Analyze A/B Test Results
Introduction
The project consists in creating a jupyter notebook to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. The goal is to work through the notebook to help the company understand whether if they should implement this new page, keep the old page, or run the experiment longer to make their decision.
Learning objectives
Understand the results of an A/B test run by an e-commerce website.
Analysis Description
Contents
.ipynb file where the analysis has been developed, contains code with Markdown cells from Jupyter Notebook. .html file output of the .ipynb converted to web version for easy viewing .csv files with the data used to conduct the analysis
Pre-requisites
No installation is needed to view the analysis. To reproduce the project an installation of Python 3.5 and the following libraries is needed:
- pandas
- NumPy
- Matplotlib
- csv A link to instructions written by me in a blog post here