The UK Food Standards Agency evaluates various establishments across the United Kingdom, and gives them a food hygiene rating. You've been contracted by the editors of a food magazine, Eat Safe, Love, to evaluate some of the ratings data in order to help their journalists and food critics decide where to focus future articles.

Part 1: Database and Jupyter Notebook Set Up
Part 2: Update the Database
The magazine editors have some requested modifications for the database before any queries or analysis can be performed for them.
Part 3: Exploratory Analysis
Eat Safe, Love has specific questions they want you to answer, which will help them find the locations they wish to visit and avoid.

To run this script:

1. Copy the git link and clone it in your local machine.
2. Ensure Resources directory, NoSQL_setup.ipynb, and NoSQL_analysis.ipynb files are present
3. Ensure the establishments.json file is present in the Resources folder
4. Run the script using Jupyter Notebook from nosql-challenge directory and view results
5. Be sure to run the entire script using Restart & Run All option from Kernel in Jupyter Notebook to get error free results
6. Or, you could alternatively run each block of code individually starting from the very top
7. In additon, you could change the csv dataset containing the same columns in Resources folder and run the code to see the results

To write this script, I used the starter code provided and discussed the module challenge questions with my tutor.

He helped me write a small portion of the logic to sort and group the query. I also discussed a small syntax error with my peer, who helped me correct it.