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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 2.240,00,100-240,00,-100240,0