# List of characters to remove
chars_to_remove = ['+',',','$']
# List of column names to clean
cols_to_clean = ['Installs','Price']

# Loop for each column in cols_to_clean
for col in cols_to_clean:
    # Loop for each char in chars_to_remove
    for char in chars_to_remove:
        # Replace the character with an empty string
        apps[col] = apps[col].apply(lambda x: x.replace(char, ''))
        
# Print a summary of the apps dataframe
print(apps.info())