Cross-Tab | cross tab communication library made to enable multi | Notification library

I have a cross-tab (dataframe format), from which I have calculated the chi-sq standardized residuals. Below I provide the two reproducible datasets.

Cross-tab:

I'm doing cross-tabulation between two columns in the dataframe. Here's a sample from the columns:

I was trying to modularize the shiny app proposed in this stack overflow question shiny: better way to create tables in loop across tab panels. Here below is the modularized reprex code (different from the original one in the linked post, but share the same structure). However, the output is empty. I couldn't figure out what's the issue here, I suspect that might have something to do with the id in the dynamic UI renderUI part, where both output[[id]] = renderDataTable() and DataTableOutput(id) occur (normally render* function appears in the server, while *Output appears in the UI.).

I understand that when use shiny modules, we have to use NS(id, 'name') for output element in UI. Here it seems like we cannot do the same, i.e. output[[NS(id, 'name')]], in the server dynamic UI. I am not sure if this could be the issue.

I appreciate if there is any suggestions. Thanks.

I am working with a pandas dataframe and using the following crosstab formula to tabulate results:

Background

Here's a dataframe d:

I am trying to create a function that cross-tabulates whether the missing/absent values in two variables overlap.

The function takes two variables and the dataset. It looks like this:

I have data that I want to display similar to a cross-tab query but not quite. The data I have looks like this with each segment of data on a different row:

I want the data to be consolidated to be all on one row for each client, like this:

I've attempted this with a cross-tab query but I'm not wanting to total any of the fields and there are several data point for each product (Type, Name, PurchaseDate, etc).

Any help is greatly appreciated!

I have the following dataset and I want to compute all possible combinations of cross-tabulations in the most efficient way, I have been able to calculate pairs against one master variable, but not for all possibilities (i have popped what i mean in below). Is there a way to get this all in loop that could handle any number of columns? Thanks so much!

data

I want to make some nice tables with a multi-level index (cross-tabulated across multiple variables). With the data below, the indexes for place, band and status are rather large and in charge if i print it with pandas style function. Is there a way to change the size/colour/font of multi-level titles? many thanks in advance