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 2.240,00,100-240,0240,0