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This sample data is great for practice data analysis. As usual, I use [Jupyter Notebook](https://jupyter.org/) \u0026 [Azure Databricks](https://docs.microsoft.com/en-us/azure/databricks/scenarios/what-is-azure-databricks) notebook to perform analysis.\n\n\nData Fields Description\n* Id, A unique identifier associated with an application.\n* Product_Info_1-7, A set of normalized variables relating to the product applied for\n* Ins_Age, Normalized age of applicant\n* Ht, Normalized height of applicant\n* Wt, Normalized weight of applicant\n* BMI, Normalized BMI of applicant\n* Employment_Info_1-6, A set of normalized variables relating to the employment history of the applicant.\n* InsuredInfo_1-6, A set of normalized variables providing information about the applicant.\n* Insurance_History_1-9, A set of normalized variables relating to the insurance history of the applicant.\n* Family_Hist_1-5, A set of normalized variables relating to the family history of the applicant.\n* Medical_History_1-41, A set of normalized variables relating to the medical history of the applicant.\n* Medical_Keyword_1-48, A set of dummy variables relating to the presence of/absence of a medical keyword being associated with the application.\n* Response, This is the target variable, an ordinal variable relating to the final decision associated with an application\n\n\nFile Content Description\n* data/prudential_life_insurance_sample_data.csv \u003c-- Sample data from Kaggle\n* eda_for_prudential_life_insurance_sample_data.ipynb \u003c-- Notebook sample of EDA\n* eda_for_prudential_life_insurance_sample_data_databricks.ipynb \u003c-- Notebook sample for Databricks\n* eda_for_prudential_life_insurance_sample_data_databricks.html \u003c-- Notebook HTML export from Databricks\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feasonlai%2Feda_for_prudential_life_insurance_sample_data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feasonlai%2Feda_for_prudential_life_insurance_sample_data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feasonlai%2Feda_for_prudential_life_insurance_sample_data/lists"}