X6 | 🚀 JavaScript diagramming library that uses SVG | Chart library

Here's my example dataframe:

Assume I have the following raw dataframe composes of some students information:

I'm trying to setup a Google Kubernetes Engine cluster with GPU's in the nodes loosely following these instructions, because I'm programmatically deploying using the Python client.

For some reason I can create a cluster with a NodePool that contains GPU's

...But, the nodes in the NodePool don't have access to those GPUs.

I've already installed the NVIDIA DaemonSet with this yaml file: https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

You can see that it's there in this image:

For some reason those 2 lines always seem to be in status "ContainerCreating" and "PodInitializing". They never flip green to status = "Running". How can I get the GPU's in the NodePool to become available in the node(s)?

Based on comments I ran the following commands on the 2 NVIDIA pods; kubectl describe pod POD_NAME --namespace kube-system.

To do this I opened the UI KUBECTL command terminal on the node. Then I ran the following commands:

gcloud container clusters get-credentials CLUSTER-NAME --zone ZONE --project PROJECT-NAME

Then, I called kubectl describe pod nvidia-gpu-device-plugin-UID --namespace kube-system and got this output:

I am needing to figure out a bit-hack to find the first location where the bit-value changes. It could be from 0 to 1 or 1 to 0.

I am currently trying to find a way to find unique column values in otherwise duplicate rows in a dataset.

My dataset has the following properties:

• The dataset's columns comprise an identifier variable (ID) and a large number of response variables (x1 - xn).
• Each row should represent one individual, meaning the values in the ID column should all be unique (and not repeated).
• Some rows are duplicated, with repeated entries in the ID column and seemingly identical response item values (x1 - xn). However, the dataset is too large to get a full overview over all variables.

As demonstrated in the code below, if rows are truly identical for all variables, then the duplicate row can be removed with the dplyr::distinct() function. In my case, not all "duplicate" rows are removed by distinct(), which can only mean that not all entries are identical.

I want to find a way to identify which entries are unique in these otherwise duplicate rows.

Example:

I have a Piece of code that's supposed to change the text displayed according to the current day of the week and the time of day.

For some reason the if/else statements I'm using to check variables are altering the day variable. The end value changes from day do day and removing sections of if else statements also change the result.

I plan on embedding this on a WordPress site using the HTML block

I have a sql table as follows,

I have a nested list of lists which contains some data frames. However, the data frames can appear at any level in the list. What I want to end up with is a flat list, i.e. just one level, where each element is only the data frames, with all other things discarded.

I have come up with a solution for this, but it looks very clunky and I am sure there ought to be a more elegant solution.

Importantly, I'm looking for something in base R, that can extract data frames at any level inside the nested list. I have tried unlist() and dabbled with rapply() but somehow not found a satisfying solution.

Example code follows: an example list, what I am actually trying to achieve, and my own solution which I am not very happy with. Thanks for any help!

I am trying to render a table on shinyapps.io, but it is populating with all NA's. I am scraping NCAA basketball spreads from https://www.vegasinsider.com/college-basketball/odds/las-vegas/. Locally, the table renders fine. But on shinyapps.io, all the numeric spreads display as NA's. It only displays correctly on shinyapps.io if all the spread values are characters. But then I cannot perform any math operations. As soon as the BetMGM, Caesers, FanDuel columns are numeric, they display with NA. I'll provide some code and data to help recreate the issue. There was a lot of data cleaning steps that I will skip for the sake of brevity.

@akrun here is the code to scrape the table. I do this and then some regex to split apart the game_info into components.