Mastering Pivot Tables: Grouping by Various Columns and Rows Using Pandas

Creating Multiple Dataframes Using List Comprehension in R for Efficient Data Manipulation

How to Clean Data by Adding/Removing Characters from a String Based on Conditions in T-SQL

Creating a Pandas DataFrame from a NumPy 4D Array with One-to-One Relationship to Trade Data Visualization

Splitting Single-Columned CSV Files into Multiple Columns Using Pandas

Merging Two Datasets with Non-Standard Last Name Format Using R

Using Value Counts and Boolean Indexing for Data Manipulation in Pandas

Counting Leading NaN Values in Original Columns and Non-NaN Values in Extra Columns with Pandas DataFrames