Data Presentation

Data Presentation

Literature Review

  • It’s the process of researching and summarising existing literature on your chosen topic.
  • Identifying major themes, principles, and variables relevant to your proposed research.
  • Helps in refining your research question or even in building your thesis statement.
  • Evaluates previous research findings, contradictions, gaps and limitations to your topic.
  • Always cite your sources properly to avoid plagiarism.

Investigative Project Proposal

  • Clearly identify and describe the scientific issue you plan to investigate.
  • Provide a rationale or justification for the project.
  • Describe the project’s objectives and how each of them will be achieved.
  • State your hypothesis clearly.
  • Provide an overview of the methods and strategies you intend to use.


  • Time management is an important part of your project.
  • Develop a realistic timetable to cover all the stages of your project.
  • Periodic milestones help keep you on track.
  • Incorporate time for any necessary corrections or adjustments.


  • Systematically outline how you will carry out your project.
  • Include all the necessary steps and actions.
  • Ensure the plan is logical and methodical to follow.

Health and Safety and Ethical Considerations

  • Evaluate all potential risks in your project.
  • Make sure the project keeps within ethical guidelines.
  • Have a plan for managing any potential risks or breaches of ethics.
  • Ensure compliance with regulations on data protection and participant confidentiality.

Experimental Procedures and Techniques

  • Document your methodology clearly.
  • Maintain a record of all procedures, calibration of instruments, materials used, etc.
  • Be consistent in application of methods and techniques.

Collect, Collate and Analyse Data

  • Use both qualitative and quantitative methods.
  • Subject your data to appropriate statistical analyses.
  • Always crosscheck your data for errors.
  • Keep your raw data safe and organised for future reference.

Data Presentation

  • Present your data in a clear and easily understandable format.
  • Graphs, charts and tables can be used to simplify complex data.
  • Use a clean layout that allows your data to speak for itself.
  • Don’t forget to label your axes or columns for clarity.