Problem 1: Clustering The dataset given is about the Health and economic conditions in different States of a country

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Problem 1: Clustering

The dataset given is about the Health and economic conditions in different States of a country. The Group States based on how similar their situation is, so as to provide these groups to the government so that appropriate measures can be taken to escalate their Health and Economic conditions.

Questions:

1. 1. Read the data and do exploratory data analysis. Describe the data briefly. (Check thenull values, Data types, shape, EDA, etc, etc)
   2. Do you think scaling is necessary for clustering in this case? Justify
   3. Apply hierarchical clustering to scaled data. Identify the number of optimum clustersusing Dendrogram and briefly describe them.
   4. Apply K-Means clustering on scaled data and determine optimum clusters. Apply elbowcurve and find the silhouette score.
   5. Describe cluster profiles for the clusters defined. Recommend different priority basedactions that need to be taken for different clusters on the bases of their vulnerability situations according to their Economic and Health Conditions.

Data Dictionary for State_wise_Health_income:

1. 1. 1. States: names of States
      2. Health_indeces1: A composite index rolls several related measures (indicators) into a single score that provides a summary of how the health system is performing in the State.
      3. Health_indeces2: A composite index rolls several related measures (indicators) into a single score that provides a summary of how the health system is performing in certain areas of the States.
      4. Per_capita_income-Per capita income (PCI) measures the average income earned per person in a given area (city, region, country, etc.) in a specified year. It is calculated by dividing the area's total income by its total population.
      5. GDP: GDP provides an economic snapshot of a country/state, used to estimate the size of an economy and growth rate.

Dataset for Problem 1: State_wise_Health_income.csv