All posts tagged: United Nations

Capstone Project: Results

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For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our third assignment – the preliminary results. Results Only the results for Burundi, Ethiopia, and Liberia will be reported, as the other countries demonstrated no change or very slight change in the ensure environmental sustainability index. Descriptive Statistics: The following table shows the descriptive statistics for the Ensure Environmental Sustainability Index for each of the selected countries, starting from the lowest GDP per capita group to the highest. The standard deviations are much greater for the lowest GDP per capita group compared to the others. In three countries, Seychelles, Canada, and Ireland, no change in the value of the index was observed. It would appear that countries that reach a certain GDP per capita will have achieved a mean Ensure …

Capstone Project: Methods

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For those following my blog on my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. This is my introduction. Below is our second assignment – the data management and analysis methods. Methods Sample: Out of the 211 World Bank recognized sovereignties, 8 (N=8) were chosen for this study. Countries that has the Ensure Environmental Sustainability goal were selected: three countries with the lowest GDP per capita (Burundi, Ethiopia, Liberia), three countries with the highest GDP per capita (Canada, Ireland, United States), and two from the median (Estonia, Seychelles). In addition to identifying associations between variables and the four sustainability indicators, this selection was used to also investigate how variable relationships differ in countries with varying degrees of economic development. Each country, depending on available data, has between 26 to 43 indicators for analysis with 36 years of data from 1972 to …

Capstone: Variables Associated With Environmental Sustainability – A United Nations Millennium Development Goal

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For those following my blog since the start of my Data Analysis and Interpretation Specialization by Wesleyan University through Coursera, this is the final course and the Capstone project. Unlike previous courses, I will move away from urbanization data and try to tackle one of the problems provided by the course’s industry partner. Below is our first assignment – the introduction to my final report. Variables Associated with Environmental Sustainability Using data provided by the World Bank, through DrivenData, this study looks to identify factors associated with the Environmental Sustainability Indicator defined as an United Nations Millennium Development Goal (MDG). Preliminary explanatory variables are Gross National Income, Forest Area, CO2 Emissions, Employment, Foreign Direct Investments, Household Final Consumption Expenditure, Adult Literacy Rate, Urban Population, Investments in Energy, and Energy Use. This mix of both economic and social factors will be examined for associations with the UN-MDG indicator of environmental sustainability. After the associated variables are identified, they will be used to create a model to predict data for the years 2008 and 2012. As a social/urban scientist interested …