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>
111 lines
3.6 KiB
Markdown
111 lines
3.6 KiB
Markdown
---
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title: Generating tables
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shortTitle: Generate tables
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intro: '{% data variables.copilot.copilot_chat_short %} can help you create tables to organize information and present it clearly.'
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versions:
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feature: copilot
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complexity:
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- Simple
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octicon: copilot
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category:
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- Communicate effectively
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- Author and optimize with Copilot
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topics:
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- Copilot
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contentType: tutorials
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---
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{% 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.
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## Example scenario
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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.
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## Example prompt 1
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```text copy
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Convert the following information into a markdown table:
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Name: Alice
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Age: 30
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Occupation: Engineer
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Timezone: PST
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Availability: Mon-Fri, 9am-5pm
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Name: Bob
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Age: 25
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Occupation: Designer
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Timezone: EST
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Availability: Mon-Thu, 10am-6pm
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Name: Carol
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Age: 27
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Occupation: Writer
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Timezone: CST
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Availability: Mon-Thu, 8am-4pm
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Name: Dave
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Age: 35
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Occupation: Manager
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Timezone: PST
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Availability: Mon-Fri, 10am-6pm
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Name: Eve
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Age: 28
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Occupation: Analyst
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Timezone: CST
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Availability: Mon-Fri, 9am-5pm
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Name: Frank
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Age: 32
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Occupation: Developer
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Timezone: CST
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Availability: Mon-Thu, 11am-7pm
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Name: Grace
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Age: 29
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Occupation: Researcher
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Timezone: EST
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Availability: Mon-Fri, 9am-5pm
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Name: Heidi
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Age: 31
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Occupation: Consultant
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Timezone: PST
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Availability: Mon-Fri, 9am-5pm
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Name: Ivan
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Age: 26
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Occupation: Intern
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Timezone: CST
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Availability: Mon-Thu, 10am-6pm
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```
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## Example response 1
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{% data reusables.copilot.example-prompts.response-is-an-example %}
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{% 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.
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```markdown
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| Name | Age | Occupation | Timezone | Availability |
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|--------|-----|-------------|----------|-----------------------|
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| Alice | 30 | Engineer | PST | Mon-Fri, 9am-5pm |
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| Bob | 25 | Designer | EST | Mon-Thu, 10am-6pm |
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| Carol | 27 | Writer | CST | Mon-Thu, 8am-4pm |
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| Dave | 35 | Manager | PST | Mon-Fri, 10am-6pm |
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| Eve | 28 | Analyst | CST | Mon-Fri, 9am-5pm |
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| Frank | 32 | Developer | CST | Mon-Thu, 11am-7pm |
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| Grace | 29 | Researcher | EST | Mon-Fri, 9am-5pm |
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| Heidi | 31 | Consultant | PST | Mon-Fri, 9am-5pm |
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| Ivan | 26 | Intern | CST | Mon-Thu, 10am-6pm |
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```
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## Next steps
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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](/copilot/tutorials/copilot-chat-cookbook/communicate-effectively/creating-diagrams) for more information.
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## Further reading
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{% data reusables.copilot.example-prompts.further-reading-items %}
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