- Getting started with Airtable
- Introduction to Airtable basics
- Contacting Airtable Support Updated
- Airtable home screen
- Glossary of Airtable terminology
- Airtable technical requirements
- Feature differences between Airtable on desktop and mobile
- Airtable keyboard shortcuts
- Using Markdown in Airtable
- Adding descriptions in Airtable
- Finding Airtable IDs
- Airtable Automations
- Automations Overview
- Automation feature walkthroughs
- Integrated automation walkthroughs
- Airtable automation walkthroughs
- Linking existing records using automations
- Conditional groups of automation actions
- Repeating groups of Airtable automation actions
- Creating recurring records using automations
- How to delay Airtable automation runs
- Prevent automations from triggering by mistake
- Use automations to timestamp status updates
- Automation Triggers
- Airtable Triggers
- Airtable automation trigger: When record matches conditions
- Airtable automation trigger: When a form is submitted
- Airtable automation trigger: When record created
- Airtable automation trigger: When record updated
- Airtable automation trigger: When record enters view
- Airtable automation trigger: At scheduled time
- Airtable automation trigger: When webhook received
- Airtable automation trigger: When a button is clicked
- Airtable automation trigger: When email received Updated
- Integrated Triggers
- Airtable Triggers
- Automation Actions
- Airtable Actions
- Airtable automation action: Send email Updated
- Airtable automation action: Create record
- Airtable automation action: Update record
- Airtable automation action: Find records
- Airtable automation action: Sort list
- Airtable automation action: Run a script Updated
- Airtable automation action: Generate with AI
- Integrated Actions
- Airtable automation actions: Slack
- Airtable automation actions: Google Workspace
- Airtable automation action: Send MS Teams message
- Airtable automation actions: Outlook
- Airtable automation actions: Jira Cloud
- Airtable automation actions: Jira Server / Data Center
- Airtable automation actions: Salesforce
- Airtable automation action: Create post in Facebook Pages
- Airtable automation actions: GitHub Issues
- Airtable automation action: Hootsuite post
- Airtable automation action: Send Twilio SMS
- Airtable Actions
- Airtable Bases
- Using Airtable Cobuilder
- Airtable bases overview
- Creating and managing Airtable bases
- Structuring bases in Airtable
- Moving bases between workspaces in Airtable
- Creating and managing tables in Airtable
- Creating Airtable base share links
- Importing third-party data into Airtable
- Using insights in Airtable
- Troubleshooting Airtable base performance
- Airtable Betas
- Collaborating in Airtable
- Airtable Enterprise Support
- General Enterprise information
- External badging in Airtable
- Using app library and components in Airtable Updated
- Ask an Expert beta overview
- European data residency at Airtable
- Airtable user groups overview
- Airtable Enterprise API
- Creating and managing data retention policies in Airtable
- eDiscovery APIs in Airtable
- Airtable and data loss prevention
- Accessing Enterprise audit logs in Airtable
- Set up Jira Server / Data Center to connect with Airtable
- Admin panel pages
- Airtable admin panel overview
- Users - Airtable enterprise admin panel
- Airtable admin panel user details
- Groups - Airtable admin panel
- Workspaces - Airtable Enterprise Admin Panel
- Bases - Airtable admin panel
- Interfaces - Airtable admin panel
- Data sets - Airtable admin panel
- Managed apps - Airtable admin panel
- Components - Airtable admin panel
- Reports - Airtable admin panel
- Settings - Airtable admin panel Updated
- Managing Enterprise organizations
- Managing Enterprise admins in admin panel
- Using Organizations
- Organization branding for apps in Airtable
- Enterprise Hub in Airtable
- Enterprise Hub: Org unit assignment with user groups Updated
- Deactivating, removing access, and reactivating users in the admin panel
- Managing user access to workspaces and bases
- Airtable Enterprise Key Management Updated
- Custom terms of use New
- Enterprise SSO
- General Enterprise information
- Airtable Extensions
- Airtable Fields
- Fields Overview
- Attachment
- Date-based fields
- Formula
- Getting Started with Formulas
- Formula Foundations
- The essentials of Airtable formulas
- Formula writing tips for beginners
- Troubleshooting formulas
- Basic calculations
- Conditional statements
- Logical arguments
- Working with dates
- Displaying DATETIME_FORMAT using the date field in Airtable
- Working with date functions in Airtable
- Calculating the difference between dates in Airtable
- Supported DATETIME_DIFF unit specifiers in Airtable
- Supported DATETIME_FORMAT format specifiers in Airtable
- Using the DATETIME_PARSE() formula in Airtable
- Working with timezones
- Record functions
- Text functions
- Numeric functions
- Common Solutions: Beginner
- Common Solutions: Intermediate
- Common Solutions: Advanced
- Long Text Field
- Linked Record Field
- Linking records in Airtable
- Limiting linked record selection to a view in Airtable
- Dynamic filtering in linked record fields
- Linking to one, many, or a subset of Airtable records
- Converting existing fields to Airtable linked records
- Reordering record links in Airtable
- Understanding linked record relationships in Airtable
- Number-Based Fields
- Other Fields
- Rollup, lookup, and count fields
- Select and user fields
- Integrating with Airtable
- API
- Getting started with Airtable's Web API
- Creating personal access tokens
- Airtable Webhooks API Overview
- Service accounts overview
- Airtable Web API - Using filterByFormula or sort parameters
- Airtable API Deprecation Guidelines
- Airtable API: Common troubleshooting
- Managing API call limits in Airtable
- URL length limitations for web API requests
- Integration services
- Third-party integrations via OAuth overview
- Troubleshooting disconnected OAuth integrations in Airtable
- Options for integrating with Airtable
- Third-party integrations - Common troubleshooting
- Low-code integrations - Common troubleshooting
- Integrating Airtable with external calendar applications
- Visualizing records from Airtable in Tableau
- Visualizing Airtable records in Microsoft Power BI & Power Query
- Integrating HubSpot with Airtable
- Using Zapier to integrate Airtable with other services
- Using Zapier's Multi-Step Zaps to find and update records
- Using IFTTT to integrate Airtable with other services
- Integrating with AWS Lambda & DynamoDB
- Developer tools
- API
- Airtable Interface Designer
- Interface Designer overview articles
- Interface layouts
- Interface elements
- Adding and removing elements in interfaces
- Adding layouts to interfaces
- Formatting elements in interfaces
- Interface element: Button
- Interface element: Calendar
- Interface element: Chart
- Interface element: Filter
- Interface element: Gallery
- Interface element: Grid
- Interface element: Kanban
- Interface element: Number
- Interface element: Record picker
- Interface element: Text
- Interface element: Timeline
- Learning and Resources
- Managing Airtable
- Airtable Policy
- Airtable Records
- Airtable Sync
- Airtable Views
- Airtable Workspaces
- Print
- Share
- DarkLight
- PDF
All paid plans | |
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Platform(s) | Web/Browser, Mac app, and Windows app |
Related reading | |
Extension - Extensions are modular components that add visuals or functionality to a base, and were shown in the base's dashboard. Users can create custom extensions, or they can use extensions created by Airtable or other open-source extensions. |
Setting up a chart extension
Learn how the chart extension can be set up to visually display understandings from records in a base. The chart extension lets you visualize records in multiple chart types including bar chart, line chart, scatter plot, pie chart, and donut chart.
Installing the chart extension
When you first install a chart extension, it'll automatically open the new extension's settings page. From the settings, you can select the desired table and view you wish to visualize.
Choosing a chart type
Next, you can pick which of the chart types you want to use: bar, line, scatter, pie, or donut. Here's some general tips on how to pick the correct chart.
Bar charts are generally used to compare specific X-axis values, like the number of assignments each collaborator has in a project management base.
Line charts are most often used to track changes over time, but they can also be used for when there is some other sequence, like stages in a pipeline.
Scatter plots are most useful for showing how much one variable is affected by another variable.
Pie and donut charts are both useful in situations where you want to compare the relative proportions of a data set's constituent subsets.
Configure the x-axis
Once you've picked a chart, you'll need to pick a field for your chart's X-axis.
Certain field types offer additional customization choices for the X-axis. For example, if you pick a date field as the X-axis, you'll have the option to bucket the date values by week, month, quarter, and so on. You can also choose to whether or not to include data from cells that are empty in the specified field by selecting the "Include empty cells" option.
Once you've set up the X-axis, you'll need to set up the Y-axis.
Configure the y-axis
By default, the Y-axis is configured to show Count. This means that the chart will plot the number of records that have each X value on the Y-axis. To use one of your other fields for the Y-axis, click the Field option. Note that you have to pick a numeric field.
You can either plot all of the values in the field, which is useful for a scatter plot, or you can aggregate the values to show the sum, minimum, maximum, or mean of all of the values, which is more useful for line or bar charts.
Sorting
For a bar, line, or scatter chart, you can sort using one of the following options.
View: Order in view
X value: X-axis value (numerical order for number types, alphabetical for string, order of select options for single select / split multi select)
Y value: Y-axis value (ie count, summary value, etc)
Grouping
You can also choose to group by a third field, if you have any single select or single collaborator fields. Choosing to group your records will introduce individual colors for each group, giving you more options for visually distinguishing between different bars, points, and lines.
Here's another example showing multiple lines plotted by using the grouping option.
The stack option stacks the different groups on top of each other.
For line graphs and scatter plots, you also have the option of setting the Y-axis to always start at zero.
Interacting with a chart
Once you're done configuring the chart, you can hover over points on the chart to get more information about the underlying data (note that we don't otherwise display the values as labels). Clicking on a point or bar will bring up the relevant record, or a relevant list of records.
You can also double-click an item in the legend for a quick drill down.
On a line chart or scatter plot, you can zoom in by clicking and dragging your mouse to define a range.
You can also make pie and donut charts with chart extension. A pie chart is used in situations when you want to illustrate proportionality: the arc lengths of the pie slices represent the relative proportions of the data set's constituent subsets. A donut chart is pretty similar to a pie chart, but—as you might guess—it has a hole in the middle.
Supported fields for chart extensions
Field type | x-axis support | y-axis support |
---|---|---|
Autonumber | ✅ | |
Barcode | ✅ | |
Checkbox | ✅ | |
Count | ✅ | ✅ |
Created time | ✅ | |
Currency | ✅ | ✅ |
Date | ✅ | |
Duration | ✅ | |
✅ | ||
Formula | ✅ | ✅ |
Last modified | ✅ | |
Linked record | ✅ | |
Long text | ✅ | |
Lookups | ✅ | ✅ 1 |
Multiple select | ✅ | |
Number | ✅ | ✅ |
Percent | ✅ | ✅ |
Phone number | ✅ | |
Rating | ✅ | ✅ |
Rollup | ✅ | ✅ 1 |
Single line text | ✅ | |
Single select | ✅ | |
URL | ✅ | |
User | ✅ |
1 Must be looking up or rolling up a value that is formatted numerically.
Attachment, Button, Created by, and Last modified by fields are unsupported in the chart extension.
FAQs
Can you plot values?
Currently, the chart extension cannot display more than one field value per record that it's plotting.
Is there a way to separately identify overlapping scattered points in the scatter chart?
At the moment, the Chart Extension scatter option can result in overlapping points when one or more records' field values are close or identical, which can lead to one point covering up the other points on the chart. As an alternative, we recommend checking out the Vega-lite chart extension which can be used for more complex charting capabilities.
How can I sort or filter the Chart Extension's output?
It is possible to further sort or filter the records shown in a Chart Extension by modifying the underlying view that the extension references.
Can I export or print the chart I created using the Chart Extension?
Only the page designer and org chart extensions currently support exporting/printing at this time. As a workaround, we recommend using the screenshot function of your device to take a picture of your created chart.