Package "plotly" provide powerful web interactive tools in chart. ggplot2 is very intuitively for creating charts. Use ggplotly to transform ggplot2 object into plotly object is very convenient. But sometimes it's will make you surprised
For example
```{r}
library(ggplot2)
library(plotly)
df <- diamonds
p <- ggplot(df, aes_string(x = 'carat', y = 'cut')) +
geom_boxplot()
print(p)
```
But the chart will not as you desire if you use ggplotly
```{r}
library(ggplot2)
library(plotly)
df <- diamonds
p <- ggplot(df, aes_string(x = 'carat', y = 'cut')) +
geom_boxplot()
print(ggplotly(p))
```
plotly default set boxplot as verticle, so we use coord_flip to plot horizontal boxplot
```{r}
p <- ggplot(df, aes_string(y = 'carat', x = 'cut')) +
geom_boxplot()+
coord_flip()
print(ggplotly(p))
```
for grouped boxplot
```{r}
p <- ggplot(df, aes_string(y = 'carat', x = 'cut', color = 'clarity')) +
geom_boxplot() +
coord_flip()
print(p)
```
use ggplotly get stacked boxplot
```{r}
p <- ggplot(df, aes_string(y = 'carat', x = 'cut', color = 'clarity')) +
geom_boxplot() +
coord_flip()
print(ggplotly(p))
```
fine tune ploty layout:
```{r}
p <- ggplot(df, aes_string(y = 'carat', x = 'cut', color = 'clarity')) +
geom_boxplot() +
coord_flip()
print(ggplotly(p) %>% layout(boxmode='group'))
```
