PCT | Jittor implementation of PCT : Point Cloud Transformer | Machine Learning library

You can simply map the size aesthetic to n. (Note that I changed your example data to reflect what I think you actually wanted — your example data had differing sample sizes within the two groups, and n as character instead of numeric.)

I would pre-compute the summaries you want. Here is the proportion within each subtype:

That is odd. The sending source IP is definitely in your SPF, and the DMARC record includes aspf=r, so the header from address in a child domain is valid and matches. I'd also note that your DMARC has p=quarantine, but gmail is acting like it's reject. This is gmail though, so you can't expect it to behave well.

I expect that the problem is that you don't have an SPF record set for server.cbs-canon.com, so make sure that exists and allows the same sources as cbs-canon.com. It looks like you're not doing DKIM signatures either, meaning that both SPF and DKIM are failing, resulting in a DMARC failure. Try adding that DNS record, or redirecting/including server. to your root domain.

You could add a label to each bar with the frequency, though Pct and Freq aren't on the same scale.

You calculate the quantiles by testing where the relevant time string is part of the date string in the input data. The date string consists of year, month, day, hour, minutes and seconds. The time string, however, only consists of the hour and minutes. With the input dates have all their seconds set to zero, your input date timestamps are like "01:00:00", "02:00:00" and so. Which is fine, but when comparing the strings (with in), there is a problem for the comparison time string "00:00": it fits all date strings: it just matches hours and minutes with minutes and seconds. E.g., "00:00" is in "02:00:00" evaluates to True. As a result, all(?) input data will be added to the "00:00" timestamp, instead of no input data.

So, an easy solution is to add seconds to your comparison times:

Try using a combination of shift and cumsum:

Blazor can talk with javascript through Microsoft.JSInterop.IJSRuntime. You can create a javascript function in your index.html to show Gantt, then call it from your blazor code.

Here is an example. I simply implement the example from https://github.com/jsGanttImproved/jsgantt-improved.

First, in you index.html, include jsgantt css and js, and prepare a function to be called from blazor. It is kind of an api exposed to blazor to show Gantt. I assume you save jsgantt files under wwwroot/content folder.

The executables just need to be added to somewhere in your container's $PATH. Folks often like to use /usr/local/bin for this, but you can check other locations with:

You could achieve your desired result like so:

1. As for the bars set position="fill" in geom_label too.
2. To only add the val if count=TRUE use an ifelse which assigns an NA to FALSE.
3. To silence the warning about removed missing use na.rm=TRUE.