census | Source for census.ire.org , including data processing

I'm following this example notebook to learn SageMaker's processing jobs API: https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker_processing/scikit_learn_data_processing_and_model_evaluation/scikit_learn_data_processing_and_model_evaluation.ipynb

I'm trying to modify their code to avoid using the default S3 bucket, namely: s3://sagemaker--/

For their data processing step with the .run method:

I have a survival dataset df_survival with four columns Date, Tank, Feed_Group, and Census.

Here is the code to create a the dataset:

While I was transforming data from a dataframe in R (Rstudio), I wanted to give NA values to a specified column if the number is in a list. This list (I believe it is a list), comes from a boxplot.stats(x)$out.

So this is what I did to get a variable with a list of the numbers from the boxplot:

I need to extract specific information from a list in R. My data is 'Benford' object and doesn't seem to be coercible using as_tibble()

My data looks as follows:

I am using the url link to download this dataset:

https://files.hawaii.gov/dbedt/census/census_2020/data/redistricting/PLtable1_2020-county.xlsx

So in R I am coding it as:

I am working on a project where I am using a shape file to make a choropleth map of the United States. To do this, I downloaded the standard shape file here from the US Census Bureau. After a little bit of cleaning up (there were some extraneous island territories which I removed by changing the plot's axis limits), I was able to get the contiguous states to fit neatly within the bounds of the matplotlib figure. For reference, please see Edit 4 below.

Edit 1: I am using the cb_2018_us_state_500k.zip [3.2 MB] shape file.

The only problem now is that by setting axis limits I now am no longer able to view Alaska and Hawaii (as these are obviously cut out by restricting the axis limits). I would now like to add both of these polygons back in my map but now towards the lower part of the plot figure (the treatment that is given by most other maps of this type) despite its geographical inaccuracy.

To put this more concretely, I am interested in selecting the polygon shapes representing Alaska and Hawaii and moving them to the lower left hand side of my figure. Is this something that would be possible?

I can create a Boolean mask using:

I am trying to label the left facet side of my graph while leaving out the annotations on the right side.

Here are my libraries and data:

I have census data that is listed by country and separated by wards. There is also a variable for continent. Here is a sample dataset.

How might I capture all the years of age in a column with values like "20 to 24 years" for one group and "22 to 24 years" for another group? This will enable me to confirm I have all the working age (18-64) variable names captured in a tidycensus (R package) U.S. Census API query.

What I want is, for ages 20-24 in this example, a data frame that extracts the ages from label entries like "22 to 24 years":