In this article I will describe the steps to set up a notebook that exports a Databricks dashboard as an HTML file and uploads it to an S3 bucket configured for static website hosting. In Tableau, we will create a dashboard that will embed the URL where the file is located.

The process of extracting, transforming and loading data from disparate sources (ETL) have become critical in the last few years with the growth of data science applications. In addition, data availability, timeliness, accuracy and consistency are key requirements at the beginning of any data project.

Luego de una pausa bastante prolongada (de más de un año), retomo el blog para continuar con los detalles de la implementación del análisis de tweets con menciones a la Municipalidad de Asunción.

Desde hace ya unos años, las redes sociales se volvieron el medio de comunicación preferido de los ciudadanos para realizar reclamos relacionados a la provisión de servicios públicos e infraestructura (electricidad, agua potable, recolección de basura, reportes de baches, etc.)

In this post I will make use of Python’s libraries: pandas, matplotlib and seaborn to analyze data from ATP tennis competitions from the year 1968 up to 2018, including Grand Slams, Masters Series, Masters Cup and International Series competitions.

Welcome to Data Guasu! In this blog I will be sharing opinions, ideas, experiences and details of projects I have worked on, and my journey to becoming a data passionist (due to the impostor syndrome I’m having trouble calling myself a data scientist).