Working with DataFrames in R: Creating New Variables Using For Loops Over Multiple DataFrames

Converting Uneven Lists to DataFrames in R: A Deep Dive into the Tidyverse Solution

Counting NAs Between First and Last Occurred Numbers in Each Column

Here's a summary of the provided information and some additional examples to demonstrate the usage of the `melt()` function in R:

How to Fix Error Message “>’ Not Meaningful for Factors” in R Using Data Frames

Reshaping Wide Format Data Using R and data.table Package

How to Calculate Sums, Standard Deviations, and Averages in R for Subtotals

How to Populate Third Columns in Pandas Dataframes Based on Conditional Values from Two Other Columns

Understanding Dataframe Comparisons in R: An In-Depth Guide

Handling Missing Data in R: A Deep Dive into `na.omit` and Dataframe Subsetting