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letthedataconfess/interquartlie range

Created February 1, 2021 16:32
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outlier_detection
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interquartlie range
dataset=[11,10,12,14,12,15,14,13,15,102,12,14,17,19,107,10,13,12,14,12,108,12,11,14,13,15,10,15,12,10,14,13,15,10]
dataset=sorted(dataset)
q1, q3= np.percentile(dataset,[25,75])
iqr = q3 - q1
lower_bound = q1 -(1.5 * iqr)
upper_bound = q3 +(1.5 * iqr)
print('lower_bound={},upper_bound={}'.format(lower_bound,upper_bound))
outliers_pt=[]
for x in dataset:
if x<lower_bound or x>upper_bound:
outliers_pt.append(x)
outliers_pt
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