Road Map for DA
by Sergio Andres

1. Can be different depending on what kind of query are you using.
2. Allows for different data types depending on which database you're using.
2.1. For example an Excel document
3. "Worldwide Interests in Sweets through Google Searches.
3.1. String (Stn)
3.1.1. Column H
3.1.1.1. Most pupular choice
3.2. Number (INT)
3.2.1. Column B
3.2.1.1. Cupcake
3.2.2. Column D
3.2.2.1. Icecream
3.2.3. Colum F
3.2.3.1. Candy
3.3. Boolean
3.3.1. Colum C
3.3.2. Column E
3.3.3. Column G
4. Data Type; Is a specific kind of data attribute that tells what kind of value the data is.
4.1. SQL: Structure Query Language
5. "Long data is a great format for storing and organizing data when there's multiple variables for each subject at each time point that we want to observe. "
6. Data structuring
6.1. Wide Data
6.1.1. Data with single row, but multiple column to hold the attribute's values.
6.2. Long Data
6.2.1. Data in which each row is one time point per subject, so each subject will have data in multiple rows.