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Clustering & PCA
HELP NGO FUNDING DECISION
Submitted by
Shreya Solanki
Countries have been segmented
into clusters based on Socio
Economic factors
• Cluster 0 : Low gdpp with high
inflation and low income
• Cluster 1: high income low inflation
and high gdp
• Cluster 2: high income low inflation
and average gdp
• Cluster 3: High Income, import,
exports and gdpp and has low
inflation
• Cluster 4: Has only 1 country which
is an outlier because it doesn’t
match the correlated criteria with
other clusters because it has
significantly high inflation.
Cluster 0 is significantly the one which
has some requirement of aid or help
from NGO
• Cluster 0: High child mortality and
total fertility, average health and
low life expectancy
• Cluster 1: low child mortality, low
total fertility, high health and life
expectancy
• Cluster 2: low child mortality, low
total fertility, average health and
high life expectancy
• Cluster 3: : low child mortality, low
total fertility, average health spread
and high life expectancy
• Cluster 4: it is an outlier with high
child mortality and total fertility,
low health and life expectancy
IT IS NOTABLE FROM THIS ANALYSIS
THAT CLUSTER 0 IS HIGHLY
SIGNIFICANT FOR HELP THROUGH
FUNDS BUT NEEDS TO BE ANALYZED
FURTHER
This shows cluster 0 is prominent in terms of low gdp, income and higher inflation as compared to other clusters
Cluster 0:
this segment
of countries
are to be
explored
Now this cluster 0 which we are taking into
consideration is further segmented into 5
clusters to find the most appropriate
countries for providing the funding
Cluster 0 countries have low income and gdpp are
further analyzed for which are in dire need based on
child mortality, life expectancy and health
Having a look at the various factors of countries of Cluster 3 of cluster 0
Cluster 4 of Cluster 0: These countries are not in a dire need as
compared to other clusters
Analyzing the factors of the various countries
in cluster 2 of cluster 0
Now let us further
analyze the countries
with notable low
socio economic
factors
The countries with very low
gdpp values
Countries which have some notably high values of
Inflation, child mortality and Total fertility
The final list of countries based on various
factors taken into consideration:
'Afghanistan' 'Angola' 'Benin' 'Burkina Faso' 'Burundi' 'Cameroon' 'Chad' 'Comoros'
'Congo, Dem. Rep.' 'Congo, Rep.’
"Cote d'Ivoire" 'Equatorial Guinea' 'Gabon' 'Gambia' 'Ghana' 'Guinea' 'Guinea-Bissau'
'Iraq' 'Kenya' 'Lao' 'Madagascar' 'Malawi' 'Mali' 'Mauritania' 'Mozambique’
'Niger' 'Rwanda' 'Senegal' 'Sierra Leone' 'South Africa' 'Sudan' 'Tajikistan' 'Tanzania'
'Timor-Leste' 'Togo' 'Uganda' 'Yemen' 'Zambia’
'Haiti' Burkina Faso' 'Burundi' 'Central African Republic' 'Comoros' 'Eritrea' ' 'Haiti'
'Liberia' 'Madagascar' 'Malawi' 'Rwanda' 'Sierra Leone' 'Togo'

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Clustering of world countries on socio economic factors

  • 1. Clustering & PCA HELP NGO FUNDING DECISION Submitted by Shreya Solanki
  • 2. Countries have been segmented into clusters based on Socio Economic factors
  • 3. • Cluster 0 : Low gdpp with high inflation and low income • Cluster 1: high income low inflation and high gdp • Cluster 2: high income low inflation and average gdp • Cluster 3: High Income, import, exports and gdpp and has low inflation • Cluster 4: Has only 1 country which is an outlier because it doesn’t match the correlated criteria with other clusters because it has significantly high inflation. Cluster 0 is significantly the one which has some requirement of aid or help from NGO
  • 4. • Cluster 0: High child mortality and total fertility, average health and low life expectancy • Cluster 1: low child mortality, low total fertility, high health and life expectancy • Cluster 2: low child mortality, low total fertility, average health and high life expectancy • Cluster 3: : low child mortality, low total fertility, average health spread and high life expectancy • Cluster 4: it is an outlier with high child mortality and total fertility, low health and life expectancy IT IS NOTABLE FROM THIS ANALYSIS THAT CLUSTER 0 IS HIGHLY SIGNIFICANT FOR HELP THROUGH FUNDS BUT NEEDS TO BE ANALYZED FURTHER
  • 5. This shows cluster 0 is prominent in terms of low gdp, income and higher inflation as compared to other clusters
  • 6.
  • 7. Cluster 0: this segment of countries are to be explored
  • 8. Now this cluster 0 which we are taking into consideration is further segmented into 5 clusters to find the most appropriate countries for providing the funding
  • 9.
  • 10. Cluster 0 countries have low income and gdpp are further analyzed for which are in dire need based on child mortality, life expectancy and health
  • 11.
  • 12. Having a look at the various factors of countries of Cluster 3 of cluster 0
  • 13. Cluster 4 of Cluster 0: These countries are not in a dire need as compared to other clusters
  • 14. Analyzing the factors of the various countries in cluster 2 of cluster 0
  • 15. Now let us further analyze the countries with notable low socio economic factors
  • 16. The countries with very low gdpp values
  • 17. Countries which have some notably high values of Inflation, child mortality and Total fertility
  • 18. The final list of countries based on various factors taken into consideration: 'Afghanistan' 'Angola' 'Benin' 'Burkina Faso' 'Burundi' 'Cameroon' 'Chad' 'Comoros' 'Congo, Dem. Rep.' 'Congo, Rep.’ "Cote d'Ivoire" 'Equatorial Guinea' 'Gabon' 'Gambia' 'Ghana' 'Guinea' 'Guinea-Bissau' 'Iraq' 'Kenya' 'Lao' 'Madagascar' 'Malawi' 'Mali' 'Mauritania' 'Mozambique’ 'Niger' 'Rwanda' 'Senegal' 'Sierra Leone' 'South Africa' 'Sudan' 'Tajikistan' 'Tanzania' 'Timor-Leste' 'Togo' 'Uganda' 'Yemen' 'Zambia’ 'Haiti' Burkina Faso' 'Burundi' 'Central African Republic' 'Comoros' 'Eritrea' ' 'Haiti' 'Liberia' 'Madagascar' 'Malawi' 'Rwanda' 'Sierra Leone' 'Togo'