Visualization
Overview
ZinkML provides comprehensive visualization capabilities for data analysis and exploration within the Graph Dataflow Studio. This guide explains how to access and utilize visualization features for both input and output tables.
Table of Contents
Accessing Visualization
Prerequisites
- Open Graph Dataflow Studio
- Load required table into dataflow
- Execute dataflow successfully
Access Points
Each node on the canvas provides visualization access to:
- Input tables (data entering the node)
- Output tables (processed data from the node)
Table Visualization
For a visual guide on the visualization in 'Table Format', please watch our step-by-step tutorial:
Features
- Raw data view
- Column statistics
- Data sampling
- Sorting capabilities
- Filter options
- Fuzzy filter
- Expressions filter
- Regex Operations filter
- Search functionality
Steps to Access
- Select node on canvas
- Click visualization icon
- Choose "Table View"
- Select input or output table
Plot Visualization
For a visual guide on the visualization in 'Plots Format', please watch our step-by-step tutorial:
Features
- Data distribution plot
- Numerical vs Numerical plots
- Categorical vs Numerical plots
- Categorical / Numerical histogram and grouping plots
- Convert charts to all types - scatter, linear, column, etc.
- Correlation analysis
- Time series visualization
- Custom plot options
Steps to Access
- Select node on canvas
- Click visualization icon
- Choose "Plots View"
- Select visualization type
Node-specific Visualization
Input Tables
- View source data
- Verify data quality
- Check data format
- Analyze incoming data patterns
Output Tables
- Examine processed results
- Validate transformations
- Monitor data changes
- Assess node performance
Best Practices
- Regular data validation
- Systematic visualization checks
- Performance monitoring
- Documentation of insights