Data Formulator differs from traditional single-function tools by providing an end-to-end data processing solution. This complete workflow consists of three key components that form a closed-loop system for data processing.
1. Data access phase: the tool supports data import from a variety of sources, including: CSV/Excel files, database connections, API interfaces, especially innovative is to support the direct analysis of pictures or PDF in the form of data.
2. Data cleansing session: The built-in AI data cleansing function can automatically complete: missing value processing, outlier detection, format standardization, duplicate data merging and other common data sorting work. The system will intelligently suggest cleaning solutions, while keeping a complete operation log.
3. Visualization design phase: providing three types of authoring models
- Wizard mode: step-by-step guide to complete visualization
- Code mode: support Python script customization
- Natural Language Patterns: the aforementioned NLP interactions
In addition, the tool integrates version control functionality that allows users to go back and compare data transformations and visualizations at different stages, a feature that is particularly suited to exploratory data analysis projects that require repeated iterations.
This answer comes from the articleData Formulator: an AI-driven data visualization toolThe
