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