# coord_flip: Cartesian coordinates with x and y flipped In ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

## Description

Flip cartesian coordinates so that horizontal becomes vertical, and vertical, horizontal. This is primarily useful for converting geoms and statistics which display y conditional on x, to x conditional on y.

## Usage

 `1` ```coord_flip(xlim = NULL, ylim = NULL, expand = TRUE, clip = "on") ```

## Arguments

 `xlim` Limits for the x and y axes. `ylim` Limits for the x and y axes. `expand` If `TRUE`, the default, adds a small expansion factor to the limits to ensure that data and axes don't overlap. If `FALSE`, limits are taken exactly from the data or `xlim`/`ylim`. `clip` Should drawing be clipped to the extent of the plot panel? A setting of `"on"` (the default) means yes, and a setting of `"off"` means no. In most cases, the default of `"on"` should not be changed, as setting `clip = "off"` can cause unexpected results. It allows drawing of data points anywhere on the plot, including in the plot margins. If limits are set via `xlim` and `ylim` and some data points fall outside those limits, then those data points may show up in places such as the axes, the legend, the plot title, or the plot margins.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```# Very useful for creating boxplots, and other interval # geoms in the horizontal instead of vertical position. ggplot(diamonds, aes(cut, price)) + geom_boxplot() + coord_flip() h <- ggplot(diamonds, aes(carat)) + geom_histogram() h h + coord_flip() h + coord_flip() + scale_x_reverse() # You can also use it to flip line and area plots: df <- data.frame(x = 1:5, y = (1:5) ^ 2) ggplot(df, aes(x, y)) + geom_area() last_plot() + coord_flip() ```

### Example output      ````stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
```

ggplot2 documentation built on May 2, 2019, 7:28 a.m.