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Python Insights - Analyzing Data with Python

Overview

This repository contains the data analysis project named "Python Insights", focused on studying customer cancellations in a company with over 800,000 customers. The goal is to understand the main reasons behind cancellations and suggest actions to reduce these numbers, using Python and data analysis libraries.

Repository Structure

  • cancelamentos_sample.csv: Sample CSV file containing customer data.
  • inicio.ipynb: Jupyter Notebook containing all the analyses performed, from data loading to the application of strategic filters.

Technologies Used

  • Python: Programming language used for performing the analyses.
  • Pandas: Python library for data manipulation and analysis.
  • Plotly: Python library used for creating interactive visualizations.

Environment Setup

To run the scripts in this repository, you need to install the listed dependencies. It is recommended to use a virtual environment to avoid dependency conflicts. Execute the following commands to set up your environment:

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
pip install pandas plotly openpyxl numpy nbformat ipykernel

About

The 'Python Insights' project analyzes customer cancellations for a company with over 800,000 clients, using Python to identify causes and reduce churn.

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