Group Project

An analysis of Australian dining habits using data from Zomato, Gourmet Traveller and the Good Food Guide.

Team Members: Mickey Sandhu, Brad Smith and Nelson Paulo Balino

Proposal: This project analyses dining habits in three Australian cities (Melbourne, Sydney, and Perth). We will focus on two types of analysis: popularity and correlation. In particular the following questions will be posited;

1. Most popular restaurants in each city according to Zomato
2. Most popular cuisines in each city according to Zomato
3. Top cuisines and restaurants in Australia according to Zomato
4. Top restaurants in Australia according to Gourmet Traveller (2019)
5. Top restaurants in Australia according to Good Food Guide (2020)
6. Whether there is any similarities between popular restaurants according to Zomato reviewers and those judged Australia's finest by Gourmet Traveller (2019) and Good Food Guide Awards (2020)

Data Sources:

Zomato API

https://developers.zomato.com/documentation#!/

Google Maps API

https://developers.google.com/maps/documentation

The Top 100 Restaurants in Australia (2019)

https://www.gourmettraveller.com.au/dining-out/restaurant-reviews/top-100-restaurants-australia-2019-16634

Good Food Guide Awards (2020)

https://www.goodfood.com.au/eat-out/good-food-guides/the-good-food-guide-2020-full-list-of-hats-20190927-h1if80

Task Breakdown:

• Each team member will create their own Zomato API key and pull data
• We will clean the dataset to ensure data is viable
• Use Matplotlib to create visualizations (plots and PNG files)
• We will create CSV files for Gourmet Traveller and Good Food Guide Results
• Create a write-up summarising the findings
• Prepare a 10 minute presentation that covers results

To View: Begin with Zomato API Challenge and then follow by opening Map.