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PyRamen

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Data Analysis for Ramen πŸœπŸ’Ή

What is this

PyRamen is a data analysis project that solves a very real problem for an imaginary ramen shop.

Inspiration

Wanted to try out Azure notebooks, came across this dataset and boom!

Imaginary problem statement

Welcome to 2KRamen!

Opening a ramen shop has always been my dream, and now it's finally been realized – I'm closing out on my second year of sales!

I need to analyze my business's financial performance by cross-referencing my sales data with my internal menu data to figure out revenues and costs for the year.

I also want to analyze how well my business did on a per-product basis in order to better understand which products may need to be removed or changed.

Prerequisites

Before you begin, ensure you have met the following requirements:

  • You have installed the latest version of python

Getting PyRamen

To get PyRamen, follow these steps:

git clone https://github.com/2kabhishek/pyramen
cd pyramen

Using PyRamen

python pyramen.py # This will run the program, and will produce a report

The report will be saved to the gen/report.md file. Try exploring the data and report folders to see what else you can do with the data.

How it was built

pyramen was built using python and the csv module.

Challenges faced

Hunting for the data, and coming up with an imaginative problem statement :)

What I learned

  • Didn't use pandas, opted for csv module, which was sufficient for this problem.
  • Followed python best practices as much as possible.

Hit the ⭐ button if you found this useful.

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