data:image/png;base64,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

data:image/png;base64,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The 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 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.Step 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.