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