How ChatGPT’s Advanced Data Analysis Found Mississauga’s Most Ticketed Spot
Generative AI is evolving fast. It’s no longer just about generating text or images, it's starting to analyze the world around us. One of the most practical and powerful tools to come out of this evolution is ChatGPT’s Advanced Data Analysis (ADA) previously known as the code interpreter.
This tool gives me the ability to upload raw datasets like CSV or Excel files and get instant, intelligent insights, along with clear visualizations like bar charts.
No more Excel formulas. No Python scripts. Just answers.
To see how powerful this could be, I ran a quick experiment using a very real dataset from Mississauga.
Parking Tickets Meet Generative AI
I pulled a dataset from the City of Mississauga’s Open Data portal. It contained over 100,000 parking violations from 2021. I uploaded this monster CSV file into ChatGPT’s ADA and let it do its thing.
Within seconds, it crunched the data, analyzed trends, identified hot spots and pinpointed the single most ticketed address in the city:
3359 Mississauga Road better known as the University of Toronto Mississauga Library.
I have to say hats off to the parking enforcement team there. You’ve been very busy.
But beyond the laughs, this experiment showed me something deeper:
AI is no longer just generating, it's interpreting the real world.
File Format Flexibility = Frictionless Access
One of the best things about Advanced Data Analysis? It works right out of the box with everyday file types like CSV and Excel.
No need to convert files, write scripts, or clean data manually just upload what you’ve got and start asking questions.
That kind of plug-and-play simplicity lowers the barrier to entry. And when tech removes friction, more people actually use it. That’s how real adoption happens.
Visuals That Actually Make Data Make Sense
Let’s be real, staring at 100,000 rows in a spreadsheet isn’t exactly inspiring.
That’s where ADA really shines.
As soon as you upload a dataset, ChatGPT automatically creates visual summaries like bar charts, trend lines, pie graphs without you lifting a finger.
These visuals aren’t just pretty. They help bridge the gap between data and understanding. You can spot patterns, outliers, and key insights instantly even without any technical background.
Whether you're presenting to a team, reporting to stakeholders, or just trying to make sense of the numbers yourself, visuals make your message stick. And ADA delivers them at lightning speed.
Real-World Use = Real Impact
This wasn’t just a cool AI demo, it was a real-world example of how generative AI can solve everyday problems.
By analyzing over 100,000+ parking violations in Mississauga, ADA didn’t just spit out data it surfaced actionable insights that could actually help city officials improve operations.
Just imagine what municipalities could do with this:
Spot high-violation zones
Optimize enforcement patrols
Inform smarter urban planning
Back policy decisions with real data
This is where AI becomes more than a buzzword. It becomes a practical tool, one that’s ready to help cities, agencies, and organizations make better decisions, faster.
Humans + AI = The Real Magic
Sure, I had a laugh about the thrill of catching people with parking tickets but there’s a bigger point here.
AI can analyze the data. But it’s still humans who give it meaning.
Advanced tools like ADA help us see patterns faster, make smarter decisions, and scale insights but human judgment, empathy, and experience still matter.
This is the real sweet spot:
Let AI handle the heavy lifting
Let humans make the final call
That’s what makes AI truly powerful not as a replacement, but as a partner in better thinking.
Final Thoughts: From Data to Decisions, Instantly
This experiment showed just how far we’ve come.
With tools like ChatGPT’s Advanced Data Analysis, we’re not just collecting data we’re actually doing something with it in real time.
You don’t need to be a data scientist. You don’t need fancy software.
You just need a question and a dataset.
From pinpointing parking hotspots to powering policy decisions, ADA is helping turn raw numbers into real, usable insight and fast.
And when we combine AI’s speed with human intuition? That’s when we unlock real transformation. That’s the future of how we lead, solve problems, and build smarter systems.
Frequently Asked Questions
1 - What is ChatGPT’s Advanced Data Analysis (ADA)?
ADA is a tool that lets you upload datasets like CSV or Excel and get instant insights. It analyzes trends, creates visualizations, and helps users make sense of data without coding or complex software.
2 - How can ADA help with real-world problems?
ADA turns raw data into actionable insights. For example, analyzing parking tickets can identify high-violation zones, optimize patrols, and inform smarter city planning or business decisions.
3 - Do I need coding skills to use ADA?
No. ADA is plug-and-play. Just upload your file, ask questions, and get insights. No Excel formulas, Python, or scripts required.
4 - What types of files can ADA handle?
ADA works with everyday file types like CSV, Excel, and spreadsheets, making it easy to analyze data without conversion or cleanup.
5 - How does ADA visualize data?
ADA automatically creates charts, trend lines, and graphs. Visuals make it easier to spot patterns, outliers, and insights, helping users understand data quickly.
6 - Can ADA replace human judgment?
No. ADA analyzes and organizes data, but humans interpret results, make decisions, and apply context. AI works best as a partner, not a replacement.
About the Author:
Shawn Kanungo is a globally recognized disruption strategist and keynote speaker who helps organizations adapt to change and leverage disruptive thinking. Named one of the "Best New Speakers" by the National Speakers Bureau, Shawn has spoken at some of the world's most innovative organizations, including IBM, Walmart, and 3M. His expertise in digital disruption strategies helps leaders navigate transformation and build resilience in an increasingly uncertain business environment.