Jude Prince Onuh

Introduction Have you ever heard of the phrase "Data is the new oil?" In a world completely driven by data, the ability to extract meaningful insights from vast amounts of data has become invaluable. Data Science, a multidisciplinary field that blends statistical analysis, machine learning, and domain expertise, is at the forefront of this transformation. It empowers organizations to make informed decisions, optimize operations, and even predict future trends.

Have you ever seen a crime scene? Exploratory Data Analysis (EDA) is like the detective work of data science. Before the exciting phase of modelling and predictions in data science, there is always the need first to understand the data you're working with. Like a crime detective, this phase is all about the following: Understanding Your Data Begin by figuring out what kind of data you are working with. Are you dealing with integers, floats, categories (objects), dates, or something else?

1. Introduction Botulinum neurotoxins (BoNTs) are produced by the anaerobic spore-forming bacteria Clostridium botulinum and cause neuromuscular paralysis (i.e., botulism) by proteolytic cleavage of SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) proteins [1]. Eight serologically distinct BoNTs from Clostridium botulinum (BoNT/A-BoNT/G, and BoNT/X) have been identified [2,3,4] that vary in receptor [5] and substrate recognition [6].