USING PYTHON

data_dict = {'soda':['coke', 'diet coke', 'sprite', 'pepsi', 'mug', 'mt. dew'], 'cals': [140, 1, 90, 150, 130, 170], sodium':[45, 40, 65, 30, 65, 60], 'corp': ['coca cola', 'coca cola', 'coca cola', 'pepsico', 'pepsico', 'pepsico']} 3]: data = pd.DataFrame(data_dict) data 3]: O 1 2 3 soda cals coke 140 diet coke 1 sprite 90 pepsi 150 mug 130 mt. dew 170 sodium corp 45 coca cola 4 0 coca cola 65 coca cola 30 pepsico 65 pepsico 60 pepsico 5 B. Print a DataFrame containing only sodas with more than 10 calories. C. Print a DataFrame containing only sodas with more than 10 calories and less than 100 calories. D. Print a DataFrame containing only data for coke, pepsi, and mug. Use the isin() method