query stringlengths 26 69 | code stringlengths 28 147 |
|---|---|
What is the standard deviation of approved amount per icd? | result = df.groupby('ICD')['Approved_Amount'].std().reset_index() |
What is the median approved amount per icd? | result = df.groupby('ICD')['Approved_Amount'].median().reset_index() |
What is the total deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].sum().reset_index() |
What is the average deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].mean().reset_index() |
What is the maximum deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].max().reset_index() |
What is the minimum deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].min().reset_index() |
What is the standard deviation of deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].std().reset_index() |
What is the median deduction amount per icd? | result = df.groupby('ICD')['Deduction_Amount'].median().reset_index() |
How many unique policy number exist? | result = df['Policy_Number'].nunique() |
How many unique icd exist? | result = df['ICD'].nunique() |
How many unique patient name exist? | result = df['Patient_Name'].nunique() |
How many unique provider name exist? | result = df['Provider_Name'].nunique() |
How many unique status exist? | result = df['Status'].nunique() |
What is the icd for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','ICD'] |
What is the icd disease for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Icd Disease'] |
What is the provider code for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Provider_Code'] |
What is the provider name for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Provider_Name'] |
What is the gender for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Gender'] |
What is the patient name for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Patient_Name'] |
What is the policy number for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Policy_Number'] |
What is the scheme for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Scheme'] |
What is the loss type for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Loss_Type'] |
What is the claim type for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Claim_Type'] |
What is the deduction amount for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Deduction_Amount'] |
What is the approved amount for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Approved_Amount'] |
What is the claim amount for claim number {claim_number}? | result = df.loc[df['Claim_Number'] == '{claim_number}','Claim_Amount'] |
What is the settlement ageing of each provider? | result = df.groupby('Provider_Name')['Settlement_Ageing'].mean().reset_index() |
What is the settlement ratio of each provider? | result = df.groupby('Provider_Name').apply(lambda x: (x['Approved_Amount'].sum()/x['Claim_Amount'].sum())*100).reset_index(name='Settlement_Ratio') |
How many claims are settled within 1 days? | sub = df[df['Settlement_Ageing'] <= 1]; result = len(sub) |
How many claims are settled after 1 days? | sub = df[df['Settlement_Ageing'] > 1]; result = len(sub) |
How many claims are settled within 10 days? | sub = df[df['Settlement_Ageing'] <= 10]; result = len(sub) |
How many claims are settled after 10 days? | sub = df[df['Settlement_Ageing'] > 10]; result = len(sub) |
How many claims are settled within 30 days? | sub = df[df['Settlement_Ageing'] <= 30]; result = len(sub) |
How many claims are settled after 30 days? | sub = df[df['Settlement_Ageing'] > 30]; result = len(sub) |
How many claims are settled within 50 days? | sub = df[df['Settlement_Ageing'] <= 50]; result = len(sub) |
How many claims are settled after 50 days? | sub = df[df['Settlement_Ageing'] > 50]; result = len(sub) |
How many claims are settled within 100 days? | sub = df[df['Settlement_Ageing'] <= 100]; result = len(sub) |
How many claims are settled after 100 days? | sub = df[df['Settlement_Ageing'] > 100]; result = len(sub) |
How many claims are settled within 270 days? | sub = df[df['Settlement_Ageing'] <= 270]; result = len(sub) |
How many claims are settled after 270 days? | sub = df[df['Settlement_Ageing'] > 270]; result = len(sub) |
How many claims are settled within 1000 days? | sub = df[df['Settlement_Ageing'] <= 1000]; result = len(sub) |
How many claims are settled after 1000 days? | sub = df[df['Settlement_Ageing'] > 1000]; result = len(sub) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.