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