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