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 2.240,00,100-240,0240,0240,00,100-240,00,-100240,0230,170-230,170-230,-170230,-170230,170