CSV Column Mapper
Working with CSV files can feel like trying to organize a messy closet—columns with cryptic names, inconsistent formatting, and no clear structure. But what if you could rename and reorganize those columns in seconds? The CSV Column Mapper is your digital decluttering assistant, designed to make your data clean, clear, and ready for action. Whether you're analyzing sales data, managing inventory, or prepping reports, this tool simplifies the process with a few clicks. Say goodbye to spreadsheet headaches and hello to a smoother workflow!
Upload a CSV file, rename columns, and download the updated file.
| Original Column Name | New Column Name |
|---|
How It Works
The CSV Column Mapper follows a straightforward process to help you rename and organize your CSV columns:
- Upload Your CSV: Drag and drop or select your CSV file. The tool reads the file and extracts the column headers.
- Rename Columns: A table appears with the original column names. Simply type in the new names you'd like to use.
- Download Your File: Once you're happy with the new column names, click "Download Updated CSV" to save your file with the changes.
It’s like giving your data a fresh start without the hassle of manual editing!
Example Use Cases
| Original Column Name | New Column Name |
|---|---|
| order_id | Order Number |
| cust_name | Customer Name |
| prod_qty | Product Quantity |
| trans_date | Transaction Date |
| total_amt | Total Amount |
10 Common Use Cases for the CSV Column Mapper
- Data Analysis: Rename columns to make them more intuitive for analysis in tools like Excel or Python.
- Reporting: Standardize column names for consistent reporting across teams.
- Database Import: Prepare CSV files for database uploads by renaming columns to match table fields.
- Inventory Management: Update column names to reflect product details, quantities, or locations.
- Customer Data: Simplify CRM imports by renaming columns to match software requirements.
- Financial Records: Organize transaction data with clear, descriptive column names.
- Survey Data: Rename survey response columns for easier interpretation and analysis.
- E-commerce: Clean up order and product data for better tracking and insights.
- Marketing Campaigns: Standardize campaign performance data for better reporting.
- Academic Research: Rename variables in datasets to align with research objectives.