For the third edition of my Exploratory Data Analysis (EDA) series, I shall be exploring the human heart, computationally. The inspiration for this topic came from a quote in the recently released film The Man Who Knew Infinity. This post looks at the heart from the perspectives of semantics, languages and translations, and anatomy.
For the second edition of my exploratory data analysis series, I shall be analysing data on trees in the city Belfast. The dataset is supplied and made accessible by Open Data NI. In this article I will be showing analysis I have done on the dataset, ranging from clustering of species to nonparametric statistical distributions.
Over the course of the summer exams period, I gathered as many datapoints as possible and played with the dataset. The aim was to find something which can be benefial to every Queen's student, in or out of exam season. In this post I will discuss what I have done so far with the ever-growing dataset, and how I'm using the Wolfram Language and other technologies such as Wolfram Data Drop and Wolfram|Alpha to store and analyse it. I hope you find this both interesting and useful.
Quite a while ago, I wrote about an application I made using api.ai, a conversational UX platform with a powerful voice recognition engine. Api.ai allows you to control your application using voice recognition, amongst other services it offers. I've been looking at how tech like this can be integrated into IoT applications. In this post, I wiill discuss an example I recently explored: turining lights on and off, using voice command.