Today, I finished my credit risk modeling article! I've posted it on Medium here. As I've written each technical article, I've noticed that the process of explaining complex topics has become slightly easier, almost like I'm training a muscle in my brain whose focus is clear explanation. With an article on cryptocurrency, an article on neural networks, and an article on credit risk modeling with machine learning, I feel that I've produced a nice set of high-quality learning resources related to topics that I love. Today, I spent most of my day diving into a dataset I found on illicit drug use throughout the US! My next article will be slightly different from my previous articles. While my previous three articles were long-winded explanations of complex technical topics, this article will be a compact statistical analysis, making use of plenty of charts. My goal in performing this analysis is to investigate trends in the use of non-methamphetamine stimulants, such as Adderall and Ritalin. These stimulants have acquired a reputation for being commonly used by college students while the students study for exams, and I'd like to investigate this phenomenon more closely and communicate my results. I spent much of today exploring the contents of the dataset and getting a feel for the types of questions I'll ask of the data. I found the data here, and it's available for anyone to freely use for educational purposes. This is the biggest dataset I've ever worked with; it has almost 70,000 rows and over 3,000 columns. Fortunately, I have significant experience using Python and a variety of libraries for python to manipulate large datasets, so exploring this data was the perfect opportunity for me to practice these skills and prepare to utilize them to make this huge dataset understandable. I'm generating all graphs that I'll use in my article on my own using Python. Tomorrow, I'll do all of my analysis and generate all the graphs that I'll use in my article!
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Jeremy MahoneyImpromptu teacher, lover of learning, and admirer of the universe ArchivesCategories |