Perform sentiment analysis to classify posts as positive, negative, or neutral, and visualize the results using a pie chart, without considering data quality issues.

Calculate basic statistics such as mean and standard deviation for the length of posts and visualize the results using a histogram, ignoring the textual content of the posts.

Use natural language processing techniques to extract keywords and topics from the posts, perform sentiment analysis, and visualize the results using a word cloud and sentiment distribution charts, after ensuring the dataset is clean and compliant.

Perform a data quality assessment to identify missing values, duplicates, and inconsistencies in the dataset, without analyzing the content of the posts for sentiment or trends.