This project is multifaceted. While it showcases proficiency in data acquisition, processing, and visualisation, it also delves into the world of Michelin-rated restaurants in France. Leveraging datasets from the Michelin Guide and INSEE, along with French geospatial data, this analysis probes the correlation between elite restaurants and the socio-economic attributes of their surroundings.
Previously I was a Michelin trained chef and lived in France for six transformative years. Those years instilled in me a deep appreciation for the world of gastronomy and its profound influence on local culture. Through this project, I seek to marry my life experiences with my current passion for data.
This analysis seeks to address the question:
"How do Michelin-starred establishments correlate with the socio-economic metrics of their respective regions?"
The aim is to better understand the intricate relationship between culinary excellence, its geographical distribution, and the socio-economic fabric of France.
- Sourced from Kaggle
- Demographic and socio-economic data was sourced from the National Institute of Statistics and Economic Studies.
- INSEE is responsible for the production and analysis of official French statistics.
- The geospatial data used in this analysis.
- We acknowledge and thank the contributors and maintainers of this resource for making it publicly available.
Data is from the above sources is merged, transformed and exported.
Finding and logging significant changes in star ratings.
Intricate functions are presented and defined to query and represent the data in diverse and insightful manners.
The analysis segment of this project is designed for both technical and non-technical audiences. Utilizing the functions from the visualisation phase, this section endeavors to answer pertinent questions with minimal code to ensure readability and comprehension.
An interactive application built using Dash and Plotly provides a dynamic interface for users to explore Michelin-rated establishments in France. Users can select specific regions, zoom into departments, and view detailed restaurant information.
├── ExtraData
│ ├── Demographics
│ ├── Geodata
│ └── Wine
├── Functions
├── Images
├── Years
│ ├── 2023
│ │ ├── data
│ │ │ ├──France
│ │ │ ├──Michelin
│ │ │ └──UK
│ │ ├── Notebooks
│ │ │ ├──France
│ │ │ └──Uk
│ ├── 2024
│ │ ├── data
│ │ │ ├──France
│ │ │ ├──Michelin
│ │ │ └──UK
│ │ ├── Notebooks
│ │ │ ├──France
│ │ │ └──Uk
├── README.md
git clone https://github.com/pineapple-bois/Michelin_Rated_Restaurants.git
cd Michelin_Rated_Restaurantspython3 -m venv env
source env/bin/activatepip install -r requirements.txtdeactivate