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What is the total claim amount?
result = df['Claim_Amount'].sum()
What is the average claim amount?
result = df['Claim_Amount'].mean()
What is the median claim amount?
result = df['Claim_Amount'].median()
What is the standard deviation of claim amount?
result = df['Claim_Amount'].std()
What is the minimum claim amount?
result = df['Claim_Amount'].min()
What is the maximum claim amount?
result = df['Claim_Amount'].max()
What is the total approved amount?
result = df['Approved_Amount'].sum()
What is the average approved amount?
result = df['Approved_Amount'].mean()
What is the median approved amount?
result = df['Approved_Amount'].median()
What is the standard deviation of approved amount?
result = df['Approved_Amount'].std()
What is the minimum approved amount?
result = df['Approved_Amount'].min()
What is the maximum approved amount?
result = df['Approved_Amount'].max()
What is the total deduction amount?
result = df['Deduction_Amount'].sum()
What is the average deduction amount?
result = df['Deduction_Amount'].mean()
What is the median deduction amount?
result = df['Deduction_Amount'].median()
What is the standard deviation of deduction amount?
result = df['Deduction_Amount'].std()
What is the minimum deduction amount?
result = df['Deduction_Amount'].min()
What is the maximum deduction amount?
result = df['Deduction_Amount'].max()
What is the total claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].sum().reset_index()
What is the average claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].mean().reset_index()
What is the maximum claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].max().reset_index()
What is the minimum claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].min().reset_index()
What is the standard deviation of claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].std().reset_index()
What is the median claim amount per provider name?
result = df.groupby('Provider_Name')['Claim_Amount'].median().reset_index()
What is the total approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].sum().reset_index()
What is the average approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].mean().reset_index()
What is the maximum approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].max().reset_index()
What is the minimum approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].min().reset_index()
What is the standard deviation of approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].std().reset_index()
What is the median approved amount per provider name?
result = df.groupby('Provider_Name')['Approved_Amount'].median().reset_index()
What is the total deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].sum().reset_index()
What is the average deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].mean().reset_index()
What is the maximum deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].max().reset_index()
What is the minimum deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].min().reset_index()
What is the standard deviation of deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].std().reset_index()
What is the median deduction amount per provider name?
result = df.groupby('Provider_Name')['Deduction_Amount'].median().reset_index()
What is the total claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].sum().reset_index()
What is the average claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].mean().reset_index()
What is the maximum claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].max().reset_index()
What is the minimum claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].min().reset_index()
What is the standard deviation of claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].std().reset_index()
What is the median claim amount per loss type?
result = df.groupby('Loss_Type')['Claim_Amount'].median().reset_index()
What is the total approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].sum().reset_index()
What is the average approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].mean().reset_index()
What is the maximum approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].max().reset_index()
What is the minimum approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].min().reset_index()
What is the standard deviation of approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].std().reset_index()
What is the median approved amount per loss type?
result = df.groupby('Loss_Type')['Approved_Amount'].median().reset_index()
What is the total deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].sum().reset_index()
What is the average deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].mean().reset_index()
What is the maximum deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].max().reset_index()
What is the minimum deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].min().reset_index()
What is the standard deviation of deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].std().reset_index()
What is the median deduction amount per loss type?
result = df.groupby('Loss_Type')['Deduction_Amount'].median().reset_index()
What is the total claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].sum().reset_index()
What is the average claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].mean().reset_index()
What is the maximum claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].max().reset_index()
What is the minimum claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].min().reset_index()
What is the standard deviation of claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].std().reset_index()
What is the median claim amount per claim type?
result = df.groupby('Claim_Type')['Claim_Amount'].median().reset_index()
What is the total approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].sum().reset_index()
What is the average approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].mean().reset_index()
What is the maximum approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].max().reset_index()
What is the minimum approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].min().reset_index()
What is the standard deviation of approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].std().reset_index()
What is the median approved amount per claim type?
result = df.groupby('Claim_Type')['Approved_Amount'].median().reset_index()
What is the total deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].sum().reset_index()
What is the average deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].mean().reset_index()
What is the maximum deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].max().reset_index()
What is the minimum deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].min().reset_index()
What is the standard deviation of deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].std().reset_index()
What is the median deduction amount per claim type?
result = df.groupby('Claim_Type')['Deduction_Amount'].median().reset_index()
What is the total claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].sum().reset_index()
What is the average claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].mean().reset_index()
What is the maximum claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].max().reset_index()
What is the minimum claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].min().reset_index()
What is the standard deviation of claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].std().reset_index()
What is the median claim amount per scheme?
result = df.groupby('Scheme')['Claim_Amount'].median().reset_index()
What is the total approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].sum().reset_index()
What is the average approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].mean().reset_index()
What is the maximum approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].max().reset_index()
What is the minimum approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].min().reset_index()
What is the standard deviation of approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].std().reset_index()
What is the median approved amount per scheme?
result = df.groupby('Scheme')['Approved_Amount'].median().reset_index()
What is the total deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].sum().reset_index()
What is the average deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].mean().reset_index()
What is the maximum deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].max().reset_index()
What is the minimum deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].min().reset_index()
What is the standard deviation of deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].std().reset_index()
What is the median deduction amount per scheme?
result = df.groupby('Scheme')['Deduction_Amount'].median().reset_index()
What is the total claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].sum().reset_index()
What is the average claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].mean().reset_index()
What is the maximum claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].max().reset_index()
What is the minimum claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].min().reset_index()
What is the standard deviation of claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].std().reset_index()
What is the median claim amount per icd?
result = df.groupby('ICD')['Claim_Amount'].median().reset_index()
What is the total approved amount per icd?
result = df.groupby('ICD')['Approved_Amount'].sum().reset_index()
What is the average approved amount per icd?
result = df.groupby('ICD')['Approved_Amount'].mean().reset_index()
What is the maximum approved amount per icd?
result = df.groupby('ICD')['Approved_Amount'].max().reset_index()
What is the minimum approved amount per icd?
result = df.groupby('ICD')['Approved_Amount'].min().reset_index()
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