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 2.0,240100,00,-240-100,00,240