Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Histogram

The video tutorial explains how to plot histograms to visualize data distribution. It begins by generating random numbers from a standard normal distribution and demonstrates plotting a histogram using PLT.hist. The tutorial then discusses improving histogram detail by adjusting the number of bins and verifying the data's normal distribution. Finally, it explores whether the random function samples from a uniform distribution by generating data and plotting another histogram.

What can you infer about the distribution of data when you see a bell curve centered around zero?

How does the random function sample from the uniform distribution, and what does the resulting histogram look like?