Calculate the average click-through rate for each advertising campaign and visualize the results using a bar chart to compare performance across campaigns.

Perform a cohort analysis to compare click-through rates across different user segments, such as age or gender, and identify trends over time.

Use natural language processing techniques to analyze the content of advertising headlines and identify patterns that are more likely to drive user engagement, alongside assessing data quality issues.

Perform a data quality assessment to identify missing values, duplicates, and inconsistencies in the dataset, ensuring the reliability of the analysis.