Descriptive Statistics in Python

A probability distribution tells us the probability that a random variable takes on certain values. For example, the following probability distribution tells…

You can use the following basic syntax to perform data binning on a pandas DataFrame: import pandas as pd #perform binning with…

To center a dataset means to subtract the mean value from each individual observation in the dataset. Once you’ve centered a dataset,…

To normalize a matrix means to scale the values such that that the range of the row or column values is between…

In statistics, the Kullback–Leibler (KL) divergence is a distance metric that quantifies the difference between two probability distributions. If we have two…

The term bivariate analysis refers to the analysis of two variables. You can remember this because the prefix “bi” means “two.” The purpose of…

The term univariate analysis refers to the analysis of one variable. You can remember this because the prefix “uni” means “one.” There are…

You can use the following function in Python to calculate the monthly payments necessary to pay off a certain loan, given the…

We can use the following compound interest formula to find the ending value of some investment after a certain amount of time:…

To solve a system of equations in Python, we can use functions from the NumPy library. The following examples show how to…