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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      • Locking objects
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      • Shared styles
    • Overviews
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    • Count AI
    • 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
      • Date controls
      • Text, number, and boolean controls
      • Custom control cells
    • Local DuckDB cells
      • DuckDB on the server
    • Query caching and scheduling
    • Manage queries and results
    • Troubleshooting
  • Visualizing data
    • Visualization overview
    • Templated visuals
    • Custom visuals
      • Marks
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      • Style
      • Filters
    • Formatting a visual
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        • Secondary Axis
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    • Column summaries
    • 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
    • Sharing permissions
    • Shared links
    • Embedding canvases
  • History and Versions
    • Version control
    • Duplicating and merging
    • Data snapshots
  • Settings and administration
    • Workspace settings
      • Workspace members
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      • Single sign-on (SSO)
        • Okta
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  • Quick guides
    • Interactive control guides
      • Date ranges
      • Date groupings
      • Search
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  • Resources
    • Join the Slack community
  • Blog
  • Security overview
  • Terms of use
  • Pricing FAQ
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On this page
  • Download CSV files
  • Copy CSV data
  • Paste CSV data
  • Spreadsheet data
  1. Import & Export
  2. Export code and results

Export CSV files

Export any cell as a CSV file.

PreviousExport compiled SQL and Jinja-SQLNextExport images and PDF files

Last updated 6 months ago

Download CSV files

After selecting any SQL, Python or visual cell, the option to download results as a CSV file will appear in the floating cell controls. If all cell results are available locally, a CSV file will be generated and downloaded immediately. If the result set is too large to be held locally, Count will execute a new query with no row limit, and the results will be downloaded as a formatted CSV file. (Result size limits of 128MB apply, so if your result set is very large, your download may not contain all rows).

This option will not be available if it has been disabled in your .

If your visual has multiple marks, only the first mark will be downloaded.

Copy CSV data

Right-clicking on a cell (or using the canvas menu in the upper-left) will present the option to Copy as CSV. This action will never execute a new query (unlike the Download CSV option above), but will instead copy the current results for that cell to the clipboard. The copied CSV text will only contain the number of rows that are currently indicated in the cell footer.

Paste CSV data

Spreadsheet data

Copied CSV data is designed to be compatible with popular spreadsheet applications, such as Microsoft Excel or Google Sheets. Pasting CSV data from Count into a spreadsheet will add the pasted data as new cells, and pasting copied spreadsheet ranges into Count will add a new CSV cell.

Once CSV data has been copied, pasting back into the canvas using the keyboard shortcut will create a new . This is a useful shortcut to save a copy of some cell results at a certain point in time.

CSV cell
workspace settings
Find the Download CSV button in the floating cell controls.
Find the Copy as CSV option from the cell context menu.