/tags/github/ Recent content in GitHub on Jack Gregory Hugo -- gohugo.io en © 2026 Jack Gregory Tue, 06 Dec 2022 09:30:00 +0000 /talk/wipo-giidb/ Tue, 06 Dec 2022 09:30:00 +0000 /talk/wipo-giidb/ An internal training session for the GII Database—part of the GII Data Pipeline. /blog/google-analytics/ Fri, 09 Sep 2022 00:00:00 +0000 /blog/google-analytics/ TL;DR In this blog, I summarize the steps necessary to set up Google Analytics on a Hugo-Apéro website. Introduction Google Analytics is a useful tool for measuring and understanding engagement with your personal website. In my experience, it is probably the most painless method for accessing detailed tracking data for a Hugo site. Helpfully, most Hugo themes come with it pre-installed through an internal template. In this blog, I’ll outline the two steps necessary to configure Google Analytics for your Hugo-Apéro website: /blog/hugo-apero-private/ Thu, 01 Sep 2022 00:00:00 +0000 /blog/hugo-apero-private/ TL;DR In this blog, I summarize the steps necessary to adapt the deployment of a Hugo-Apéro website to GitHub Pages while keeping either the content or the full website code private. Introduction This is a followup to my companion blog post titled: How to setup hugo-apéro on GitHub Pages. If you’re looking for details on how to setup your Hugo-Apéro website from scratch, I would recommend starting there. In the previous post, the setup resulted in a public GitHub repository for your website. /blog/hugo-apero/ Mon, 29 Aug 2022 00:00:00 +0000 /blog/hugo-apero/ TL;DR In this blog, I summarize the steps necessary to adapt the deployment of a Hugo-Apéro website to GitHub Pages. I also discuss how to use git submodules to include a theme dynamically. Introduction Hugo-Apéro is a Hugo theme for publishing websites using the blogdown package within R. In fact, it’s what I’m using to publish my personal site here! Even if you’ve never used Hugo or blogdown previously, the setup is fairly straightforward. /project/gii-data/ Mon, 08 Feb 2021 00:00:00 +0000 /project/gii-data/ Objective To transition the Global Innovation Index (GII) from a disjointed data collection and quality control process to an industry-standard, cloud-based pipeline that is collaborative, integrated, reproducible, standardized, secure and documented.1 See related workshop here. Description The high-level workflow of the GII can be grouped into three phases: Data; Analysis; and, Output. Figure 1 outlines these phases along with their constituent steps. Figure 1: High-level GII workflow This project focuses on the Data phase, where we collect, clean and audit all data necessary for the construction of the Index.