Monarch (2025)

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.

Create complex filters using expressions.

Export the finished data to Excel, CSV, or BI tools. Common Data Transformation Features Monarch

Match keys that are similar rather than identical (e.g., matching "Connecticut" and "Conecticut").

Remove sensitive information like customer IDs or financial data. Based on your request, it seems you are

Here are the key steps to prepare data/features in Altair Monarch: Key Data Prep Steps in Altair Monarch

Select your source file, such as a PDF, text file, or database. Export the finished data to Excel, CSV, or BI tools

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