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Learn descriptive statistics and data visualization techniques through hands-on analysis of breast cancer data to distinguish between benign and malignant tumors. Master central tendency measures including mean, median, mode, and weighted mean, then explore measures of dispersion such as variance, standard deviation, and interquartile range. Create advanced visualizations using violin plots, swarm plots, and pairplots to effectively compare statistical differences between groups. Discover how to assess data normality, interpret skewness and kurtosis values, and identify outliers while learning practical approaches for handling them in real-world analysis scenarios.
