Toyin L. Ola

Intro

Toyin L. Ola, MA, MPH, MSW is a public health data analytics professional with experience wrangling, aggregating, and visualizing tabular, survey, and geospatial data and building data products. To date, her work has involved designing data collection proccess and tools, streamlining quarterly reporting using the Qualtrics platform's application programming interface (API) and R Markdown, generating static and interactive geospatial visualizations using R, and more. See Toyin's work and educational experience on LinkedIn.

At work and in her free time, Toyin enjoys honing her technical skills and learning from fellow open source enthusiasts. She is currently on a mission to learn natural language processing (NLP) techniques and JavaScript, especially D3. Check out some of Toyin's sample projects to get a feel for her skills.

Projects

Shiny Web Application | This is a first attempt at a Shiny app using a December 2021 TidyTuesday dataset. Within the app, data can be filtered using a set of three dependent filters. The data are displayed in an interactive {ggiraph} bubble chart and a reactable. Styling was made easy using {bslib}, the Bootswatch minty theme, and the Colorgorical tool. See app code on GitHub.

Static Data Viz Gallery | This is a small collection of non-interative data visualizations created using {sf}, {ggplot2}, and ggplot extension packages. Skills gleaned from R for the Rest of Us' Mapping with R course were also applied to create a few choropleth maps.

Bakeries Map | This sample project showcases web scaping, geocoding, and mapping. The result is a flexdashboard featuring an interactive {leaflet} map of bakeries in the Richmond, Virginia metropolitan area. A searchable reactable is included for those who want to access the data in that format. The {crosstalk} package is used to enable interactivity while maintaining a self-contained product that can be readily shared without needing a server or a live R session.

About

Toyin (she/her) is passionate about evaluating health programs and delivery systems with the aim of making them more efficient and effective for their intended beneficiaries. She strives to understand and elucidate the social and behavioral determinants of health and to help individuals navigate life with chronic illness.

Contact

Contact Toyin via LinkedIn.

• LinkedIn
• GitHub

Elements

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