Skip to content

Latest commit

 

History

History
39 lines (27 loc) · 1.26 KB

README.md

File metadata and controls

39 lines (27 loc) · 1.26 KB

The Big Mac Index

Table of contents

General info

Brief project information:

  • Extracted country codes from the metadata CSV file to nextly use them in requests to API to obtain data from The Economist - Big Mac Index
  • Saved data locally to make data visualization within PowerBI with the top 5 countries with the highest Big Mac index in July 2021
  • Uploaded the data to AWS S3 within the boto3 client. Implemented email notification that data is in S3
  • The whole application is divided into separate modules to group related code to make it easier to understand and use. Everything executes in the main.py file which imports functionality from the scripts from the src folder

Setup

These are the crucial steps to configuring and running the project.

Installing dependencies

# To create a folder for downloaded CSV files from API
$ mkdir bigmac_index

# To download all the necessarily Python packages needed for the project
$ pip install -r requirements.txt

Run the project

python .\main.py