Investigate a Dataset

Overview

Investigating our first data sheet “GDP/Capita USD Inflation Adjusted” We seek to understand which countries have the highest GDP/Capita for 2017. We also rank the top 5 countries for 2017 that are above the mean. Followed by questions regarding education and GDP.

Datasets Included Are as Followed:

1. gdppercapita_us_inflation_adjusted.csv (GDP/Capita USD Inflation Adjusted)
2. industry_percent_of_gdp.csv (Overall percentage of GDP/Year Industry)
3. services_percent_of_gdp.csv (Overall percentage of GDP/Year Industry)
4. mean_years_in_school_men_15_to_24_years.csv (Mean years in school Men 15-24)
5. mean_years_in_school_women_15_to_24_years.csv (Mean years in school Women 15-24)

Questions:

1. What are the top 5 highest GDP/Capita countries above the mean in 2017?
2. From the top 5 GDP/Capita countries in 2017, on average which countries stay in school longer? comparing Men and Women between the ages of 15-24
3. Are these Countries predominantly a service or industrial based economy?
4. For service and industry is there an increase or decrease in these sectors?
5. Is Norway a balanced economy between its services and industrial sectors?

 

Technologies Used

• Ananconda Python/R Data Science Platform
• Jupyter Notebook
• Libraries: pandas, numpy, matplotlib, seaborn

 

Where to Start

1. Open gdp_education_economy.ipynb (Jupyter notebook project location)
2. Run gdp_education_economy.py (Python Script)
3. Supporting PDFs (Investigating Global GDP Education & Ecomony.pdf)