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- One of the piecharts created through methods of data visualization.
A data science project that analyzes two marketing strategies and chooses the best marketing strategy for converting traffic into sales.
The purpose of this project is to find a highly performant marketing strategy to convert traffic into sales.
- Statistical Analysis
- Hypothesis Testing
- Data Visualization
- Python
- MS Excel
- Pycharm as IDE (or Jupyter)
This repository is a simulation of Aman Kharwal's original code and is only proof of the understanding of A/B Testing. Details should be reported by the analyst based on his/her visualizations! ;)
- data exploration/descriptive statistics
- data processing/cleaning
- statistical modeling
- writeup/reporting
- First, clone this repository using the following command:
git clone https://github.com/de-lia/A-B-Testing.git- Run it on it on your favorite editor. This project was originally created in Pycharm.
- The various sections of comments represent chunks of code for the visualization of data.
- Therefore, it'll be preferable to run the project in a virtual environment using Jupyter.
- You can set up your venv using this.
- Navigate to the directory of this project, and run:
jupyter notebook