Update README.md

README.md

@@ -53,6 +53,8 @@ Please copy and paste the URL; do not click the link directly. The SOA has block
 - **Repository:** SOA Actuarial Practice Modules[https://www.soa.org/sections/long-term-care/long-term-care-resources/]
 - **Paper Link:** Long‐Term Care Intercompany Experience
 Study[https://www.soa.org/4a31a6/globalassets/assets/files/resources/experience-studies/2020/2000-2016-ltc-aggregate-database-report.pdf]
+- **Data Process:** Data_Cleaning_Process.ipynb[https://github.com/justinkao44/STA663_Project_1]
+
 
 ## Uses
 
@@ -70,7 +72,7 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
 
 
 
-## Dataset Structure
+## Dataset Structure and Instances
 
 ### Incidence Dataset Structure Description
 1. LTC Claim Incidence
@@ -106,6 +108,42 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
 - **Count_HHC**: Numeric variable indicating the count of home health care claims.
 - **Count_Unk**: Numeric variable indicating the count of claims with unknown categorization.
 
+filtered_incidence instances
+
+{'Group_Indicator': 'Individual',
+ 'Gender': 'Female',
+ 'Issue_Age_Bucket': '50-54',
+ 'Incurred_Age_Bucket': '60-64',
+ 'Issue_Year_Bucket': '2003-2005',
+ 'Policy_Year': ' 7-9 years',
+ 'Marital_Status': 'Single',
+ 'Premium_Class': 'Preferred',
+ 'Underwriting_Type': 'Other',
+ 'Coverage_Type_Bucket': 'Comprehensive',
+ 'Tax_Qualification_Status': 'Tax-qualified',
+ 'Inflation_Rider': 'Inflation protection',
+ 'Rate_Increase_Flag': 'Yes',
+ 'Restoration_of_Benefits': 'No',
+ 'NH_Orig_Daily_Ben_Bucket': ' < 100',
+ 'ALF_Orig_Daily_Ben_Bucket': ' < 100',
+ 'HHC_Orig_Daily_Ben_Bucket': ' < 100',
+ 'NH_Ben_Period_Bucket': 'Unknown',
+ 'ALF_Ben_Period_Bucket': 'Unknown',
+ 'HHC_Ben_Period_Bucket': 'Unknown',
+ 'NH_EP_Bucket': '  90',
+ 'ALF_EP_Bucket': '  90',
+ 'HHC_EP_Bucket': '   0',
+ 'Region': '04: West',
+ 'Active_Exposure': 19.583332,
+ 'Total_Exposure': 19.583332,
+ 'Claim_Count': 0,
+ 'Count_NH': 0,
+ 'Count_ALF': 0,
+ 'Count_HHC': 0,
+ 'Count_Unk': 0}
+
+
+
 2. LTC Claim Termination
 
 
@@ -125,6 +163,24 @@ The dataset can be utilized within a Bayesian framework to enhance the predictiv
 - **Benefit_Expiry**: Numeric variable indicating the number of terminations due to benefits reaching their expiration date.
 - **Others_Terminations**: Numeric variable indicating the number of terminations due to other unspecified reasons.
 
+filtered_termination instances
+
+{'Gender': 'Male',
+ 'Incurred_Age_Bucket': '75-79',
+ 'Incurred_Year_Bucket': '2001-2002',
+ 'Claim_Type': 'HCC',
+ 'Region': '03: South',
+ 'Diagnosis_Category': '08: Other',
+ 'Claim_Duration': '56',
+ 'Exposure': '3',
+ 'Deaths': '0',
+ 'Recovery': '0',
+ 'Terminations': '0',
+ 'Benefit_Expiry': '0',
+ 'Others_Terminations': '0'}
+
+
+
 ## Dataset Creation
 
 ### Curation Rationale