- Plot Data with ggplot; 2.2 Time series data in r - Dates in R - Subset Time Series Data - Summarize Time Series Data - Homework example: Stream Discharge - Bonus: Summarize & Filter Data - Interactive Time Series Plots; Clean code & getting help with r - Write Clean Code - About R / Get Help ggplot2 can easily create individual growth curves. You also have access to all the power of ggplot2 with them—this means it is easy to facet, add data summaries, add smooths, or anything else. Some data manipulation can also help to make the individual curves more useable (e.g., sorting by a meaningful value rather than ID).

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    r documentation: Displaying multiple plots. Example. Display multiple plots in one image with the different facet functions. An advantage of this method is that all axes share the same scale across charts, making it easy to compare them at a glance.

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    Display multiple charts in a grid by 2 variables: ggplot(mpg, aes(x = displ, y = hwy)) + geom_point() + facet_grid(trans~class) #"row" parameter, then "column" parameter Prepare your data for plotting. ggplot2 works best with a long data frame. The following sample data which represents the prices for sweets on 20 different days, in a format described as wide, because each category has a column.

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