data:image/png;base64,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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 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.

240,00,100-240,0240,0