I did a data analytics project with a nonprofit as part of completing my Master’s degree. This project was both the largest breadth and depth of any analysis done by the organization to date, looking at everything from basic membership statistics to attendance at major events to financial contributions. The largest outcome from this was… Continue reading…
I’ve been wanting a personal data lab for several years now so I can practice data engineering; this is the culmination of that research. The goal of this project is to have a personal/home lab-style setup using open-source projects. Continue reading…
Home Assistant is arguably a staple of home labs for IoT devices and this year they’ve been running a “Year of Voice” campaign about their efforts to enable voice assistant functionality. So, I decided to take a peek and see how well it works. Continue reading…
A few years ago, Google released a neat little product called Coral, a “tensor processing unit” (TPU), aka, an AI accelerator. Targeted at IoT/embedded devices, such as a Raspberry Pi, Coral can run models using TensorFlow Lite and has enough performance to allow these devices to do some AI in a reasonable amount of time. Continue reading…
Continuing from the last post on searching the Linux manual (“man”) pages, this week I’m going to be using ElasticSearch and see how well it works. Continue reading…
Linux distributions come with a built-in documentation function through what are called “man” (manual) pages. However, reading the manual generally requires knowing the name of the program or function you’re working with. So, let’s see if we can do a little better. Continue reading…
This project is an interactive dashboard visualization of the Smithsonian Institute’s Smithsonian Open Access dataset, which contained 11.9 Million Records at time of. The dashboard allows insight into the composition of the Smithsonian’s collections, including what, when, and where items come from. Specifically, the visualization looks at the unit (such as the National Museum of… Continue reading…
This project is a narrative visualization seeking to interpret some of the information that can be obtained by looking at a museum’s collections. The dataset contains about 62,000 records including data like department, type (such as “print” or “jewelry”), and whether the item is on display. Continue reading…