If the project is not visible on github, you can use this link:
https://nbviewer.jupyter.org/github/RBarroco/quandl-project-webapi-big-mac/blob/master/API-Quandl-Project.ipynb
API Quandl Project - The big mac price index
Objectives
This is a project to learn fetching data from an API. To Apply feature engineering on it, and come up with insights over Exloratory Data Analysis practices.
This dataset is going to be a timeseries about BigMacPrice index around the world I'm interested in finding out what are the most expensive Big Macs (in dollar) around the world and which country/region is corrrelated in terms of increasing or decreasing its Purchasing Power Patiry.
I plan to build an article about the subject whenever I have enough data for it, then, this is a prototype of a project; that I'm planning to make something much bigger out of it.
Tools:
- Web API interpretation and access.
- Python data structures.
- Features Engineering.
- Exploratory Data Analysis.
- Seaborn and matplotlib in a creative approach.
- Macro economics concepts.
- Fun insights about Big Mac price around the world.
There are many always to reach the Quandl database endpoint.
The first approach would be an easy integration with python (import quandl)
- library quandl
The second approach is using requests, json libraries.
- library requests, json
To be continued...