Preliminary analysis of the results from an A/B test designed to compare the performance of two versions of a webpage: the original version and a new variation.
Hello, data analyst or data enthusiast! 📈 We are Alicia and Andrea, data analysis students from Ironhack. In this notebook, we analyze the relationship between various features of the different variations—such as uptime and follow-up steps—as well as gender, age, account numbers, etc.
You can view our project presentation at the following link. And the Tableau link here.
- Metadata
- Analysis structure
- Visual insights
- Authors: Alicia Pérez and Andrea Wahnon
- Creation Date: 17/05/2024
- Last Modified: 17/05/2024
- Project planning: defining business challenges and hypotheses
- Preliminary cleaning and formatting with Python: initial grouping to reduce the weight of the user database
- Data import: importing the three dataframes into Tableau
- Final grouping and statistical analysis with Tableau
- Visualization techniques to define the relationship between the features of the different variations—uptime and follow-up steps
Thank you for reading 😊!