IPython Interactive Computing and Visualization Cookbook

Chapter 7. Statistical Data Analysis

In this chapter, we will cover the following topics:

• Exploring a dataset with pandas and matplotlib
• Getting started with statistical hypothesis testing – a simple z-test
• Getting started with Bayesian methods
• Estimating the correlation between two variables with a contingency table and a chi-squared test
• Fitting a probability distribution to data with the maximum likelihood method
• Estimating a probability distribution nonparametrically with a kernel density estimation
• Fitting a Bayesian model by sampling from a posterior distribution with a Markov chain Monte Carlo method
• Analyzing data with the R programming language in the IPython notebook

Introduction

In the previous chapters, we reviewed technical aspects of high-performance ...