Table 1 Age Smoker Reg Diet Soda/Day Soda/Day ---_ --_ n--__ --__ m--_ m-- E____-_ m--_ El--_____ -_--_____ 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 coliected? {14 points) "I" Data Element Format of the field Data Element Description of data Unique Identifier (numeric) 3 characters max in whole numbers Gender M = Male F = Female U = Undetermined Height Weight Smoker Reg.Soda lday Diet Soda/day 3. Now create another table with the data collected in 1 and using the format specified in the data dictionary. Enter the column headings that are descriptive of the data collected. (10 points) New table with standardized data elements according to the data dictionary. HDIM 1030 Health Data Management and Use Unit 1: Managing Health Data Module 1: Introduction to Data Analytics and Data Dictionaries Exercises , 75 points 4. Now that you have gone through the process of collecting data, deveioping a data dictionary. and then using the dictionary description to reformat the data originally coliected, describe three benefits that are gained by using a data dictionary. (6 points)