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This canvas performs a comprehensive statistical analysis of Titanic passenger survival by examining the interaction between ticket class and gender using data cleaning, visualization, and chi-squared testing to determine if these factors had a statistically significant relationship with survival outcomes. The workflow loads the Titanic dataset, cleans the data (removing nulls, converting categorical variables), generates survival rate tables, creates a clustered bar chart visualization, and conducts statistical testing to answer whether ticket class and gender significantly influenced survival chances.