Provincial | A kingdom-adaptive AI for Dominion | Artificial Intelligence library

Im trying to convert my static product configurator into a dynamic one using the MERN stack, and I am really close to being done with the test version finally! I have everything working, but I am having trouble making it even more dynamic. In my configurator here for example, I have the ability to change colors through a list of hard coded buttons that trigger an event. This gets tedious with the amount of products that I will be trying to deploy to our website, and some products are only available in one, two, or three materials. I have successfully uploaded an array to MongoDB and is structured like so:

So my main question is, how would I go about generating a list of buttons that are nested inside of an accordion like in my example above, while each "section" of the accordion would have the correlating name of that material selection.

Here is my hardcoded snipit of the HTML as well as some of the functions I have currently:

I would like to get the provincial or territorial capital city in Canada with the names of the provinces.

I am trying to use fetch to get information from an api, the information that the api generates is the following:

I already did some search on some questions here on stack overflow and tested some solutions mentioned but it did not fix my problem. I'm new in coding.

I also did some research online but haven't found answers that fixed my problem.

-FIRST PROBLEM SOLVED-
-NEW PROBLEM DESCRIBED BELOW-

Edit: Dropdown menu positioning fixed, it is now on vertical. But the new problem is dropdown menu items quickly disappears before I hover on it. And it seems my login form was not attached inside the nav. Please check if the is a conflict or problem with my css and code. Can't fix it

Here is my code:

So I have one data frame with multiple columns, a good chunk of those columns are dichotomous variables of whether each case belongs to a certain group, said columns are the result of running %in% to turn them into a logical test and then codded into 0s and 1s. I ended up with only one of those columns with 1 per row, now I want create a category based on whether the row has a 1 or not. Why's my code not working (or very slow, it just seems stuck).

I have some concatenated selects that work fine. By the way, I would like to convert those selects into slim selects but I found some difficulties in doing that. For example, I have a select with ID level_incarico. When I select an option of level_incarico greater than zero other selects should appear. After that, when I change an option of a concatenated select for example in select_nazione, the option change correctly. But when I select another time the option zero in level_incarico and the I select another time an option greater than zero in level_incarico appears another time the select select_nazione with the option already selected previously.

This is my javascript code:

I am working on this codes, but can't make it work.

Here is my working code:

I am starting to become familiar with leaflet in R although I am experiencing some issues. Data works properly when I am plotting the map with ggplot2. However, I was asked to switch to a more dynamic and interactive map for a shiny dashboard. Here I report the code I performed with the image of the 'grey' results I obtained. I am plotting some Italian provincial data. I retrieved the shape file from the website of the Italian Institute of Statistics (2020, versione generalizzata). Nonetheless, I have uploaded the dataframe and the shape file also on GitHub.

What is the recommended way of rendering a Vega-lite spec inside of Google Colab?

This post describes how to do this with Vega but not Vega-lite.

I've also tried this as suggested on Slack