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🔬 Analyze A/B Test Results Project - Binder

This is the project submission file for the Analyze A/B Test Results project for the Udacity Data Analyst Nanodegree. The project involves using probabililty, a/b testing, and regression analysis on a dataset.

Table of Contents

Overview

In this project several statistical analysis tools are used to provide insights into the dataset. The dataset, contained in the file ab_data.csv shows values for whether visitors to a web page clicked on a link on the page, and is divided into control versus treatment groups where the control groups visited the original landing page for the website, while the treatment group was sent to a new site. Please note that there is an issue with the files in this repository, and right now the correct Jupyter Notebook file for this project is in the folder, submit-acc01208-3c8c-402e-8111-0060a03db494/home and is named 'Analyze-ab-test-results_notebook.ipynb`.

Requirements

This code depends on the following libraries:

  1. numpy
  2. pandas
  3. random
  4. matplotlib.pyplot
  5. statsmodels.api
  6. norm from scipy.stats
  7. call from subprocess

In addition to these, the Jupyter Notebook assumes that the data set from 'ab_data.csv' is in the project folder.

The Binder badge above can be used to explore an executable environment for this project.

Issues

  • fix project file mix-up
  • review project file
  • review additional dataset countries.csv
  • add 'Features' to README.md

Contact

You can get in touch with me on LinkedIn LinkedIn Link
give me that choice follow on Github GitHub followers
or email me at deepaksithu@gmail.com.

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Analyze A/B Test Results project submission for Udacity Data Analyst Nanodegree

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