Join multiple dataset

[Prathameshk2024]

• Automatically joins multiple datasets (data frames or CSV files) into one unified table
• Detects and uses common column names across datasets as join keys
• Performs inner joins sequentially to keep only matching rows from all datasets
• Supports both in-memory data frames and CSV file paths as inputs
• Handles missing values gracefully by replacing them with empty strings
• Skips invalid or empty datasets to ensure smooth execution
• Uses dplyr and purrr for fast, readable, and production-grade joins
• Ensures schema consistency across merged data
• Ideal for data preprocessing, ETL pipelines, and multi-source data integration
• Time complexity: O(N × J), where N = number of datasets and J = average join cost per dataset
• Tested for clean merging across varying column structures and data types

[Prathameshk2024]

@siriak

[Copilot]

Pull Request Overview

This pull request adds several new algorithm implementations including graph coloring, Dinic's maximum flow, bidirectional BFS, Viterbi algorithm, wildcard pattern matching, OPTICS clustering, and a data manipulation utility. However, the PR title and description describe only the "join multiple datasets" functionality, which is misaligned with the actual changes.

Key changes:

• Multiple new algorithms in graph_algorithms/, dynamic_programming/, clustering_algorithms/, and data_manipulation/ directories
• Implementation of advanced algorithms including graph coloring (backtracking, greedy, Welsh-Powell), Dinic's max flow, bidirectional BFS, and OPTICS clustering
• Addition of a utility file that appears to be a git log output

Reviewed Changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
graph_algorithms/graph_coloring.r	Implements graph coloring algorithms using backtracking, greedy, and Welsh-Powell approaches
graph_algorithms/dinics_max_flow.r	Implements Dinic's maximum flow algorithm for flow networks
graph_algorithms/bidirectional_bfs.r	Contains bidirectional BFS implementation with incomplete code at the end
dynamic_programming/wildcard_pattern_matching.r	Implements wildcard pattern matching using dynamic programming
dynamic_programming/viterbi.r	Implements Viterbi algorithm for Hidden Markov Models
data_manipulation/join_multiple_datasets.r	Provides dataset joining functionality (matches PR description)
clustering_algorithms/optics.r	Implements OPTICS density-based clustering algorithm
et --soft HEAD~1	Git log output that should not be in the repository

Comments suppressed due to low confidence (1)

et --soft HEAD~1:1

• This file appears to be a git log output and should not be committed to the repository. Remove this file from the PR.

�[33mcommit 7d4b7af52036b21abf54435f14250ef170351389�[m�[33m (�[m�[1;36mHEAD�[m�[33m -> �[m�[1;32mGraph_colouring�[m�[33m)�[m

[Copilot]

Pull Request Overview

Copilot reviewed 7 out of 7 changed files in this pull request and generated 1 comment.

[siriak]

‎data_manipulation/join_multiple_datasets.r‎ is not a well-known algorithm, we don't add examples of usage of libraries