plotly text to utf-8 encoding

[Marcell]

Hi,
I face with the following problem: I have a regional dataset from eurostat and I want to visualize it via ggplotly. However, plotly cannot manage the names of regions where utf-8 encoding would be requered. Is there a way to solve it?
I encolse a pic about the issue
Thank you for help in advance,
M

[jrkrideau]

Do you know what encoding the Eurostat data uses?

I have never used plotly so I a poor help but can I suggest a couple of things to help people here approach the problem.

We need your actual code and some sample data---if it is publicly available a link to the Eurostat dataset would probably be best.

Have a look at either

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

or

FAQ: What's a reproducible example (`reprex`) and how do I create one?

Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it and feel your pain. Then, hopefully, folks can more easily provide a solution. What's in a Reproducible Example? Parts of a reproducible example: background information - Describe what you are trying to do. What have you already done? complete set up - include any library() calls and data to reproduce your issue. data for a reprex: Here's a discussion on setting up data for a reprex make it run - include the minimal code required to reproduce your error on the data…

for some suggestions.

A very simple and very effective way to supply some data is to use the dput() command.

dput(mydata)

and then simply copy the output and paste it here. If you have a very large data set then a sample should be fine. To supply us with 100 rows of your data set do

dput(head(mydata , 100))

where mydata is the name of your dataframe or tibble