Yo, messy CSVs are the worst! Here’s my hack:
1. Open the file in VS Code (it highlights syntax errors).
2. Use `csv.Sniffer()` in Python to detect dialect (delimiters, quotes, etc.).
3. For big files, `modin` speeds up pandas like crazy.
Free tool? `OpenRefine`—it’s like Excel but for cleaning dirty data.
Biggest mistake? Not logging errors. Always wrap your parse data code in try-except blocks!
1. Open the file in VS Code (it highlights syntax errors).
2. Use `csv.Sniffer()` in Python to detect dialect (delimiters, quotes, etc.).
3. For big files, `modin` speeds up pandas like crazy.
Free tool? `OpenRefine`—it’s like Excel but for cleaning dirty data.
Biggest mistake? Not logging errors. Always wrap your parse data code in try-except blocks!
