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