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 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.Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 240,00,100-240,00,-100240,0