Django ORM + ChartJS + Pickle

def get_filename():
	dt = datetime.datetime.now()
	filename = '_stored_values-{}_{}_{}'.format(dt.year, dt.month, dt.day)
	return filename

def get_and_store_data(current_file_name):
	questions = [
		'Question 1',
		'Question 2',
		'Question 3',
		'Question 4',
		'Question 5',
		'Question 6',
		'Question 7',
		'Question 8',
		'Question 9',
		'Question 10',
		'Question 11',
		'Question 12',
		'Question 13',
	]

	data_sets = [
	    {
	        'label': set(('CC',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(255, 99, 132, 0.2)',
	        'borderColor': 'rgb(255, 99, 132, 1)',
	    },
	    {
	        'label': set(('DP',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(255, 159, 64, 0.2)',
	        'borderColor': 'rgb(255, 159, 64, 1)',
	    },
	    {
	        'label': set(('CM',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(255, 205, 86, 0.2)',
	        'borderColor': 'rgb(255, 205, 86, 1)',
	    },
	    {
	        'label': set(('CC', 'DP',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(75, 192, 192, 0.2)',
	        'borderColor': 'rgb(75, 192, 192, 1)',
	    },
	    {
	        'label': set(('CM', 'CC',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(54, 162, 235, 0.2)',
	        'borderColor': 'rgb(54, 162, 235, 1)',
	    },
	    {
	        'label': set(('DP', 'CM',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(153, 102, 255, 0.2)',
	        'borderColor': 'rgb(153, 102, 255, 1)',
	    },
	    {
	        'label': set(('CC', 'DP', 'CM',)),
	        'data': [0.0 for i in range(len(questions))],
	        'backgroundColor': 'rgb(231,233,237, 0.2)',
	        'borderColor': 'rgb(231,233,237, 1)',
	    },
	]

	surveys = Survey.objects.filter(state='closed')
	last_4_surveys = surveys.order_by('-id')[:4]

	relevant_responses = list()
	for survey in last_4_surveys:
	    responses = survey.response_set.filter(number_invalid__gte=0)
	    for response in responses:
	        relevant_responses.append(response)

	answer_sums = [0.0 for i in range(len(questions))]

	for data_set in data_sets:
		for question in questions:
			for response in relevant_responses:

				if set([member_cat for member_cat in response.member.category]) == data_set['label']:

					for answer in response.response_answers.filter(body__isnull=False):
						if answer.question.body == question:

							i = questions.index(question)
							a = float(answer.body)

							data_set['data'][i] = data_set['data'][i] + a
							answer_sums[i] = answer_sums[i] + a

	for data_set in data_sets:
		for i in range(len(questions)):
			if answer_sums[i] != None:
				data_set['data'][i] = data_set['data'][i]/answer_sums[i]

	with open(filename, 'wb') as f:
		pickle.dump(data_sets, f)

	os.remove(current_file_name)

def get_data():
	for i in os.listdir():
		if i.startswith('_stored_values-'):
			current_file_name = i

			if current_file_name != get_filename():
				get_and_store_data(current_file_name)

			with open(current_file_name, 'rb') as f:
				return pickle.load(f)