Consider a Heart Disease dataset with their attributes details 1. id: patient identification number 2 ccf:...

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Consider a Heart Disease dataset with their attributes details 1. id: patient identification number 2 ccf: social security number (I replaced this with a dummy value of 0) 3 age: age in years 4 sex: sex (1 = male; 0 = female) 5 painloc: chest pain location (1= substernal; 0 = otherwise) 6 painexer (1 = provoked by exertion; 0 = otherwise) 7 relrest (1 = relieved after rest; 0 = otherwise) 8 pncaden (sum of 5, 6, and 7) 9 cp: chest pain type -- Value 1: typical angina -- Value 2: atypical angina -- Value 3: non-anginal pain -- Value 4: asymptomatic i) Identity the various types of attributes used in this dataset and justify your answer with explanation ( 4 Marks) Design the different type of composition type visualization using static and changing over the time attributes (6 marks) L Consider a Heart Disease dataset with their attributes details 1. id: patient identification number 2 ccf: social security number (I replaced this with a dummy value of 0) 3 age: age in years 4 sex: sex (1 = male; 0 = female) 5 painloc: chest pain location (1= substernal; 0 = otherwise) 6 painexer (1 = provoked by exertion; 0 = otherwise) 7 relrest (1 = relieved after rest; 0 = otherwise) 8 pncaden (sum of 5, 6, and 7) 9 cp: chest pain type -- Value 1: typical angina -- Value 2: atypical angina -- Value 3: non-anginal pain -- Value 4: asymptomatic i) Identity the various types of attributes used in this dataset and justify your answer with explanation ( 4 Marks) Design the different type of composition type visualization using static and changing over the time attributes (6 marks) L

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Attributes in the Heart Disease Dataset 1 id Numeric and categorical serving as patient identification 2 ccf Numeric and categorical representing a du... View the full answer