Data Dashboarding: Exploring Tools and Frameworks for Python

Abstract

Do you build data dashboards to tell stories? Do you aim to present research findings vividly through visualizations? Want to deliver actionable insights to stakeholders in an interactive format? Often, we are stuck using one technology stack/framework/solution because it's what we're used to or it's what's available. But this limits us. It stops us from deeply understanding how to solve problems or trying out new ideas. In this talk, we'll see how we can break free from these limits when it comes to building Data Dashboards. Using a dataset of visitors to Taiwan, we'll explore different tools and frameworks so as to choose the best one for each job. We'll take a walk through the Python Data Dashboarding ecosystem, introducing its most prominent players and showcasing how a Jupyter Notebook analysis can be transformed into interactive dashboards using each tool. Through a systematic comparison, we delve into each framework's strengths, weaknesses, and diverse applications.

Description