Count
count.co
  • Getting Started
    • What is Count?
    • Count FAQ
    • Intro to your workspace
    • Example canvases
    • Getting started guides
      • Set up your workspace and projects
        • 1. Review workspace settings
        • 2. Create and organise your projects
      • Canvas orientation
      • Your first ad hoc analysis
        • 1. Examples and templates
        • 2. Build your first queries
        • 3. Create visuals
        • 4. Caching, local cells and scheduling
        • 5. Collaborating with a stakeholder
      • Your first report
        • 1. Examples and templates
        • 2. Filters and control cells
        • 3. Sharing your report
        • 4. Alerts
  • Connect your data
    • Database connection overview
      • Athena
      • Azure Synapse
      • BigQuery
      • Databricks
      • Microsoft SQL Server
      • MySQL
      • PostgreSQL
      • Redshift
      • Snowflake
    • Refresh database schema
    • Upload CSV files
    • dbt integration
      • ☁️dbt Cloud integration
      • 👩‍💻dbt Core integration
  • Import & Export
    • Import from other tools
      • Import Miro files
      • Import SQL files
      • Import Google Sheets
      • Import Jupyter notebooks
    • Export code and results
      • Export compiled SQL and Jinja-SQL
      • Export CSV files
      • Export images and PDF files
  • THE CANVAS
    • Navigating the canvas
      • Canvas tool bar
      • Data sidebar
      • Customizing the canvas
    • Canvas objects
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    • Alerts and subscriptions
      • Slack integration
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  • Querying data
    • Cells overview
      • Dynamic query compilation engine
    • SQL cells
      • Referencing other cells
      • Jinja templating
      • SQL formatting
    • Python cells
    • Visual and low-code cells
      • Calculations in visuals and low-code cells
      • Joins in visuals and low-code cells
    • Control cells
      • Single and multiple selects
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    • Local DuckDB cells
      • DuckDB on the server
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    • Troubleshooting
  • Visualizing data
    • Visualization overview
    • Templated visuals
    • Custom visuals
      • Marks
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      • Style
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    • Formatting a visual
      • Axes
        • Secondary Axis
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      • Legends
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    • Dynamic text
    • Every Visual Under the Sun
  • Presenting and Reporting
    • Reports and Slides
  • Count Metrics
    • Intro to Count Metrics
    • Build and edit a catalog
    • Views
      • Creating views
      • Customizing views
    • Datasets
      • Creating datasets
    • Save changes to the catalog
      • Catalog validation
      • Version control
    • Exposing catalogs to the workspace
    • Caching in Count Metrics
    • Using the catalog
      • Explore from cell
  • Sharing and Permissions
    • Real-time collaboration
    • Comments
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    • Shared links
    • Embedding canvases
  • History and Versions
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  • Settings and administration
    • Workspace settings
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  • Quick guides
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      • Date ranges
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On this page
  • Discrete vs Continuous Axis
  • Axis formatting
  • Axis spacing
  • Rotate axis labels
  • Hiding/Unhiding an axis
  1. Visualizing data
  2. Formatting a visual

Axes

By default the axis will be set to 'continuous' on a linear scale with rounded limits. This guide will show you how to change these settings in Count.

PreviousFormatting a visualNextSecondary Axis

Last updated 6 months ago

Discrete vs Continuous Axis

A discrete axis displays separate, distinct categories, ideal for categorical data like product types. In contrast, a continuous axis represents a seamless range of values, such as time or temperature, showing data in a flowing sequence. Use discrete for individual groups and continuous for data measured over intervals.

Axis formatting

From the Format menu you can:

  • Change the axis title

  • Sort the axis

  • Adjust the axis scaling (e.g. linear, logarithmic etc.)

  • Adjust the axis range

  • Reverse the axis

  • Format the axis labels

To find the axis formatting menu, you can either:

1. Use the axis menu

Right-click on the axis menu and select Edit axis

2. Use the design bar

Select the ellipses next to the field of the axis you would like to edit, and select Display to open the axis options.

Axis spacing

For categorical axes, find the resizer by moving your mouse between the axis labels until a boundary is highlighted and the cursor changes to a resizer. Then just click and drag to change the spacing between labels:

Rotate axis labels

To rotate axis labels, right-click the axis and select Rotate labels. Labels can only be rotated for discrete mappings.

Hiding/Unhiding an axis

To hide or unhide an axis, right-click on the axis and select Hide axis or Unhide all axes.