Daniel Lawson

Right off the bat I can tell you that I’m not your average data analyst. I’ve spent most of my career running my own business as a photographer and videographer, with a sprinkling of Web Development and SEO work as well. My approach to life and work is very T-shaped, in that I have a small set of specific skills complemented by a very broad range of interests; I like to think of myself as a dedicated non-specialist. Data Analytics, and Programming, started as a hobby that quickly grew into a passion.

The more I leaved the more I looked for opportunities to pull, manipulate, and join data from disparate sources in my life. I learned to interact with REST APIs for services I used, personal data from services I use like Spotify, and health data captured by my devices. I learned SQL to create and query databases, as well as analyse SQLite files containing my iMessages and Photos data on my Mac. Every technique I learned opened up more possibilities; now I’m hooked and there’s no turning back.

Using ChatGPT To Parse Unstructured Text

Using ChatGPT To Parse Unstructured Text

The article discusses the problem of parsing unstructured data and the challenge it poses for data analysis. Dan proposes a solution using natural language processing (NLP) and specifically ChatGPT API, to classify parts of the text into different categories and extract the text from each category.

Alteryx Download Tool: A Simpler Approach

Alteryx Download Tool: A Simpler Approach

Preamble Parsing API Responses in Alteryx is a staple of the data analytics process, and the tool that enables is, the Download Tool is key. If you’ve had experience working with APIs then you might have use the Formula Tool to compose URLs before downloading them. If...