Question: data [ ' SalePrice ' ] . rank ( ) . value _ counts ( bins = 2 5 , sort = False ) def

data['SalePrice'].rank().value_counts(bins=25, sort=False)
def logit(p):
return np.log(p /(1- p))
logit_value = logit(0.02)
print(logit_value)
Display the logit plot
#code here

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