Interpreting Geographical Data – Economics Assignment Help

Assignment Task

Task
In the era of “big” open-access data, it is more crucial than ever for geographers to gain skills in interpreting quantitative data to study social and environmental issues. Drawing on the techniques introduced in the first two practicals of this module, this assessment will enableyou to create visualisations to critically interpret and analyse real-world geographical data. 

Data set #1: Poverty, Inequality, and Economic Development
Select a country (not the United Kingdom) and describe any trends you see in the data. How is poverty related to economic growth and income inequality and what contributing factors may be used to explain this? How do these trends compare to that of the United Kingdom? Use data visualisations and literature to support your findings. 

Data file: Global_Inequality.xlsx Metadata

• Variable Name Description Data type
• country Country name Text
• country_code Code used to represent the country Text
• year Year Numeric
• Poverty_Gap_Index Mean proportion of shortfall in income
• from the poverty line
• Numeric
• GDP_per_Capita GDP per capita ($USD) Numeric
• Gini_Index Ratio represents inequality in income distribution.

Data2: Meat Consumption and GHG Emissions
Select a country (not the United Kingdom) and describe any trends you see in the data. How is meat consumption related to GDP, agriculture, and greenhouse gas emissions, and what contributing factors may be used to explain this? How do these trends compare to that of the United Kingdom? Use data visualisations and literature to support your findings.