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Python Programming

Present and interpret a mix of descriptive statistics, maps, tables (and other visualizations) to provide an evidential base to describe spatial patterns and relationships.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS
  • Present and interpret a mix of descriptive statistics, maps, tables (and other visualizations) to provide an evidential base to describe spatial patterns and relationships. 
  • Literature should be used to support analysis of the patterns and relationships observed, including a discussion of the possible underlying drivers or causes. 
  • Analysis could be at neighborhood, borough, or city scales. 
  • You are free to develop a topic that speaks to your research and study interests, but some possible topics include: the impact of Airing on housing; the relationship between air pollution and deprivation; and the impact of green space and roads on air pollution. 
  • The code used to create the supplied data set is available for those who wish to extend it with new data. Feel free to discuss your ideas with the module coordinator, especially if you wish to use data not supplied to you.
  • Your submission should include a balanced assessment of the strengths and limitations of the data (e.g. what is recorded, what is not recorded, what is potentially misleading, etc.), as well as a justification of the methods used in your analysis. 

 

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