A través de un código simple, entendible y reproducible, se analiza una base de datos de clientes de un super mercado, con dicha información se encuentra el grupo de clientes que comparten características para poder tomar decisiones. Se recupera la base y parte de código de Kaggle.

FORMACIÓN Y COMPOSICIÓN DE LOS HOGARES Y LA VIVIENDA EN MÉXICO

In this workbook, we’ll explore the communities, economies, and natural disaster environments where power plants are located using logistic regression and clustering. Power plants generate electricity and are crucial for homes, businesses, and industries. Disasters like hurricanes, earthquakes, floods, and wildfires can threaten power supplies. Understanding the distribution of power plants and the characteristics of their surrounding communities is essential.

Importing and cleaning the eammi2 dataset

Contém dados das paradas de início e fim de linha do transporte público, a partir dos dados do GTFS CITATTI.

pc3

ashley tarazona