{}
import pandas as pd
data = {'Scores': [60, 65, 70, 80, 85, 90, 90, 100]}
df = pd.DataFrame(data)
# Calculating Quantiles
Q1 = df['Scores'].quantile(0.25)
Q2 = df['Scores'].quantile(0.50) # Median
Q3 = df['Scores'].quantile(0.75)
# Calculating IQR
IQR = Q3 - Q1
print(f"Q1 (25th): {Q1}")
print(f"Q3 (75th): {Q3}")
print(f"IQR: {IQR}")
# Finding Outliers
lower_bound = Q1 - 1.5 * IQR
upper_bound = Q3 + 1.5 * IQR
outliers = df[(df['Scores'] < lower_bound) | (df['Scores'] > upper_bound)]
print(f"Outliers found: {outliers.values}")