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 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 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 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.