data:image/png;base64,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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 2.240,00,100-240,00,-100240,0