Build + Ship

Application Development

This page is ready to showcase portfolio sites, web apps, data tools, and other software projects. It is also structured to let you connect each build to source code, design choices, and any analysis or scripting that supports it.

What This Page Can Showcase

You mentioned wanting to include this site, future applications, and relevant R code. This layout supports all three without needing a separate redesign later.

  • Feature this portfolio site as a real project with goals, structure, accessibility, and design decisions.
  • Add standalone web apps or software tools with screenshots, demos, and source links.
  • Attach R code to the projects where it matters most instead of burying it somewhere separate.

Good Fit For This Page

This page works well for websites, small tools, interactive apps, reporting utilities, and coding-heavy project write-ups. If a project includes code, analysis, and a user-facing output, it belongs here.

This Portfolio Website

This is a ready-made slot for the site you are building right now.

  • Goal: Present research, dashboards, coding work, and contact information in one portfolio.
  • Stack: HTML, CSS, and JavaScript.
  • Focus Areas: Shared layout system, accessibility, mobile responsiveness, and portfolio storytelling.
  • What To Highlight: Custom navigation, shared styling, research project structure, and future dashboard/app sections.
  • Code Link: [Add GitHub repository or code snapshot link here.]
View Site

[Web App or Software Project]

Use this for your next coded project, whether it is a web app, utility, interactive tool, or software workflow.

  • Goal: [What problem did the app solve?]
  • Users: [Who was it built for?]
  • Stack: [HTML / CSS / JavaScript / R / Python / SQL / other]
  • Key Decisions: [What was technically or conceptually important?]
  • Outcome: [What did the final tool let users do?]
  • Code Link: [GitHub or file link]

R Code Showcase

This gives you a place to share R code in a way that feels connected to your projects instead of separate from them.

  • Best Use: Link R scripts to research projects, dashboards, or reproducible analyses.
  • Good Content: Cleaning scripts, plotting workflows, models, report generation, or Shiny app logic.
  • How To Present It: Short explanation, small code sample, and a link to the full script or repository.
# Example project note library(tidyverse) results <- survey_data %>% filter(!is.na(group)) %>% group_by(group) %>% summarize(mean_score = mean(score, na.rm = TRUE))

Where Code Can Live On The Site

  • Inside App Projects: Best for code directly tied to a tool or website.
  • Inside Dashboard Projects: Good for R, SQL, or Python that powers visuals or reporting logic.
  • Inside Research Projects: Best for methods or analysis scripts tied to a specific study.
  • Future Code Page: Useful later if you want a central page for R, Python, and SQL samples.

Next Projects You Could Add

You could use this page for this portfolio site, a future R Shiny dashboard, a JavaScript data explorer, a survey reporting tool, or any lightweight research-support app you build later.