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Anxiousness in Public Breastfeeding

This analysis examines crimes against women in India from 2001-2021 using official data across 36 states. Total reported cases reached 4,867,722, with Domestic Violence accounting for 39.24% of all incidents. Uttar Pradesh recorded the highest crimes (2,843,264 cases), while Lakshadweep reported the lowest (171 cases). Reported crimes increased by 152.5% over the two-decade period, with 2014 being the worst year. ANOVA confirmed statistically significant differences in crime rates across all states (p < 0.001). Strong correlations exist between Rape and Assault on Women (0.804) and Rape and Kidnapping (0.701). All crime distributions are highly right-skewed, indicating most states report low cases with few extreme outliers. Outliers range from 5.57% in Rape cases to 11.41% in Kidnapping cases. Regression analysis predicts continued upward trends through 2025. These findings highlight urgent need for targeted interventions in high-risk states and integrated crime prevention strategies.

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This chapter introduces the "Mathematical Compass" of Data Science: Regression Analysis. While previous chapters focused on grouping and labeling, students will now learn to predict continuous, numerical outcomes. By mastering the ability to quantify exactly how one variable influences another, students will move from simply describing data to building models that can estimate everything from market trends to housing prices with statistical precision. Core Topics covered: Chapter Overview Simple Linear Regression Multiple Linear Regression Regression Diagnostics Variable Selection Regularized Regression Non-Linear Regression Regression for Count and Categorical Outcomes Chapter Lab Activity: Housing Price Regression with Boston Dataset