An analysis using a Python notebook with a dataset for a carsharing startup. The notebook focuses on analyzing the precision of upfront pricing. Additionally, slides are created to showcase the results and propose solutions.

Welcome to the Carsharing Startup Analysis project! 🚀 This analysis aims to provide insights into the precision of upfront pricing for a carsharing startup.

The Python notebook included in this repository explores the precision of upfront pricing, contributing to a better understanding of the startup's pricing strategy. The project also includes slides summarizing the results and proposing potential solutions.

The Python notebook delves into the dataset, focusing on the precision of upfront pricing. 📊

Key findings from the analysis are documented, shedding light on the performance of the carsharing startup's pricing strategy.

To facilitate communication of the analysis results, slides have been created. 🌈

These slides offer a visual representation of the findings, making it easier to share insights and proposed solutions with stakeholders.

To replicate the analysis on your local machine, follow these installation steps: