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The goal of portfoliodown is to make it painless for data scientists to create polished data science project portfolios, and ultimately help them land high-quality interviews and great careers.

Example Data Science Portfolio

You can quickly view an example data science portfolio that I’ve set up here: https://mattdancho.netlify.app/. This is the default portfolio that comes with portfoliodown.

Example Portfolio - Raditian Theme

Getting Started

First, load portfoliodown.

Next, run the new_portfolio_site() function, which will install a directory of files that are used to create the Data Science Portfolio Template.

Next, serve the site using serve_site() to view what the website will look like once deployed. You can run stop_server() or restart the R session to stop serving. The website will be served at localhost:4321 or a similar URL.

Customizing the Website

Under the hood, the portfoliodown website is simply a blogdown website without a blog. Therefore, the site can be updated just like a Blogdown site. A great reference is Blogdown: Creating Websites with R Markdown.

We’ll cover a few key aspects of customization.

config.yaml

The config.yaml identifies the overall aspects of the website including:

  1. Params: Google Tag Manager, Logo, Sections (section order can be adjusted here)

  2. Menu: Modifies the navbar tabs and order.

homepage.yml

Navigate in the directory to data > homepage.yml, where the main sections of the website can be updated.

  • enable: In general, you can toggle visibility of a section by setting to true/false

  • Content: You can modify all of the section content. The layout will stay the same, but the text, images and buttons can be modified.

Deployment

Deployment is recommended in two steps:

  1. Push your website to Github: Use use_github() to push the repository from your local machine to the remote GitHub site.

  2. Connect Netlify to GitHub & Publish: Netlify has options for free hosting of websites. Simply create an account. Then connect Netlify to GitHub. Select the GitHub repo containing your website. Then deploy.

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