I learnt that data cleaning is important to avoid unnecessary data and outliers. For instance, errors in numerical fields can distort the findings. Apart from this, visualisations are critically significant to transform data into compelling insights. Further, the cross-validation and integration with literature can help to strengthen the validity of the findings. Application to applied project. This lesson demonstrated that effective data contextualization and wrangling is significant to utilize the raw data. Without this, the data might not be able to lead the meaningful insights. The insights clearly documented and validated through the research are preferred. The report demonstrated the application of structured analysis to inform practical scenario-oriented strategies. - does this text follow the provided format structure. highlight what it does and does not have. the word limit is 105 words