# Troubleshooting in R

How to troubleshoot import and rendering problems in Plotly with R.

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

### Version Problems

In order to follow the examples in this documentation site, you should have the latest version of plotly installed (4.10.0.9000), as detailed in the Getting Started guide. This documentation (under https://plotly.com/r) is compatible with plotly version 4.x but not with version 3.x. In general you must also have the correct version of the underlying Plotly.js rendering engine installed, and the way to do that depends on the environment in which you are rendering figures: Dash. Read on for details about troubleshooting plotly in these environments.

### Import Problems

Most import problems or AttributeErrors can be traced back to having multiple versions of plotly installed. It's often worthwhile to uninstall before following the Getting Started instructions from scratch with one or the other. You can run the following commands in the console to fully remove plotly before installing again:

remove.packages('plotly')


Problems can also arise if you have a file named plotly.R in the same directory as the code you are executing.

### Dash Problems

If you are encountering problems using plotly with Dash please first ensure that you have upgraded dash to the latest version, which will automatically upgrade dash-core-components to the latest version, ensuring that Dash is using an up-to-date version of the Plotly.js rendering engine for plotly. If this does not resolve your issue, please visit our Dash Community Forum and we will be glad to help you out.

This is an example of a plotly graph correctly rendering inside dash:

library(plotly)

fig <- plot_ly(x = c(0,1,2), y = c(3,7,9), type = 'bar')
#fig

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new() app$layout(
htmlDiv(
list(
dccGraph( id = 'graph',
figure= fig
)))

)

#app$run_server()  Use app$run_server() to run the dash app.

### Orca Problems

If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded.

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new() app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
)