clients across industries at analytics consulting firm CompassRed (acquired by LabWare in 2022) after starting my career as an e-commerce analyst with Burlington (formerly Burlington Coat Factory).⚡ Whether it's working with teams in research, non-profits, ecommerce, state & county government, professional services, healthcare, and more, understanding client needs and building them great data products is close to my heart!😄 I am based in Philadelphia, PA, make music on my YouTube channel, and play saxophone in my band Therapy Dawg!✍️ view my blog posts and presentations
📊 Data Apps
WorkRise: Where is the Low-Wage Workforce? (Svelte + Mapbox)
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).
Urban Institute: Supporting North Carolina’s Immigrant Families (Svelte + Datawrapper)
Researchers at the Urban Institute conducted interviews with and aggregated data on immigrant families in North Carolina to identify barriers to safety net participation. This project page includes a data tool to explore state and county-level information on immigrant status, region of origin, English proficiency, and other characteristics.The data tool project leverages Datawrapper for the map visualization and the accompanying chart interaction JavaScript, which enables message dispatching.
Getting a Good Job Depends More on Race and Gender than Education (SvelteKit + Layer Cake)
Researchers at the Urban Institute looked at how six groups of people (Black women, Black men, Latinx women, Latinx men, White women, and White men) were crowded into jobs of differing quality. This unique research data allowed me to dive deep into exploration of visual forms that help underline the occupational segregation that exists for non-White male individuals.This project utilizes Layer Cake for visualization management, d3-force for the node simulation, and svelte-scroller for scrollytelling.
What's in My YouTube History: Music
(React + MUI)
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)
📝 Infographics
WorkRise: Who is the Low-Wage Workforce?
(ggplot2 + SvelteKit)
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 ggplot2, using svglite to export as svg, and rendered in SvelteKit to add alt text and CSS like fonts and full width definition.
Self-Care Analytics Infographic
(Looker Studio)
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!
Music in a Virtual World Infographic
(Looker Studio)
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.
Makeover Monday: Visualizing the Emoji Mashup Twitter Bot
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 D3.js and I recreated the post in JavaScript.