https://diogo-dantas.github.io/tags/python/Recent content in Python on D i o g o D A T AHugo -- gohugo.ioenSat, 22 Feb 2025 06:00:16 +0600https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/Sat, 22 Feb 2025 06:00:16 +0600https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/<p>The project to analyze sentiment in tweets about airlines was developed to offer an interactive and engaging interface using Streamlit. The purpose of the application is to enable users to view tweets classified according to the type of sentiment - positive, negative or neutral - in order to analyze public perceptions in real time. With this tool, it is possible to explore how people feel about airlines and get a clearer picture of what is being discussed on social networks.</p>https://diogo-dantas.github.io/posts/etl/python/etl-simplificado/Fri, 20 Sep 2024 06:00:23 +0600https://diogo-dantas.github.io/posts/etl/python/etl-simplificado/<p>In today&rsquo;s dynamic business environment, integrating and analysing data from multiple sources is essential for making informed decisions. In many industries, such as finance, logistics or marketing, it is common to receive data files in a variety of formats, including CSV, XML and JSON. These files can contain valuable information, but their dispersion and variety of formats make processing and analysis a significant challenge.</p> <p>One of the challenges in this scenario is the need to consolidate information from multiple files into a single format that can be easily imported into a database, for example. The task becomes even more critical when considering the need to maintain data integrity and consistency during this compilation process.</p>