import pandas as pd
data = {
    'Name': ['Dillon', 'Noor', 'Steven', 'Lucas', 'Harsha', 'Varalu', 'Ryan', 'Emaad'],
    'Age': [24, 31, 42, 27, 29, 26, 90, 15],
    'Gender': ['M', 'M', 'M', 'M', 'F', 'F', 'F', 'F'],
    'Grade': ['A', 'B', 'A', 'D', 'C', 'F', 'B', 'A']
}
df = pd.DataFrame(data)
print(df)
print()
print()
# Data Analysis 1
print("THE AVERAGE AGE OF THE BOYS IS...")
print(df['Age'].mean())
# Data Analysis 2
print()
print()
print("THE MEDIAN AGE OF THE BOYS IS...")
print(df['Age'].median())
print()
print()
# Data Analysis 3
print("SOME STATISTICS ABOUT THE BOYS HEIGHTS:")
print(df.describe())
     Name  Age Gender Grade
0  Dillon   24      M     A
1    Noor   31      M     B
2  Steven   42      M     A
3   Lucas   27      M     D
4  Harsha   29      F     C
5  Varalu   26      F     F
6    Ryan   90      F     B
7   Emaad   15      F     A


THE AVERAGE AGE OF THE BOYS IS...
35.5


THE MEDIAN AGE OF THE BOYS IS...
28.0


SOME STATISTICS ABOUT THE BOYS HEIGHTS:
             Age
count   8.000000
mean   35.500000
std    23.268618
min    15.000000
25%    25.500000
50%    28.000000
75%    33.750000
max    90.000000