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You're calling ReactDOM.render(, ...); multiple times, once in App.js and again in index.js. Calling render twice will cause two versions to appear.

App.js:

Since the size of the element is increased by the padding-bottom, other elements are also affected.　　 Once you put padding-top: 5px to the state before the change as shown below, it will work.　　

The correct syntax for selecting DOM elements via their attributes is this:

You can use .str and for index .idxmax:

The pandas DataFrame is designed for tabular data in which all the entries in any one column have the same type (e.g. integer or string). One row usually represents one instance, sample, or individual. So the natural way to parse your data into a DataFrame is to have two rows, one for each institution, and define the columns as what you have called index (perhaps with the address split into several columns), e.g. business type, street, city, state, post code, phone number, etc.

So there would be one row per institution, and the index would be used to assign a unique identifier to each of them. That's why it's desirable for the index to contain no duplicates.

In my experience, these errors on Unix often stem from missing external libraries. For example, installing the R xml2 package requires libxml2-dev to be installed via the system package manager (i.e. outside R) otherwise installation will fail.

I can't read French, but it looks to me as though the dependency jpeg failed, due to a missing external jpeg library, and then everything cascaded from there. You could try installing some version of the libjpeg library. I know it comes pre-installed in Ubuntu which may be why that worked for you. I'm a little surprised it doesn't come installed already in OpenSUSE, but I have no experience with OpenSUSE.

The link philipxy provided should point you the right direction. Another way approach this is to create an outer joined subquery with the desired filter criteria on invoice.

If you are using then with your async code make sure to always return the async call:

This problem seems to be specific to Linux and macOS.

In this issue and all other reports of the bug I could find, Linux or macOS are specifically referenced. But there is not official confirmation, as far as I can see.

To confirm this theory then, I tested your code on my Ubuntu and Windows 10 machines: On Linux I experience the crash described in the issue. On Windows I had no problems.

As a further note, I experience this issue with your specific example but haven't noticed it since installing R 4.1.0 last week. Why? Because I rarely work with R scripts and the issue is apparently not affecting the Console or R Markdown (knitting or running just the chunk). Both have no problem running the example.

So I believe there is no need for you to update to the preview. For people on Unix systems, it looks a bit different. If you regularly use R scripts, you should consider the preview linked in the issue or switch to R Markdown.