data_merge_join
OfficialMerge multiple structured data files with precision and ease.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for merging multiple structured data files into a single dataset efficiently.
Core Features & Use Cases
- Multiple File Merging: Seamlessly merge two or more CSV, TSV, Excel, or SPSS files based on a specified key.
- Flexible Join Options: Supports inner, left, right, and outer join types to suit various data integration needs.
- Use Case: If you need to combine employee and department data into a comprehensive overview, this Skill can facilitate that by joining on a shared key, such as employee ID.
Quick Start
Run the data_merge_join skill with the command: python scripts/run_data_merge_join.py --input_files "employees.csv,departments.csv" --output "merged_data.csv" --join_key "employee_id" --join_how "inner".
Dependency Matrix
Required Modules
pandasdask[excel]
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data_merge_join Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#data-merge-join Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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