This is a preview. Log in through your library . Abstract Exploratory data analysis (EDA) and Bayesian inference (or, more generally, complex statistical modeling)-which are generally considered as ...

In most litigation matters requiring complex data analytics, our consultants receive vast quantities of data with little to no information regarding its contents. The volume of data alone makes a ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In the realm of data analysis, the advent of artificial intelligence has been a game-changer. One such AI tool that has revolutionized the field is ChatGPT. This article will delve into how to utilize ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Journal of Vegetation Science, Vol. 16, No. 5 (Oct., 2005), pp. 497-510 (14 pages) Questions: Are ordinal data appropriately treated by multivariate methods in numerical ecology? If not, what are the ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...