For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
  • Welcome
    • Overview
    • Release Notes
  • Installation and Configuration
    • System Requirements
    • Installation
    • Services and Utilities
    • Executor Resource Manager
    • Configuration Parameters
    • Security
    • Distributed Configuration
  • Loading and Exporting Data
    • Supported Data Sources
    • Command Line
  • SQL
    • Data Definition (DDL)
    • Data Manipulation (DML)
  • HeavyImmerse
    • Introduction to HeavyImmerse
    • Admin Portal
    • Control Panel
    • Working with Dashboards
    • Measures and Dimensions
    • Using Parameters
    • Using Filters
    • Using Cross-link
    • Color Consistency
    • Chart Animation
    • Multilayer Charts
    • SQL Editor
    • Customization
    • Joins (Beta)
    • Chart Types
      • Box/Whisker and Violin Plots
      • Bubble
      • Choropleth
      • Combo
      • Contour
      • Cross-Section
      • Gauge
      • Geo Heatmap
      • Heatmap
      • Linemap
      • Number
      • Pie
      • Pointmap
      • Scatter Plot
      • Skew-T
      • Table
      • Text Widget
      • Wind Barb
    • Deprecated Charts
    • HeavyIQ SQL Notebook
  • HeavyIQ Conversational Analytics
    • HeavyIQ Overview
    • HeavyIQ Model Overview (HeavyLM)
  • HeavyRF
    • Introduction to HeavyRF
    • Getting Started
    • HeavyRF Table Functions
  • HeavyConnect
    • HeavyConnect Release Overview
    • Getting Started
    • Best Practices
    • Examples
    • Command Reference
    • Parquet Data Wrapper Reference
    • ODBC Data Wrapper Reference
    • Raster Data Wrapper Reference
  • HeavyML (BETA)
    • HeavyML Overview
    • Clustering Algorithms
    • Regression Algorithms
    • Principal Components Analysis
  • Python / Data Science
    • Data Science Foundation
    • JupyterLab Installation and Configuration
    • Using HEAVY.AI with JupyterLab
    • Python User-Defined Functions (UDFs) with RBC
    • Ibis
    • Interactive Data Exploration with Altair
    • Additional Examples
  • APIs and Interfaces
    • heavysql
    • Thrift
    • JDBC
    • ODBC
    • Vega
    • RJDBC
    • SQuirreL SQL
    • heavyai-connector
  • Tutorials and Demos
    • Loading Data
    • Using Heavy Immerse
    • Hello World
    • Creating a Kafka Streaming Application
    • Getting Started with Open Source
    • Try Vega
  • Troubleshooting and Special Topics
    • Vulkan Renderer
    • Optimizing
    • Known Issues and Limitations
    • Logs and Monitoring
    • Archived Release Notes
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  • Selecting a Chart Type
HeavyImmerse

Overview

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HeavyImmerse lets you visualize your data in the format that provides the clearest insight. Charts range from basic to complex, from aggregate to detail level. You can combine your charts together into dashboards to explore your data in different contexts.

Selecting a Chart Type

You can choose the chart type by toggling among the chart icons at the top of the chart editing screen. If you have already chosen dimensions and measures for a chart, Immerse indicates which other chart types are also capable of displaying that data by highlighting the chart icons in green.

Some charts require certain types of dimensions/measures and disallow others. As you switch between charts, you might see dimensions or measures become deactivated (greyed out) if they are not appropriate for that chart type. Deactivated fields are discarded when you save a chart.

The POINT data type is available only in Pointmap and Geo Heatmap charts.

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Joins (Beta)

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Box/Whisker and Violin Plots