Why tidy data matters
summary
Shows cleaning WHO TB data from 1995–2008 into a tidy shape using tidyr::gather and tidyr::separate, then aggregates with dplyr::group_by and summarize and plots with ggplot2 including a linear fit. Demonstrates that each variable becomes its own column and each row one observation, enabling vectorized operations, and finds a clear male vs female difference in case counts with male counts rising faster over the period.
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