def computeContinuousStatistics(df):
	"""computeContinuousStatistics
	Computes statistics for continuous features.

    Input:
    df -- DataFrame to use
    
	Output:
	{} -- a dictionary containing the statistics
    """

	# returning the final statistics
	return {
		'count': len(df),
		'miss_percentage': ((len(df)-df.count())*100)/len(df),
		'card': df.nunique(),
		'minimum': df.min(),
		'first_quartile': df.quantile([0.25][0]),
		'mean': df.mean(),
		'median': df.median(),
		'third_quartile': df.quantile([0.75][0]),
		'maximum': df.max(),
		'std_dev': df.std()
	}