My-Porfolio-Project

Analysis of Economic Data

Introduction

Economic datasets downloaded from Gapminder were analyzed after the data wrangling process. The aim is to answer the following questions:

• Have certain countries of the world been growing in the selected metrics better than others?
• How has income growth differed between the two major developing economies, China and India?
• Is there a correlation between rising per capita income levels and electricity usage per person?

Datasets

The following datasets were wrangled:

• GDP by Purchasing Power Parity (PPP)
• Citizen Income Per Capita $ Purchasing Power Parity (PPP)
• Electricity consumption per person
• Number of cellphones owned per 100 people
• % of internet users by country
• Total annual oil consumption per country

Technical Skills Utilized

• Python
• Data Analysis/Wrangling libraries (Numpy, Pandas)
• Data Visualization libraries (Matplotlib, Seaborn)
• Jupyter Notebooks
• SQL