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Performing Common Operations

Visitran offers two powerful approaches to data transformation: the No-Code UI for visual, point-and-click operations, and Formula Columns for Excel-style transformations. This section provides practical guidance on performing common data operations using both methods.

Two Approaches to Transformation

Using the No-Code UI

The No-Code UI provides an intuitive, visual interface for common data operations. Perfect for:

  • Quick transformations without writing formulas
  • Operations that apply to entire tables (joins, sorts, filters)
  • Users who prefer visual tools
  • Exploratory data analysis

Explore No-Code UI Operations →

Using Formula Columns

Formula Columns leverage Excel-compatible formulas for powerful, flexible transformations. Ideal for:

  • Row-level transformations with custom logic
  • Complex calculations and text manipulation
  • Users familiar with Excel formulas
  • Reusable transformation patterns

Explore Formula Column Operations →

Common Operation Categories

Data Organization

  • Joining tables to combine data from multiple sources
  • Sorting and filtering to organize your data
  • Removing duplicates with unique/distinct operations

Column Management

  • Showing and hiding columns
  • Combining multiple columns
  • Adding calculated columns

Data Cleaning

  • Removing extra spaces
  • Standardizing text case
  • Replacing values

Data Validation

  • Checking for blank values
  • Validating data types
  • Conditional logic

Calculations

  • Mathematical operations
  • Aggregations (sum, average, min, max)
  • Date and time calculations

Which Approach to Use?

Operation TypeRecommended Approach
Table-level operations (joins, sorts)No-Code UI
Row-level calculationsFormula Columns
Simple column transformationsEither (your preference)
Complex logic with conditionsFormula Columns
Aggregations across rowsBoth (context-dependent)

Getting Started

Choose the approach that best fits your use case:

Both approaches can be combined within the same model to create powerful, flexible data transformations.