Experiment 1: Study the reasons for Canadian immigrants leaving their home countries based on economic and social indicators for their countries.
Data mining methods: Kmeans Clustering, Hierarchical Clustering
Experiment 2: Study the reasons for attracting immigrants to Canada based on Canadian economic and social indicators.
Data mining methods: Decision Tree, Association Rule Mining
Other files:
Experiment_1.5.ipynb: Clustering based on data in 2011.
render.html: Interactive world map of Canadian immigration sources
Datasets:
- Immigrant status and period of immigration by place of birth and citizenship: Canada, provinces and territories and census metropolitan areas with parts: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=9810030201
- Net migration - Canada: https://data.worldbank.org/indicator/SM.POP.NETM?locations=CA
- GDP per capita (current US$): https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
- Life expectancy at birth, total (years): https://data.worldbank.org/indicator/SP.DYN.LE00.IN
- Employment to population ratio, 15+, total (%): https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.ZS
- Labor force participation rate, female (% of female population ages 15+): https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS?view=chart
- Inflation, consumer prices (annual %): https://data.worldbank.org/indicator/FP.CPI.TOTL.ZG?view=chart
- Government expenditure on education, total (% of GDP): https://data.worldbank.org/indicator/SE.XPD.TOTL.GD.ZS
- Current health expenditure (% of GDP): https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS