To approach a data structure problem, follow these steps:

1. Understand the problem statement: Read the problem statement carefully and make sure you understand the requirements and constraints.

2. Identify the relevant data structures: Think about what data structures will be most suitable for storing and manipulating the given data.

3. Design the solution: Come up with an algorithm or plan to solve the problem using the selected data structures. Consider edge cases and optimize for time and space complexity.

4. Write code: Translate your algorithm into code, using the appropriate data structures.

5. Test your code: Test your solution using sample inputs and edge cases. Make sure your code is working as expected.

6. Analyze time and space complexity: Evaluate the time and space complexity of your solution and see if it meets the requirements of the problem.

7. Repeat the process: If your solution is not working as expected or if the time or space complexity is not optimal, repeat the process from step 3 and try to come up with a better solution.