Adding Data Sets
Last updated
Last updated
The Dataset tab offers a list of uploaded Datasets which can be added to a Data Science Project. The user can get a list of uploaded Data Sandbox from the under this tab.
The Add Datasets page supports only the Data Sandbox as data source with txt, csv, json and xlsx file types.
Pre-requites: The user must configure the Sandbox Settings to access the Data Sandbox option under the Data Science Lab.
Open the Dataset tab from a specific project.
Click the Add Datasets option.
The user gets redirected to the Add Datasets page.
Select the Data Sandbox option from the Data Service drop-down menu.
Click the Upload option to upload a Data Sandbox file.
The user gets redirected to the Upload Data Sandbox page.
Provide a Sandbox Name.
Provide Description about the Data Sandbox.
Click the Choose File option to select a file.
Click the Save option.
It will indicate the loaded data from the selected file in percentage after clicking the Save option. E.g., the following image suggests that 37% data is uploaded from the file.
A notification message appears to indicate that the file has been uploaded (after the data gets loaded 100%).
The user gets redirected to the Add Datasets tab.
Select the Data Sandbox option from the Data Source drop-down menu.
The uploaded Data Sandbox file appears in the list below.
Select a Data Sandbox file using the checkbox given next to the Sandbox entry.
Click the Add option.
A notification message appears to inform that the selected Dataset (in this case, the selected Data Sandbox file) has been updated.
The user gets redirected to the Dataset tab where the added dataset file gets listed.
Please Note:
The user can get a Search bar to search across the multiple Datasets options on the Add Datasets page.
Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. Click here to get redirected to the quick start flow page.
