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
Export as PDF
  1. HeavyImmerse
  2. Deprecated Charts

Stacked Bar

Stacked Bar Chart

PreviousLineNextHeavyIQ SQL Notebook

Last updated 11 months ago

Stacked bar charts display values for one or two dimensions, one of which must be defined on the x-axis. Measures are displayed as the height and color of the bar for each dimension group. With stacked bar charts, you can display multiple measure/dimension combinations on each bar. This makes it easy to visually compare measures for the defined dimensions, as well as see the cumulative value for the defined measure.

Features

Quantity

Notes

1-2

String values for X axis (required) and color (optional). Standard deviation (stdev) does not work when using the color dimension.

1

You can convert Stacked Bar charts to the New Combo chart format. For more information, see .

Stacked Bar Chart Examples

The following examples use the flights_2008_7M sample database.

Stacked Bar charts use two dimensions (X axis and color) and one measure.

  1. Create a new Stacked Bar chart.

  2. Choose flights as the Data Source.

  3. For Dimensions, select destination state for X Axis and origin state for Color. To remove the null dimension on the X Axis, toggle Null Dimensions to off. Note:

    • If you omit the Color dimension, you create a single-color vertical bar chart.

    • When you use the Color dimension, Immerse selects the top five categories for the dimension and measure. When the All others toggle is on, all categories not in the top five are shown as Other.

  4. For Measures, select the sum of airtime.

  5. Sort by descending airtime, and define the colors for origin states. Note: You can enable and disable All Others Color Palette, but you cannot add or remove categories.

This creates a chart like the following, showing the cumulative airtime for flights, based on origin state and destination state. The origin state airtimes are stacked on the same bar, making it easy to see total airtime by destination as well as total destination airtime by individual origin.

Now, adjust the chart dimensions and measures to see information about cancelled flights for particular origination cities for individual airlines.

1) For Dimensions, select origin city for X Axis and select carrier name for Color.

2) For Measures, select the sum of cancelled flights.

This creates a chart that shows the total cancelled flights for particular origin cities, broken out by air carrier.

If you prefer, you can set the Percentage View toggle to compare relative values within a dimension and side-by-side.

You can reduce the number of cities on the X Axis by sliding the # of Groups down (15 in the next example), and show the value for all other airlines by toggling All Others to On in the Color Palette:

In some cases, if you disable All Others from the color menu, the # of Groups does not match what is shown on the x axis. For example, in the following chart, the number of X axis items for dest_state is five, but the # of Groups is set to 6.

This occurs because the query that is returned has "undefined" for "key1" values, and these values are filtered out by Immerse. When the All Others toggle is enabled, these values are referred to as "other" instead and are grouped together, making the number of values on the X axis match the number defined in # of Groups.

Required

New Combo charts
Dimensions
Measures