Module 1: Introduction to Data Analytics and Data Dictionaries Exercises - 75 points 1. To get an idea of the types of data elements that will be collected, ask 10 people for the following information for the above information. Record the information in the table below. Identify the individuals by a unique identifier (you decide). (5 points) Table 1 Identifier Age Gender Height Weight Smoker Reg Diet BMI Soda/Day Soda/Day 1. Tootsie 54 F 5ft 4 in 242 Y 0 10 41.5 2. Pinkie 30 F 4ft 11in 142 N 2 0 28.7 3. Moon 45 M 5ft 9in 200 Y 0 0 29.5 4. Lee 50 M 5ft 10in 180 N 9 0 25.8 5 . Brownie 25 M 6ft 2in 195 Y 0 7 25.0 6 Star 20 F 5ft 3 in 120 Y 4 2 21.3 7. John 60 M 5ft 8in 225 N 7 0 34.2 8 Rosy 19 F 5ft 6in 100 Y 0 3 16.1 9. Oliver 75 M 6ft 1in 230 N 3 0 30.3 10. Bossy 80 F 5ft 1in 145 N 0 0 27.4 2. Now create a data dictionary: Define the characteristics/format/attributes of each element you are collecting. The data dictionary specifies how the data element is recorded. For example, should height be in total inches or feet and inches? How is the amount of soda collected? (14 points) Data Element Format of the field Data Element Description of data Unique Identifier Age numeric) 3 characters max in whole numbers Gender M = Male F = Female U = Undetermined Height Weight Smoker Reg.Soda/day Diet Soda/day BMI