Data Cleaning & Analysis

Before you can analyze data, you often spend 80% of your time cleaning it. Claude Cowork can handle the cleaning steps and initial analysis.

Capabilities

• Outlier Detection: Ask Claude to "Analyze this dataset for statistical outliers."
• Normalization: "Standardize the date formats in this column to ISO 8601."
• Merge: "Combine these three CSV files based on the 'User ID' column."

Example

"I have a CSV of sales data. Clean functionality inconsistencies in the 'Region' column, then generate a chart showing sales by region."

Claude can write Python code (via its internal tools) to process the data and output a clean file or a chart image.