What are the key differences between popular R libraries like ggplot2, dplyr, and tidyr?
ggplot2 is primarily for data visualization, dplyr is focused on data manipulation, and tidyr helps in tidying data.
Can you give me an example of how to use dplyr for data manipulation?
Sure! You can use dplyr's filter()
to select rows and mutate()
to create new columns. For example: data %>% filter(age > 30) %>% mutate(new_col = age * 2)
.
How does ggplot2 handle different types of plots?
ggplot2 uses a layered approach. You can add layers for points, lines, and more using geom_point()
, geom_line()
, etc.
What about tidyr? How does it help with data?
Tidyr helps reshape your data. Functions like pivot_longer()
and pivot_wider()
allow you to convert between wide and long formats.
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