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 2.240,00,100-240,0240,0