👉 The ending of the computation phase typically involves summarizing the key results, validating the accuracy of these results against expected outcomes or real-world data, and presenting them in a comprehensible format. This phase often includes generating insights from the processed data, identifying patterns or anomalies, and making recommendations based on the analysis. Additionally, it may involve creating visualizations such as graphs or charts to enhance understanding and communicate findings effectively. The goal is to ensure that the computational results are not only accurate but also actionable and understandable for stakeholders, whether they are technical experts or non-technical decision-makers.
