Untitled

data= load_breast_cancer()
x = pd.DataFrame(data.data, columns=data.feature_names)
y = pd.Series(data.target, name="target")

df=pd.concat([x,y], axis=1)
print("Dataset Shape:",df.shape)
df.head()




print(df['target'].value_counts())



sns.countplot(x='target',data=df)
plt.title("Class Distribution (Cancer Diagnosis)")
plt.xticks([0,1],['Malignant (High Risk)','Benign(Low Risk)'])
plt.show

plt.figure(figsize=(10,8))
sns.heatmap(df.corr(),cmap='coolwarm')
plt.title("Feature of Correlation Heatmap")
plt.show()

sns.histplot(df['mean radius'],kde=True)
plt.title("Distrribution of mean radius")
plt.show()