The Road to a new energy matrix

This project has the purpose of observing whether it would be possible to achieve a high development and improve the standard of living world wide while simoultaneosly reducing the negative effects of energy production which is key in mantaining our modern way of life.

With this goal in mind, I have gathered some (free and available) data sets from: https://data.worldbank.org/indicator/?tab=all. This data was last updated on 8/9/2020.

I've downloaded (manually) the data regarding the following indicators for each country:

Access to electricity (% of population), https://data.worldbank.org/indicator/EG.ELC.ACCS.ZS?view=chart
CO2 emissions (kt), https://data.worldbank.org/indicator/EN.ATM.CO2E.PC?view=chart
CO2 emissions (metric tons per capita), https://data.worldbank.org/indicator/EN.ATM.CO2E.PC?view=chart
Electricity production by source:
- Renewable (except from hydro), https://data.worldbank.org/indicator/EG.ELC.RNWX.ZS?view=chart
- Fossil (coal, gas and oil), https://data.worldbank.org/indicator/EG.ELC.FOSL.ZS?view=chart
- Hydro (%), https://data.worldbank.org/indicator/EG.ELC.HYRO.ZS?view=chart
- Nuclear (%), https://data.worldbank.org/indicator/EG.ELC.NUCL.ZS?view=chart

As it is known, nowadays, the use of electricity has become fundamental to carry out our daily activities. For this reason, the access to this resource is considered one of the main indicators of development of a country.
In this project we will only look at this indicator to provide a measure of the welfare of a given population.

On the other hand, I would like to observe if this welfare could be obtained without a detriment to our planet. With this aim I will explore if the production of electricity by renewable means is growing and if the production of electricity using non renewable resources is being reduced.

We will need to use the 'all_countries.csv' file from https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv, to group the countries within their continents. This file contains the data of countries names, code and continent.

We will use pandas, numpy, matplotlib and seaborn libraries and I will explain these tools whenever they'll be necessary.

project_name = "The Road to a new energy matrix"

!pip install jovian --upgrade -q

import jovian

jovian.commit(project=project_name)

[jovian] Attempting to save notebook..
[jovian] Creating a new project "viquiriglos/The Road to a new energy matrix"
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/viquiriglos/the-road-to-a-new-energy-matrix

'https://jovian.ml/viquiriglos/the-road-to-a-new-energy-matrix'