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 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.Step 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.240,00,100-240,00,-100240,0