How to Do Descriptive Statistics using NumPy

In this video we will learn how to do some simple descriptive statistics in Python using NumPy. Make sure you subscribe to the channel if you haven't: http://bit.ly/SUB2EM We are using NumPy to calculate the mean, standard deviation, min, max, and percentiles (i.e., 25th and 75th) We will also learn how to read a csv file into a NumPy Array. It is on this array we will do the summary statistics. » ToothGrowth DataSet: http://vincentarelbundock.github.io/Rdatasets/csv/datasets/ToothGrowth.csv » You can find more information on summary statistics using Python in this blog post: https://www.marsja.se/how-to-python-descriptives-statistics-numpy/ » Installing NumPy: https://docs.scipy.org/doc/numpy/user/install.html » Descriptiv Statistics Using Pandas: