Answer the following question based on analysing the data in the program: ID Age Gender Blood Pressure Cholesterol Blood Sugar BMI Diabetes Status 1 45 Male 130/80 210 Normal 25.5 No 2 32 Female 120/75 180 Normal 22.0 No 3 38 Male 140/85 220 High 28.3 Yes 4 27 Female 110/70 160 Normal 20.1 No 5 29 Male 125/78 200 Normal 23.8 No 6 35 Female 135/82 190 Normal 24.9 No 7 41 Male 145/88 240 High 29.7 Yes 8 45 Male 130/80 210 Normal 25.5 No 9 32 Female 120/75 180 Normal 22.0 No 10 38 Male 140/85 220 High 28.3 Yes 11 27 Female 110/70 160 Normal 20.1 No 12 29 Male 125/78 200 Normal 23.8 No 13 35 Female 135/82 190 Normal 24.9 No 14 41 Male 145/88 240 High 29.7 Yes 15 45 Male 130/80 210 Normal 25.5 No 16 32 Female 120/75 180 Normal 22.0 No 17 38 Male 140/85 220 High 28.3 Yes 18 27 Female 110/70 160 Normal 20.1 No 19 29 Male 125/78 200 Normal 23.8 No 20 45 Female 135/82 190 Normal 24.9 No 21 32 Male 145/88 240 High 29.7 Yes 22 38 Male 130/80 210 Normal 25.5 No 23 27 Female 120/75 180 Normal 22.0 No 24 29 Male 140/85 220 High 28.3 Yes 25 35 Female 135/82 190 Normal 20.1 No 1. Descriptive Statistics: -What is the average age of the patients? - What is the average BMI (Body Mass Index)? - How many patients have diabetes? 2. Compute Variable: - Create a new variable "Blood Pressure_Category" with values "Normal" for blood pressure below 120/80, "Prehypertension" for blood pressure between 120/80 and 139/89, and "Hypertension" for blood pressure 140/90 and above. 3. Frequency Analysis: - What is the distribution of gender among the patients? - How many patients have normal blood sugar levels, and how many have high blood sugar levels? 4. Correlation Analysis: - Is there any correlation between age and cholesterol levels? - Is there any correlation between BMI and diabetes status? 5. Logistic Regression: - Can you predict the likelihood of having diabetes based on age, gender, blood pressure, cholesterol levels, blood sugar levels, and BMI? 6. Charts/Graphs: - Create a histogram to visualize the distribution of cholesterol levels. - Create a bar chart to compare the average BMI based on gender. - Create a pie chart to visualize the distribution of diabetes status among the patients.