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CONTRIBUTING.md

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Contributing

General Guidelines

Start with a question you want to answer. Questions can be broadly categorized into three types:

  • Type 1: Questions that can be answered by "looking up" the data. Ex: What is the population in Upper West Side, NY
  • Type 2: Questions that are clear but the answer requires a "level of infererence". ie, multiple data points need to be combined and a result has to be derived and cannot be approximated as a lookup problem. Ex: Which branches of a huge chain are underperforming?
  • Type 3: Question vague and answer requires question distillation into Type 2 and Type 1. Ex: Where should a restaurant setup a new location and why? The question needs to be diluted to simpler questions and metrics need to be created. Such as what does it mean to justify a location choice

Suggested Questions

Note that these are boilerplate questions can be modified / extended based on the use-case, depth of the study and so on. There is no obligation to stick to these questions. Contributors are encouraged to come up with their own questions.

🏠 Comparing Outlet Stats

Possible Question Settings

  • Comparative Statistics for all outlets of a particular brand in a city / country
  • Metrics across a number of features such as driving time from locations, nearby competition and nearby demographics
  • Result can be a ranked list of locations based on location suitability
  • Possibly recommend certain locations to shut down

Key Endpoints

🥘 Cuisine Analysis & Saturations

Possible Question Settings

  • Which cuisine occurs the most in a city
  • How does the cuisine correlate with outlet rating and locations?
  • Are there clustered cuisine hotspots where a certain cuisine is saturating the market?
    • Ex: If a new outlet is setup in a neighbourhood where there are multiple restaurants of a particular cuisine, then what are the odds of success from the marginal contribution of the same cuisine in that restaurant?

Key Endpoints

🤺 Competitive Hot Spots

Possible Question Settings

  • What are the most competitive areas in a city for a restaurant?
  • Where do most restaurants of a particular category or type share locations?
  • Mark locations that would not be worth the "bang for buck" under this paradigm

Key Endpoints

📍 Site Selection

Possible Question Settings

  • Which city, area and locations are most suitable to setup a restaurant business?

Key Endpoints

  • All endpoints relevant to perform to a top-down analysis.