Project Detail

Get an overview of the project, details about the dataset, environment, and collaborators.

To access the project details screen.

You can get an overview of the project.

When you want to run the project, you can do it through Activate Project > Run Project. 서버 사용을 중단하고자 하는 경우, 서버 비활성화를 클릭하시면 됩니다.

You can check the owner name, owner email, creation date, last update, and number of collaborators of the created project.

The project menu consists of Overview, Data, Environment, Members, and Report.

Overview : A description of the project.
Data : You can check the title of the linked dataset, the size of the dataset, and the date of the last update.
Environment : Means the environment preset of the project.
Members : You can check the names, emails, and roles of members with whom you want to collaborate on a project, and you can delete or add collaborators.
Report : Report is a function to share the results of data analysis with the outside world. Code written in the R&D environment can be generated as a report in HTML format and delivered as a URL link.

You can check the dataset used for the project.

Dataset : Displays the dataset of the Data Catalog linked when creating the project.
Project Data : Users can upload the private data they want locally. Click “Upload Files & Folders” on the right to proceed.

After running the server, you can check the uploaded dataset in the list on the left of jupyter notebook.
In the datasets folder, you can check the linked Data Catalog datasets, and in the prj_data folder, you can check the datasets uploaded to Project Data.

You can check the environment preset of the project.

If you click the "Invite" button on the right, the Add members window will appear. Enter the email address or name of the person you want to invite as a member and click the "Confirm" button to complete the invitation.
Invited collaborators can check the contents of the invited project in Projects > Shared Project.

This is a function to share the data analysis results of the project to the outside.

Click the "Create Report" button on the right side of the report screen.
In the report creation screen, enter a title and detailed description.
Click the arrow on the source file to select the report file you worked on in Jupyter Notebook. (The source file is an .ipynb file and must be located in the reports folder to create a report.)
Click the OK button to generate the report normally.