Building A Financial Dashboard In Python With Dash - Part 2/3

In the second part of this miniseries I show you how to build a simple financial dashboard in Python using Plotly Dash. I dive into loading financial data from a CSV file, generating extra columns, and how to build interactive components to control what you see on the dashboard. If you haven’t watched part 1 of this series, here’s the link: The code I worked on in this tutorial is available here: 💡 Get my FREE 7-step guide to help you consistently design great software: 🛒 GEAR & RECOMMENDED BOOKS: 🎓 Sign up to Brilliant now and get 20% off the annual subscription: 👍 If you enjoyed this content, give this video a like. If you want to watch more of my upcoming videos, consider subscribing to my channel! 💬 Discord: 🐦Twitter: 🌍LinkedIn: 🕵Facebook: 👀 Code reviewers: - Yoriz - Ryan Laursen - James Dooley - Dale Hagglund 🎥 Video edited by Mark Bacskai: 🔖 Chapters: 0:00 Intro 0:28 Recap of the example 1:45 Loading data from a file using pandas 4:30 Add extra columns to the dataframe 7:45 Passing data via the Dash layout to the components 9:08 Adding a bar chart displaying the data 14:15 Adding month and category dropdowns 20:34 Adding a pie chart 21:40 Final thoughts #arjancodes #softwaredesign #python DISCLAIMER - The links in this description might be affiliate links. If you purchase a product or service through one of those links, I may receive a small commission. There is no additional charge to you. Thanks for supporting my channel so I can continue to provide you with free content each week!