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 2.240,00,100-240,00,-100240,0