Statistical Analysis in Python - 360: Descriptive Statistics and Data Visualization Descriptive Statistics

Welcome back! This is part 2 of my statistical analysis series. Today we're diving deeper into descriptive statistics and creating some really insightful visualizations. We'll be working with breast cancer data to understand the differences between benign and malignant tumors. Here's what we'll explore today: All about central tendency - mean, median, mode, and even weighted mean Measures of dispersion - understanding spread with variance, standard deviation, and IQR Creating advanced plots like violin plots, swarm plots, and pairplots Comparing statistics between groups (super useful for real-world analysis!) Checking if our data is normally distributed (spoiler: it often isn't!) Finding outliers and understanding what to do with them I'll also show you how to interpret skewness and kurtosis, which sounds fancy but I'll break it down so it actually makes sense. For the code from this video, follow this link: https://github.com/bnsreenu/python_for_microscopists/blob/master/360_Descriptive_Statistics_and_Data_Visualization.ipynb