data:image/png;base64,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 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