stats & stuff

Started grouping the data using quarterly percentile bands just to see what it looks like. Used the income and internet users data for this with 1 lowest and 4 highest. Results are kinda predictable, I think. More work to be done to correlate the two datasets together somehow

Income (GDP per capita):

= GDP per capita <= 750

= GDP per capita between 751 and 2,500

= GDP per capita between 2,501 and 10,000

= Greater than 10,000 (the rich ones)

Internet (per 100 users):

= less than 10 people

= between 11 and 30 people

= between 31 and 50 people

For my research I´m digging into the following indicators:

Internet Users measured per 100 people and sourced from the World Bank for the year 2010

GDP per capita (constant US$) for 2010 sourced from World Bank for the year 2010

Political score which measures a country´s democratic and free nature from -10 (not democratic) to 10 (democratic). Sourced from Polity IV Project for the year 2009

Employment rate measured as a % of the over 15 population. Sourced from the International Labour Organisation for the year 2007

Female employment rate which is same as 4 but limited to females only

Using the gapminder dataset the aim will be to answer the following two questions:

1. Is internet usage an even or uneven distribution globally favouring wealthier countries and is it affected by a countries political ideologies or leanings?

Data: Internetuserate, incomeperperson, polityscore

2. Does higher Internet usage mean more women are able to enter the workforce?