Based on the dataset information given above, please answer the following questions. You are required to perform the following tasks using R Studio. Please provide the script, and screenshot of the output.Q. If you want to visualize the relation between BMI, age, and DiabetesPedigreeFunction,which chart is more suitable? Visualize these three attributes in R. Please include proper header and label. 3. Table below show sample data obtained from the Diabetes dataset. Calculate the locationand dispersion univariate statistics for the BMI attribute.Pregnancies Glucose Blood Pressure SkinThickness Insulin BMI DiabetesPedigreeFunction Age61487235033.60.6275018566026.60.35131818364023.30.67232189669428.10.16721511674025.60.201303785088310.24826101150035.30.1342910168740380.537341013980027.11.44157160846 30.10.398591892902303200023

solutions: data in order: 23.3 25.6 26.6 27.1 28.1 30.1 31 33.6…

Answered: Based on the dataset information given…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Based on the dataset information given above, please answer the following questions. You are required to perform the following tasks using R Studio. Please provide the script, and screenshot of the output.

Q. If you want to visualize the relation between BMI, age, and DiabetesPedigreeFunction,which chart is more suitable? Visualize these three attributes in R. Please include proper header and label.

3. Table below show sample data obtained from the Diabetes dataset. Calculate the location
and dispersion univariate statistics for the BMI attribute.
Pregnancies Glucose Blood Pressure SkinThickness Insulin BMI DiabetesPedigreeFunction Age
6
148
72
35
0
33.6
0.627
50
1
85
66
0
26.6
0.351
31
8
183
64
0
23.3
0.672
32
1
89
66
94
28.1
0.167
21
5
116
74
0
25.6
0.201
30
3
78
50
88
31
0.248
26
10
115
0
0
35.3
0.134
29
10
168
74
0
38
0.537
34
10
139
80
0
27.1
1.441
57
1
60
846 30.1
0.398
59
189
29
0
23
0
32
0
0
0
23

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