Noteable (ChatGPT Plugin): Difference between revisions
No edit summary |
No edit summary |
||
| (One intermediate revision by one other user not shown) | |||
| Line 13: | Line 13: | ||
|Price = | |Price = | ||
|Available = Yes | |Available = Yes | ||
|Working = Yes | |||
}} | }} | ||
==Guide== | ==Guide== | ||
===Example Prompts=== | ===Example Prompts=== | ||
Example prompts that utilize the plugin: | Example prompts that utilize the plugin: | ||
#Create a new SQL notebook named {notebook_name} in the project {project_id}. | |||
#Connect the notebook {file_id} to the database {database_name} using the provided credentials. | |||
#Run the SQL query {query} in the cell {cell_id} of the notebook {file_id}. | |||
#Export the notebook {file_id} to a PDF file with the file name {pdf_file_name}. | |||
#Upload the dataset {dataset_file} to the project {project_id} and import it into the notebook {file_id}. | |||
#Clone the notebook {file_id} and save it as {new_notebook_name} in the project {project_id}. | |||
#Add a new markdown cell in the notebook {file_id} with the content {markdown_text}. | |||
#Merge the cells {cell_ids} in the notebook {file_id}. | |||
#Clear the output of all cells in the notebook {file_id}. | |||
#Rename the notebook {file_id} to {new_notebook_name} in the project {project_id}. | |||
==Tips and Tricks== | ==Tips and Tricks== | ||
Latest revision as of 00:53, 24 June 2023
| Noteable (ChatGPT Plugin) | |
|---|---|
| |
| Information | |
| Name | Noteable |
| Platform | ChatGPT |
| Model | GPT-4 |
| Category | Data Analysis |
| Description | Create notebooks in Python, SQL, and Markdown to explore data, visualize, and share notebooks with everyone. |
| Release Date | May 20, 2023 |
| Available | Yes |
| Working | Yes |
Noteable is a Plugin for ChatGPT.
Guide
Example Prompts
Example prompts that utilize the plugin:
- Create a new SQL notebook named {notebook_name} in the project {project_id}.
- Connect the notebook {file_id} to the database {database_name} using the provided credentials.
- Run the SQL query {query} in the cell {cell_id} of the notebook {file_id}.
- Export the notebook {file_id} to a PDF file with the file name {pdf_file_name}.
- Upload the dataset {dataset_file} to the project {project_id} and import it into the notebook {file_id}.
- Clone the notebook {file_id} and save it as {new_notebook_name} in the project {project_id}.
- Add a new markdown cell in the notebook {file_id} with the content {markdown_text}.
- Merge the cells {cell_ids} in the notebook {file_id}.
- Clear the output of all cells in the notebook {file_id}.
- Rename the notebook {file_id} to {new_notebook_name} in the project {project_id}.
Tips and Tricks
Comments
Loading comments...