SkillSet | Intuitive job-candidate skill visualization | Data Visualization library

I want to change hamburger icon and change hamburger icon to x icon when its clicked.

Question: Can Azure Cognitive Search's ConditionalSkill use a greater than or equal operator to compare two string fields or can it only do non-equality comparisons between numeric fields?

I'm looking to use the ConditionalSkill to compare two fields coming in from a Cosmos DB. Field1 and Field2. Both are string fields (or at least the comsos db data source seems to force it to be a string in the indexer). My goal is to create a new field in my search index called compareResults which is a Boolean. If field1 ('ABC') is greater than or equal to field2 ('DEF'), it should return true else return false.

The example provided on the docs pages seem to only show string equality between two fields and a greater than or equals to comparison for a numeric field and a literal value.

My skillset is defined below but whenever I execute the indexer, I end up with an error detail of left Parameter name: left operand is not a number. However, when I switch to an equality operator == it works! This occurs whether field1 or field2 is a string or a number in cosmos db or a Edm.String or Edm.Int32 in the search index.

I'm attempting to find a way to use a set of data from a subquery to search a table for results that do not match the set of data.

Here is the table definition:

I'm trying to make a shuffled copy of an array called tst. I've defined a copy of tst called batch, and then shuffled batch so that tst remains intact & unshuffled. However, in doing so, I'm finding that shuffling batch also (for some reason) shuffles tst in the process.

To fully understand my dilemma, consider the following code snippet:

I'm creating a java scraping program using selenium and inserting the data into a database. I'm actively looking to improve my skillset but I don't find instructional videos too helpful since I lose interest, but I really enjoy learning through doing. This code below works as needed, but it looks really really ugly and I feel there must be a better/cleaner solution. For reference it builds a comma separated string with data such as "Value1", or "Value1, Value2", etc depending on the keyword count. My original logic was outputting ", Value1, Value2" which is why I added the "if (x ==0)" logic. I have a lot of methods that are just sloppy like this, so any pointers for improving my code is appreciated, thanks!

I am trying to reproduce a graphic similar to what is used on the California Dashboard for School Accountability in R Shiny. For sake of this example, consider the following data frame:

I am having an error with if else question mark in react.

I am trying to extract information for all the jobs on this website: https://www.americanmobile.com/travel-nursing-jobs/search/

Looking at the network activity tab, it looks like all the data I need comes from a POST request made here: https://jobs.amnhealthcare.com/api/jobs//search. I have attached an image that may help confirm exactly what I am referencing. example_1

I wrote the following code in Google Colab to try to at least get the first 10 results. Referencing python requests POST with header and parameters, I know a lot of the headers may not even be necessary. I have tried sending this request without any headers at all.

Is what I'm trying to do even possible? I have only gotten a 400 response code so far.

If it is possible to accomplish this, is it possible to extract this information for all 4k + jobs?

Here is the result I want to achieve: enter image description here

and here is my code base: