164e19962b
Co-authored-by: Claire W <78226508+crwaters16@users.noreply.github.com> Co-authored-by: Anne-Marie <102995847+am-stead@users.noreply.github.com> Co-authored-by: Jules <19994093+jules-p@users.noreply.github.com> Co-authored-by: Jules Porter <jules-p@users.noreply.github.com> Co-authored-by: hubwriter <hubwriter@github.com> Co-authored-by: Robert Sese <734194+rsese@users.noreply.github.com>
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title, shortTitle, intro, versions, complexity, octicon, category, topics, contentType
| title | shortTitle | intro | versions | complexity | octicon | category | topics | contentType | ||||||
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| Generating tables | Generate tables | {% data variables.copilot.copilot_chat_short %} can help you create tables to organize information and present it clearly. |
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copilot |
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tutorials |
{% data variables.copilot.copilot_chat %} can help you create tables for various purposes, such as organizing data, comparing options, or summarizing information. By using tables, you can present information in a clear and structured way that is easy to read and understand. You can ask {% data variables.copilot.copilot_chat_short %} to generate tables based on existing data or to create empty tables based on your specific requirements.
Example scenario
You want to create a reference table for the people on your team, including their roles and availability. You can ask {% data variables.copilot.copilot_chat_short %} to generate a table that summarizes this information in a clear and organized way.
Example prompt 1
Convert the following information into a markdown table:
Name: Alice
Age: 30
Occupation: Engineer
Timezone: PST
Availability: Mon-Fri, 9am-5pm
Name: Bob
Age: 25
Occupation: Designer
Timezone: EST
Availability: Mon-Thu, 10am-6pm
Name: Carol
Age: 27
Occupation: Writer
Timezone: CST
Availability: Mon-Thu, 8am-4pm
Name: Dave
Age: 35
Occupation: Manager
Timezone: PST
Availability: Mon-Fri, 10am-6pm
Name: Eve
Age: 28
Occupation: Analyst
Timezone: CST
Availability: Mon-Fri, 9am-5pm
Name: Frank
Age: 32
Occupation: Developer
Timezone: CST
Availability: Mon-Thu, 11am-7pm
Name: Grace
Age: 29
Occupation: Researcher
Timezone: EST
Availability: Mon-Fri, 9am-5pm
Name: Heidi
Age: 31
Occupation: Consultant
Timezone: PST
Availability: Mon-Fri, 9am-5pm
Name: Ivan
Age: 26
Occupation: Intern
Timezone: CST
Availability: Mon-Thu, 10am-6pm
Example response 1
{% data reusables.copilot.example-prompts.response-is-an-example %}
{% data variables.product.prodname_copilot_short %} will provide you with a markdown table that organizes the information clearly. You can copy the table {% data variables.copilot.copilot_chat_short %} provides and use it in your documentation or project.
| Name | Age | Occupation | Timezone | Availability |
|--------|-----|-------------|----------|-----------------------|
| Alice | 30 | Engineer | PST | Mon-Fri, 9am-5pm |
| Bob | 25 | Designer | EST | Mon-Thu, 10am-6pm |
| Carol | 27 | Writer | CST | Mon-Thu, 8am-4pm |
| Dave | 35 | Manager | PST | Mon-Fri, 10am-6pm |
| Eve | 28 | Analyst | CST | Mon-Fri, 9am-5pm |
| Frank | 32 | Developer | CST | Mon-Thu, 11am-7pm |
| Grace | 29 | Researcher | EST | Mon-Fri, 9am-5pm |
| Heidi | 31 | Consultant | PST | Mon-Fri, 9am-5pm |
| Ivan | 26 | Intern | CST | Mon-Thu, 10am-6pm |
Next steps
You can experiment with different types of visualizations and data to see how {% data variables.copilot.copilot_chat_short %} can help you create organized and easy-to-read information. For example, you could ask {% data variables.copilot.copilot_chat_short %} to use the Timezone and Availability columns to create a Mermaid graph that shows overlapping working hours for team members in different time zones. See AUTOTITLE for more information.
Further reading
{% data reusables.copilot.example-prompts.further-reading-items %}