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Summary

[1. Installation]

[2. Project Motivation]

[3. File descriptions]

[4. How To Interact With The Project]

This is the link to the medium post of the project https://medium.com/@hugova/this-post-will-make-you-rethink-which-programming-languages-are-worth-learning-862228171036

  1. Installation

In order to execute this project, the following libraries were used

Numpy library
Pandas library
matplotlib
Python version 3.8.5
  1. Project Motivation

This project is about economic indicators and how they are related to the energy consumption in the US in the years (1998 - 2014). The three-y axes graph allowed to see the relationship between 4 variables in this period

  1. File descriptions

Economic_indicators_and_energy_cons_US/

├── README.md

├── Economic_indicators_and_energy_cons_US.ipynb

├── data_mod.csv

├── goods_usa.xls

  1. How To Interact With The Project

Data was taken fro the worldbank and www.census.gov

  1. References

https://www.census.gov/foreign-trade/statistics/historical/goods.pdf

https://www.census.gov/foreign-trade/statistics/historical/index.html

https://databank.worldbank.org/reports.aspx?source=2&series=NY.GDP.PCAP.KD.ZG#