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Graphs are an extremely versatile data structure. More so than most people realize! Graphs can be used to model practically anything, given their nature of modeling relationships and hierarchies. Nature and human creators are extremely hierarchical. Words in a sentence, and sentences in a book can be graphs - represented...

Olivera Popović

This guide is an introduction to Spearman's rank correlation coefficient, its mathematical calculation, and its computation via Python's pandas library. We'll construct various examples to gain a basic understanding of this coefficient and demonstrate how to visualize the correlation matrix via heatmaps. What Is the Spearman Rank Correlation Coefficient? Spearman...

Mehreen Saeed

Calculating a factorial of a number is a straightforward task. A factorial of a number is the product of that number (positive integer) and all positive integers lesser than that number. In other words - multiplying a number by all of the whole numbers from that number to 1. 0!...

Ruslan Hasanov

A factorial of a number is the product of that integer and all the positive integers that are lesser than or equal to it. It has to be a positive integer - otherwise, the logic extends to negative infinity. In other words - calculating a factorial means multiplying all whole...

By definition, a factorial is the product of a positive integer and all the positive integers that are less than or equal to the given number. In other words, getting a factorial of a number means to multiply all whole numbers from that number, down to 1. 0! equals 1...

Working with variables in data analysis always drives the question: How are the variables dependent, linked, and varying against each other? Covariance and Correlation measures aid in establishing this. Covariance brings about the variation across variables. We use covariance to measure how much two variables change with each other. Correlation...

Sathiya Sarathi Gunasekaran

When we're trying to describe and summarize a sample of data, we probably start by finding the mean (or average), the median, and the mode of the data. These are central tendency measures and are often our first look at a dataset. In this tutorial, we'll learn how to find...

Leodanis Pozo Ramos

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