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