Build a Live Air Quality Dashboard with Python and Plotly Dash! | Beginner Data Engineering Project

Welcome to this beginner-friendly data engineering project where we build a live air quality dashboard from scratch using Python, Plotly Dash, and DuckDB! 🌍📊

In this tutorial, I'll take you through the entire pipeline:
1. Data Extraction: Fetching real-time air quality data from OpenAQ.
2. Data Transformation: Cleaning and processing data using DuckDB for fast and efficient handling.
3. Data Visualization: Creating a sleek and interactive dashboard with Plotly Dash.

Whether you're new to data engineering or looking to sharpen your skills, this project is great for learning the basics of:
• Building a functional data pipeline 🛠️
• Working with live data feeds ⏱️
• Designing interactive dashboards 🎨

🔑 Key Topics Covered:
• Setting up your Python environment
• Using DuckDB to manage and query data
• Creating dynamic visuals with Plotly Dash
• Tips and tricks for handling real-world data challenges

🗂️ Resources:

If you found this video helpful, don’t forget to like, comment, and subscribe for more data engineering projects!

📖 Chapters:
0:00 Intro
2:10 The OpenAQ Project
5:55 Project Setup
11:50 Location Data Extraction
26:15 DuckDB and S3 Setup
43:25 Data Quality Check
53:18 Data Product Creation
01:19:00 Plotly Dash Dashboard Setup
01:49:44 End of Part 1
01:52:19 Database Manager Script
02:26:43 Data Extraction Script
03:10:00 Data Transformation Script
03:22:46 Another Look at Data Quality
03:31:30 Refining The Dashboard
04:10:28 Testing With a New Data Point

💵SUPPORT THE CHANNEL

[ImaveriVEGA]

I had to make a special pipeline for detecting anomalies in real time. It has been a pain in the ass. Your video has helped me a lot. As other comments say. Your channel is a gold mine. A real diamond. It's amazing that you know the code structures by heart. I still use the documentation or some AI to help me. I liked the part where they say ( in future...) we'll use Airflow> I finally used it learning with tutorials that I watched on YouTube but I look forward to your video . Something that usually works for me is running extraction executions or pipelines in GCP (cloud functions) so I can schedule and automate the extraction windows to be able to manage the budget.

[alexandrucoman]

I honestly respect all of the people that bring a piece of useful information with real world examples and presented for everyone to understand in a very clear and simple way
it s kinda hard from my opinion to explain what you re doing in the same time while you re doing it
all my respect for all pf those people 🙏

[anuragkumar-dmer]

Love this. Please bring more such end to end project videos.

[ISAAKKUSH]

Thanks! You're a great explanator!

[nfrankiksa]

Bro your channel is a gold mine. You explain extremely wrll. 4 hours omg thank you

[moroccanevil]

Thanks. I was coding a predicting model for AQI using flask/Postgres and other tools. but the main problem was the data. This would be very helpful. Also, as recommendation you can use google earth engine to scrap the data too. thank you very much for this video

[danishafzalkhan]

I learnt a lot from this, thanks man!

[christopheanfry]

Definitely bookmark this video!!! Thanks for sharing and providing such a high quality project!!! 🙏

[CyberGhost]

great to see another video from your side will check it tonight💯

[ImaveriVEGA]

I'm writing because I like your videos and usually watch them again. I'm looking forward to the orchestration and automation as well as an example with big data. In this video (which is wonderful), you downloaded the database in a local environment and normalized it and checked the quality using pandas, but in the big data environment it is a bit more complicated. I'm at that crossroads because I lack big data management and analysis as well as good practices. I hope you can help us. Greetings from Chile

[LMessii]

Great content Trent ! Found it really helpful keep em coming

[christopheanfry]

Little recommendation at the beginning when you use the “with” statement to open files you don’t have to close it. With statement takes care of it automatically 👍

[DJ-bpfq]

can we add the time series forecasting in this to make it more better ?

[rachitsingh]

Is this dashboard deployable and is it possible to add new location points on the web app itself or do we have to modify it in the code only ?

[shannonbeahan]

Skip to 3:06:31 for a special surprise

[오이맛멜론]

as a complete beginner and I find air pollution tracker really cool but i understand nothing :((

[akanshajha]

i am not getting data for every location