Documentation
  • The Fundamental
  • ACTIVE SYNC
    • Data Ingestion
      • Data Tracking
        • API Key Management
        • Generate Tracking ID
        • Install tracking with Tag Manager
        • Install Tracking from the Console
        • Tracking Method on Website
      • Datasource
        • MySQL
        • PostgreSQL
        • MongoDB
        • Microsoft SQL Server
        • Shopify
        • CSV
        • Google Sheets
    • Data Ingestion API
      • Data Lake
        • File upload
        • Tracking API
      • Data Warehouse
        • Batch upload
        • CSV upload
        • Tracking API
      • Data Schema Warehouse API
    • Data Integrations
      • Manage your API Key
      • Get Data using API
  • ROCKET.BI
    • Introduction
    • Data Warehouse
      • Data Management
      • Ad-hoc Query
        • Measure Schema
        • Calculated Field
      • Query Analysis
      • Relationship
    • Row-level Security
    • Dashboard
      • Dashboard Filter
      • Chart Control
        • Tab Control
        • Single Choice
        • Multiple Choice
        • Dropdown Control
        • Slicer Control
        • Date Control
        • Input Control
      • Manage Dashboard
        • Relationship
        • View and Share
        • Select Main Date Filter
        • Boost
        • Settings
        • Add Chart
        • Add Tab
        • Add Text
    • Chart Builder
      • Chart Types
        • Pie Chart
        • Column Chart
        • Bar Chart
        • Line Chart
        • Line Stock Chart
        • Pareto Chart
        • Bubble Chart
        • Scatter Chart
        • Map Chart
        • Area Chart
        • KPI Chart
        • Lollipop Chart
        • Parliament Chart
        • Funnel Chart
        • Pyramid Chart
        • Gauge Chart
        • Bullet Graph Chart
        • Heat Map Chart
        • Word Cloud Chart
        • Tree Map Chart
        • Stacked Column Chart
        • Stacked Bar Chart
        • Sankey Chart
        • Spider Web Chart
        • Wind Rose Chart
        • Histogram Chart
        • Bell Curve Chart
        • Table Chart
        • Pivot Table Chart
      • Chart Settings
        • Zoom
        • Inner chart filter
      • Chart Filters
        • Tab Filter
        • Single Choice
        • Multiple Choice
        • Dropdown Filter
        • Slicer Filter
        • Date Filter
        • Input Filter
      • Right-click Settings
        • Change date function
        • Drill down
        • Drill through
        • Use as a filter
    • SQL Query
      • Syntax
      • Functions
      • Aggregate Functions
      • Data Types
  • UNLOCK.CI
    • Unlock.CI
Powered by GitBook
On this page
  • 1. What is a Column chart?
  • When to use Column Chart?
  • 2. How to build a Column chart with example
  • 3. Column Chart Config
  1. ROCKET.BI
  2. Chart Builder
  3. Chart Types

Column Chart

Also known as Vertical Bar Chart

PreviousPie ChartNextBar Chart

Last updated 1 year ago

1. What is a Column chart?

A column chart is a bar chart that compares two or more variables with the same unit of measure and is of comparable sizes. In other words, it displays categorical data with rectangular bars whose length or height corresponds to the value of each data point.

When to use Column Chart?

A column chart is the reversed version of a . Besides being used for visualizing purposes like Bar Charts, this type of graph is also ideal for tracking change over time.

2. How to build a Column chart with example

The column chart illustrates revenue trends over time, offering a clear visual depiction of how revenue has fluctuated or evolved across different periods.

  1. Click Click here to add your first chart

  2. In the menu, select Column to create a column chart

3. Column Chart Config

  1. Choose the table containing the data you use to create, then it will show you the list of fields included in the table

  2. Drag/drop or select the X-Axis value

  3. Drag/drop or select the Y-Axis value

  4. Drag/drop or select the Legend properties (optional)

  5. Drag/drop or select the Sorting field to sort out the data in the chart (optional)

  6. Drag/drop or select the Filters field to emphasize a specific data (optional)

  7. You can see the visualization of your chart on the left side and select Settings to change the element’s settings

  • TITLE & SUBTITLE

You can change the title of the chart, choose the font, color and size of the name. You can also add the subtitle and change its format.

  • DISPLAY

Legend field contains the sub-categories that split each column into multiple columns corresponding to the categories. Each column still represents the same measure. You can change its display name or type (column, line, area, lollipop).

  • LEGEND

You can change the legend position (top, bottom, middle), input the name, choose the font, color and size of the name.

  • X AXIS

When you turn on the X Axis, you can input the Prefix, Postfix and change their format. X Axix title can also be added and change format too.

  • Y AXIS

When you turn on the X Axis, you can input the Prefix, Postfix and change their format. X Axix title can also be added and change format too. If you turn on Gridlines, you can change the size and the display of the Gridlines (solid, dash, dot,...).

  • DATA COLOR

Data color can be set auto or you can choose your favorite colors.

  • DATA LABEL

If you turn the label on, you can choose its style to perform (percent, value, raw), choose the font, color and size of the label and its position.

  • BACKGROUND

You can change the background color of the chart.

  • TOOLTIP

When you hover over a column of the chart, a text box appears to display information about the data of that column. You can change the text color, font, and background.

  • OTHER

Change the display unit, precision, and other functions

8. After building the chart visualization, click Add to create your chart.

9. Your chart will show up along with actions like sharing, editing, etc.

We hope that the above instructions will be useful to you. Let's have a look at our other articles to learn more about using other charts in data visualization with Rocket.BI.

Bar Chart