Note: If you were referring to "Monarch" as a painting brand (e.g., creating a painted feature wall) or a coding feature-flag system (GitHub), please specify, as those represent different functionalities. To make this guide more useful, are you focusing on: (Data Prep Studio)? Using formulas to create new columns ? Combining multiple data sources ? Let me know which step you'd like to dive deeper into. Self-service Data Preparation Solution | Altair Monarch
Remove sensitive information like customer IDs or financial data.
Here are the key steps to prepare data/features in Altair Monarch: Key Data Prep Steps in Altair Monarch
Aggregate data to create summaries, charts, or pivot tables.
Create complex filters using expressions.
Create traps to tell Monarch how to identify data in reports.
Based on your request, it seems you are referring to the self-service data preparation solution. Preparing a feature or data set involves transforming messy, unstructured data (like PDFs or text files) into structured rows and columns, typically for further analysis.
Select your source file, such as a PDF, text file, or database.