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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 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