If you’re unsure about how to create a SciPyR in Infoveave, you can always get assistance by clicking the Need Help button. Upon clicking the button, you’ll be directed to a visual walkthrough on how to create a SciPyR.
Select python workbook Initiate a new SciPyR Workbook by selecting the Python and providing a unique name for the analysis. This step initiates the setup for your Python-based analysis, allowing you to seamlessly integrate Python code and execute it directly within the SciPyR Workbook.
Connect to Datasource for exploratory data analysis Enhance your analysis by integrating SQL queries from Infoveave Datasources. Utilize the Insert Query feature to seamlessly insert SQL queries into the SciPyR Workbook. This step allows you to leverage the power of SQL to retrieve and analyze data within the Python environment.
Build model and generate insights Customize your analysis by adding, editing, and running cells within the SciPyR Workbook. Incorporate Python code specific to your analysis requirements, execute individual or entire sets of cells, and manipulate cells to build and refine your machine learning model. This step is crucial for generating actionable insights from your data.
Save python analysis Save your SciPyR Workbook to preserve your analysis, including Python code, queries, and generated insights. Saving ensures that your work is accessible for future reference, sharing, and further analysis.
Search
The Search Bar at the top-right of the screen allows you to quickly locate any SciPyR within the platform. Simply enter keywords related to the name of the SciPyR or any part of the content you’re searching for.
Card View
When you click on the Card option in the layout filter, the items are displayed in a card-based view, which is the default layout for organizing SciPyRs. This layout provides a more visual representation of the SciPyRs and folders, making it easier to identify and organize items.
List Views
When you click on the List option, the layout changes to a table view, which displays the items and folders in a more detailed, structured format. This layout is ideal for users who prefer seeing data in rows and columns, allowing for quick access to information such as the item name, type, creation date, last update date, and more.
New Folder
To organize your items and SciPyRs more efficiently, you can create a new folder. Here’s how to do it
Click the New Folder button, this will open a popup where you can configure your new folder.
In the popup that appears, you’ll be prompted to enter a name for your new folder. Choose a name that helps you identify the folder’s purpose or contents, such as “Reports” or “Financial Data.”
After entering the folder name, click the Save button to create the folder. The new folder will appear under Folders section.
Export SciPyR Book List
The Export SciPyR Book List feature enables users to download a structured file containing all available SciPyRs within the system. This functionality streamlines data management by providing a comprehensive overview for analysis, reporting, and sharing.
Filter By Type
The Filter By Type feature allows users to refine their search and quickly locate specific SciPyRs based on predefined categories.
Filter By Mode
The Filter by Mode option allows users to filter their analysis based on the mode of the data. In this example, users can choose between two modes Draft and Production.
