data:image/png;base64,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

data:image/png;base64,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 list of numbers is confusing because it is not obvious which numbers are x and which are y coordinates. It will also be difficult to maintain (add or delete coordinates to the lists). It would be better to create a matrix (a list of list). Each item in the list will be a list of x and y coordinates.Abstract Data Types (ADT) is a custom data type created by the programmer to provide meaning to the data in your program. It is not built into the programming language. ADT are created with custom constructor and selector functions (blocks). ADT are a form of abstraction because they make are program easier to understand, read, and debug.Lists and Numbers are examples of Primitive Data TypesStep 2: Create two report blocks (the selectors) that will take the list created by the contructor block as the domain and output a single number as the range (one the x coordinate the second block the y coordinate).Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape Step 4: Create a Draw Shape Command Block whose domain will be the list of Coordinate Points create in step 3. The command block will draw the shape on the screen by using a the for each item block and the selector blocks created in Step 2.Step 1: Create A Reporter block (the constructor) that will take two numbers as the domain (x and y coordinates) and output a list as the range.