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