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Data Operations Center

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Engine: Pandas
Quick Operations
Data Operations
Rename Columns
Map to standard names

Standardize column names for better compatibility with analytics tools.

Cast Data Types
Change column data types

Convert columns to appropriate data types (string, integer, float, date, boolean).

Map Enums
Standardize categorical values

Map categorical values to standardized codes (e.g., "Single Family" → "SF"). Advanced mapping interface with AI suggestions and bulk operations.

Open Enum Mapping
Opens in new page for advanced mapping
Standardize Dates
Convert to YYYYMMDD format

Convert various date formats to standardized YYYYMMDD format.

Format Numbers
Commas, decimals, formatting

Format numbers with commas, decimal places, and currency symbols.

Scale Numbers
Multiply, divide, or math operations

Apply mathematical operations to scale numerical columns.

Create TAPE Columns
Generate standardized code versions

Create standardized TAPE code versions of categorical columns.

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