📆 Summer 2024

⚠️ Warning

Applicants will be disqualified if they make a public fork of this repository. Create a private fork instead.

At Dotlas, are building a platform for optimizing & growing retail businesses through AI-driven insights. We've been refining and revamping this assignment for a while now, and we're excited to see what you can do with it! Optionally view past assignments, along with stats in the archives

Your mission, should you choose to accept it, is to transform, process and analyze our dataset of Restaurants in The State of California, USA.

We've uploaded our dataset to an interactive map on Foursquare Studio. Feel free to explore it.

Let's create a private fork of this repository:

• Go to the Import a repository page on GitHub

• Fill in the information as shown below:

  

  How to create a private fork

python -m pip install -r requirements.txt

You may install any additional dependencies!

Your mission's details are displayed in mission.ipynb.

Once the repository is created on GitHub, clone it onto your local system! You can solve the assignment from either your local system if you have Jupyter, Python and other dependencies - else you can use Google Colab by uploading the notebook, working on it there and then downloading the notebook back from Colab for your submission.

Refer to HELP.md for some resources to help you get acquainted with the tools you will need.

Once you're ready for evaluation, invite us as private collaborators to your private fork!

You can invite the following github handles to review your assignment. Ensure to add all handles as collaborators:

• cricksmaidiene
• mateomontero01
• stephenjh

Submissions will be judged on:

• Methodology & approach to the solution
• Readability & maintainability of code (Use of "best practices") by adhering to the Pythonic way

• Do not create additional branches on your private repository with the submission. Keep all changes on the main branch.
• Add your answers to the same jupyter notebook file.
• Do not delete markdown sections of the jupyter notebook. Feel free to add as many sections for documentation or otherwise as you need but don't delete sections already present.

May the Force be with you!