Background

The Meditation App offers a range of meditation services for a paid subscription and in-app purchases.

Challenge

The challenge for this project is to understand our customer base and explore how we can maintain a high paid conversion rate.

Data

The dataset for this project includes two CSV files: user_demographics_v1 and purchase_data_v1.

user_demographics_v1

This file includes demographic information for each user, such as uid, reg_date, device, gender, country, and age.

purchase_data_v1

This file includes purchase data for each user, such as date, uid, sku, and price.

The dataset is provided in CSV format and contains 10,000 rows in user_demographics_v1 and 9,006 rows in purchase_data_v1.

Running the Project

To run the project, follow these steps:

1. Clone the repository.
2. Install the required dependencies.
3. Open analysis.ipynb in Jupyter Notebook.
4. Run the code cells to reproduce the analysis.

Dependencies

This project requires the following dependencies:

pandas scipy statsmodels numpy seaborn matplotlib sklearn pingouin

You can install these dependencies using pip: pip install pandas scipy statsmodels numpy seaborn matplotlib scikit-learn pingouin