Welcome to the future of coffee! This project explores whether launching a robot-staffed café in the heart of Los Angeles is a brilliant idea (spoiler alert: it just might be). Using real-world data and a healthy dose of Python-powered curiosity, this study digs into LA’s food and beverage landscape to see how our café concept stacks up.
In a city buzzing with food trends, we're thinking about opening a small café where the servers are… robots. Cool, right? But cool doesn't always mean viable. So before pitching this to investors, we asked the right questions:
- What types of food businesses dominate in LA?
- How big are they, really?
- Where are the busiest streets for dining?
- Are franchises still hot?
- How much seating is too much seating?
This project is a full analysis of Los Angeles’ dining business environment, especially through the lens of launching a tech-savvy, robot-run café.
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Exploratory Data Analysis
Looked into types of food businesses, seating capacities, franchise proportions, and more. -
Data Cleaning & Processing
Nulls handled, snake_case engaged, street names parsed — the usual wrangling magic. -
Location Intelligence
Identified top streets for potential foot traffic and high-density dining zones. -
Seating Distribution Analysis
From compact cafés to giant restaurants — how many seats are enough?
Nabilla Hafsah Caesaredia