https://github.com/shivabajelan/uk_food_hygiene_rating_analysis_using_mongodb
The goal is to help the editors of a food magazine, Eat Safe, Love, to evaluate the data and assist their journalists and food critics in deciding where to focus future articles. The project aims to provide insights into the ratings data to identify establishments that meet the magazine's criteria for featuring in their articles.
https://github.com/shivabajelan/uk_food_hygiene_rating_analysis_using_mongodb
mongodb nosql-database pandas pymongo python
Last synced: 7 months ago
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The goal is to help the editors of a food magazine, Eat Safe, Love, to evaluate the data and assist their journalists and food critics in deciding where to focus future articles. The project aims to provide insights into the ratings data to identify establishments that meet the magazine's criteria for featuring in their articles.
- Host: GitHub
- URL: https://github.com/shivabajelan/uk_food_hygiene_rating_analysis_using_mongodb
- Owner: Shivabajelan
- License: mit
- Created: 2024-02-12T13:49:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-18T14:08:00.000Z (over 1 year ago)
- Last Synced: 2025-01-15T16:04:55.120Z (9 months ago)
- Topics: mongodb, nosql-database, pandas, pymongo, python
- Language: Jupyter Notebook
- Homepage:
- Size: 2.88 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# UK_Food_Hygiene_Rating_Analysis_Using_MongoDB
This repository contains two Jupyter notebooks that demonstrate the process of importing, updating, and analysing data from the UK Food Standards Agency. The data includes food hygiene ratings for various establishments in the United Kingdom. The analysis is conducted using MongoDB and Python.
## Project Overview
The project is divided into two main parts:
##### 1.NoSQL_setup_starter.ipynb: This notebook sets up the database, imports the data, and makes updates to the database according to the requirements of a food magazine.
##### 2.NoSQL_analysis_starter.ipynb: This notebook performs exploratory analysis on the data using various queries, aggregations, and data manipulation techniques to answer specific questions related to the hygiene ratings of establishments.
The data for this project is provided in the Resources folder, which contains the establishments.json file.
This project demonstrates the use of MongoDB as a NoSQL database and the power of PyMongo for connecting, querying, and updating data within the database.
## Setup
To run this project on your local machine, follow these steps:
#### 1.Clone this repository to your local machine.
#### 2.Make sure you have MongoDB installed and running.
#### 3.Install the necessary Python packages (pandas, pymongo, etc.) using the requirements.txt file provided or using your preferred package manager.
#### 4.Open the Jupyter notebooks (NoSQL_setup_starter.ipynb and NoSQL_analysis_starter.ipynb) and run the cells in order to perform the analysis.
## License
This project is licensed under the MIT License. See the LICENSE file for more information.