HEAVY.AI Docs
v8.1.0
v8.1.0
  • Welcome to HEAVY.AI Documentation
  • Overview
    • Overview
    • Release Notes
  • Installation and Configuration
    • System Requirements
      • Hardware Reference
      • Software Requirements
      • Licensing
    • Installation
      • Free Version
      • Installing on Docker
        • HEAVY.AI Installation using Docker on Ubuntu
      • Installing on Ubuntu
        • HEAVY.AI Installation on Ubuntu
        • Install NVIDIA Drivers and Vulkan on Ubuntu
      • Installing on Rocky Linux / RHEL
        • HEAVY.AI Installation on RHEL
        • Install NVIDIA Drivers and Vulkan on Rocky Linux and RHEL
      • Getting Started on AWS
      • Getting Started on GCP
      • Getting Started on Azure
      • Getting Started on Kubernetes (BETA)
      • Upgrading
        • Upgrading HEAVY.AI
        • Upgrading from Omnisci to HEAVY.AI 6.0
        • CUDA Compatibility Drivers
      • Uninstalling
      • Ports
    • Services and Utilities
      • Using Services
      • Using Utilities
    • Executor Resource Manager
    • Configuration Parameters
      • Overview
      • Configuration Parameters for HeavyDB
      • Configuration Parameters for HEAVY.AI Web Server
      • Configuration Parameters for HeavyIQ
    • Security
      • Roles and Privileges
        • Column-Level Security
      • Connecting Using SAML
      • Implementing a Secure Binary Interface
      • Encrypted Credentials in Custom Applications
      • LDAP Integration
    • Distributed Configuration
  • Loading and Exporting Data
    • Supported Data Sources
      • Kafka
      • Using HeavyImmerse Data Manager
      • Importing Geospatial Data
    • Command Line
      • Loading Data with SQL
      • Exporting Data
  • SQL
    • Data Definition (DDL)
      • Datatypes
      • Users and Databases
      • Tables
      • System Tables
      • Views
      • Policies
      • Comment
    • Data Manipulation (DML)
      • SQL Capabilities
        • ALTER SESSION SET
        • ALTER SYSTEM CLEAR
        • DELETE
        • EXPLAIN
        • INSERT
        • KILL QUERY
        • LIKELY/UNLIKELY
        • SELECT
        • SHOW
        • UPDATE
        • Arrays
        • Logical Operators and Conditional and Subquery Expressions
        • Table Expression and Join Support
        • Type Casts
      • Geospatial Capabilities
        • Uber H3 Hexagonal Modeling
      • Functions and Operators
      • System Table Functions
        • generate_random_strings
        • generate_series
        • tf_compute_dwell_times
        • tf_feature_self_similarity
        • tf_feature_similarity
        • tf_geo_rasterize
        • tf_geo_rasterize_slope
        • tf_graph_shortest_path
        • tf_graph_shortest_paths_distances
        • tf_load_point_cloud
        • tf_mandelbrot*
        • tf_point_cloud_metadata
        • tf_raster_contour_lines; tf_raster_contour_polygons
        • tf_raster_graph_shortest_slope_weighted_path
        • tf_rf_prop_max_signal (Directional Antennas)
        • ts_rf_prop_max_signal (Isotropic Antennas)
        • tf_rf_prop
      • Window Functions
      • Reserved Words
      • SQL Extensions
      • HeavyIQ LLM_TRANSFORM
  • HeavyImmerse
    • Introduction to HeavyImmerse
    • Admin Portal
    • Control Panel
    • Working with Dashboards
      • Dashboard List
      • Creating a Dashboard
      • Configuring a Dashboard
      • Duplicating and Sharing Dashboards
    • Measures and Dimensions
    • Using Parameters
    • Using Filters
    • Using Cross-link
    • Chart Animation
    • Multilayer Charts
    • SQL Editor
    • Customization
    • Joins (Beta)
    • Chart Types
      • Overview
      • 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
      • Bar
      • Combo - Original
      • Histogram
      • Line
      • Stacked Bar
    • HeavyIQ SQL Notebook
  • HEAVYIQ Conversational Analytics
    • HeavyIQ Overview
      • HeavyIQ Guidance
  • 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
      • Linear Regression
      • Random Forest Regression
      • Decision Tree Regression
      • Gradient Boosting Tree Regression
    • Principal Components Analysis
  • Python / Data Science
    • Data Science Foundation
    • JupyterLab Installation and Configuration
    • Using HEAVY.AI with JupyterLab
    • Python User-Defined Functions (UDFs) with the Remote Backend Compiler (RBC)
      • Installation
      • Registering and Using a Function
      • User-Defined Table Functions
      • RBC UDF/UDTF Example Notebooks
      • General UDF/UDTF Tutorial Notebooks
      • RBC API Reference
    • Ibis
    • Interactive Data Exploration with Altair
    • Additional Examples
      • Forecasting with HEAVY.AI and Prophet
  • APIs and Interfaces
    • Overview
    • heavysql
    • Thrift
    • JDBC
    • ODBC
    • Vega
      • Vega Tutorials
        • Vega at a Glance
        • Getting Started with Vega
        • Getting More from Your Data
        • Creating More Advanced Charts
        • Using Polys Marks Type
        • Vega Accumulator
        • Using Transform Aggregation
        • Improving Rendering with SQL Extensions
      • Vega Reference Overview
        • data Property
        • projections Property
        • scales Property
        • marks Property
      • Migration
        • Migrating Vega Code to Dynamic Poly Rendering
      • Try 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
    • FAQs
    • Troubleshooting
    • Vulkan Renderer
    • Optimizing
    • Known Issues and Limitations
    • Logs and Monitoring
    • Archived Release Notes
      • Release 6.x
      • Release 5.x
      • Release 4.x
      • Release 3.x
Powered by GitBook
On this page
  • Example: Opacity with Multilayer Charts
  • Example: Zoom Level with Multilayer Charts
Export as PDF
  1. HeavyImmerse

Multilayer Charts

PreviousChart AnimationNextSQL Editor

Last updated 11 months ago

You can superimpose multiple Pointmap, Linemap, Choropleth, and Geo Heatmap charts on one another to look for correlations between datasets.

To create a multilayer chart:

  1. Create one of the charts that support multilayer.

  2. Click the Add Layer tab.

  3. Create another multilayer-compatible chart in the new layer.

  4. Click the Master tab.

  5. Adjust the Opacity and the Zoom level of the chart layers using the sliders on the right.

You can change the order of the layers by dragging the contents of a layer field on top of another layer field.

A single chart can have up to eight layers, depending on your server memory and processing capacity.

Example: Opacity with Multilayer Charts

Create a new Pointmap. For the Data Source, use the official database of .

Set the Lon measure to longitude and Lat measure to latitude. Set the Size measure to duration_seconds. Set the Color measure to shape.

Click the Add Layer tab, and create a Geo Heatmap. Set the data source to the flights_2008_7M database. Set Lon to dest_lon and Lat to dest_lat. Set the Color measure to AVG depdelay.

The resulting chart compares a Geo Heatmap of flight departure delays to a Pointmap of UFO sightings.

Click the Master tab, and reduce the opacity of the UFOs Sighted chart to enhance the visibility of the flights_2008_7M delay information.

Clearly, some flights have been delayed where UFOs have been sighted, making it impossible to make a definitive statement that there is no correlation between the two datasets. Spooky.

Example: Zoom Level with Multilayer Charts

You can configure the visibility of a layer based on zoom level.

This chart has two layers: a Pointmap based on tweets and a Choropleth based on 14 states defined by name, with the rest defined as Other. Currently, the chart is zoomed to level 5.

You determine that when you zoom to level 2, you no longer want to see the states layer, so you adjust the sliders to reflect this.

UFO sightings