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.

240,00,100-240,0240,0