Created
March 15, 2021 09:30
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| age_count = inpatient_data['Age'].value_counts().to_dict() | |
| inpatient_data['Age_Count']=inpatient_data['Age'].map(age_count) | |
| sns.violinplot(x='PotentialFraud',y='Age', data=inpatient_data,width=0.5) | |
| plt.xlabel('potential fraud') | |
| plt.ylabel('Age_of_patients') | |
| plt.title('Age_of_patients vs frauds') | |
| sns.violinplot(x='PotentialFraud',y='Gender', data=inpatient_data,width=0.5) | |
| plt.xlabel('potential fraud') | |
| plt.ylabel('Gender_of_patients') | |
| plt.title('Gender_of_patients vs frauds') | |
| plt.show() |
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