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 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.Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 240,00,100-240,00,-100240,0