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