ProjectE | complete rewrite of EE2 for modern Minecraft versions | Video Game library

I'm trying to deploy a simple REST API written in Golang to AWS EKS.

I created an EKS cluster on AWS using Terraform and applied the AWS load balancer controller Helm chart to it.

All resources in the cluster look like:

I am working with the world and worldbank_df datasets in the spData package in R, and am needing to subset my data and graph my results. I am selecting the columns "continents" and "urban_pop," dropping all NA values, grouping by continent, and summarizing the mean urban population of all continents. However, when I go to graph the results using the geom_sf call, I am getting an error:

Error in FUN(X[[i]], ...) : object 'mean_urban_pop' not found

I need to graph this data in a world map, but it's not working for me because the geom coordinates are not being transferred over to my new dataset.

How can I get these results graphed?

Note: The below coordinate system projected is the one that I must use.

Here is my code:

I am using Apache Calcite to validate and rewrite SQL based on policies that put certain restrictions on these SQL queries. I am trying to modify a RelNode tree in order to rewrite the query to enforce these restrictions. I want to be able to remove certain parts from a query (after it has been validated). For example, I want to be able to remove projection fields (which I managed to do using RelBuilder.projectExcept) and to remove a table scan and its corresponding column references from a query.

Simple example:

The figure below is a conceptual diagram used by Michael Clark, https://m-clark.github.io/docs/lord/index.html to explain Lord's Paradox and related phenomena in regression.

My question is framed in this context and using ggplot2 but it is broader in terms of geometry & graphing.

I would like to reproduce figures like this, but using actual data. I need to know:

• how to draw a new axis at the origin, with a -45 degree angle, corresponding to values of y-x
• how to draw little normal distributions or density diagrams, or other representations of the values y-x projected onto this axis.

My minimal base example uses ggplot2,

For my android app i'm using a build.gradle.kts file containing this code:

I have created a 3D surface plot with the Plotly (Python) library. But the projected lines on the x- and z-projection planes are very hard to see because they are too closed to the surface plot. Any idea on how to widen the spacing between the surface plot and its x- and z-projection planes?

I am trying to get a volume mounted as a non-root user in one of my containers. I'm trying an approach from this SO post using an initContainer to set the correct user, but when I try to start the configuration I get an "unbound immediate PersistentVolumneClaims" error. I suspect it's because the volume is mounted in both my initContainer and container, but I'm not sure why that would be the issue: I can see the initContainer taking the claim, but I would have thought when it exited that it would release it, letting the normal container take the claim. Any ideas or alternatives to getting the directory mounted as a non-root user? I did try using securityContext/fsGroup, but that seemed to have no effect. The /var/rdf4j directory below is the one that is being mounted as root.

Configuration:

say we have a 2D grid that is projected on a 3D surface, resulting in a 3D numpy array, like the below image. What is the most efficient way to calculate a surface normal for each point of this grid?

I am getting the following error running React Native bundle release in the Android folder. I have tried updating Expo as well as installing an older version of it instead and I'm still getting the same error. Not sure what to try next?