# Create a pandas series s of numbers from 1 to 20

# Create a pandas DataFrame df of 8 rows 4 columns of random numbers between 0 to 10 with each row index being numbers 1 to 8, and columns being red, green, blue, and alpha

# Run describe on df

# Take the transpose of df to see result

# Sort df by alpha and store in df2

# Multiply first 4 sorted rows of df2 by 2

# Add 5 to each value in alpha column of df2

# Get only the rows where both red and green are above 5 and store in df3

# Get only the columns blue and alpha from df3 and store into df4

# Load into pandas dataframe df5 StudentPerformanceFactors.csv

# Remove any rows with missing data from df5

# Describe df5

# Sort the grades from best to worst

# Grab only the men and store in df5_men

# Calculate the mean of exam scores in df5_men

# BONUS: Get average time spent studying for men who got 80 or over