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Replace values from a column based on the following rule: t0345_0400_d2 = 03:45, or to keep only the first part of the value in time format. How can I do this?

Data structure:

Output:

Sample data:

I am doing this graph with this code

I need to modify the below code to work on more than one column.

Counting the number of unique values based on two columns in bash

I have this code which prints multiple tables

I'm trying to implement a Select component using reactjs material ui and typescript.

However, I am getting the following typing error:

I have a dataset with various "chunks" of columns with different prefixes, but the same suffix:

The number of columns within each "chunk" also varies. Is there any way (other than manually, which is what I have been painstakingly doing with coalesce(!!! select(., contains("XXX")))) to automatically coalesce by chunk based on the shared suffix? That is, the result should resemble

I'm not sure how to begin doing something like this, so any suggestions would be very helpful.

I tried to sort the column by the name_underline_number - using arrange(). It didn't work.

What's the best way to do this in dplyr()?

I have a data list with a subject column and a size column like the sample data below. For each subject, I need to divide every value in the size column by the largest value so that the range between size values will be 0 - 1.

Take the sample data below as example, I need to divide every size value for subject 1 by 9 and divide every size value for subject by 8.

As there are a lot of subjects in my real data, is there any approach that I can do this for each subject automatically?

I have a list (dput() below) that has 4 datasets.I also have a variable called 'u' with 4 characters. I have made a video here which explains what I want and a spreadsheet is here.

The spreadsheet is not exactly how my data looks like but i am using it just as an example. My original list has 4 datasets but the spreadsheet has 3 datasets.

Essentially i have some characters(A,B,C,D) and i want to find the proportions of times each character occurs in each column of 3 groups of datasets.(Check video, its hard to explain by typing it out)