data:image/png;base64,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: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.

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