reproject | reproject GeoJSON between different projections

I have POINT_X, POINT_Y, and a z-point column in a .csv file that I'm trying to reproject in R. Originally, it was projected in the EPSG:26777 reference system, but I'm trying to project it back to WGS 84. However, when I import the .csv file into R and try the conversion, it does not change the point values in my "geometry" column. How can I change them to latitude and longitude coordinates?

Here is the data, exported in the original projection:

I am working with some public datasets, which can be accessed here inside the 'stack_question' folder).

I am trying to create a map of all the supermarkets within the state of Kansas using the tmap library in R. Using ggplot, I generated a map using the following code:

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 working with rTerra and having an issue with the CONUS historical disturbance dataset from LANDFIRE found here:https://landfire.gov/version_download.php (HDist is the name). To summarize what I want to do, I want to take this dataset, crop and project to my extent, then take the values of the cells and separate them as layers. So I want a layer for severity, one for disturbance type, etc. The historical disturbance data has these things all in one attribute table. In terra, this attribute table is set up under categories and this is providing a lot of problems. I have not had issues with the crop nor reproject, it is getting into the values and separating the categories into layers. I have the following code

I have looked a lot at the xarray documentation of the interp function and I cannot really make sense of it. I see it is a reprojection but it doesn't really fit a real case example. Is their someone that could make sense of it for example by reprojecting this dataset on a webmercator datum?

I used the .combine command to convert two image collections into a two-band image collection (in the last line) to use in a function in the next step. This command is executed but writes 0 elements in the console. Where does this problem come from?

code link: https://code.earthengine.google.com/ed0992093ff830d926c7dd14403477c6

Code:

I am trying to clip a raster using a polygon an GDAL. At the moment i get an error that there is a read access violation when initializing the WarpOperation. I can access my Shapefile and check the num of features so the access is fine i think. Also i can access my Raster Data (GetProjectionRef).. All files are in the same CRS. Is there a way to use GdalWarp with Cutline?

I am new to postgis, so please excuse what may be a very misguided question. I'm trying to reproject coordinates into a standard datum, but in some cases I don't think I'm getting a realistic result. The most obvious is from https://epsg.io/4813 to https://epsg.io/4326.

I am trying to plot a geodataframe of polygons making up part of British Columbia using plotly. I have plotted the gdf using geopandas so I know the geometries are ok. When I attempt to use the plotly syntax for plotting a geodataframe using the geometry column in place of a json file, the plot opens a window in the browser with a legend and a colour bar but no map int the box.